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Executive research dashboard
The New Architecture of Aging in America
How greater capacity, assistive adaptation, community residence, and digital participation coexist with rising household difficulty and care gaps.
- NHATS 2011 to 2023
- Ages 72 and older
- 17 sections
- 5 interactive models
- Kelly Emrick, DHSc, PhD, MBA, BSRT(ARRT)R
Researcher brief
The operating model of aging has moved into the home
Older Americans are demonstrating greater capacity, greater use of assistive technology, and far more digital participation. Nevertheless, independence increasingly depends on an underbuilt infrastructure of caregivers, accessible homes, technology, transportation, and coordinated clinical support.
Central thesis
The pattern is best interpreted as a redistribution of dependency, not its disappearance.
Capacity gains are real. Their value depends entirely on the infrastructure that converts capacity into a safe daily life: caregivers, accessible homes, usable technology, transportation, and coordinated clinical support.
Endpoint change across major indicators
Percentage-point difference from baseline to latest available year
Asterisked measures use baseline or latest years other than 2011 and 2023.
Figure 1. Endpoint change across major indicators. The largest gains were digital; the largest deterioration was in perceived end-of-life care. Percentage-point changes should not be compared as if all measures had identical denominators, time periods, or clinical importance.

The published report

Recommended citation. Emrick, K. (2026). The new architecture of aging in America: How greater capacity, assistive adaptation, community residence, and digital participation coexist with rising household difficulty and care gaps. Executive research.
Controlling source. Freedman and Cornman’s 2026 NHATS Trends Chart Book is the controlling quantitative source. Peer-reviewed literature is used to interpret, challenge, and extend the findings, not to replace the chart book’s researched estimates.
What is author-developed. The Adaptive Aging Infrastructure Framework, the governance scorecard, the support coverage ratio, the demand translator, and the readiness diagnostic in this dashboard are interpretive tools. They have not been psychometrically validated and require local specification before use.
What this dashboard adds to the report
Live series
Six of the report’s line figures print only their endpoints. Every intermediate year in this dashboard was traced from the published figures and calibrated so that each traced endpoint reproduces the printed value.
Five models
Support coverage, population demand, digital exclusion, framework readiness, and a scorecard builder. Each is anchored to published values rather than to invented benchmarks.
A verification ledger
Every relative change claimed in the report is recomputed from the published endpoints and shown alongside the claim, including the two places where the source disagrees with itself.
Researcher brief
Eight leadership conclusions
Interpretive synthesis based on NHATS estimates. These conclusions are not causal findings.
Conclusion 1
Independence is increasingly adaptive rather than absolute.
The decline in being fully able coexists with greater successful device use. A binary independent or dependent model obscures how older adults maintain function.
Conclusion 2
The household-activity support gap is the clearest warning signal.
Difficulty rose 5.1 percentage points, assistance fell 4.9 points, and unmet need rose 1.4 points. These movements are directionally coherent and operationally consequential.
Conclusion 3
Community residence is now the dominant care platform.
Declining nursing-home residence does not eliminate dependency. It relocates dependency into private homes, senior housing, outpatient settings, and informal networks.
Conclusion 4
Home modification is becoming ordinary infrastructure.
Bathing modifications reached 74.4% and toileting modifications 50.5% in 2023. Mobility modifications, however, remained near 13%, suggesting uneven adaptation across task domains.
Conclusion 5
Digital access has become a determinant of practical independence.
Email or texting reached 73.0%, and online health activity reached 39.1%, but steep gradients by age, education, race and ethnicity, disability, dementia, and geography remain.
Conclusion 6
Rural improvement is real, but rural care gaps intensified.
Non-metropolitan adults gained digital participation and home modifications, yet unmet needs rose for both self-care and mobility and for household activities.
Conclusion 7
Hospice uptake and end-of-life quality must be governed separately.
Hospice use increased, but the share rated as receiving excellent or very good care fell to 67.4% in 2022. Program penetration is not equivalent to experience quality.
Conclusion 8
The next strategy must measure fit, not isolated prevalence.
Leaders need a linked view of capacity, accommodation, environment, care-network sufficiency, digital access, and valued participation.
Strategic consequence
Plan for a larger absolute population requiring support, even if several age-specific prevalence measures continue to improve.
Capacity planning must combine rates, population counts, severity, care-network availability, and geographic access. The Demand model section makes this arithmetic explicit.
Methods
Data source, measures, and analytic approach
NHATS is an annual, nationally representative study of Medicare beneficiaries ages 65 and older. It began in 2011 and periodically refreshes its sample to support national trend estimation. The chart book restricts each annual round to adults aged 72 and older to ensure population comparability across years.
The annual analytic samples, excluding nursing-home residents, ranged from 3,303 to 6,320 respondents. The corresponding samples, including nursing-home residents, ranged from 3,384 to 6,552. Weighted cross-tabulations account for the complex survey design.
Population boundary. Most estimates exclude nursing-home residents. That design choice is appropriate for measures requiring direct interview or environmental observation, but it changes what a trend statement means. A decline in community-dwelling disability cannot, by itself, describe the full older population.
Table 1. Key measure families and interpretive questions
| Domain | Examples | Interpretive question |
|---|---|---|
| Capacity | Physical performance, self-reported ability, dementia, vision, and hearing | What can the person do under standardized or researched conditions? |
| Activity performance | Self-care, mobility, and household activities | How are essential daily tasks actually completed? |
| Accommodation | Assistive devices and home modifications | Is independence supported by technology or environmental change? |
| Care sufficiency | Assistance and adverse consequences of unmet need | Does available help match task-specific needs? |
| Participation | Participation in valued activities and restrictions | Can the person live in accordance with personally valued roles? |
| Environment | Housing type and residential setting | Where is care work occurring, and how accessible is the setting? |
| Digital participation | Communication, household transactions, social networking, and health activity | Can the person use systems that increasingly mediate daily life and care? |
| End of life | Location of death, hospice, proxy-rated care | Does service use translate into a high-quality final phase of life? |
Source: NHATS measure definitions (Freedman and Cornman, 2026) and author synthesis.
Table 2. Evidence hierarchy used in this research
| Level | Evidence | Use |
|---|---|---|
| Level 1 | Published NHATS weighted estimates and detailed table trend tests | Controls all numerical claims about 2011 to 2023 trends |
| Level 2 | Peer-reviewed NHATS analyses and systematic or scoping reviews | Supports interpretation, plausibility, and policy relevance |
| Level 3 | The author’s calculations from published endpoints | Percentage-point and relative changes with no survey re-estimation |
| Level 4 | Author-developed framework and scorecard | Strategic translation requiring local validation |
The hierarchy prevents the proposed strategy from being mistaken for a published causal finding.
Quality control
Verification ledger
Every relative change asserted in the report was recomputed from the published endpoints. The ledger is shown rather than silently corrected, so a reader can see which figures are reproducible and which involve a judgement.
| Claim in the report | Endpoints | Claimed | Recomputed | Status |
|---|---|---|---|---|
| Household difficulty relative increase | 12.9 to 18.0 | +39.5% | +39.53% | Reproduces |
| Household assistance relative reduction | 30.3 to 25.4 | -16.2% | -16.17% | Reproduces |
| Household unmet need relative increase | 6.8 to 8.2 | +20.6% | +20.59% | Reproduces |
| Dementia relative decline | 11.9 to 8.1 | -31.9% | -31.93% | Reproduces |
| Email or texting relative increase | 29.5 to 73.0 | +147.5% | +147.46% | Reproduces |
| Nursing-home residence relative decline | 4.4 to 2.2 | -50% | -50.00% | Reproduces |
| Online health activity “more than tripled” | 12.7 to 39.1 | >3x | 3.08x | Reproduces |
| Non-metropolitan household unmet need “more than doubled” | 4.7 to 10.1 | >2x | 2.15x | Reproduces |
| Household unmet need in 2023 | 7.9 or 8.2 | 8.2 | 8.2 | Source disagrees with itself; detailed table used |
| Figure 2 category columns sum to 100 | 2011 column | 100.0 | 100.1 | Rounding in the published estimates |
| Participation trend significance | 92.2 to 92.5 | p < .001 | +0.3 pp | Significance reflects the 2020 shock, not the endpoint change |
Data reconciliation, carried from the report. The chart book narrative states that household unmet need increased to 7.9% in 2023. The accompanying figure and Detailed Table 4 both report 8.2%, with p = .025. This dashboard uses 8.2% throughout because the detailed table is the more specific source of record.
How the interactive series were produced
Six figures in the report are line charts that print only their endpoint labels. Rather than approximate the intervening years, each series was traced from the published image: gridlines were located by colour, the value scale was calibrated from those gridlines, and each series was then read column by column at the year positions.
The trace was validated against the printed labels. Every traced endpoint reproduces its published value, including all five 2022 dementia labels (24.3, 15.4, 8.9, 5.3 and 4.6), all five 2023 digital labels (84.6, 80.6, 68.2, 52.7 and 34.1), and the end-of-life series at 82.8, 83.1 and 67.4. Endpoint values in the dashboard are the published figures. Intervening years are traced and should be read as close reconstructions rather than as published estimates.
Analytic procedure in the report: extract all summary time series and detailed table totals; calculate percentage-point change as latest minus baseline and relative change as that difference divided by baseline; treat p-values as evidence about the source’s linear trend test rather than as proof of operational importance; inspect discontinuities, plateaus, and reversals that a single linear statistic could obscure; compare subgroup patterns; and separate published estimates from author interpretation.
Empirical findings
Function is increasingly maintained through adaptation
The share fully able to perform all seven self-care and mobility activities without help, difficulty, or device use declined by 5.1 percentage points, from 26.6% in 2011 to 21.5% in 2023. Over the same period, successful accommodation with devices increased by 6.2 points, from 30.8% to 37.0%.
The result is not straightforward functional deterioration. A growing share of older adults moved from unassisted full ability to successful device-supported performance while avoiding researched difficulty or the need for personal assistance. This is precisely the type of adaptation that conventional disability counts can miss.
How self-care and mobility are being carried out
Share of adults ages 72 and older, excluding nursing-home residents. Categories are hierarchical and sum to approximately 100% within a year.
Figure 2. Self-care and mobility composition, 2011 and 2023. The distribution shifted toward successful accommodation with devices and away from full ability.

Absolute size of each category shift
Percentage-point movement between 2011 and 2023, shown as magnitude.
The two largest movements run in opposite directions and are close in size: full ability fell 5.1 points while device accommodation rose 6.2 points. Difficulty and assistance barely moved.
Operational reading
The goal should be effective accommodation, not device possession.
Su and Mejia (2024) found that the degree to which assistive technology accommodates limitations is consequential for later-life well-being. A device that is ordered, unfitted, untrained, or abandoned does not appear in this distribution as a success.
Where the adaptation did not reach
Age and subgroup patterns temper the positive interpretation. Successful accommodation increased for adults ages 72 to 84, but not for those ages 85 and older. Men and women improved, as did non-Hispanic White and Black adults, but the trend was not significant for Hispanic or other race and ethnicity groups. White adults experienced a decline in assistance, while other groups did not. Technology diffusion was substantial but not universal.
Empirical findings
Household activities: the support-gap signal
The household-activity series provides the report’s strongest evidence of a support mismatch. Difficulty increased from 12.9% to 18.0%. Receipt of assistance declined from 30.3% to 25.4%. Household unmet need rose from 6.8% to 8.2%.
The coherence of these movements matters. Rising difficulty alone might reflect changes in expectations or research methods. Declining assistance alone might reflect improved capacity. Rising difficulty, declining assistance, and increasing adverse consequences together support a more concerning interpretation: some household needs are being absorbed by the older person, delayed, performed with difficulty, shifted to technology, or left unmet.
Household difficulty rose while assistance declined
Percent of adults ages 72 and older, 2011 to 2023, excluding nursing-home residents.
Figure 3. Household-activity difficulty, assistance, and unmet need. The opposing trajectories of difficulty and assistance form the central support-gap signal. The 2023 unmet-need value is 8.2% in Detailed Table 4.

Table 3. The household support gap in endpoint terms
| Measure | 2011 | 2023 | Point change | Relative change |
|---|---|---|---|---|
| Household difficulty | 12.9% | 18.0% | +5.1 pp | +39.5% |
| Receives household assistance | 30.3% | 25.4% | -4.9 pp | -16.2% |
| Household unmet need | 6.8% | 8.2% | +1.4 pp | +20.6% |
| Fully able | 56.8% | 56.6% | -0.2 pp | -0.4% |
Source: Freedman and Cornman (2026). The relative change is the author’s calculation and does not indicate a causal effect.
Derived indicator
The size of the group needing support did not change. Its coverage did.
The household measure is a three-category hierarchy: fully able, has difficulty, or receives assistance. Those three shares sum to 100 in both years. That arithmetic carries a finding the endpoint table does not state directly.
In 2011 the group that was not fully able totalled 43.2% of the population. In 2023 it totalled 43.4%. The population needing household support was essentially unchanged. What changed was the share of that group receiving help, which fell from 70.1% to 58.5%.
Support coverage ratio within the group that is not fully able
Assistance and unmet need expressed as a share of the difficulty-plus-assistance group. Author-derived from published values.
Coverage falls by 11.6 points across the period. The unmet-consequence share of the same group rises from 15.7% to 18.9%. Both series are calculated from the published estimates and are not themselves published figures.
Model 1 of 5
Support coverage calculator
Enter local household-activity rates to see how much of the support-needing population is actually covered. Defaults reproduce the 2023 national position.
The coverage ratio is an author-derived indicator calculated from published NHATS estimates. It has not been validated as a measure of care adequacy. Unmet need is reported against the whole population in the source, so expressing it as a share of the not-fully-able group is an interpretive convenience, not a published denominator.
Why this is not a soft measure
The unmet-need measure captures going without clean clothes, groceries, a hot meal, bill payment, or correct medication use.
Beach and colleagues (2020) link inadequate support to concrete harms, with especially high adverse-consequence rates among adults with multimorbidity, dementia, or proximity to death, despite larger helper networks and greater compensatory effort.
Why declining assistance is ambiguous
Reduced assistance can be positive when better capacity, effective devices, or accessible environments make help unnecessary. It can be negative when help is unavailable, unaffordable, mismatched, unstable, or shifted to an overextended family member.
This distinction should change measurement. A payer that counts hours of help without measuring task completion may reward more services even when adaptation is effective. A system that counts lower service use as success without measuring unmet consequences may reward abandonment. The appropriate outcome is safe, preferred, reliable task completion with the least burdensome effective mix of personal help, technology, and environmental adaptation.
Empirical findings
Capacity improved, but the gains are uneven
The share in the 2011-defined high physical-capacity quartile increased from 19.7% to 24.6%, while the low-capacity quartile declined from 27.8% to 21.0%. Because the quartile thresholds are anchored to the 2011 distribution, these changes represent improvement relative to the baseline population rather than a mechanically fixed 25% in each quartile.
Individual performance tests broadly confirm the direction. The share with low grip strength fell by 9.8 percentage points, low balance by 8.4 points, low chair-stand performance by 7.2 points, and low walking performance by 6.7 points. Low lung airflow did not improve significantly.
Physical capacity improved, with a pandemic measurement gap
Percent in 2011-defined capacity quartiles. Performance tests were unavailable in 2020 and partly unavailable in 2021.
Figure 4. Physical-capacity trends. The missing performance-based years are left visible rather than bridged. A simple line between 2019 and 2022 could imply a continuity that was not observed. The uninterrupted self-reported series provides a useful, but not identical, comparator.

Capacity is a reserve measure, not a count of successful daily activity. Environmental barriers, symptoms, confidence, transportation, and availability of help may prevent a person with adequate measured capacity from completing essential tasks.
Dementia
Probable dementia among adults aged 72 and older outside nursing homes declined from 11.9% in 2011 to 8.1% in 2022, a 3.8-point and 31.9% relative decline. When nursing-home residents were included, prevalence declined from 14.4% to 9.7%. Significant age-specific declines occurred among adults ages 80 to 84, 85 to 89, and 90 and older, but not among those in their seventies.
Dementia prevalence declined primarily at older ages
Percent with probable dementia by age group, 2011 to 2022, excluding nursing-home residents.
Figure 5. Dementia prevalence by age group. Absolute prevalence remained strongly age-graded even as the oldest groups improved. The series ends in 2022 because classification requires information from two survey rounds.

A companion NHATS analysis found declining prevalence and incidence through 2021 but also sharply increased mortality among people with dementia at the onset of the pandemic. Compositional shifts explained 27% of the full-period prevalence decline, compared with 45% of the pre-pandemic decline (Freedman and Cornman, 2024). Prevalence is jointly shaped by incidence, survival, diagnostic classification, education, vascular and other risk exposures, and pandemic mortality.
Planning caution
The population burden can rise even when prevalence falls.
The number of older adults is growing and care intensity remains high for those living with dementia. Leaders should not reduce dementia care capacity solely because an age-specific prevalence rate improves. The Demand model section quantifies this directly.
Sensory capacity
Poor hearing declined from 17.8% to 12.7%, with improvement among both sexes and in three of four regions. Poor vision changed from 10.7% to 9.5%, but the overall linear trend did not meet the chart book’s significance threshold. Vision improved among women, adults ages 90 and older, and non-Hispanic Black adults.
The asymmetry between hearing and vision is operationally important because sensory function affects fall risk, communication, cognitive assessment, informed consent, portal use, medication instructions, and telehealth accessibility.
Capacity and sensory endpoints, 2011 and 2023
Vision is marked not significant because the linear trend did not meet the source’s threshold.
Empirical findings
Community residence has become the dominant care platform
Among adults outside nursing homes, traditional community residences increased from 84.2% to 86.5%, while residential care outside nursing homes declined from 7.9% to 6.4%. When nursing-home residents were included, nursing-home residence declined from 4.4% to 2.2%, a fall of 50% relative to its 2011 level.
This is a profound reallocation of where disability is managed. Care work once concentrated in institutions is increasingly dispersed across private residences, senior housing, outpatient clinics, emergency departments, home health, hospice, family networks, and paid home-care agencies. Institutional decline may reflect preference, policy, financing, supply, eligibility, mortality, and improved accommodation. It should not be equated with the elimination of complex needs.
Residential setting
Percent, 2011 and 2023. Nursing-home residence uses estimates that include nursing-home residents.
Home modifications
Percent with each modification type, 2011 and 2023.
Figure 6. Residential setting and home modification. The community is expanding as the site of aging, while environmental adaptation is concentrated in bathing and toileting. Residential-setting estimates have different inclusion rules as labeled.

Housing form and the flat mobility line
Housing type changed modestly. One-level and accessible multi-level houses remained broadly stable, while limited-access multi-level houses increased, mobile-home residences declined, and multi-unit residences declined. The increase in limited-access multi-level housing is counterintuitive for an aging population and may create stair, entry, and emergency-egress challenges not captured by modification counts.
Home modification was more dynamic. Any modification increased from 72.8% to 81.3%. Bathing modifications rose from 66.1% to 74.4%, and toileting modifications from 39.3% to 50.5%. Mobility-related modifications, such as ramps, elevators, or stair glides, remained nearly flat, rising only from 12.4% to 12.8%.
Relatively common interior bathroom adaptations have diffused readily. Structurally intensive mobility adaptations have not. Cost, ownership, building form, and structural complexity remain the plausible barriers, and each of them is addressable by a financing or contracting pathway rather than by clinical advice.
Evidence position. Recent reviews find that home modifications can reduce falls and fall risk, improve function and quality of life, and support caregivers, but evidence on costs and long-term sustainability remains limited (Cha, 2025; Hutchinson et al., 2026). An installed feature is not necessarily usable, sufficient, aesthetically acceptable, maintained, or matched to changing needs.
Leadership interpretation
Aging in place is not a location decision alone. It is a service-design commitment.
It requires accessible housing, task-matched assistance, caregiver support, home-based clinical capability, transportation, digital alternatives, and escalation pathways. Modification should be understood as a clinical and operational intervention when it changes the probability of injury, hospitalization, caregiver strain, or institutionalization.
Empirical findings
Digital participation has become part of late-life functioning
Electronic communication changed faster than any disability or housing indicator in the chart book. Emailing or texting increased from 29.5% in 2011 to 73.0% in 2023, a 43.5-point and 147.5% relative increase. Going online for purposes other than email increased from 30.9% to 68.1%. Online household activities increased from 16.1% to 54.9%, and online health activities from 12.7% to 39.1%. Social networking increased from 15.0% in 2013 to 38.0% in 2023.
These are not peripheral lifestyle trends. Banking, shopping, prescription ordering, insurance administration, clinical communication, scheduling, results review, transportation, and social connection increasingly require digital interaction. Digital capability therefore affects whether an older adult can perform instrumental activities of daily living, navigate healthcare, and remain socially connected.
Electronic communication increased at every age
Percent emailing or texting, by age group, 2011 to 2023.
Figure 7. Emailing or texting by age group. Adoption rose in every age group. In 2023, 84.6% of adults ages 72 to 74 communicated electronically compared with 34.1% of adults ages 90 and older.

Adoption is not equity
The aggregate increase conceals large 2023 gradients. Email or texting ranged from 84.6% among adults ages 72 to 74 to 34.1% among those ages 90 and older. It reached 91.2% among adults with graduate degrees but 32.8% among those without a high-school diploma. Rates were 77.8% among non-Hispanic White adults, 54.3% among non-Hispanic Black adults, and 47.3% among Hispanic adults. Metropolitan and non-metropolitan rates were 74.1% and 67.8%.
Figure 8. Digital stratification in 2023. All displayed groups experienced significant gains, yet current access remains highly unequal. The figure uses email or texting because it is available across the full period and for detailed subgroups.

Digital exclusion is multidimensional. A recent scoping review identifies resource, skill, and motivational exclusion, with consequences including technology anxiety and broader social exclusion (Ge et al., 2025). Digital health literacy depends on age, education, health, device access, experience, family and social support, and interface design (Shi et al., 2024). NHATS-based work also shows that older adults with vision impairment have lower odds of having and knowing how to use common devices (Thomas et al., 2024).
Model 2 of 5
Digital exclusion calculator
Set the composition of a patient panel and see how many adults a digital-only process would fail to reach. Rates are the published 2023 subgroup estimates for emailing or texting.
Shares total 100%.
This model weights one stratum at a time using published marginal rates. It does not cross-classify age against education or geography, so it should be read as a scale estimate for channel planning, not as a prediction for an individual. Emailing or texting is used as the reachability proxy because it is the broadest published digital measure.
Digital safety rule
No essential clinical, insurance, scheduling, medication, or billing process should require a single digital channel.
Adoption metrics must be paired with failure, abandonment, accessibility, proxy-use, and assisted-completion metrics. A digital-first system can improve convenience for many while producing a new class of access failure.
The remaining non-user population is not a residual group that can be ignored. It is disproportionately older, less educated, more likely to have functional or cognitive limitations, and more likely to need assistance. Leaders should measure successful completion, not portal activation. Telephone, in-person, proxy, caregiver, accessible-device, language, and low-literacy pathways should be treated as designed channels rather than exceptions.
Empirical findings
Participation recovered, but the end-of-life experience deteriorated
Participation in valued activities remained near 92% from 2011 through 2019, fell sharply to 79.1% in 2020, and recovered to 92.5% by 2023. Participation restrictions moved from 22.9% in 2019 to 17.0% in 2020 and then returned to 23.4% in 2023.
The simultaneous decline in participation and researched restrictions in 2020 appears paradoxical only if restriction is treated as the inverse of participation. In NHATS, restriction reflects health or functional constraints on valued activities. A widespread social shutdown may have reduced participation for reasons not attributable to the person’s health or functioning.
Participation recovered after the 2020 shock
Percent participating in, or restricted from, valued activities, 2011 to 2023.
Figure 9. Participation and participation restriction. The 2020 discontinuity illustrates why context and measure definition are essential. Participation recovered by 2023, but the series does not prove that all social, psychological, or functional consequences were resolved, and it does not reveal frequency, meaning, accessibility, or whether the same people regained the same activities.

End-of-life care
Hospice use in the last month of life increased from 48.3% in 2013 to 60.5% in 2022, while nursing-home deaths declined from 25.8% in 2012 to 15.8% in 2022. Home death was broadly stable across endpoints, and hospital death fluctuated. NHATS-linked research indicates that hospice is associated with better ratings of several end-of-life outcomes among older adults with dementia (Harrison et al., 2022).
However, proxy-rated excellent or very good care declined from 82.8% in 2012 to 67.4% in 2022, and from 83.1% in 2019 to 67.4% in 2022. Uptake and quality diverged. The series cannot identify whether the decline reflects workforce strain, symptom management, communication, care coordination, place of care, pandemic restrictions, bereavement context, hospice timing, or changes in expectations. It does show that a service-use measure cannot substitute for an experience measure.
Care experience
Hospice use and proxy-rated excellent or very good care. Decedents ages 72 and older, including nursing-home residents.
Location of death
Percent of decedents, 2012 and 2022.
Figure 10. End-of-life care and location of death. Hospice use rose, nursing-home deaths fell, and excellent or very good care declined. The findings require separate governance of access, timing, coordination, symptoms, respect, communication, and family experience.

Governance implication
A hospice penetration target can improve access while masking a deteriorating experience.
Late referral, short length of stay, fragmented transitions, inadequate symptom control, or poor family communication all sit underneath a rising penetration number. Boards should review hospice use and end-of-life experience as distinct, linked measures. Swearinger and Lapham (2023) found hospice use associated with less unmet self-care need at the end of life, which reinforces the importance of access while underscoring the need to examine care processes.
Stratified analysis
The national average conceals distinct equity patterns
Age
Age gradients remain large even where trends improve. Adults aged 90 and older had a 24.3% dementia prevalence in 2022, and only 34.1% used email or texting in 2023. They did not share in the significant increase in device-mediated self-care and mobility accommodation observed among those under age 85. Household unmet need reached 11.7% for the 90-and-older group in 2023, and self-care or mobility unmet need reached 32.4%, although the latter did not show a significant linear trend. Aggregate improvement should not dilute planning for the oldest old.
Sex
Most trends were similar for men and women, but important exceptions emerged. Difficulty with self-care and mobility increased among men but not women. Assistance with self-care and mobility declined among women but not men. Household unmet need increased among men but not women. Women experienced declines in residential care other than nursing homes and in excellent or very good end-of-life care, while hospice use increased among women. These patterns merit investigation of survival, living arrangement, caregiving availability, disability severity, and service access rather than simplistic gender explanations.
Race and ethnicity
Many significant trends were concentrated among non-Hispanic White and Black adults, partly reflecting sample size and statistical power. Device-mediated accommodation increased among these groups, but not among Hispanic or other race and ethnicity groups. Only non-Hispanic White adults experienced significant declines in self-care and mobility assistance and poor hearing. Only non-Hispanic Black adults experienced a significant decline in poor vision. All racial and ethnic groups increased their digital activity, yet substantial 2023 digital gaps remained. The evidence supports universal design with targeted support, not a one-size-fits-all diffusion assumption.
Education
The educational distribution shifted upward over the period, a compositional change that can improve aggregate indicators of physical, cognitive, and digital well-being. At the same time, education remained one of the strongest digital gradients: emailing or texting ranged from 32.8% among adults without a diploma to 91.2% among those with graduate education. Household unmet need increased significantly among adults without a diploma, reaching 12.8% in 2023. Health systems that move administrative work online without literacy-sensitive support may convert educational inequality into access inequality.
Region and metropolitan status
The South experienced more significant trends than other regions, reflecting both population scale and substantive change. Unmet self-care or mobility needs increased in the Midwest, while household unmet needs increased in the Northeast. Physical-capacity improvement was largely metropolitan.
The non-metropolitan pattern is especially consequential. Unmet need for self-care or mobility increased from 12.6% to 16.5% in non-metropolitan areas while declining from 14.6% to 12.7% in metropolitan areas. Household unmet need more than doubled from 4.7% to 10.1% in non-metropolitan areas, while it did not significantly trend in metropolitan areas. Electronic communication increased in both settings but remained lower outside metropolitan areas.
Non-metropolitan gains coexist with a widening care gap
Percent in 2011 and 2023. Trend significance is reported in the detailed NHATS tables.
Figure 11. Metropolitan and non-metropolitan divergence. Non-metropolitan adults achieved major digital gains but experienced significant increases in unmet need. This is a classic example of progress in one infrastructure domain coexisting with deterioration in another.

Table 4. Selected 2023 equity signals
| Measure | Contrast | Interpretation |
|---|---|---|
| Self-care and mobility unmet need | Non-metropolitan 16.5%; metropolitan 12.7% | The trend increased outside metropolitan areas and decreased within them. |
| Household unmet need | Non-metropolitan 10.1%; metropolitan 7.8% | The non-metropolitan rate more than doubled from 2011. |
| Email or texting | No diploma 32.8%; graduate degree 91.2% | Digital participation remains strongly education-graded. |
| Email or texting | Hispanic 47.3%; Black 54.3%; White 77.8% | All improved, but current access remains unequal. |
| Dementia | Ages 90 and older 24.3%; all ages 8.1% in 2022 | Decline does not remove the steep age gradient. |
| Household unmet need | Living alone 11.0%; spouse only 5.7% | Living arrangement is a practical support context. |
Source: Detailed Tables 3, 4, 6, and 12 in Freedman and Cornman (2026). Comparisons are descriptive and not adjusted causal effects.
Interpretation
Disability is being redistributed, not erased
Core interpretation
The major transition is from institution-centered dependency toward distributed, adaptive, home-based dependency.
Capacity gains are real, but their value depends on the infrastructure that converts capacity into a safe daily life.
Why the findings appear contradictory
A prevalence-based reading produces contradictions: physical capacity improves while the share fully able declines; assistance declines while household difficulty increases; nursing-home residence falls while the number of people aging in the community rises; digital participation expands while digital inequities persist; hospice use rises while rated quality falls.
The contradictions largely dissolve when the outcomes are placed in a system of person-environment fit. Capacity is only one input. An older adult may have adequate grip, balance, or cognition yet struggle with medication management, transportation, meal preparation, stairs, insurance forms, or caregiver coordination. Conversely, a person with limited capacity may function well when a device, an accessible bathroom, a reliable helper, and a usable digital channel reduce task demand. The unit of analysis should be the functioning system around the person.
The redistribution pathway
Stages one through four are grounded in NHATS trends. Downstream risk and the required operating model are evidence-informed interpretations requiring local validation.
Population and policy shift observed
More older adults remain in community settings; institutional residence declines. Nursing-home residence halved from 4.4% to 2.2%.
Adaptive response observed
Devices, bathroom modifications, digital communication, and online transactions increase. Device accommodation rose 6.2 points and any home modification 8.5 points.
Work transfer observed
More monitoring, coordination, household work, and risk management occur at home rather than in an institution.
Infrastructure stress observed
Assistance declines for some tasks while rural and household unmet need rises. Support coverage within the group needing help fell from 70.1% to 58.5%.
Downstream risk inferred
Medication errors, food insecurity, falls, caregiver strain, crisis use, and avoidable transitions may follow. This stage is an interpretation, not a NHATS finding.
Required operating model author-developed
Integrated capacity, home, caregiver, digital, clinical, and end-of-life governance. This is the Adaptive Aging Infrastructure Framework.
Competing interpretations
The report’s preferred interpretation integrates rather than dismisses these explanations.
| Lens | Interpretation |
|---|---|
| Optimistic | Better capacity, dementia decline, sensory improvement, device use, home modifications, community residence, and digital adoption indicate healthier, more adaptable aging. |
| Cautionary | Lower assistance, rising household difficulty, rural unmet need, and declining end-of-life ratings indicate hidden burden and insufficient support. |
| Compositional | Higher education, age distribution, survival, and sample refresh explain part of the trend without requiring individual-level improvement. |
| Substitution | Technology and devices substitute for personal help for some tasks, but may transfer work to older adults or caregivers and may not address high-complexity needs. |
| Measurement | Changes in researching, mode, classification, and pandemic context contribute to observed patterns. |
The future pressure is demographic
Current improvements do not eliminate future demand. Recent NHATS-based projections estimate that late-life care needs will rise about 23% from 2022 to 2040, with roughly 7.7 million older adults potentially needing care but lacking a family caregiver and approximately 14 million experiencing unmet care needs. The principal driver is population growth at the oldest ages, not a collapse in family commitment (Freedman et al., 2026a).
A separate 2026 analysis found increasing limitations and unmet need among adults ages 65 to 74 even as older age groups improved, suggesting that future cohorts may not simply inherit the favorable trends observed among today’s oldest adults (Freedman et al., 2026b).
Author-developed conceptual model
Adaptive Aging Infrastructure Framework
The framework integrates six domains that NHATS often presents separately. Its purpose is not to create a premature composite score. It is to prevent leaders from optimizing one domain while degrading another. Safe, equitable independence is the outcome of fit across all six domains.

Figure 12. Adaptive Aging Infrastructure Framework. The framework connects capacity, accommodation, environment, care sufficiency, digital access, and goal-concordant life. It is a governance model, not a validated diagnostic instrument.
Explore the six domains
Domain 01
Capacity: physical, cognitive, and sensory reserve.
Operational scope. Strength, balance, mobility, cognition, vision, and hearing.
Illustrative measures. Low-capacity prevalence, falls, and cognitive and sensory screening.
What the evidence shows. Low physical capacity fell from 27.8% to 21.0% and poor hearing from 17.8% to 12.7%, while poor vision did not meet the significance threshold. Capacity is a reserve measure, so improvement here does not by itself guarantee task completion.
Domain 02
Accommodation: devices and adaptive strategies.
Operational scope. Assistive devices and adaptive task strategies.
Illustrative measures. Successful use, fit, training, abandonment, and maintenance.
What the evidence shows. Successful accommodation rose from 30.8% to 37.0%, the single largest functional gain in the series. The gain did not extend to adults ages 85 and older or to Hispanic and other race and ethnicity groups.
Domain 03
Environment: housing accessibility and home modification.
Operational scope. Housing accessibility and home modification.
Illustrative measures. Hazards, bathroom access, entry, stairs, and emergency response.
What the evidence shows. Any modification reached 81.3% and bathing modification 74.4%, but mobility modification stayed near 12.8%. The unevenness is structural rather than clinical, which makes it a financing and contracting problem.
Domain 04
Care sufficiency: matched help and stable networks.
Operational scope. Family, friends, paid, and clinical help.
Illustrative measures. Task match, stability, hours, backup, and unmet consequences.
What the evidence shows. This is the weakest domain in the national picture. Support coverage within the group needing household help fell from 70.1% to 58.5%, and unmet need rose to 8.2%.
Domain 05
Digital access: communication, health, and transactions.
Operational scope. Communication, portals, telehealth, and transactions.
Illustrative measures. Completion, accessibility, assisted use, and alternative channels.
What the evidence shows. Email or texting reached 73.0% and online health activity 39.1%, with a 2023 range from 91.2% among graduate-degree holders to 32.8% among adults without a diploma. Adoption is high and access is unequal at the same time.
Domain 06
Goal-concordant life: participation and end-of-life quality.
Operational scope. Valued participation and end-of-life experience.
Illustrative measures. Participation, preferences, symptom control, and caregiver experience.
What the evidence shows. Participation recovered to 92.5% by 2023, but proxy-rated excellent or very good end-of-life care fell to 67.4% in 2022. Service penetration rose while experience quality fell, so the two must be governed separately.
Table 5. Framework domains and measurement implications
| Domain | Operational scope | Illustrative measures |
|---|---|---|
| Capacity | Strength, balance, mobility, cognition, vision, and hearing | Low-capacity prevalence; falls; cognitive and sensory screening |
| Accommodation | Devices and adaptive task strategies | Successful use, fit, training, abandonment, maintenance |
| Environment | Housing accessibility and home modification | Hazards, bathroom access, entry, stairs, emergency response |
| Care sufficiency | Family, friends, paid, and clinical help | Task match, stability, hours, backup, unmet consequences |
| Digital access | Communication, portals, telehealth, transactions | Completion, accessibility, assisted use, alternative channels |
| Goal-concordant life | Valued participation and end-of-life experience | Participation, preferences, symptom control, caregiver experience |
Author-developed framework. Measures are illustrative and require validation, ownership, and specification of denominators.
Model
Prevalence and burden are different questions
Most of this report’s favourable findings are rates. Capacity plans are built in people. When the population at the oldest ages grows, a falling rate and a rising caseload are not contradictory; they are the expected result.
NHATS-based projections estimate that late-life care needs will rise about 23% between 2022 and 2040, driven principally by population growth at the oldest ages rather than by a collapse in family commitment (Freedman et al., 2026a). This model applies that arithmetic to any denominator you can defend locally.
Model 3 of 5
Population demand translator
Convert published prevalence into people, then hold the rate or improve it and watch what happens to the count.
| Measure | Rate today | People today | Rate at horizon | People at horizon | Change |
|---|
Rates are the published 2023 national estimates, except probable dementia, which is the 2022 estimate. The model applies a single uniform prevalence change across every measure so that the arithmetic stays legible; real trajectories differ by measure. This is a planning translator, not a projection of NHATS estimates.
The decoupling result
Hold the population growth at the published +23% and apply the full observed dementia decline of -31.9%, and the caseload still falls by only about 16%.
Set the prevalence change to zero and the caseload rises by the full 23%. Any planning conversation that cites an improving rate without stating the denominator is answering a different question from the one the capacity plan asks.
Model
Adaptive Aging Infrastructure readiness
Twenty-four items across the six framework domains. The overall score is a geometric mean rather than an average, because the framework’s central claim is that fit is governed by the weakest domain. A programme that is excellent in five domains and absent in the sixth does not deliver five-sixths of safe independence.
Capacity 1. Function, mobility, cognition, vision, and hearing are screened at defined high-risk encounters rather than opportunistically.
Capacity 2. A positive screen triggers a named action pathway, not documentation alone.
Capacity 3. Falls, sensory loss, and cognitive change are tracked as a linked risk picture rather than as separate registries.
Capacity 4. Dementia care capacity is planned against absolute population counts, not against a prevalence rate alone.
Accommodation 1. Device provision includes fitting and training as a standard step, not an optional add-on.
Accommodation 2. Follow-up confirms the target task is completed without difficulty or assistance, rather than confirming the device was delivered.
Accommodation 3. Device abandonment and maintenance failure are measured.
Accommodation 4. Accommodation reach is reviewed for adults ages 85 and older and for groups where the national gain did not appear.
Environment 1. A home-safety referral pathway exists and its completion is tracked to closure.
Environment 2. Financing routes exist for structurally intensive modifications such as ramps, stair glides, and entry access.
Environment 3. Modification is paired with training and reassessment as capacity changes.
Environment 4. Discharge planning addresses bathing access, stairs, entry, lighting, and emergency communication.
Care sufficiency 1. Unmet need is screened task by task, not as a generic social-needs question.
Care sufficiency 2. At least one confirmed backup helper is recorded for each critical task.
Care sufficiency 3. Caregiver training, respite, and navigation are funded as risk-reduction interventions.
Care sufficiency 4. Falling service use is never counted as a saving without concurrent unmet-need monitoring.
Digital access 1. Every essential process has a designed non-digital route, not an exception process.
Digital access 2. Reporting shows task completion and abandonment, not portal enrolment or log-ins.
Digital access 3. Proxy access, caregiver permissions, accessible authentication, and language support are available.
Digital access 4. Interfaces are tested with adults ages 85 and older, people with sensory or cognitive limitations, and low-literacy users.
Goal-concordant life 1. A patient-defined valued activity goal is recorded and revisited after transitions.
Goal-concordant life 2. End-of-life experience is reviewed separately from hospice penetration.
Goal-concordant life 3. Hospice timing, symptoms, transitions, and family communication are governed as named measures.
Goal-concordant life 4. Every domain above is reported with an equity gap and a named action owner.
Model 4 of 5
Readiness profile
The overall figure is the geometric mean of the six domain scores. The gap against the arithmetic average is the amount an averaging scorecard would hide.
0 of 24 items answered
Most domains are early. Choose one high-risk transition and close the loop there before broadening scope.
Domain profile
Each axis is 0 to 100.
| Domain | Score |
|---|
Each domain contains four items scored 0 to 4, so a domain score is the item total divided by 16 and expressed out of 100. Unanswered items score zero, which is why the ring rises as you complete the instrument.
From evidence to operating model
Leadership implications
For health systems
Treat the home as part of the care delivery environment. Discharge planning that confirms diagnosis and medications but ignores bathing access, stairs, food preparation, caregiver capacity, transportation, and digital navigation is incomplete. A positive unmet-need screen without a closed-loop response documents vulnerability without changing it.
- Embed brief self-care, mobility, household-task, home-safety, caregiver, and digital-access screens in high-risk transitions.
- Create escalation pathways to occupational therapy, home health, social work, pharmacy, transportation, community aging services, and paid-care resources.
- Include the full care network, not only the person attending the visit, in complex-care planning when the patient permits.
- Measure post-discharge task failure, medication access, food access, falls, caregiver instability, and portal abandonment alongside readmissions.
- Build home-based and hybrid care capability for newly homebound adults, a dynamic group with high subsequent mortality and functional risk (Ankuda et al., 2021).
For payers and public programs
Payment policy frequently separates medical care, long-term services and supports, home modification, transportation, and caregiver training, even though the older adult experiences them as a single functioning system. The NHATS trends argue for benefit designs that reward matched support and prevention of adverse consequences rather than institutional use alone.
- Finance rapid home assessment and modest modifications after falls, fractures, stroke, progressive neurologic disease, or repeated emergency use.
- Support caregiver training, respite, navigation, and backup planning as risk-reduction interventions.
- Use supplemental benefits and value-based contracts to address household tasks that affect medication adherence, nutrition, and safe community residence.
- Stratify unmet need and digital completion by geography, disability, language, race and ethnicity, education, and living arrangement.
- Avoid treating lower nursing-home use as a savings outcome unless community safety, caregiver burden, and unmet need are concurrently monitored.
For aging services, housing, and communities
The scale of bathroom modification shows that environmental intervention can diffuse. The flat mobility-modification trend suggests that cost, ownership, building form, and structural complexity remain barriers. Housing and aging-service leaders should develop fast, trusted, locally accessible pathways for assessment, contractor referral, financing, installation, and follow-up.
- Prioritize bathroom safety, entry access, stairs, lighting, floor transitions, emergency communication, and medication organization.
- Pair physical modification with training and reassessment as capacity changes.
- Design rural strategies around workforce scarcity, travel distance, broadband, and fewer paid-care alternatives.
- Use libraries, senior centers, faith communities, and community health workers as digital-navigation and caregiver-support infrastructure.
- Plan accessible housing supply as a health-capacity issue, not only a real-estate issue.
For digital and experience leaders
Digital adoption justifies investment, but the remaining non-user population is not a residual group that can be ignored. It is disproportionately older, less educated, more likely to have functional or cognitive limitations, and more likely to need assistance. Digital strategy should optimize successful completion across channels.
- Research task completion and time-to-resolution, not registration or log-in alone.
- Test interfaces with adults ages 85 and older, people with sensory and cognitive limitations, caregivers, and users with low literacy.
- Provide accessible authentication, proxy access, caregiver permissions, language support, and human recovery paths.
- Audit digital-only failure modes in scheduling, billing, authorizations, consent, preparation instructions, and results communication.
- Measure whether technology reduces burden or transfers administrative labor to patients and caregivers.
For hospice and serious-illness leaders
The divergence between hospice use and rated quality calls for deeper experience governance. Access remains necessary, but leaders should examine timing, symptom burden, transitions, communication, respect, spiritual and psychosocial care, caregiver training, and bereavement support.
Swearinger and Lapham (2023) found that hospice use was associated with less unmet self-care need at the end of life, reinforcing the importance of appropriate access while underscoring the need to examine care processes. A penetration target alone cannot detect late referral, short length of stay, or fragmented transitions.
Action architecture
Table 6. Adaptive Aging Infrastructure Scorecard
A useful scorecard links population need, service response, and experienced consequence. It should avoid a single composite index until reliability, weighting, and unintended incentives are tested.
Model 5 of 5
Scorecard configurator
Select the domains you will govern, assign an owner, then copy the configuration into your board pack.
| Include | Domain | Core measure and minimum specification | Avoid | Owner |
|---|---|---|---|---|
| Capacity | Documented function and sensory screen for high-risk patients, with completion inside defined encounters | Documentation without action | ||
| Accommodation | Successful device use after training, confirmed as no difficulty or assistance for the target task at follow-up | Device order counted as success | ||
| Environment | Closed-loop home-safety referral, with assessment completed and the priority hazard resolved | Referral volume without completion | ||
| Care sufficiency | Task-specific unmet need, measured as an adverse consequence in the prior month by task | Generic social-needs screen | ||
| Care network | Stable backup plan, with at least one confirmed backup for critical tasks | Assuming family availability | ||
| Digital access | Successful completion across channels, reported with abandonment, assisted use, and alternative-channel volume | Portal enrolment | ||
| Participation | Return to valued activity, defined as the patient’s own goal achieved or supported | Attendance count without personal value | ||
| End of life | Goal-concordant, high-quality final-month care covering experience, symptoms, communication, transitions, and hospice timing | Hospice penetration alone | ||
| Equity | Gap review for every domain, reported as both an absolute and a relative gap with a named action owner | Unstratified average |
Author-developed governance template. Local teams should define denominators, exclusions, data sources, thresholds, owners, and review cadence before use.
Table 7. Implementation roadmap
| Timing | Phase | Required work |
|---|---|---|
| 0 to 30 days | Define | Name an executive sponsor; map existing function, home, caregiver, digital, and end-of-life measures; identify the highest-risk transition. |
| 31 to 60 days | Design | Select brief screens; define action thresholds; map referral partners; design stratification and consent workflow. |
| 61 to 90 days | Pilot | Launch in one service line or transition pathway; use manual closed-loop tracking; collect patient and caregiver feedback. |
| Months 4 to 6 | Stabilize | Audit false positives, missed needs, workflow burden, referral completion, and equity gaps; refine measures. |
| Months 7 to 12 | Scale | Integrate into the EHR or care platform; contract for unresolved capacity gaps; add board reporting and accountability. |
| Year 2 | Evaluate | Test effects on task completion, unmet consequences, falls, acute use, caregiver burden, participation, and total cost. |
The sequence is intentionally small-pilot first. It does not assume that every domain can be automated or owned by a health system.
Recommended 90-day pilot
Pilot population
Adults ages 72 and older discharged after a fall, fracture, stroke, functional decline, or repeated emergency utilization who are returning to a community setting.
- Screen five critical task clusters: mobility and transfer, bathing and toileting, meals and groceries, medication management, and appointments and transportation.
- Document current devices, home barriers, primary and backup helpers, digital access, and the patient’s highest-valued activity goal.
- Assign each positive finding to a named response pathway and require closure status within seven days.
- Reassess at 7 and 30 days for adverse consequences, task completion, caregiver instability, and acute-care use.
- Stratify outcomes by age, sex, race and ethnicity, language, education proxy, living arrangement, geography, and digital-assistance need.
- Conduct weekly case review and monthly executive review; stop or redesign any screen that identifies needs without a viable response.
Table 8. Pilot outcome set
| Type | Outcome | Specification |
|---|---|---|
| Primary | Any task-specific unmet consequence within 30 days | Patient or proxy research using NHATS-aligned consequence logic |
| Primary | Closed-loop resolution of identified critical needs | Completed service, device, modification, training, or documented informed decline |
| Secondary | Fall, medication error, missed meal, missed appointment, emergency visit, readmission | Event count and time to event |
| Experience | Patient and caregiver effort | Time, contacts, confidence, burden, and clarity |
| Equity | Completion and consequence gaps | Absolute difference and ratio across prespecified groups |
| Balancing | Workflow burden and referral capacity | Staff time, referral delay, unresolved queue, and partner saturation |
Proposed evaluation set. The pilot should be registered internally before launch, with definitions frozen for the initial cycle.
Scientific restraint
Limitations and research agenda
Table 9. Principal limitations
| Issue | Implication |
|---|---|
| Repeated cross-sections | The chart book is designed for population trends, not causal mechanisms or within-person trajectories. Sample refresh and mortality are integral to the observed population. |
| Population boundary | The focus on Medicare beneficiaries ages 72 and older limits application to younger adults, non-beneficiaries, and other countries. |
| Institutional exclusion | Most outcomes exclude nursing-home residents, which improves measurement feasibility but can understate total population disability and change the meaning of setting trends. |
| Measurement interruption | Physical performance was not collected in 2020, and lung airflow was not collected in 2021. Pandemic-era modes and context may affect comparability. |
| Dementia lag | Dementia classification uses two rounds, so estimates end in 2022 and may be influenced by survival and classification requirements. |
| Proxy end-of-life reports | End-of-life quality is researched after death by proxies and may reflect recall, grief, expectations, relationship, and response timing. |
| Missing-data rules | Some missing vision and hearing items are classified as no limitation; missing end-of-life quality is assigned the modal response; missing hospice items are coded as no hospice. |
| Trend test | A linear p-value can miss nonlinear patterns, abrupt shocks, plateauing, and recovery. Summary charts generally omit confidence intervals. |
| Multiple comparisons | Dozens of subgroup tests increase the chance of isolated significant findings; no multiplicity correction is described. |
| Endpoint calculations | Percentage-point and relative changes in this research are descriptive calculations and do not incorporate survey-estimation uncertainty. |
Table 10. Priority research questions
| Domain | Question | Preferred design |
|---|---|---|
| Mechanism | What explains the divergence between improved physical capacity and increased household difficulty? | Decomposition by health, environment, expectations, technology, and cohort |
| Care substitution | When do devices and digital tools safely replace personal assistance? | Task-level longitudinal models with well-being and adverse consequences |
| Rural care gaps | Why did unmet needs rise outside metropolitan areas? | Link workforce, travel, broadband, service supply, payer, and county context |
| Digital completion | Who can complete essential health tasks without assistance? | Observe completion, accessibility, proxy use, abandonment, and recovery |
| Home modification | Which modifications work, for whom, at what cost, and for how long? | Pragmatic trials with falls, function, caregiver burden, and total cost |
| End-of-life quality | Why did excellent or very good ratings decline as hospice use increased? | Link timing, ownership, staffing, symptoms, transitions, place, and communication |
| Care networks | How do full networks adapt to rapidly changing needs? | Dynamic network measurement, including transient and backup helpers |
| Future cohorts | Will younger baby-boom cohorts follow the favorable older-age trends? | Age-period-cohort and repeated cross-sectional analyses |
Leadership synthesis
Conclusion
The NHATS trends document substantial progress. Older Americans are more likely to successfully use assistive devices, less likely to fall into the lowest physical-capacity group, less likely to live with probable dementia, less likely to report poor hearing, more likely to live in the community, more likely to have home modifications, and far more likely to participate digitally. Participation in valued activities also recovered after the 2020 disruption.
The progress should not obscure the central warning. Household difficulty increased as assistance declined, household unmet need rose, non-metropolitan unmet need worsened, and excellent or very good end-of-life care declined even as hospice use expanded. The architecture supporting independence has become more distributed and more dependent on systems that healthcare traditionally treats as peripheral: caregivers, accessible homes, digital access, transportation, community services, and cross-sector coordination.
The strategic question is no longer whether an older adult is simply independent or dependent. It is whether capacity, accommodation, environment, care sufficiency, digital access, and valued life goals fit together reliably. A person can remain at home and still be unsafe. A person can use a portal and still fail to obtain care. A person can enroll in hospice and still experience poor coordination. A person can use a walker and still lack grocery or medication support.
Final leadership judgment
The future of aging in America will be determined less by any single prevalence curve than by whether institutions build the connective infrastructure that turns adaptation into dependable, equitable independence.
Govern the whole functioning system around the older adult. Measure task completion and adverse consequences. Treat the home as a care setting, caregivers as partners, digital access as infrastructure, participation as an outcome, and end-of-life experience as distinct from service penetration. Begin with one high-risk transition, close the loop on identified needs, and scale only what improves the older adult’s ability to live safely and meaningfully where he or she chooses.
Audit table
Appendix A. Detailed trend catalog
Table A1 consolidates major total-population endpoints from the chart book. It is not a substitute for the source’s detailed subgroup tables. Baseline and latest years are 2011 and 2023 unless the interpretation column indicates otherwise.
| Measure | Baseline | Latest | Change | Trend p | Interpretation |
|---|---|---|---|---|---|
| Self-care and mobility: fully able | 26.6% | 21.5% | -5.1 pp | <.001 | Significant decline |
| Self-care and mobility: accommodated with devices | 30.8% | 37.0% | +6.2 pp | <.001 | Significant increase |
| Self-care and mobility: difficulty | 19.9% | 20.1% | +0.2 pp | .035 | Small significant increase |
| Self-care and mobility: assistance | 22.8% | 21.4% | -1.4 pp | .004 | Significant decline |
| Household difficulty | 12.9% | 18.0% | +5.1 pp | <.001 | Significant increase |
| Household assistance | 30.3% | 25.4% | -4.9 pp | <.001 | Significant decline |
| Household unmet need | 6.8% | 8.2% | +1.4 pp | .025 | Significant increase |
| Low physical capacity | 27.8% | 21.0% | -6.8 pp | <.001 | Significant decline |
| Probable dementia | 11.9% | 8.1% | -3.8 pp | <.001 | Through 2022 |
| Poor hearing | 17.8% | 12.7% | -5.1 pp | <.001 | Significant decline |
| Traditional community residence | 84.2% | 86.5% | +2.3 pp | <.001 | Significant increase |
| Nursing-home residence, including the population | 4.4% | 2.2% | -2.2 pp | <.001 | 50% relative decline |
| Any home modification | 72.8% | 81.3% | +8.5 pp | <.001 | Significant increase |
| Email or texting | 29.5% | 73.0% | +43.5 pp | <.001 | More than doubled |
| Online for health-related reasons | 12.7% | 39.1% | +26.4 pp | <.001 | More than tripled |
| Participation in valued activities | 92.2% | 92.5% | +0.3 pp | <.001 | Pandemic interruption and recovery |
| Hospice in the last month | 48.3% | 60.5% | +12.2 pp | .006 | 2013 to 2022 |
| Excellent or very good end-of-life care | 82.8% | 67.4% | -15.4 pp | .005 | 2012 to 2022 |
Source: Detailed tables in Freedman and Cornman (2026). The source reports the p-values.
Measure guide
Appendix B. Operational definitions
| Measure | Operational meaning |
|---|---|
| Fully able, self-care and mobility | No assistance, difficulty, or device use for going outside, getting around inside, getting in and out of bed, eating, bathing, toileting, or dressing. |
| Successfully accommodates | Uses an assistive device for one or more self-care or mobility activities, without researched difficulty or assistance. |
| Household activities | Laundry, shopping, hot-meal preparation, bills and banking, and medication tracking. |
| Unmet need | A negative consequence occurred because the activity was too difficult to perform alone, or because no one was available to help. |
| Physical capacity | Combined self-reported abilities and performance tests, classified using 2011 weighted quartile thresholds. |
| Probable dementia | Diagnosis, proxy screening, or impairment across cognitive-test domains. The trend series requires two rounds. |
| Poor vision | Blindness or inability, with aids if used, to recognize someone across the street, watch television across a room, or read print. |
| Poor hearing | Deafness or inability, with aids if used, to use a telephone or converse in noisy or quiet settings. |
| Home modification | Mobility, bathing, or toileting features such as ramps, stair glides, grab bars, shower seats, or raised toilets. |
| Online health activity | Contacting a provider, handling Medicare or insurance matters, or obtaining information about a health condition. |
| Participation restriction | Health-related or function-related limitation in valued activities, distinct from whether participation occurred. |
| Excellent or very good end-of-life care | Proxy rating of care in the final month of life. Missing values are assigned the most common annual response in the chart book. |
Condensed from the chart book’s methods and measures appendix. Consult the source for full item wording, hierarchical classification, and imputation rules.
Implementation reference
Appendix C. Evidence-to-action map
| Evidence signal | Action implication | Likely owners |
|---|---|---|
| Device accommodation increased | Assess device effectiveness and training, not possession | Function, rehabilitation, durable medical equipment, primary care |
| Household difficulty up, help down | Screen task-specific unmet consequences and close referrals | Care management, social work, pharmacy, nutrition |
| Nursing-home residence down | Build home and community capacity; monitor caregiver burden | Strategy, population health, payer, community partners |
| Home modifications increased unevenly | Create rapid home-assessment and financing pathways | Occupational therapy, home health, housing, aging services |
| Digital participation surged with gaps | Use completion and alternative-channel metrics | Digital, access, experience, compliance |
| Participation recovered | Measure patient-defined valued goals after transitions | Rehabilitation, primary care, community partners |
| Hospice up, rated quality down | Separate access, timing, process, and experience governance | Palliative care, hospice, quality, medical staff |
| Non-metropolitan unmet need rose | Build rural-specific workforce, transport, and backup models | Regional strategy, payer, community health |
Action implications are author recommendations, not effects estimated by NHATS.
References
The reference list prioritizes the controlling NHATS source, peer-reviewed NHATS analyses, and recent systematic or scoping reviews directly relevant to the interpretation.
Ankuda, C. K., Husain, M., Bollens-Lund, E., Leff, B., Ritchie, C. S., Liu, S. H., and Ornstein, K. A. (2021). The dynamics of being homebound over time: A prospective study of Medicare beneficiaries, 2012-2018. Journal of the American Geriatrics Society, 69(6), 1609-1616. https://doi.org/10.1111/jgs.17086
Beach, S. R., Schulz, R., Friedman, E. M., Rodakowski, J., Martsolf, R. G., and James, A. E. (2020). Adverse consequences of unmet needs for care in high-need and high-cost older adults. The Journals of Gerontology: Series B, 75(2), 459-470. https://doi.org/10.1093/geronb/gby021
Cha, S.-M. (2025). A systematic review of home modifications for aging in place in older adults. Healthcare, 13(7), 752. https://doi.org/10.3390/healthcare13070752
Freedman, V. A., and Cornman, J. C. (2024). Dementia prevalence, incidence, and mortality trends among U.S. adults ages 72 and older, 2011-2021. The Journals of Gerontology: Series A, 79(Suppl. 1), S22-S31. https://doi.org/10.1093/gerona/glae105
Freedman, V. A., and Cornman, J. C. (2026). National Health and Aging Trends Study trends chart book 2011-2023: Key trends, measures, and detailed tables. National Health and Aging Trends Study. https://nhatsannex.org/findings/nhats-trends-dashboards
Freedman, V. A., and Kasper, J. D. (2019). Cohort profile: The National Health and Aging Trends Study (NHATS). International Journal of Epidemiology, 48(4), 1044-1045g. https://doi.org/10.1093/ije/dyz109
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The New Architecture of Aging in America. Executive research dashboard.
Kelly Emrick, DHSc, PhD, MBA, BSRT(ARRT)R. August 2026.
Controlling quantitative source: Freedman, V. A., and Cornman, J. C. (2026), National Health and Aging Trends Study Trends Chart Book 2011-2023. Population estimates principally apply to Medicare beneficiaries ages 72 and older living outside nursing homes; selected residential, disability, dementia, and end-of-life estimates include nursing-home residents and are labeled accordingly.
The Adaptive Aging Infrastructure Framework, the support coverage ratio, the demand translator, the digital exclusion model, the readiness diagnostic, and the governance scorecard are author-developed interpretive tools. They have not been psychometrically validated and are not causal findings.