Day Centers Inspire: the white paper, the research report, and the claim ladder behind the Day Center Companion

Version: Condensed summary, July 2026. Evidence verified through July 17, 2026.

Audience: boards, funders, partners, and staff who need the short version first.

This summary condenses the full research paper. Every statement here is expanded, sourced, and bounded there — switch to the Full paper view or export it for methods, citations, and the complete claim discipline.

• The strongest direct evidence is caregiver relief on service days: in daily-diary research, dementia caregivers reported fewer care-related stressors and better mood on adult day service days (Zarit et al., 2014).
• Participant value is real but measured differently: families and participants describe belonging, friendship, routine, and meaning, and a 2025 e-Delphi consensus (Scher et al., Sage Open Aging) now names the person-centered measures to track them.
• Placement claims require restraint: direct evidence is sparse, and the two studies that tested it found increased placement among adult day users — most plausibly selection by higher need, not harm. "Adult day delays placement" is not a claim we make; it stays an open local research question.
• Cost and savings stay promising but mixed: the strongest economic study to date found favorable savings estimates that were not statistically significant (Pizzi et al., 2025).
• The software is a second layer of value that must be measured separately: the reviewed Daily Summary and the Care App were shaped by staff and family conversations and are informed by patient-centered and narrative communication research (Street et al., 2009; Hinyard and Kreuter, 2007), and their local effects are measured at 30, 90, and 180 days — never assumed from the service-day evidence.
• Funding is a braid, not a single payer: Medicaid remains the anchor, Medicare's GUIDE model pays respite through a partnering GUIDE program — CMS never pays centers directly — and family fees, Older Americans Act contracts, veterans programs, and philanthropy complete the picture.

• Participants get a structured, person-centered day with meals, activity, supervision, and social connection — judged by belonging and choice, not attendance alone.
• Family caregivers get protected respite backed by the field's strongest evidence, plus reviewed communication designed to extend understanding into the evening.
• Staff get a workflow meant to return context and follow-through — with its real workload effect measured, not marketed.
• Funders and partners get documented service, dated figures, and locally measured outcomes — with null results reported alongside wins.

• 63 million U.S. adults — nearly 1 in 4 — were family caregivers in 2025; 59 million cared for someone 18 or older (AARP and National Alliance for Caregiving, Caregiving in the U.S. 2025).
• Medicare GUIDE respite: a $2,625 annual allowance in the 2026 performance year, about $104 per adult day at the CMS base rate, paid through a partnering GUIDE program.
• Family fees: the 2025 CareScout median sits near $95 per day.
• Medicaid paid for some or all services for about 79% of adult day participants in 2022 (NCHS Data Brief No. 502, from the 2022 NPALS wave) — still the latest published national estimates as of July 2026.
• The ADS Plus caregiver-support program cost about $433 per caregiver to deliver over 12 months; estimated payer and societal savings were favorable but not statistically significant (Pizzi et al., 2025).
• Local public funding is real: a 2024 senior-services millage approved by five of the six Grosse Pointe and Harper Woods communities raises about $1.2 million a year, beginning with the 2025 levy.

Evidence earns the next claim. The measurement standard runs at 30, 90, and 180 days:

• caregiver strain and respite value, in the caregiver's own words;
• participant engagement, preference fit, and belonging — observed, not inferred from attendance;
• safety observations with review times and documented follow-through;
• family communication quality: timeliness, accuracy, comprehension, and trust;
• staff workload, adoption, and after-hours documentation;
• funding documentation completeness by payer.

Share what works: start with the agencies you already report to and the centers you already know — findings worth repeating are meant to travel openly, and the commons that would carry them further is this ecosystem's standing ask.

The full paper expands every statement here: the evidence review by domain, the portal, Daily Summary, and Care App evidence matrices, the three closed learning loops, the funding mechanics and sources overview, the Helm measurement standard, instrument registry, and evidence governance, the local evaluation blueprint, the behavior models behind the design, the risk register and claim registry, and the complete reference list. AI drafts, staff decide — and what it all adds up to is measured locally, never promised.

A genusConnect community white paper

What if we could bring the right resources together — supporting research, what actually works in practice, and the lived knowledge of participants, family caregivers, volunteers, care teams, and the social workers who walk families to a center's door — the people on the front line of care?

What if every interaction — every welcome at the door, every observation, every evening note home — quietly built an ecosystem that strengthens not only one local day center, but a shared body of knowledge that helps all of us care better, together? And what if, along the way, it brought out the best giver of care in each of us?

This paper is about that what if — and about the practical, honest system a community adult day center can run today to live it.

Adult day centers give older adults a meaningful, supervised day and give family caregivers the protected breathing room that keeps home-based care sustainable. This paper brings the whole story together for community stakeholders: the mission, the research, the operational software that carries a day from intake to a family's evening note, the measurement standard that turns warm care into local evidence, and the funding opportunities that consolidated, credible data unlocks. It is written to be shared — with municipal partners, health systems, funders, volunteers, and the families the work exists for.

• Adult day centers reliably deliver structured, social, supervised days for older adults and protected respite for family caregivers — and caregiver relief is the field's best-evidenced outcome.
• One integrated workflow — intake, roster, reservations, activity capture, Daily Summary, family loop, closeout — turns each day into a warm, staff-reviewed evening note for families and one accountable record for partners and funders.
• Real, rule-bound funding exists: Medicare's GUIDE dementia respite benefit, Older Americans Act contracts through Area Agencies on Aging, Medicaid waivers, grants, and family giving — every figure dated, every claim measured locally, nothing promised.
• AI assists and staff decide: nothing reaches a family or the record without human review, and families-first protections come before every dollar.
• Illustrative stories — Mary's rediscovered painting, John's calmer evenings, the Lawns' prepared family meeting — show the same workflow doing its quiet work.
• The invitation: ask a center to show you its record — that is where every partnership in this paper starts, and where the shared knowledge that makes every giver of care better begins.
• An eye to the future: planned features — from the Mingle family room and home robot companions to interactive volunteering — extend the same warmth into the home, staged by family approval with safety controls, nothing promised.
• Inspired by the front line, backed by carePhysics: every flagship feature states its purpose, the value it offers the person of care, family, and community, and the named research behind it — design support stays separate from outcome claims, which remain measured locally.

The strongest case for local community adult day centers is not that they solve every problem in aging. It is that they reliably do several important things at once:

• Create structured, supervised, socially meaningful daytime support for older adults.
• Give family caregivers protected respite that research links to lower daily strain.
• Create repeated opportunities to notice changes in mood, safety, nutrition, function, and caregiver strain.
• Serve as a practical bridge between home, community services, and healthcare.

The clearest and most measurable outcome domain is caregiver relief. Participant benefits — structured routine, social connection, nutrition support, and respectful observation — are meaningful and consistently described in service standards. Claims about delayed placement and reduced total cost of care remain promising but mixed and should be measured locally before anyone promises them.

This work has been shaped in pilot use at day centers; we are early, and the record — not a claims sheet — is what we would show you. What is new is the operating discipline underneath the warmth. With Community Sense, every capture during the day — attendance, activities, observations, team notes — has a destination: a personalized, staff-reviewed note that returns home to the family, and a measurement record that returns value to the community. Observation becomes connection, and it becomes evidence.

When a family is caring for a loved one with dementia, an adult day center can offer hope, reassurance, and a steady path forward that the whole care team walks together. It is a trusted, purpose-filled resource that answers a family's hardest season with a meaningful day, reviewed follow-up, and a team united around better care.

The need is national in scale. An estimated 63 million U.S. adults — nearly one in four — were family caregivers in 2025, 59 million of them caring for someone age 18 or older (AARP and the National Alliance for Caregiving, Caregiving in the U.S. 2025). Adult day centers are part of the infrastructure that keeps that unpaid care standing.

For staff, volunteers, and teammates, the same work carries mission and purpose: shared resources, a clear vision for better care, and a hopeful path through a journey that can otherwise feel isolating. The mission is simple to say and demanding to deliver — help families keep caring without carrying everything alone.

An adult day center is a safe, structured place to spend the day: meaningful activities, meals, companionship, supervision, and caring support. It is a welcoming community setting where each person is known, expected, and gently invited into a day shaped by purpose. Each day blends routine and belonging: arrival, meals, movement, creative and social time, rest when needed, and respectful observation by trained, compassionate staff who know what to notice.

Preparation and documentation still matter because they protect the person and the team. The record should show what was planned, what happened, and what needs follow-up — without the paperwork becoming the point.

Family caregivers often carry the invisible work of watching, planning, remembering, and worrying. The framing experienced staff and focus groups taught us: a trusted center protects time for work, rest, appointments, or recovery without asking the family to stop caring — and families can come back with more patience, confidence, and connection.

The best family updates bring home something human — and something to use: a question to ask over dinner, an activity to try at home, a care tip for the next visit, a nudge for the caregiver's own rest, and something to plan together.

The research case is strongest when the claim stays close to the caregiver experience, and it stays credible when mixed findings are named plainly.

Every stronger statement a center wants to make should be measured locally first. That discipline is not a limitation — it is the foundation of the funding case in this paper's final sections.

On adult day service days, caregivers report fewer care-related stressors, more positive experiences, and less emotional spillover from other stressors. On program days, a caregiver finally naps, works, or just breathes — and the research says that exhale is real and measurable. Centers that pair respite with reviewed, family-safe follow-up extend that relief into the evening: the caregiver gets a break and stays connected to the person they love. For many families the stakes are also practical: reliable respite days protect the hours a caregiver needs to sustain employment alongside caregiving — a benefit worth asking about, and measuring, at every caregiver check-in rather than promising in advance.

Participant value comes from the whole service model: structured routine, meaningful activity, meals, social connection, supervision, respectful observation, and follow-through. Community value grows when the center connects families with transportation, resources, volunteers, and trusted local support — and volunteers add something no workflow can manufacture: the gift of love and time.

The software described in the next section did not begin with a framework — it began with real conversations: meetings with families, care teams, and social workers, and the needs and approaches surfaced by participants, caregivers, and volunteers through pilots and focus groups. carePhysics, the science of engagement shared across the genusConnect ecosystem, is the evidence-based methodology that supports what those conversations surfaced — turning front-line wisdom into a method a center can validate, measure, and improve, aligned with best accepted practices. Ten principles guide the build. Five idealisms are grounded in science, theory, models, and decades of healthcare and caregiving study — holistic care, awareness, behavioral influence, communication, and community. Five implementation principles put those ideals to work inside real workflows — engagements, pathways, technology, care AI, and scoring. The behavior models underneath have names and long research histories: the Health Belief Model, Social Cognitive Theory, the Transtheoretical stages of change, Self-Determination Theory, and social-support research.

The framework also governs delivery — how content and messages are shaped so a stretched caregiver can actually take them in: see the value, see an example, understand the next step. It is why an evening note leads with the moment that mattered rather than a checklist, and why an education module opens with why it matters before it asks anything of the reader. The same arc is built into the system at each stage: intake asks how a family communicates, the day is captured close to the moment, the note follows the style the family chose, and home follow-up closes the loop.

carePhysics governs how the software is built; what it achieves at any center is measured locally, and AI output stays staff-reviewed — AI drafts, staff decide. The framework is also deliberately open: partner content packs, family communication styles, and each center's own practice wisdom are part of the design, so the science arrives carrying the community's own voice.

The discipline is now visible feature by feature: each flagship capability — from the roster and the Daily Summary to the Care App's shared calendar and education modules — states its purpose, the value it offers the person of care, the family, and the community, and the named research behind it. The full mapping lives in the research report's Feature Value And Supporting Research table; the highlights:

The boundary holds everywhere it matters: models and studies explain why features are shaped the way they are; planned features carry no supporting-study claims at all; and what any center achieves stays measured locally at the 30-, 90-, and 180-day checkpoints.

A good day starts with a family telling their story — and a team capturing it well. Adult Day Form4, the center's twelve-part comprehensive intake and assessment, is where that story is kept. The intake captures who this person is — function, history, activity preferences, communication preferences, caregiver strain, safety context, allergies and meal safety, medication support, and the goals the family describes along the way — and seeds the participant profile that travels with them from that day onward. From there, Community Sense carries the day end to end:

• The roster gives staff context before action: program badges, status, risk, and care cues on every row.
• Reservations plan who is expected, when, and under what capacity — so the room is ready before the person arrives.
• Activity Center captures the day close to the moment: attendance, activities, observations, images, team notes, incidents. Nothing here is filing for its own sake; every entry is raw material for the handoff, the record, and tonight's family note.
• Closeout reconciles planned against actual, so the record never tells conflicting stories about what happened.

The intake is not a filing exercise. Its embedded screens auto-score — Katz and Lawton function scales and the Hendrich II fall-risk items roll up into risk summaries and a derived health-risk assessment — while a built-in social-needs screen and a caregiver-strain check (the caregiver treated as the "hidden patient," with supports and follow-up actions recorded) round out the picture. Meal-safety and medication-support details become the care cues staff see on the roster, filtered to show genuine risks only. And the record stays trustworthy: every intake change is versioned, conflicting edits are caught, drift between the latest intake and the live profile is flagged for safety-critical fields, and AI assistance draws only on staff-selected sources, with private notes excluded unless explicitly unlocked.

One premise of the intake's lineage leads, because it is about the person answering: caregivers speak most honestly about strain when the person they care for will not read their answers — so caregiver strain responses stay caregiver-only by default, kept out of family-facing outputs. That discipline, like much of the caregiver measurement here, adapts practice patterns from Rush University Medical Center's Caring for Caregivers (C4C) program — developed by Rush's Center for Excellence in Aging with support from the RRF Foundation for Aging and The John A. Hartford Foundation, in collaboration with the Institute for Healthcare Improvement — and the intake itself is 4Ms-informed: What Matters, Medication, Mentation, and Mobility map onto fields the form already carries. The lineage informs how we ask and measure, never what we promise; the C4C reference note carries the evidence grading and the "What Matters" construct distinction.

The Daily Summary is where every capture pays off. Staff see every participant's day at a glance, confirm the day is documented while details are fresh, and generate a warm, staff-reviewed note for each family — evidence-informed summaries with meaningful, actionable items, shaped by the participant's profile — built from intake onward — and the notes the team added through the day.

The note delivers more than what happened: questions to ask, activity ideas for home, care tips for the participant, caregiver self-care, and topics for planning the next visit. AI assists with the wording — never the decision. Each draft is written in the style the family chose at intake, and staff make it personal. Nothing reaches a family without a human yes.

Where deployments enable it, the Care App carries the day home: drop-off context in the morning, a reviewed story in the evening, secure comments, gentle home follow-up, and care-circle sharing. Every capability is deployment-dependent and staff-reviewed — the app extends the relationship without ever becoming an unreviewed live feed. This is what all the noticing was for: family, participant, staff, volunteers, and community holding one story together.

The research honesty here matters. A 2024 scoping review of caregiver apps for care planning (Kelley et al. — 34 papers representing 25 studies) found mostly pilot and feasibility evidence and no proven integrated care-planning app, while the adult-day-specific CareMobi studies show families and staff value timely two-way communication in small feasibility samples (Zheng et al., 2024; Sadarangani et al., 2026; Wei et al., 2026). Families clearly want this channel; no one has yet proven its outcomes — which is exactly why the Care App's value is stated as measured locally, never assumed.

Because the day is captured once and captured well, the system can generate progress reports that make meetings meaningful instead of anecdotal: family conferences grounded in the actual record, care-plan conversations that start from observed change, and partner or funder reviews built on consistent local data.

The standard is deliberately small enough for staff to sustain — and every data point must earn its place by helping staff care today, showing family sustainability over time, or helping partners understand value. Outcomes are measured locally, which is exactly what makes them credible.

The measurement runs as three closed learning loops: the family loop (home context in, reviewed summary out, questions answered by a named owner), the center quality loop (recurring signals reviewed, workflows adjusted, effects remeasured), and the community and funder loop (honest reports out, decisions and resources back). A loop counts as closed only when action and feedback return to whoever raised the signal — data sent is not a loop closed. And every public claim carries a status the research paper defines: established, supported, or a local hypothesis a center's own numbers must prove. What the loops teach is meant to travel, too: collected and shared openly across day centers, community centers, leading foundations, and agencies — so the next center starts further ahead.

The families below are illustrative composites — realistic stories, not real participants — showing how the system works from intake form to evening note.

Mary finds her paintbrush again. Mary's intake form taught the team what no chart would have: decades of watercolor, mornings as her best hours, a tendency to go quiet when rushed. Daily observation confirmed she lights up at the art table, so the Daily Summary told her family plainly — Mary really loves painting — recommended trying it at home, and added follow-up questions to ask about her week. One Sunday later, her daughter texted the team a photo of a kitchen-table watercolor, signed for the first time in a year.

John's family, in the sandwich years. Caring for John while raising two kids, his daughter opted in to medication support with scheduled reminders and the special foods his swallowing needs require. The Daily Summaries she reads carry discussion topics and long-term-planning threads, so the big conversations start early and gently — and her evenings are about dinner, not pill counts.

The Lawns' prepared meeting. Moe Lawn — yes, like the chore, and he tells the jokes first — attends on Medicare GUIDE respite days, each one documented for the partner that tracks his allowance. His mornings start with a walk outside and his afternoons often end in lawn-bowling victories that grow a little with each retelling; his granddaughter Gabby collects the stories. Before his family conference, staff-reviewed AI gathered the season's progress into a meeting summary his daughter could hold — twenty minutes about her father's good Thursdays, not a binder of assembled paperwork.

These stories are what the measurement record looks like from the inside: intake context that daily observation confirms, summaries that carry it home, and a record that can show a funder — honestly — what the work did.

Consolidated, consistent measurement does more than improve care — it opens doors. These are opportunities to pursue, each strengthened by the validation story this system makes possible, and each governed by one rule: families are protected first, and every dollar figure stays dated to its program year.

Medicare's GUIDE dementia care model (July 1, 2024 through June 30, 2032) treats caregiver education, community coordination, and respite as parts of a serious dementia-care strategy. Eligible families receive an annual respite allowance — $2,625 in the 2026 performance year — that can pay for adult day center care at the CMS-set base rate of about $104 per adult day, paid through a partnering GUIDE program; CMS never pays centers directly, and new applications are closed, so partnership with an existing program is the path in. Participating programs also receive monthly per-patient care-management payments (launch-year base rates ranged from about $150 to $390 per month in a family's first six months and $65 to $220 after; actual payments are geographically and inflation-adjusted). A center that can show attendance, caregiver-strain checkpoints, and reviewed family communication is positioned to partner credibly rather than aspirationally.

Adult day care is a named Older Americans Act Title III-B supportive service ($410 million account-wide in FY2024), and the Title III-E caregiver program ($205 million in FY2024, $207 million in FY2025, and $209 million enacted for FY2026) funds respite delivered in adult day settings. These dollars reach centers through Area Agency on Aging contracts — in our partners' experience commonly multi-year and unit-rate, with the OAA's modest non-federal match — and Medicaid carries most of the sector: about 79% of participants had some or all of their services paid by Medicaid in 2022. Local outcome reports — attendance, engagement, caregiver relief signals, referral completion — give municipal partners the accountability trail public funding requires.

Most centers' baseline revenue is still the family itself: transparent daily or half-day rates — the 2025 CareScout Cost of Care Survey places the national median adult day rate near $95 per day — with sliding scales set case by case, and voluntary contributions only for publicly funded slots, where no one may be turned away over payment. Clear statements and visible account balances keep that relationship as honest as the care itself.

Family-stability and caregiver-health funders ask two questions: is the need real, and will we see what our money did? The measurement cadence in this paper answers both — a baseline, a 30/90/180 rhythm, and reports a program officer can read. Streams worth watching include the federal Lifespan Respite Care Program, respite-innovation grants to providers, and state caregiver-support benefits.

There is also a structural story funders recognize. Clinical caregiver programs — Rush's C4C among them — assess a caregiver's needs and then refer out for respite; a community day center is where those referral arrows land. Positioned that way, the center is the community arm of the Age-Friendly ecosystem, and a day-center grant becomes the downstream complement of the caregiver work funders such as the RRF Foundation for Aging and The John A. Hartford Foundation already support upstream. C4C's own access model — a philanthropy-underwritten first session at no cost to the family — is a pattern a center can propose in its own terms: a funded first day, so a family's first step costs nothing but the visit.

One system carrying intake, daily capture, family communication, closeout reconciliation, and progress reporting means the numbers agree with each other. That consolidation is the validation: no hand-built spreadsheets, no conflicting stories — one accountable record from the first hello to the funded renewal. Funding claims stay honest by design: respite and caregiver relief lead, mixed outcomes stay promising but mixed, and every stronger claim waits for local proof.

What the center itself gains is the same story seen from the inside: referral credibility with partners who can see the work, family trust that keeps a census steady, the day captured once by design to return staff hours to care — the kind of workplace skilled caregivers choose — and records that are ready when a funder or auditor asks. No revenue projections are needed for that case — it is simply what an accountable operation looks like.

Everything in this paper so far is running today. What follows is the road ahead — shared early and promised carefully, because families and partners deserve to see where the workflow is headed. The principle does not change: human connection stays at the forefront, and technology exists to help keep watch, assist with trends, and make connections — designed, at every step, to do it with warmth.

The planned wave extends the loop into the home. Family-added IoT devices — temperature, motion, power — with per-signal sharing choices, and aggregate trends only on the center side. A Mobile Monitor that turns a loved one's phone into a quiet presence signal. Mingle, the interactive family room — games and voice coaching grown from the same technology behind the staff-side Mingle Coach — becomes the safe calling path: approved callers only, answering like a normal call on phone or watch, with call documentation kept only if the family chooses. genus Companion's family coach mode guides conversations and answers basic caregiving questions — never medical advice — and can join a family meeting with a bit of personality, where the family selects it. A smart picture frame puts the day's reviewed moments on the wall, and a tap on a photo sends a thinking-of-you back. Watch signals add fall detection and step and sleep trends — trends, never diagnosis. And story capture, with family approval, turns Mingle sessions into a transcribed family story book — the stories a grandchild collects, kept for good.

Home robot companions may sound far out; we anticipate early adoption beginning in the next 12 to 18 months, and the system is designed to welcome them with warmth — gentle scheduled check-ins, approved family messages, a missed check-in escalating through the family's chosen ladder, and hardware camera and microphone switches under the family's hand.

And the ecosystem gives back. Interactive volunteering runs both directions: vetted, trained volunteers make friendly calls through the approved-caller path — and homebound and isolated adults can become volunteers themselves, taking calls and helping others globally, with safety and mission controls on every connection. The ambition reaches past senior care toward meaningful care and coaching for anyone who needs it — shaped, like everything before it, by the people it serves. And we will keep learning as features ship: what pilots, centers, and families teach will change what we build.

None of this section is a commitment. Every planned capability arrives in stages, gated by family approval and each deployment's configuration, under the same staff-review and consent controls that govern everything else in this paper.

Day centers hold love and structure together every working day — that is the centers' craft. Ours is smaller: the software keeps the memory, the Daily Summary carries the day home to the family, the Care App keeps the circle connected, and the measurement standard — with the research behind it — turns all of it into a story a community can fund with confidence. Nothing captured is meant to be busywork — it is connection, waiting to be delivered, and the measurement standard checks it stays that way. This work has been shaped in pilot use at day centers; we are early, and we would rather show you the current record — dated figures, local measures — than another promise. The what if that opens this paper is not hypothetical: each center that measures honestly adds to a shared understanding of what good days require — and every partner who joins helps the next family start further ahead.

It starts where Mary's story ended: a kitchen-table watercolor, signed for the first time in a year — and the question of how many more families could have a day like that. Today, the conversation starts through whoever shared this paper with you, or through a center whose record you ask to see. The first conversation is a simple one: what your community needs, what a day at the center holds, and what the record can already show. That record is ready from day one — the 30-, 90-, and 180-day measurement rhythm, every figure dated to its program year, and family communication reviewed by staff before it goes home. It carries no projections — only what happened, and what still needs follow-up.

Each partner adds to more than one center. What this work teaches is passed on across day centers, community centers, and agencies, so no one has to learn the same lesson twice. If you fund, refer to, or run a center, bring the question you most want answered — we would welcome the conversation, and the record is where we would start it.

• Zarit, S. H., Kim, K., Femia, E. E., Almeida, D. M., and Klein, L. C. (2014). Daily stressors and adult day service use by family caregivers. The Gerontologist. https://doi.org/10.1093/geront/gnt045 (opens in a new tab)
• Centers for Medicare and Medicaid Services. GUIDE Model. https://www.cms.gov/priorities/innovation/innovation-models/guide (opens in a new tab)
• Centers for Medicare and Medicaid Services. GUIDE Payment Methodology Paper, Version 3.0 (effective June 1, 2026; respite allowance and PY2026 base rates, Section 5 and Exhibit 17) and MLN GUIDE fact sheet MLN7172818. https://www.cms.gov/priorities/innovation/files/guide-payment-methodology-paper.pdf (opens in a new tab)
• Congressional Research Service. Older Americans Act: Overview and Funding (R43414, updated May 2024) and Administration for Community Living budget documents (FY2025-FY2026 figures). https://acl.gov/about-acl/budget (opens in a new tab)
• Older Americans Act Sec. 315, 42 U.S.C. 3030c-2 (voluntary contributions; no one turned away over payment).
• CareScout Cost of Care Survey 2025 (median adult day service rates; results published March 2026). https://www.carescout.com/cost-of-care (opens in a new tab)
• Lendon, J. P., Singh, P., and Lu, Z. (2024). Adult Day Services Center Participant Characteristics: United States, 2022. NCHS Data Brief No. 502 (2022 NPALS wave; Medicaid payment figure). https://www.cdc.gov/nchs/products/databriefs/db502.htm (opens in a new tab)
• Michigan Department of Health and Human Services, ACLS Bureau. Operating Standards for Service Programs — Section C-1, Adult Day Services (updated October 2024): assessment, reassessment, activities, nutrition, and caregiver support requirements.
• Udeh, K. C., and Menne, H. L. (2025). Impact of adult day service on long-term care placement: a scoping review. Dementia, 24(7), 1388-1403. https://doi.org/10.1177/14713012251334676 (opens in a new tab)
• Rosenstock, I. M. (1974). Historical origins of the Health Belief Model. Health Education Monographs.
• Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory.
• Prochaska, J. O., and Velicer, W. F. (1997). The Transtheoretical Model of health behavior change. American Journal of Health Promotion.
• Ryan, R. M., and Deci, E. L. (2000). Self-Determination Theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist.
• Cohen, S., and Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin.
• Street, R. L., Jr., Makoul, G., Arora, N. K., and Epstein, R. M. (2009). How does communication heal? Pathways linking clinician-patient communication to health outcomes. Patient Education and Counseling.
• Kreuter, M. W., and colleagues (2007). Narrative communication in cancer prevention and control. Annals of Behavioral Medicine.
• Hinyard, L. J., and Kreuter, M. W. (2007). Using narrative communication as a tool for health behavior change. Health Education and Behavior.
• Branch, R. M. (2009). Instructional Design: The ADDIE Approach. Springer.
• Keller, J. M. (1987). Development and use of the ARCS model of motivational design. Journal of Instructional Development.
• Kotler, P., and Zaltman, G. (1971). Social marketing: an approach to planned social change. Journal of Marketing.
• Gitlin, L. N., and colleagues (2024). Embedding caregiver support in adult day services: caregiver depressive-symptom outcomes at 12 months.
• AARP and National Alliance for Caregiving (2025). Caregiving in the U.S. 2025 — an estimated 63 million U.S. adult family caregivers, including 59 million caring for someone age 18 or older.
• Kelley, M. M., and colleagues (2024). Mobile health apps, family caregivers, and care planning: scoping review. Journal of Medical Internet Research, 26, e46108.
• Zheng, A., Bergh, M., Patel Murali, K., and Sadarangani, T. (2024). Using mHealth to improve communication in adult day services around the needs of people with dementia. JMIR Formative Research.
• Sadarangani, T., and colleagues (2026). CareMobi to improve communication between caregivers and adult day centers for people with dementia: mixed methods feasibility study. JMIR Aging.
• Wei, A., Peralta, L., and Sadarangani, T. R. (2026). Caregivers' early experiences using CareMobi. Western Journal of Nursing Research.
• AARP Livability Index framework, used as indirect community-value context.
• Rush University Medical Center, Center for Excellence in Aging. Caring for Caregivers (C4C) program. https://aging.rush.edu/caringforcaregivers/ (opens in a new tab)
• Pelton, L., Carbonell, E., and Golden, R. (2021). The Rush Caregiver Initiative: A Model for Caregiver Health and Wellness in Age-Friendly Health Systems. Innovation in Aging, 5(Suppl 1), 307. https://doi.org/10.1093/geroni/igab046.1189 (opens in a new tab)
• Golden, R., Mariani, D., Pelton, L., Moro, T., and Carbonell, E. (2022). Facilitating Caregiver Health and Wellness: Age-Friendly Health System Caring for Caregivers (AFHS-C4C). Innovation in Aging, 6(Suppl 1), 138. Conference abstract reporting uncontrolled pre/post findings.
• Center for Health Care Strategies (2022). Rush Caregiver Intervention: Advancing Age-Friendly Health Systems by Prioritizing Family Caregivers. https://www.chcs.org/rush-caregiver-intervention-advancing-age-friendly-health-systems-by-prioritizing-family-caregivers/ (opens in a new tab)
• Institute for Healthcare Improvement and The John A. Hartford Foundation. Age-Friendly Health Systems and the 4Ms framework (What Matters, Medication, Mentation, Mobility). https://www.ihi.org/initiatives/age-friendly-health-systems (opens in a new tab)
• Rush C4C program materials (playbooks for administrators and clinicians, Planning for What Matters manual and workbook, outreach pieces), c.2023–2025. Gray literature, cited for practice description only; archived with provenance and usage notes in docs/content/research-sources/rush-c4c/. Evidence grading: C4C's published record describes its model and reports uncontrolled pre/post improvements in caregiver burden, depression, and anxiety — supportive practice signals, not trial evidence. Note on terms: C4C and the Age-Friendly initiative use "What Matters" as a specific, structured construct; where this paper says "measuring what matters" it means the everyday sense — the things a family tells us are important.
• Local source material: docs/content/community-sense-adult-day-research.md and docs/content/community-sense-functional-feature-guide.md.

Published by genusConnect (genusconnect.org) · genus partner portal: /public/day-centers-inspire · v. August 2026

Applied case: Community Sense and The Helm at the Boll Life Center. Version: Full paper, expanded July 2026. Evidence verified through July 17, 2026; Rush C4C program materials reviewed August 27, 2026.

Primary audiences: nonprofit boards and executives; municipal and philanthropic funders; Area Agencies on Aging; health systems; adult day operators; caregivers; and implementation partners.

Audience and goal: give decision-makers a rigorous, balanced basis for funding high-quality adult day services and for evaluating the incremental value of the staff portal, the Daily Summary, the family Care App, and the closed learning loop — without treating product design as proof of outcomes.

Purpose: Local research and product knowledge note for Day Centers Inspire. This file preserves the evidence framing behind the Research tab and gives staff, leaders, and future content work a stable local source.

Use in app: The Day Centers Inspire Research tab uses a concise staff digest from this note. The full report is available on demand through View full report, with PDF export for staff, leaders, and partners who need the complete context.

The portal, Daily Summary, and Care App evaluated here began as needs surfaced in real conversations — meetings with families, care teams, social workers, and pilot centers; this paper asks whether the evidence backs what those conversations surfaced.

The strongest evidence for local community adult day centers is not that they solve every problem in aging. It is that they reliably do several important things at once:

• Create structured, supervised, socially meaningful daytime support for older adults.
• Give family caregivers protected respite.
• Create repeated opportunities to notice changes in mood, safety, nutrition, function, and caregiver strain.
• Serve as a practical bridge between home, community services, and healthcare.

The clearest and most measurable outcome domain is caregiver relief. The Zarit, Kim, Femia, Almeida, and Klein adult day services study found that, on adult day service days, caregivers reported fewer care-related stressors, more positive experiences, lower anger, and less spillover from non-care stressors into depressive symptoms. That supports the practical claim that adult day centers can reduce caregiver burnout and help families sustain care at home.

CMS has built similar logic into the GUIDE dementia model. GUIDE includes caregiver education and respite, explicitly recognizes adult day center programs as a reimbursable respite option in eligible contexts, and aims to help people with dementia remain at home longer while reducing costly utilization.

Participant-level benefits are meaningful but less causal in the literature. State standards, program models, and practice-based sources describe adult day services as structured group settings that provide meaningful activity, socialization, nutrition, ADL support, supervision, transportation, and caregiver support. Michigan adult day service standards are especially useful because they translate that model into operations: assessment, ADL/IADL and cognitive review, caregiver strain assessment, service plans, reassessment, transportation, activities, nutrition, and caregiver-support referrals.

The evidence for reducing healthcare spending is promising but mixed, and the placement evidence is thinner still — and points the other way. Udeh and Menne's 2025 scoping review found only two studies that directly addressed long-term care placement, and both associated adult day service use with an increased placement likelihood, while emphasizing that the evidence base is too sparse for firm causal conclusions in either direction. Placement and cost-containment claims should therefore never be marketed; they are open questions to measure locally.

Bottom line:

• Moderately to strongly supported: adult day centers reduce caregiver strain and provide meaningful respite.
• Moderately supported: centers improve participant routine, social connection, nutrition support, supervision, and day-to-day safety when delivered with quality.
• Emerging and mixed: utilization and total-cost effects; on placement, the limited direct evidence associates use with increased placement risk — an open question, never a marketed benefit.
• Plausible but indirect: centers strengthen community livability and local care ecosystems.
• Not established: direct claims that adult day centers measurably raise nearby real-estate values.

The scale of the need is national. An estimated 63 million U.S. adults — nearly one in four — were family caregivers in 2025, 59 million of them caring for someone age 18 or older (AARP and the National Alliance for Caregiving, Caregiving in the U.S. 2025). Adult day centers are part of the infrastructure that keeps that unpaid workforce standing.

This paper keeps five causal layers separate, because evidence for one never proves another:

1. The adult day service itself — what happens because a person attends a quality program.
2. The staff portal — what changes because staff use an integrated workflow instead of paper, spreadsheets, and memory.
3. The Daily Summary — what changes because a family receives a reviewed account of the day.
4. The family Care App — what changes because the care circle shares context, tasks, and education digitally.
5. Implementation and local context — whether people actually use the service and tools, with fidelity, equitably, here.

A service-day study cannot prove a digital summary improves retention; a communication theory cannot prove an app reduces burden; a payer rule cannot prove a center will be paid. Each layer earns its own evidence.

Six evidence classes are used throughout:

And every important statement carries a status from the claim ladder:

The claim ladder is not rhetoric: it determines the wording permitted in board papers, grant narratives, family communications, and the software itself. The Local Hypotheses To Test and Claim Registry sections near the end of this paper apply it claim by claim.

The Helm materials describe a people-first adult day center as a safe, structured, social setting designed to help each person feel known, welcomed, and engaged. The center is a community setting for meaningful activities, meals, companionship, supervision, respectful observation, practical support, caregiver respite, and human family updates.

The applied case is now concrete. The Helm's Wilson Day Center is publicly enrolling (verified July 17, 2026, at helmlife.org/wilson-day-center): an adult day program for residents of the Grosse Pointes and Harper Woods age 50 and older living with cognitive decline or dementia, open Monday through Friday from 10 a.m. to 4 p.m. at 648 St. Clair in Grosse Pointe City. The published daily rate is $79 for residents of Grosse Pointe, Grosse Pointe Farms, Grosse Pointe Park, Grosse Pointe Woods, and Harper Woods, and $200 for Grosse Pointe Shores residents — covering six hours of supervised programming, activities, social engagement, lunch, and snacks.

The local funding context is equally concrete. In November 2024, five of the six Grosse Pointe and Harper Woods communities approved a senior-services millage — Grosse Pointe Shores declined — raising roughly $1.2 million a year beginning with the 2025 summer levy, distributed through an Active Adult Commission to The Helm and other providers.

Two disciplines keep this subsection honest. First, public program facts change: fees, hours, and eligibility should be rechecked against the center's current materials before any contract, grant budget, or enrollment notice reuses them. Second, only verified facts appear here — a circulating claim that a majority of the program's cost is absorbed by the millage traces to a municipal record this report could not verify, so it is not used.

The same materials describe a maturing operations architecture. Community Sense links roster context, reservations, attendance, activity capture, daily summary review, closeout, reporting, family-loop support, and staff-reviewed AI. The governance stance should stay clear: AI may help draft or organize language, but staff decide what belongs in the record, what belongs in internal notes, and what is appropriate for family sharing.

The intake form — Adult Day Form4, the twelve-part Comprehensive Intake & Assessment — is unusually rich for a community program. It captures referral reason, home environment, living arrangement, SDOH concerns, caregiver strain questions, emergency and legal contacts, requested service days, ADL and IADL function, cognition and behavior, nursing information, medication support, mood, food safety, fall risk, preferences, communication style, and follow-up items.

Capture is only half the story; the system also puts the intake to work. One field, traced end to end: the communication preferences a family states at intake — tone (relaxed and conversational, warm and supportive, professional and clinical, or brief and strictly factual), preferred method, and update frequency — travel into the participant profile, where they style the staff-reviewed AI draft of the evening family note, so tone, cadence, and length follow what the family asked for. The same intake surfaces again at the family meeting, where staff can select the latest saved intake as an evidence source for AI-assisted meeting preparation. At every step the stance holds: AI drafts, staff decide.

The intake's structured instruments work the same way. Embedded Katz ADL, Lawton IADL, and Hendrich II items auto-score into risk summaries and a derived health-risk assessment with fall-risk levels, so screening effort becomes usable safety context instead of filed paperwork. A built-in SDOH screen produces a structured assessment across housing stability, food security, transportation, social isolation, financial strain, and home safety. Caregiver strain is screened with recorded supports and follow-up actions — the caregiver treated as the "hidden patient," not an afterthought. One boundary governs that screening: caregiver strain responses are caregiver-only by default — excluded from family-facing outputs, including the printed intake packet and family-meeting evidence sources, until a caregiver-only confidentiality lane exists — because honest strain disclosure depends on the caregiver trusting that the person they care for will not read it. Meal-safety and medication-support profiles feed the roster's care cues, filtered so staff see genuine risks rather than noise.

That pipeline is governed. Every intake change is versioned with the actor and the reason for the change; simultaneous edits are detected rather than silently overwritten; and the system can flag drift between the latest intake and the live profile for safety-critical fields like food safety and medication support. AI meeting preparation draws only on staff-selected evidence sources, with private staff notes excluded unless explicitly unlocked.

That means The Helm is not starting from zero. It already has the bones of a strong civic-health infrastructure model. The next step is to standardize measurement, protect accountability, and turn daily operations into evaluable local outcomes.

The best-supported outcome domain is caregiver respite and emotional strain. The adult day services daily-stress literature supports the idea that service days give caregivers a measurable psychological reset, not just time away. This does not prove every center produces the same result, but it is strong support for respite and burnout-reduction claims.

Rush University Medical Center's Caring for Caregivers (C4C) program reinforces the importance of measuring caregiver strain directly. It treats caregiver burden, anxiety, depression, health literacy, social needs, and family support as care-management issues, not informal family complaints. We cite C4C for that measurement practice only — its materials never describe adult day services as the respite intervention (respite in C4C is an external referral), so the respite evidence above rests on the Zarit daily-stress study and GUIDE policy logic, not on the Rush model. Seen in its primary materials (playbooks for administrators and clinicians, a What Matters sessions manual and caregiver workbook, and caregiver-facing outreach pieces; developed with funding from the RRF Foundation for Aging and The John A. Hartford Foundation, in collaboration with IHI), C4C is an Identify–Understand–Assist workflow built around a scripted assessment battery — the Burden Scale for Family Caregivers short form, GAD-2/7 and PHQ-2/9 with skip logic and a suicidality escalation hook, the BRIEF health-literacy screen, an SDOH screen, and a biopsychosocial evaluation — administered at baseline and re-administered at one, three, and six months, with a "declined to answer" option on every item. One honesty note travels with any C4C citation: the program's outcome record is uncontrolled pre/post data — an internal series of 169 care recipients in its playbooks (which Rush itself hedges as non-causal) and published conference abstracts reporting pre/post improvements in burden, depression, and anxiety — with no controlled trial, so C4C supports practice and program-design statements, never outcome claims.

One C4C design premise bounds what our intake can claim. C4C conditions honest strain disclosure on caregiver-only confidentiality — the caregiver gets a separate chart (a design publicly documented in CHCS's brief: the caregiver becomes a patient with their own record), and individual-session content is never shared with the care recipient (per the playbooks), because many caregivers do not want the person they care for to know that care feels burdensome. Our intake does not provide that separation, so we cite the Rush model for the principle of measuring strain, not as a model this intake implements; the caregiver-only boundary described in the intake pipeline above is the standing commitment that follows.

The C4C lineage also gives the intake recognizable framework language. The Age-Friendly 4Ms (What Matters, Medication, Mentation, Mobility — from IHI and The John A. Hartford Foundation) map onto domains Adult Day Form4 already captures: What Matters onto preferences and the profile's What Matters cues, Medication onto nursing and medication-support fields, Mentation onto cognition, behavior, and mood, Mobility onto fall-risk and ADL function. The accurate framing is 4Ms-informed, with attribution — never a designation, affiliation, or "4Ms-based" product claim, since Age-Friendly recognition formally applies to health systems. Population footnote for any side-by-side reading: C4C serves caregivers of adults 60 and older, while Wilson enrolls from age 50, and C4C materials cite 38 million caregivers (Valuing the Invaluable 2023) where this paper cites 63 million (Caregiving in the U.S. 2025) — different survey constructs, quoted with their sources.

Respite also has a workforce dimension. Reliable service days protect the hours many caregivers need to sustain employment alongside caregiving — a claim that should be framed as locally measurable rather than promised: the 30-, 90-, and 180-day caregiver check-ins in this report's measurement standard are the right place to ask whether respite is actually protecting work, rest, and family stability.

The participant-level case is best understood as a convergence of structured routine, person-centered engagement, supervision, nutrition, and observation. Adult day service standards support the program theory: assessment, service planning, attendance documentation, progress notes, therapeutic engagement, dementia communication training, transportation, nutrition, and caregiver support.

This is not the same as a randomized outcome trial. It is a credible service model for why centers can improve day structure, engagement, and safety when they are delivered with quality.

CMS GUIDE treats caregiver respite, community coordination, and home tenure as part of serious dementia-care strategy. That is a strong policy signal.

The published placement literature is more cautious. The best framing is:

• Adult day services are designed to support community living.
• Whether adult day services delay higher-intensity care is unresolved: the two directly relevant studies in Udeh and Menne's 2025 review associated use with increased placement likelihood — plausibly because families who enroll are already nearer a transition.
• Local programs should measure placement, hospitalization, emergency department use, crisis events, and caregiver strain before making strong savings claims.

The platform calls carePhysics the science of engagement, so this report must be precise about what engagement means and how it will be measured. Attendance plus activity participation is not enough: a person can sit in an activity without being meaningfully engaged. The working ladder this standard uses:

The measurement field is moving the same direction. Scher, Anderson, Zagorski, Siamdoust, Finik, and Sadarangani's 2025 e-Delphi consensus study in adult day services reached practitioner and researcher consensus on brief, cognitively accessible person-centered outcome measures across meaning and purpose, social networks and friendship, belonging, and engagement — selected for administrative fit in real centers, not just research settings. The same study is honest about the frontier: panelists could not reach consensus on the Life Engagement Test (52%) or the Engagement in Meaningful Activities Scale (48%), so both were retained for future evaluation — engagement measurement in adult day settings is converging, not finished.

The local minimum dataset for this domain: a short observational engagement rubric; activity-preference fit; positive or negative affect; social interaction; repeated withdrawal; participant choice; and periodic person- or proxy-reported measures of meaning, friendship, and belonging.

The core research question, stated so it can be tested rather than assumed: does knowing the person's history and preferences lead to more meaningful engagement — and does that engagement contribute to better attendance, mood, family confidence, or program fit?

A structured day is also a rhythm of repeated, trained observation — and that deserves its own evidence story, separate from engagement. The disciplined claim: the center creates repeated opportunities to notice, document, and act. Documentation by itself does not prevent hospitalization, decline, or placement, and this report never implies that it does.

The measures that turn "staff notice things" into verifiable quality: falls and near-falls; meal and hydration completion; swallowing and food-safety concerns; medication-support documentation; mobility or transfer changes; mood and behavior changes; incidents per 1,000 attendance days; time from observation to staff review; the percentage of escalations with documented follow-through; and repeated concerns identified before a crisis.

This is the section that matters most to health systems, Area Agencies on Aging, GUIDE partners, Medicaid programs, and families deciding whether the day is safe — because it connects skilled observation to specific follow-through numbers any partner can verify.

The Daily Summary is the workflow's central payoff, and its research logic should be stated as a chain, with each link measured on its own:

Accurate day capture → staff-reviewed summary → family understanding → confidence and reconnection → continuity, and potentially stronger retention.

The attribution boundary comes first. Zarit and colleagues (2014) support the value of the service day itself — caregivers genuinely recover on days their person attends. Patient-centered and narrative communication research (Street et al., 2009; Kreuter et al., 2007; Hinyard and Kreuter, 2007) supports the design of the reviewed note. Whether the note itself adds trust, understanding, reconnection, or sustained engagement is a local question that only the center's own measurement answers.

Direct digital evidence in adult day settings is finally emerging — and it is feasibility-stage, which this report says plainly. In the CareMobi studies, adult day staff rated a two-way family-communication app acceptable and feasible (22 staff; Zheng et al., 2024), a two-center mixed-methods study with 15 family caregivers reported usability and perceived reassurance (Sadarangani et al., 2026), and caregivers' early experiences echoed the coordination value (Wei et al., 2026). At the review level, Kelley and colleagues' 2024 scoping review of caregiver apps for care planning — 34 papers representing 25 studies — found mostly pilot, feasibility, and qualitative designs, and no demonstrated integrated caregiver app for multi-party care planning and coordination. Read together: families and staff want exactly this kind of channel, small studies support its acceptability, and no product — this one included — can yet claim proven communication outcomes. That is why every link in the chain above is measured locally.

Link-by-link measures: update timeliness; match to the family's preferred style and cadence; perceived accuracy; comprehension; usefulness and actionability; trust in the center; peace of mind after the program day; confidence discussing the day with the participant; unanswered questions or repeated clarification calls; care-circle alignment; whether prompts or recommendations were used at home; and family communication satisfaction at the 30-, 90-, and 180-day check-ins.

Retention and referral effects can be tracked from the same record, but they remain exploratory downstream outcomes — not proven effects of the Daily Summary — until a center's own numbers support more.

The Daily Summary is generated inside the portal, but families experience it as its own intervention — so it is evaluated as one. The comparator is not "no adult day service"; it is the same service day with the center's usual communication. Its causal chain has eight links, and each can fail independently:

Accurate source capture → appropriate selection → staff-reviewed synthesis → secure, timely delivery → family comprehension and trust → meaningful reconnection or useful action → family feedback → preparation for the next day.

Difficult days must remain visible. A hard day is described calmly and respectfully: what was observed, what support was provided, what improved or stayed unresolved, and who follows up. Invented causality, diagnostic statements outside scope, and sentiment unsupported by observation are prohibited — a summary that only flatters is a marketing channel, and it forfeits the trust the whole chain depends on.

The permitted claim: the Daily Summary turns verified observations into a concise, staff-reviewed family update; communication science supports the design, and local evaluation determines whether it improves understanding, trust, peace of mind, or continuity.

The Care App is not one treatment; it is a bundle of functions with different mechanisms, users, and risks — and each function carries its own evidence status:

Adoption discipline: a download is not adoption. The model distinguishes invitation, consent, activation, first successful task, active use at 30 days, and sustained use at 90 and 180 days — by function, not total logins. Deliberate non-use is a preference, not noncompliance, and every critical communication keeps a non-digital path, so the app never becomes a hidden eligibility requirement.

The permitted claim: the Care App connects consented members of the care circle through reviewed updates, context, education, and coordination tools. Kelley and colleagues (2024) and the CareMobi feasibility studies suggest families want exactly this kind of channel and find it workable at small scale — and that no product has yet proven sustained adoption, reduced burden, or better outcomes. Those results are generated locally or not at all.

The platform this report accompanies is backed by carePhysics, the science of engagement — and the behavior models underneath it are named, decades old, and heavily studied. The features themselves grew from practice conversations and observed need — pilot centers, caregivers, volunteers, and focus groups; the models explain why those shapes should work. They matter to this report for one precise reason: they explain why the software's features are shaped the way they are. They are design support, not new outcome claims — what a model predicts and what a center achieves are different things, and the second stays measured locally at the 30-, 90-, and 180-day checkpoints.

The honest boundary: these models justify design choices — why a note leads with the moment that mattered, why a lesson ends with one doable step. They do not add a single percentage point to any outcome claim in this report. The evidence tiers above and the local measurement standard below remain the only sources of outcome statements.

A strong adult day center can reasonably be understood as part of a local care ecosystem. CMS GUIDE calls for coordination between interdisciplinary care teams and community-based organizations. Adult day service standards include transportation, service planning, caregiver-support referrals, nutrition, and community linkage.

The AARP Livability Index is a useful framework because it evaluates housing, neighborhood, transportation, environment, health, engagement, and opportunity. It does not measure adult day centers directly. The fair inference is that a day center can support livability by improving engagement, transportation linkage, caregiver support, and service navigation.

Named reporting supports the hub picture: Associated Press coverage in 2024 profiled adult day centers as multicultural hubs for older people of color and documented their respite value amid staffing and funding strain, and Waymouth and colleagues (2023) document the access barriers — fragmented systems, cultural mismatch, cost, awareness barriers, rigid hours, staffing limits, and transportation gaps — that make such hubs matter.

The livability case is plausible and partly supported. The real-estate case is much weaker. Adult day services may improve perceived community value and aging-in-place confidence, but direct property-value effects are not established and should not be overstated.

The community story becomes research when the referral pipeline is measured as a funnel. Recommended operational measures: referrals received by source; referral-to-contact time; referral-to-first-attended-day time; referral completion rate and the reasons referrals do not complete; transportation resolution; closed-loop communication back to the referrer; partner satisfaction and repeat referrals; community services connected and time from identified need to completed service; crisis events; emergency department and hospital events where data are available; discharge reasons; and long-term care placement tracked with sufficient observation time and careful methods.

Every community claim carries one of three labels:

• Directly measured locally — the center's own funnel and follow-through numbers.
• Policy-aligned but not yet locally demonstrated — CMS GUIDE explicitly aims to support people with dementia at home and in their communities, reduce caregiver burden, and test impacts on utilization and spending; those aims are appropriate outcomes to measure, but GUIDE's goals are not proof that any particular center has achieved them.
• Long-term research question — placement, utilization, and total-cost effects, which remain open questions here as everywhere in this report.

The most important design choice for The Helm is to measure a small set of outcomes well.

Recommended measurement layers:

• Intake: participant function, cognition and behavior, nursing and medication information, food and swallowing safety, caregiver strain, SDOH flags, legal/emergency contacts, activity preferences, and communication preferences.
• Daily: attendance, activity participation, meals and hydration, mood and engagement, incidents, observations, and staff-reviewed family-safe summaries.
• 30 days: adjustment, attendance reliability, communication quality, family confidence, and open action items.
• 90 days: caregiver strain, participation fit, incident trends, referral progress, and family sustainability.
• Every 6 months: caregiver-strain reassessment, service goals, function, safety, support needs, and communication preferences.

In this standard, the six-month reassessment is the 180-day checkpoint, repeating every six months thereafter — the same rhythm the 30- and 90-day reviews build toward.

Every data point should answer one of three questions:

1. Does it help staff deliver safer or more person-centered care today?
2. Does it show whether families are becoming more sustainable over time?
3. Does it help external partners or funders understand value?

If the answer is no to all three, the data burden should likely be reduced.

The measurement rhythm only earns trust if its methods are governed. The standard therefore maintains:

• A formal data dictionary with exact numerator and denominator definitions for every reported measure.
• A validated-instrument registry (Katz, Lawton, Hendrich II, caregiver-strain instruments) with source versions and freshness dates.
• Self-report versus proxy-report rules, and separate rules for observational measures.
• Minimum required versus optional measures, so smaller centers can participate honestly.
• Missing-data handling, reassessment and status-change triggers, and stratification requirements.
• Data-quality checks with correction and audit history, plus consent and data-retention rules.
• A claim-to-measure registry: every public claim maps to the measure that supports it, and claims without measures are labeled hypotheses.
• Rules for language: pre/post results are described as associated with the program; causal words are reserved for designs that can carry them.
• A source-freshness rule: national statistics carry their wave and date. As of July 2026 the 2022 NPALS wave remains the latest published adult day services estimates; circulating claims of a newer 2025-wave release could not be verified and are not used in this paper.

Instruments are chosen deliberately, licensed properly, and used inside their validation limits. The working registry:

Self-report comes first wherever the person can understand and express a preference; proxy report is labeled as proxy and never presented as the participant's own experience; and staff observation covers observable domains only — no one infers loneliness or meaning from across the room.

Data sent is not a loop closed. A loop exists only when a signal produces a reviewed decision, an owned action, and feedback to whoever raised it. The platform operationalizes three:

1. Participant and family loop: home context informs the day; observations return as a reviewed summary; the family responds; a named owner acts and confirms closure.
2. Center quality loop: recurring signals reach supervisor review; the team changes a plan, workflow, or training; the effect is remeasured and reported back to staff.
3. Community and funder loop: aggregate access, service, outcome, and equity data go to partners; decisions and resources flow back; actions are tracked to the next report.

Every loop item carries the same fields:

The headline metric is the loop-closure rate: actionable signals closed with documented action and feedback within the service standard, divided by actionable signals due — reported by urgency and by population, because one blended percentage can hide an urgent failure inside routine successes.

The permitted claim: the platform is designed to support closed-loop work. Whether loops close reliably — and whether closure improves participant, caregiver, operational, or partner outcomes — is measured.

The value chain above deliberately centers people outside the organization. The center itself also gains, and the honest version of that case needs no projections: referral credibility with health systems, case managers, and Area Agencies on Aging, because the center can show its work; family-trust retention, because reviewed communication and visible follow-through are why families stay; staff hours returned to care, because a capture-once workflow replaces duplicate documentation and hand-assembled reports — the kind of workplace skilled caregivers choose; audit-ready records for every funded slot; and a steadier funded census as those pieces compound. None of this should be stated as a revenue projection — it is an operational posture that makes every funding conversation easier to have and easier to verify.

Each operator benefit above is a measurable hypothesis, not an established outcome. The operator study tracks: documentation minutes per participant-day; duplicate entry; after-hours documentation; time to prepare a family meeting; time to prepare a funder report; record correction and rework; missed or incomplete documentation; billing lag and denied or rejected units; staff satisfaction with the workflow; family retention and reasons for discharge; referral volume and conversion; time from referral to first attended day; and capacity utilization and waitlist conversion. "Staff hours returned to care," "families who see the day tend to stay," and "credible reporting grows referrals" are strong product hypotheses — they earn stronger language only when these numbers support them.

Each feature family below is named stably so product surfaces can reference this section directly. The value column states what the feature aims to add; the research column names the supporting studies or models; the discipline column keeps the claim honest against the evidence matrix that follows.

The portal is a socio-technical intervention, not a neutral storage tool: it changes what is visible, when information is captured, who owns the next action, and how work moves between shifts, families, and funders. Its near-term case is process reliability, not clinical effectiveness — and the honest comparator is the center's current stack of paper forms, spreadsheets, whiteboards, texts, and memory, not "no system."

The decision rule: scale a workflow only when phased evaluation shows it improves at least two priority process outcomes — timeliness, completeness, retrieval, reconciliation, or loop closure — without materially increasing after-hours work, privacy incidents, or staff burden. A negative effect triggers redesign, field reduction, or withdrawal of that workflow.

A sound design does not implement itself, and the same program can produce different results at different sites. Gitlin and colleagues' 2025 multi-site ADS Plus implementation study found caregiver outcomes were stronger at sites with moderate or high implementation fidelity — at 3 and 12 months, though not at 6 — and that fidelity varied across sites and populations, with lower-fidelity sites reporting more training and implementation difficulty. That is a direct warning against assuming a good design produces the same result everywhere.

The workforce and implementation measures this standard tracks: staff acceptability, appropriateness, and feasibility; adoption by role and shift; training completion and demonstrated competency; fidelity to documentation and review workflows; time to proficiency; use of workarounds; staff burden and after-hours documentation; burnout and intention to stay; volunteer confidence and role clarity; site-level variation; and sustainability after initial onboarding. The practical frame: reach, adoption, fidelity, implementation cost, and maintenance — measured separately from participant and caregiver outcomes, because they answer a different question.

"AI drafts, staff decide" is the governance principle; this section is how it becomes evidence. AI evaluation here distinguishes five layers — draft quality, human-review quality, workflow efficiency, family impact, and safety and fairness — and never lets one stand in for another.

Draft and review measures: factual accuracy against the day's record; source traceability; unsupported statements; important omissions; private-information leakage; audience and consent errors; family-safe language; correction rate; rejection rate; reviewer agreement; and escalation of uncertain or sensitive content. Efficiency is measured as time saved after review — never before review. Fairness is measured as performance by language and communication style and across cognitive, cultural, and demographic groups, with auditability and version history behind every output.

One caution this standard adopts: a high draft-acceptance rate is not by itself a quality signal — it can indicate quality, reviewer fatigue, or overreliance. It is interpreted only alongside correction rates, review time, sampled accuracy audits, and staff confidence. The external structure for this work is the NIST Artificial Intelligence Risk Management Framework (NIST AI 100-1, 2023) and its Generative AI Profile (NIST AI 600-1, 2024), applied across design, deployment, use, and ongoing testing.

Equity is a research area, not a demographics field. The question is whether access, engagement, implementation, and outcomes differ across groups — and what the workflow changes when they do.

Differences to test: referral access; transportation access; wait times; affordability and payer eligibility; attendance reliability; family communication satisfaction; digital access and app adoption; language access; caregiver availability; rural versus urban participation; cultural and faith alignment; staff implementation fidelity; and participant engagement and belonging — each stratified by race, ethnicity, language, disability, geography, payer, and caregiver relationship. Those stratifiers are collected where a center adds them locally: today's intake deliberately carries care context, not demographics, so the stratification plan names what a study collects, not what the record already holds.

The warning that makes this section necessary: implementation evidence can look positive in aggregate while concealing lower adoption or fidelity in particular populations — exactly the pattern the 2025 ADS Plus fidelity findings surfaced, where lower-fidelity sites served different populations than higher-fidelity ones.

For funders, the cleanest case is this: a community adult day center is a modest civic investment that can help older adults remain known, safe, nourished, and socially connected while giving caregivers real respite and creating a practical front door into the local support network.

For municipalities and health systems, the most persuasive message is not "adult day saves money everywhere." It is "adult day can help reduce the progression from manageable family care to crisis-driven escalation, and national dementia policy now values those supports explicitly."

A word to the reader who refers or funds. If you refer, closing the loop back to you is part of the work: referrals made and referrals completed sit in the same KPI set, so what happened after your referral is part of the record you can ask about — a person closes that loop, not an automatic feed. If you fund, the measurement record is built to show plainly what the dollars did — with null results reported beside wins — and your questions can shape what we measure next. On either count, we would welcome the conversation.

The clearest current policy stream is Medicare's GUIDE dementia care model (July 1, 2024 through June 30, 2032, with 330 participating dementia care programs as of July 2025 per the CMS MLN fact sheet). Eligible families — moderate- and high-complexity patients with an unpaid primary caregiver — receive an annual respite allowance ($2,625 in the 2026 performance year) that can pay for adult day center care at the CMS-set base rate of about $104 per adult day (GUIDE Payment Methodology Paper, Exhibit 17) — roughly 25 days a year on the allowance — with rates and caps resetting each July 1. The payment path matters: the allowance is paid through a partnering GUIDE program that contracts with the center — CMS never pays centers directly — and new GUIDE applications are closed, so partnership with an existing program is the only entry path. Participating programs also receive monthly per-patient care-management payments (launch-year base rates, per the GUIDE Request for Applications, ranged from about $150 to $390 per month in a family's first six months and $65 to $220 after; actual payments are geographically and inflation-adjusted).

No single stream sustains a community adult day center; most centers braid several. The table summarizes the main sources and — because payers audit what they fund — the documentation each one expects.

The measurement standard in this report is also the funding case. The recommended KPI set — attendance, respite hours, caregiver strain, referrals, and retention at 30, 90, and 180 days — is precisely the documentation these streams audit. When intake, daily capture, closeout reconciliation, and family communication live in one system, the numbers agree with each other, and a center can validate that dollars received were put to work without hand-built spreadsheets. No projections are needed for that case, and none are made here.

Main limits:

• Adult day centers are not substitutes for medical care.
• Outcomes depend on transportation access, staff quality, programming fit, participant acuity, frequency of attendance, family engagement, and follow-through.
• Placement and utilization evidence remains limited or mixed.
• Community-livability claims are sensible but indirect.
• Real-estate claims should not be made as proven outcomes.

Recommended next steps:

1. Standardize the baseline package: caregiver strain, SDOH, function, cognition, safety, nutrition, and communication preferences.
2. Build a small KPI set: attendance, participation, meals/hydration flags, incidents, caregiver strain, family communication satisfaction, referrals made, referrals completed, and retention at 30, 90, and 180 days.
3. Formalize the review loop: staff review for family-facing summaries and AI-assisted drafts, with correction-rate and feedback audits.
4. Create a partner pathway: primary care, neurology, social work, transportation providers, dementia care programs, and GUIDE-participating organizations where relevant.
5. Run a one-year local outcomes study: compare baseline and follow-up caregiver strain, attendance stability, incident trends, referral completion, caregiver confidence, and discharge reasons.
6. Pay it forward: share instrument choices, definitions, and locally measured results openly with other centers, Area Agencies on Aging, foundations, and agencies — so every center's learning compounds.

Funding pathways make the service possible; economic evaluation shows what value was delivered and to whom. The two questions are kept separate on purpose, and the economic question is examined from four perspectives:

• Family: daily or monthly out-of-pocket cost; protected work hours; reduced missed work; the ability to rest or attend appointments; willingness and ability to pay; and the value families attribute to communication, transportation, meals, and respite.
• Center: cost per participant-day; fixed versus variable cost; staffing cost by acuity; transportation and meal costs; documentation cost; the cost of caregiver-support services; revenue and contribution by payer type; and capacity and break-even utilization.
• Payer: cost per covered day; authorization utilization; documentation completeness; potential changes in healthcare use; time to nursing-home placement, handled with the caution this report's placement section requires; and the cost of unresolved caregiver strain.
• Community: caregiver time; employment continuity; volunteer contribution; transportation linkage; and avoided or delayed crisis escalation — claimed only when locally measured.

The methodological model is Pizzi and colleagues' 2025 ADS Plus payment analysis, which separately measured program-delivery cost (about $433 per caregiver over twelve months, versus $23 for usual care), payer-perspective costs, societal costs, and families' willingness and ability to pay. It observed potential savings, but the savings estimates were not statistically significant — exactly the evidence discipline this section models: report the costs precisely, report the value honestly, and never promote a non-significant saving into a promise.

No planned feature makes outcome claims before it ships — and each earns stronger claims in stages. Every roadmap item carries a research card:

Two worked examples. An IoT home signal is first evaluated for reliability, false-alarm rate, consent understanding, alert burden, and staff response — not for delayed institutional placement. A family coach is first evaluated for appropriateness, safety, comprehension, cultural fit, and escalation behavior — not for caregiver-outcome improvement.

The evaluation program answers questions in order of increasing difficulty — implementation before effectiveness, proximal before distal — through seven studies:

Progression rule: distal claims — utilization, placement, savings — are attempted only after data quality is stable, fidelity is acceptable, no unresolved safety or privacy signal exists, staff workload is sustainable, and the relevant proximal mechanism has already shown benefit. Null, adverse, or burdensome findings carry the authority to stop, narrow, or redesign a feature; that authority is the difference between evaluation and decoration.

These product statements are intended value and local hypotheses — tracked here so no surface promotes them into established outcomes before a center's own numbers do:

A credible paper argues the skeptic's side properly. The standing risk register:

The strongest skeptical conclusion is also this paper's own: adult day centers can be deeply valuable without proving they prevent every crisis, and software can be strategically useful without proving it improves health. The case gets stronger — not weaker — when claims match evidence, burdens stay visible, and negative findings are allowed to change the program.

The claim ladder applied to the phrases this product and its partners are most tempted to use. This registry governs wording everywhere — board papers, grants, family materials, and the software's own pages — and works alongside the Local Hypotheses table above.

A claim without a measure is a hypothesis; a hypothesis marketed as a result is a debt this paper refuses to take on.

• AARP. AARP Livability Index. https://livabilityindex.aarp.org/ (opens in a new tab)
• AARP and National Alliance for Caregiving. Caregiving in the U.S. 2025. Released July 24, 2025. An estimated 63 million U.S. adult family caregivers — nearly one in four adults — including 59 million caring for someone age 18 or older.
• Congressional Research Service. Older Americans Act: Overview and Funding (R43414, updated May 6, 2024). Source for FY2024 Title III-B/III-E appropriations and the OAA non-federal match rates. https://www.congress.gov/crs_external_products/R/PDF/R43414/R43414.37.pdf (opens in a new tab)
• Administration for Community Living. Budget and operating plans (FY2025-FY2026 Title III figures). https://acl.gov/about-acl/budget (opens in a new tab)
• Older Americans Act Sec. 315, 42 U.S.C. 3030c-2 (consumer contributions: voluntary, noncoercive; means testing prohibited; no denial of service for failure to contribute). https://uscode.house.gov/view.xhtml?req=granuleid:USC-prelim-title42-section3030c-2&num=0&edition=prelim (opens in a new tab)
• Administration for Community Living. Lifespan Respite Care Program (grants to states for respite systems). https://acl.gov/programs/support-caregivers/lifespan-respite-care-program (opens in a new tab)
• Shastri, D., and Bargfeld, L. (Associated Press). Adult day centers offer multicultural hubs for older people of color. October 17, 2024. Use as practice context, not causal evidence.
• Moore, M. (Associated Press). Adult day services provide stimulation for older Americans, and respite for full-time caregivers. May 23, 2024. Use as practice context, not causal evidence.
• Waymouth, M., Siconolfi, D., Friedman, E. M., Saliba, D., Ahluwalia, S. C., and Shih, R. A. Barriers and facilitators to home- and community-based services access for persons with dementia and their caregivers. The Journals of Gerontology: Series B, 78(6), 2023. https://doi.org/10.1093/geronb/gbad039 (opens in a new tab)
• Bandura, A. Social foundations of thought and action: A social cognitive theory. Prentice-Hall, 1986.
• Branch, R. M. Instructional design: The ADDIE approach. Springer, 2009. https://doi.org/10.1007/978-0-387-09506-6 (opens in a new tab)
• CareScout. Cost of Care Survey 2025 (results published March 2, 2026). Median adult day service rates. https://www.carescout.com/cost-of-care (opens in a new tab)
• Cohen, S., and Wills, T. A. Stress, social support, and the buffering hypothesis. Psychological Bulletin, 1985. https://doi.org/10.1037/0033-2909.98.2.310 (opens in a new tab)
• Center for Health Care Strategies. Rush Caregiver Intervention: Advancing Age-Friendly Health Systems by Prioritizing Family Caregivers (blog brief, January 2022). https://www.chcs.org/rush-caregiver-intervention-advancing-age-friendly-health-systems-by-prioritizing-family-caregivers/ (opens in a new tab) Secondary practice brief — publicly documents the separate caregiver record; the primary practice source is the C4C program materials below.
• Rush University Medical Center. Caring for Caregivers (C4C) program materials: Playbook for Administrators v1; Playbook for Clinicians v5; Playbook — Meeting the Needs of Caregivers in Diverse Populations; Planning for What Matters Sessions Manual v2 and Caregiver Workbook v2; 4Ms brochure and program flyer. Developed with funding from the RRF Foundation for Aging and The John A. Hartford Foundation, in collaboration with the Institute for Healthcare Improvement. Unpublished program materials, c.2023-2025; cited as gray literature, not peer-reviewed evidence. Archived with provenance and usage notes in docs/content/research-sources/rush-c4c/.
• Rush University Medical Center, Center for Excellence in Aging. Caring for Caregivers (C4C) public program page. https://aging.rush.edu/caringforcaregivers/ (opens in a new tab)
• Pelton, L., Carbonell, E., and Golden, R. The Rush Caregiver Initiative: A Model for Caregiver Health and Wellness in Age-Friendly Health Systems. Innovation in Aging, 5(Suppl 1), 2021. https://doi.org/10.1093/geroni/igab046.1189 (opens in a new tab)
• Golden, R., Mariani, D., Pelton, L., Moro, T., and Carbonell, E. Facilitating Caregiver Health and Wellness: Age-Friendly Health System Caring for Caregivers (AFHS-C4C). Innovation in Aging, 6(Suppl 1), 2022. Conference abstract reporting uncontrolled pre/post findings.
• Institute for Healthcare Improvement and The John A. Hartford Foundation. Age-Friendly Health Systems and the 4Ms framework (What Matters, Medication, Mentation, Mobility). https://www.ihi.org/initiatives/age-friendly-health-systems (opens in a new tab) Framework attribution source; 4Ms-informed framing only, never designation claims.
• Screening instruments referenced via C4C are cited to their primary authors, never to the playbooks: Kroenke, K., Spitzer, R. L., and Williams, J. B. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 2001. https://doi.org/10.1046/j.1525-1497.2001.016009606.x (opens in a new tab) — The Patient Health Questionnaire-2. Medical Care, 41(11), 2003. https://doi.org/10.1097/01.MLR.0000093487.78664.3C (opens in a new tab) — Spitzer, R. L., Kroenke, K., Williams, J. B. W., and Löwe, B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine, 166(10), 2006. https://doi.org/10.1001/archinte.166.10.1092 (opens in a new tab) — Kroenke, K., et al. Anxiety disorders in primary care (GAD-2 source). Annals of Internal Medicine, 146(5), 2007. https://doi.org/10.7326/0003-4819-146-5-200703060-00004 (opens in a new tab) — Graessel, E., Berth, H., Lichte, T., and Grau, H. Subjective caregiver burden: validity of the 10-item short version of the Burden Scale for Family Caregivers (BSFC-s). BMC Geriatrics, 14:23, 2014. https://doi.org/10.1186/1471-2318-14-23 (opens in a new tab) — Haun, J., et al. Testing the BRIEF health literacy screening tool. Federal Practitioner, 26(12), 2009 (no DOI; trade journal).
• Lendon, J. P., Singh, P., and Lu, Z. Adult Day Services Center Participant Characteristics: United States, 2022. NCHS Data Brief No. 502, July 2024 (from the 2022 NPALS wave; source of the 79% paid-by-Medicaid figure, Figure 2). https://www.cdc.gov/nchs/products/databriefs/db502.htm (opens in a new tab)
• Lendon, J. P., Singh, P., Caffrey, C., Sengupta, M., and Lu, Z. Operating status of adult day services centers in 2022. NCHS Health E-Stat 103, March 2025. The newest CDC product; presents 2022-wave NPALS data.
• Centers for Medicare & Medicaid Services. GUIDE Model. https://www.cms.gov/priorities/innovation/innovation-models/guide (opens in a new tab)
• Centers for Medicare & Medicaid Services. GUIDE Payment Methodology Paper, Including Overview of Patient Alignment, Version 3.0 (effective June 1, 2026) — respite allowance and PY2026 respite G-code base rates (Section 5, Exhibit 17). https://www.cms.gov/priorities/innovation/files/guide-payment-methodology-paper.pdf (opens in a new tab)
• Centers for Medicare & Medicaid Services, Medicare Learning Network. Guiding an Improved Dementia Experience (GUIDE) Model fact sheet, MLN7172818 (July 2025 edition; participation counts). https://www.cms.gov/files/document/mln7172818-guiding-improved-dementia-experience-model.pdf (opens in a new tab)
• Centers for Medicare & Medicaid Services. GUIDE Model Request for Applications — launch-year care-management base-rate table. https://www.cms.gov/files/document/guide-rfa.pdf (opens in a new tab)
• Damschroder, L. J., Reardon, C. M., Widerquist, M. A. O., and Lowery, J. The updated Consolidated Framework for Implementation Research based on user feedback. Implementation Science, 2022. https://doi.org/10.1186/s13012-022-01245-0 (opens in a new tab)
• Glasgow, R. E., Vogt, T. M., and Boles, S. M. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. American Journal of Public Health, 89(9), 1999. https://doi.org/10.2105/AJPH.89.9.1322 (opens in a new tab)
• Gitlin, L. N., Roth, D. L., Marx, K., Parker, L. J., Koeuth, S., Dabelko-Schoeny, H., Anderson, K., and Gaugler, J. E. Embedding caregiver support within adult day services: Outcomes of a multisite trial. The Gerontologist, 64(4), 2024. https://doi.org/10.1093/geront/gnad107 (opens in a new tab)
• Gitlin, L. N., and colleagues. Fidelity matters: implementing ADS Plus, an evidence-based program, in multiple adult day service sites. Innovation in Aging, 9(8), 2025. https://doi.org/10.1093/geroni/igaf074 (opens in a new tab)
• National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1, 2023. https://doi.org/10.6028/NIST.AI.100-1 (opens in a new tab)
• National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1, 2024. https://doi.org/10.6028/NIST.AI.600-1 (opens in a new tab)
• Pizzi, L. T., and colleagues. Toward a payment model for augmenting adult day services with caregiver support: costs, willingness, and ability to pay for the ADS Plus program. Innovation in Aging, 9(9), 2025. https://doi.org/10.1093/geroni/igaf089 (opens in a new tab)
• Graf, C. The Lawton Instrumental Activities of Daily Living Scale. AJN, American Journal of Nursing, 108(4), 2008. https://doi.org/10.1097/01.naj.0000314810.46029.74 (opens in a new tab) Use as IADL assessment context.
• Lawton, M. P., and Brody, E. M. Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist, 9(3), 1969. https://doi.org/10.1093/geront/9.3_Part_1.179 (opens in a new tab) Primary instrument source.
• Hinyard, L. J., and Kreuter, M. W. Using narrative communication as a tool for health behavior change. Health Education & Behavior, 2007. https://doi.org/10.1177/1090198106291963 (opens in a new tab)
• Keller, J. M. Development and use of the ARCS model of motivational design. Journal of Instructional Development, 1987. https://doi.org/10.1007/BF02905780 (opens in a new tab)
• Kelley, M. M., Powell, T., Camara, D., Shah, N., Norton, J. M., Deitelzweig, C., Vaidy, N., Hsiao, C. J., Wang, J., and Bierman, A. S. Mobile health apps, family caregivers, and care planning: scoping review. Journal of Medical Internet Research, 26, e46108, 2024. https://doi.org/10.2196/46108 (opens in a new tab)
• Kotler, P., and Zaltman, G. Social marketing: An approach to planned social change. Journal of Marketing, 1971. https://doi.org/10.1177/002224297103500302 (opens in a new tab)
• Kreuter, M. W., and colleagues. Narrative communication in cancer prevention and control. Annals of Behavioral Medicine, 2007. https://doi.org/10.1007/BF02879904 (opens in a new tab)
• Greenhalgh, J., Gooding, K., Gibbons, E., Dalkin, S., Wright, J., Valderas, J., and Black, N. How do patient reported outcome measures (PROMs) support clinician-patient communication and patient care? A realist synthesis. Journal of Patient-Reported Outcomes, 2, 2018. https://doi.org/10.1186/s41687-018-0061-6 (opens in a new tab)
• Liu, J. B., Kaplan, R. S., Bates, D. W., Edelen, M. O., Sisodia, R. C., and Pusic, A. L. Mass General Brigham's patient-reported outcomes measurement system. NEJM Catalyst, 2024. https://doi.org/10.1056/CAT.23.0397 (opens in a new tab) Program-scale PROMs implementation reporting; replaces the earlier MGB newsroom article, which no longer resolves.
• Michigan Department of Health and Human Services, ACLS Bureau (formerly Office of Services to the Aging). Operating Standards for Service Programs — Section C-1, Adult Day Services (updated October 2024; distributed to providers via Area Agencies on Aging). Adopted operating-standard source. Agency page: https://www.michigan.gov/mdhhs/adult-child-serv/adults-and-seniors/acls (opens in a new tab)
• Michigan Department of Health and Human Services. Adult Day Services Service Standard (Draft), posted on michigan.gov. Draft assessment-context source; the adopted C-1 standard above governs.
• Prochaska, J. O., and Velicer, W. F. The transtheoretical model of health behavior change. American Journal of Health Promotion, 1997. https://doi.org/10.4278/0890-1171-12.1.38 (opens in a new tab)
• Proctor, E., Silmere, H., Raghavan, R., Hovmand, P., Aarons, G., Bunger, A., Griffey, R., and Hensley, M. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health and Mental Health Services Research, 2011. https://doi.org/10.1007/s10488-010-0319-7 (opens in a new tab)
• Rosenstock, I. M. Historical origins of the Health Belief Model. Health Education Monographs, 1974. https://doi.org/10.1177/109019817400200403 (opens in a new tab)
• Ryan, R. M., and Deci, E. L. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 2000. https://doi.org/10.1037/0003-066X.55.1.68 (opens in a new tab)
• Sadarangani, T., and colleagues. CareMobi to improve communication between caregivers and adult day centers for people with dementia: mixed methods feasibility study. JMIR Aging, 9, e85090, 2026. https://doi.org/10.2196/85090 (opens in a new tab) Two centers and fifteen family caregivers; feasibility evidence only.
• Scher, C. J., Anderson, K., Zagorski, W., Siamdoust, S., Finik, J., and Sadarangani, T. Identifying person-centered outcome measures for use in adult day services: An e-Delphi consensus study. Sage Open Aging, 2025. https://doi.org/10.1177/30495334251408570 (opens in a new tab)
• Street, R. L., Jr., Makoul, G., Arora, N. K., and Epstein, R. M. How does communication heal? Pathways linking clinician-patient communication to health outcomes. Patient Education and Counseling, 2009. https://doi.org/10.1016/j.pec.2008.11.015 (opens in a new tab)
• The Helm. Adult day program heart / Community Sense workbench. Local concept and operations source.
• The Helm. Adult Day Form4 — Comprehensive Intake & Assessment. Twelve-part local assessment covering demographics, home environment, SDOH, caregiver wellbeing, emergency and legal contacts, ADL and IADL function, cognition, nursing, fall risk, activity preferences, communication preferences, and staff notes.
• The Helm. Wilson Day Center program page. https://helmlife.org/wilson-day-center/ (opens in a new tab) Accessed July 17, 2026; public program facts should be rechecked before reuse in contracts or budgets.
• Udeh, K. C., and Menne, H. L. Impact of adult day service on long-term care placement: A scoping review. Dementia, 2025. https://doi.org/10.1177/14713012251334676 (opens in a new tab)
• WDET. Five communities approve new senior services millage. November 13, 2024. https://wdet.org/2024/11/13/five-communities-approve-new-senior-services-millage/ (opens in a new tab)
• Grosse Pointe News. Senior services millage passes in all but Shores. November 7, 2024. Vote breakdown by community.
• Wisconsin Statutes sec. 46.87 (Alzheimer's Family and Caregiver Support Program; benefit cap at 46.87(6)(b)1.). https://docs.legis.wisconsin.gov/statutes/statutes/46/87 (opens in a new tab) Program page: Wisconsin DHS, https://www.dhs.wisconsin.gov/aging/alzfcgsp.htm (opens in a new tab)
• U.S. Department of Veterans Affairs, Geriatrics and Extended Care. Adult Day Health Care. https://www.va.gov/geriatrics/pages/Adult_Day_Health_Care.asp (opens in a new tab) Accessed 2026-08-27.
• U.S. Department of Veterans Affairs, Geriatrics and Extended Care. Veteran-Directed Care (participant-directed budgets). https://www.va.gov/geriatrics/pages/Veteran-Directed_Care.asp (opens in a new tab) Accessed 2026-08-27.
• Leng, M., Zhao, Y., Xiao, H., Li, C., and Wang, Z. Internet-based supportive interventions for family caregivers of people with dementia: systematic review and meta-analysis. Journal of Medical Internet Research, 22(9), 2020. https://doi.org/10.2196/19468 (opens in a new tab) Basis for the mixed-across-outcomes digital-caregiver evidence characterization.
• Weiner, B. J., Lewis, C. C., Stanick, C., Powell, B. J., Dorsey, C. N., Clary, A. S., Boynton, M. H., and Halko, H. Psychometric assessment of three newly developed implementation outcome measures. Implementation Science, 2017. https://doi.org/10.1186/s13012-017-0635-3 (opens in a new tab)
• Wei, A., Peralta, L., and Sadarangani, T. R. Caregivers' early experiences using CareMobi: an mHealth application to support care coordination. Western Journal of Nursing Research, 2026. https://doi.org/10.1177/01939459261442459 (opens in a new tab)
• Zarit, S. H., Kim, K., Femia, E. E., Almeida, D. M., and Klein, L. C. The effects of adult day services on family caregivers' daily stress, affect, and health. The Gerontologist, 2014. https://doi.org/10.1093/geront/gnt045 (opens in a new tab)
• Zheng, A., Bergh, M., Patel Murali, K., and Sadarangani, T. Using mHealth to improve communication in adult day services around the needs of people with dementia: mixed methods assessment of acceptability and feasibility. JMIR Formative Research, 2024. https://doi.org/10.2196/49492 (opens in a new tab)