The New Architecture of Aging in America

Reach out to me on LinkedIn for the complete research paper

Three NHATS trend lines showing device-supported independence rising while household assistance declines

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.

+6.2 ppSuccessfully accommodates with devices30.8% to 37.0%
-4.9 ppReceives household assistance30.3% to 25.4%
+5.1 ppHousehold difficulty12.9% to 18.0%
-15.4 ppExcellent or very good end-of-life care82.8% in 2012 to 67.4% in 2022

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

Cover of the executive research report, The New Architecture of Aging in America

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

DomainExamplesInterpretive question
CapacityPhysical performance, self-reported ability, dementia, vision, and hearingWhat can the person do under standardized or researched conditions?
Activity performanceSelf-care, mobility, and household activitiesHow are essential daily tasks actually completed?
AccommodationAssistive devices and home modificationsIs independence supported by technology or environmental change?
Care sufficiencyAssistance and adverse consequences of unmet needDoes available help match task-specific needs?
ParticipationParticipation in valued activities and restrictionsCan the person live in accordance with personally valued roles?
EnvironmentHousing type and residential settingWhere is care work occurring, and how accessible is the setting?
Digital participationCommunication, household transactions, social networking, and health activityCan the person use systems that increasingly mediate daily life and care?
End of lifeLocation of death, hospice, proxy-rated careDoes 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

LevelEvidenceUse
Level 1Published NHATS weighted estimates and detailed table trend testsControls all numerical claims about 2011 to 2023 trends
Level 2Peer-reviewed NHATS analyses and systematic or scoping reviewsSupports interpretation, plausibility, and policy relevance
Level 3The author’s calculations from published endpointsPercentage-point and relative changes with no survey re-estimation
Level 4Author-developed framework and scorecardStrategic 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 reportEndpointsClaimedRecomputedStatus
Household difficulty relative increase12.9 to 18.0+39.5%+39.53%Reproduces
Household assistance relative reduction30.3 to 25.4-16.2%-16.17%Reproduces
Household unmet need relative increase6.8 to 8.2+20.6%+20.59%Reproduces
Dementia relative decline11.9 to 8.1-31.9%-31.93%Reproduces
Email or texting relative increase29.5 to 73.0+147.5%+147.46%Reproduces
Nursing-home residence relative decline4.4 to 2.2-50%-50.00%Reproduces
Online health activity “more than tripled”12.7 to 39.1>3x3.08xReproduces
Non-metropolitan household unmet need “more than doubled”4.7 to 10.1>2x2.15xReproduces
Household unmet need in 20237.9 or 8.28.28.2Source disagrees with itself; detailed table used
Figure 2 category columns sum to 1002011 column100.0100.1Rounding in the published estimates
Participation trend significance92.2 to 92.5p < .001+0.3 ppSignificance 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

Measure20112023Point changeRelative change
Household difficulty12.9%18.0%+5.1 pp+39.5%
Receives household assistance30.3%25.4%-4.9 pp-16.2%
Household unmet need6.8%8.2%+1.4 pp+20.6%
Fully able56.8%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.

18.0%
25.4%
8.2%
58.5%Support coverage ratio-11.6 points against the 2011 national coverage of 70.1%
Population not fully able43.4% of the population (43,400 adults)
Of that group, receiving assistance58.5% (25,400 adults)
Of that group, carrying the task unaided41.5% (18,000 adults)
Of that group, with an unmet consequence18.9% (8,200 adults)

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.

27.8%Cannot be reached electronicallyWeighted by the panel composition you set, using published 2023 rates for Age group
Reachable by email or text3,610 adults (72.2%)
Not reachable by email or text1,390 adults (27.8%)

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

MeasureContrastInterpretation
Self-care and mobility unmet needNon-metropolitan 16.5%; metropolitan 12.7%The trend increased outside metropolitan areas and decreased within them.
Household unmet needNon-metropolitan 10.1%; metropolitan 7.8%The non-metropolitan rate more than doubled from 2011.
Email or textingNo diploma 32.8%; graduate degree 91.2%Digital participation remains strongly education-graded.
Email or textingHispanic 47.3%; Black 54.3%; White 77.8%All improved, but current access remains unequal.
DementiaAges 90 and older 24.3%; all ages 8.1% in 2022Decline does not remove the steep age gradient.
Household unmet needLiving 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.

1

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%.

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.

3

Work transfer observed

More monitoring, coordination, household work, and risk management occur at home rather than in an institution.

4

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%.

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.

6

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.

LensInterpretation
OptimisticBetter capacity, dementia decline, sensory improvement, device use, home modifications, community residence, and digital adoption indicate healthier, more adaptable aging.
CautionaryLower assistance, rising household difficulty, rural unmet need, and declining end-of-life ratings indicate hidden burden and insufficient support.
CompositionalHigher education, age distribution, survival, and sample refresh explain part of the trend without requiring individual-level improvement.
SubstitutionTechnology 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.
MeasurementChanges 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.

Adaptive Aging Infrastructure Framework: six domains surrounding the system outcome of safe, equitable independence

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.

Table 5. Framework domains and measurement implications

DomainOperational scopeIllustrative measures
CapacityStrength, balance, mobility, cognition, vision, and hearingLow-capacity prevalence; falls; cognitive and sensory screening
AccommodationDevices and adaptive task strategiesSuccessful use, fit, training, abandonment, maintenance
EnvironmentHousing accessibility and home modificationHazards, bathroom access, entry, stairs, emergency response
Care sufficiencyFamily, friends, paid, and clinical helpTask match, stability, hours, backup, unmet consequences
Digital accessCommunication, portals, telehealth, transactionsCompletion, accessibility, assisted use, alternative channels
Goal-concordant lifeValued participation and end-of-life experienceParticipation, 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.

+23%
+0%
Population todaysee table
+23.0%Change in people affectedA population change of +23% combined with a prevalence change of +0% produces a change of +23.0% in the number of people affected.
MeasureRate todayPeople todayRate at horizonPeople at horizonChange

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.

This instrument is not validated. The report states plainly that the framework and scorecard are author-developed interpretive tools that have not been psychometrically validated. The bands below are quartiles of the 0 to 100 range, chosen because they are arithmetically obvious, and they should be treated as pilot triage rather than as a measured threshold.

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.

0OF 100

0 of 24 items answered

Arithmetic average of the six domains0.0
Geometric mean (the score used)0.0
What an average would have concealed0.0
Weakest domainCapacity (0.0)
Unvalidated pilot triage bandBand 1 of 4

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.

DomainScore

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).

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.

IncludeDomainCore measure and minimum specificationAvoidOwner
CapacityDocumented function and sensory screen for high-risk patients, with completion inside defined encountersDocumentation without action
AccommodationSuccessful device use after training, confirmed as no difficulty or assistance for the target task at follow-upDevice order counted as success
EnvironmentClosed-loop home-safety referral, with assessment completed and the priority hazard resolvedReferral volume without completion
Care sufficiencyTask-specific unmet need, measured as an adverse consequence in the prior month by taskGeneric social-needs screen
Care networkStable backup plan, with at least one confirmed backup for critical tasksAssuming family availability
Digital accessSuccessful completion across channels, reported with abandonment, assisted use, and alternative-channel volumePortal enrolment
ParticipationReturn to valued activity, defined as the patient’s own goal achieved or supportedAttendance count without personal value
End of lifeGoal-concordant, high-quality final-month care covering experience, symptoms, communication, transitions, and hospice timingHospice penetration alone
EquityGap review for every domain, reported as both an absolute and a relative gap with a named action ownerUnstratified average

Author-developed governance template. Local teams should define denominators, exclusions, data sources, thresholds, owners, and review cadence before use.

Table 7. Implementation roadmap

TimingPhaseRequired work
0 to 30 daysDefineName an executive sponsor; map existing function, home, caregiver, digital, and end-of-life measures; identify the highest-risk transition.
31 to 60 daysDesignSelect brief screens; define action thresholds; map referral partners; design stratification and consent workflow.
61 to 90 daysPilotLaunch in one service line or transition pathway; use manual closed-loop tracking; collect patient and caregiver feedback.
Months 4 to 6StabilizeAudit false positives, missed needs, workflow burden, referral completion, and equity gaps; refine measures.
Months 7 to 12ScaleIntegrate into the EHR or care platform; contract for unresolved capacity gaps; add board reporting and accountability.
Year 2EvaluateTest 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.

  1. Screen five critical task clusters: mobility and transfer, bathing and toileting, meals and groceries, medication management, and appointments and transportation.
  2. Document current devices, home barriers, primary and backup helpers, digital access, and the patient’s highest-valued activity goal.
  3. Assign each positive finding to a named response pathway and require closure status within seven days.
  4. Reassess at 7 and 30 days for adverse consequences, task completion, caregiver instability, and acute-care use.
  5. Stratify outcomes by age, sex, race and ethnicity, language, education proxy, living arrangement, geography, and digital-assistance need.
  6. 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

TypeOutcomeSpecification
PrimaryAny task-specific unmet consequence within 30 daysPatient or proxy research using NHATS-aligned consequence logic
PrimaryClosed-loop resolution of identified critical needsCompleted service, device, modification, training, or documented informed decline
SecondaryFall, medication error, missed meal, missed appointment, emergency visit, readmissionEvent count and time to event
ExperiencePatient and caregiver effortTime, contacts, confidence, burden, and clarity
EquityCompletion and consequence gapsAbsolute difference and ratio across prespecified groups
BalancingWorkflow burden and referral capacityStaff 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

IssueImplication
Repeated cross-sectionsThe 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 boundaryThe focus on Medicare beneficiaries ages 72 and older limits application to younger adults, non-beneficiaries, and other countries.
Institutional exclusionMost outcomes exclude nursing-home residents, which improves measurement feasibility but can understate total population disability and change the meaning of setting trends.
Measurement interruptionPhysical performance was not collected in 2020, and lung airflow was not collected in 2021. Pandemic-era modes and context may affect comparability.
Dementia lagDementia classification uses two rounds, so estimates end in 2022 and may be influenced by survival and classification requirements.
Proxy end-of-life reportsEnd-of-life quality is researched after death by proxies and may reflect recall, grief, expectations, relationship, and response timing.
Missing-data rulesSome 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 testA linear p-value can miss nonlinear patterns, abrupt shocks, plateauing, and recovery. Summary charts generally omit confidence intervals.
Multiple comparisonsDozens of subgroup tests increase the chance of isolated significant findings; no multiplicity correction is described.
Endpoint calculationsPercentage-point and relative changes in this research are descriptive calculations and do not incorporate survey-estimation uncertainty.
Limitations specific to this dashboard. Intervening years in the interactive line charts were traced from the published figures rather than taken from a published table. Endpoints reproduce their printed labels exactly, and intermediate points should be read as close reconstructions. The support coverage ratio, the demand translator, the digital exclusion model, and the readiness diagnostic are author-developed and unvalidated. None of them re-estimates survey weights, and none should be presented as a NHATS finding.

Table 10. Priority research questions

DomainQuestionPreferred design
MechanismWhat explains the divergence between improved physical capacity and increased household difficulty?Decomposition by health, environment, expectations, technology, and cohort
Care substitutionWhen do devices and digital tools safely replace personal assistance?Task-level longitudinal models with well-being and adverse consequences
Rural care gapsWhy did unmet needs rise outside metropolitan areas?Link workforce, travel, broadband, service supply, payer, and county context
Digital completionWho can complete essential health tasks without assistance?Observe completion, accessibility, proxy use, abandonment, and recovery
Home modificationWhich modifications work, for whom, at what cost, and for how long?Pragmatic trials with falls, function, caregiver burden, and total cost
End-of-life qualityWhy did excellent or very good ratings decline as hospice use increased?Link timing, ownership, staffing, symptoms, transitions, place, and communication
Care networksHow do full networks adapt to rapidly changing needs?Dynamic network measurement, including transient and backup helpers
Future cohortsWill 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.

MeasureBaselineLatestChangeTrend pInterpretation
Self-care and mobility: fully able26.6%21.5%-5.1 pp<.001Significant decline
Self-care and mobility: accommodated with devices30.8%37.0%+6.2 pp<.001Significant increase
Self-care and mobility: difficulty19.9%20.1%+0.2 pp.035Small significant increase
Self-care and mobility: assistance22.8%21.4%-1.4 pp.004Significant decline
Household difficulty12.9%18.0%+5.1 pp<.001Significant increase
Household assistance30.3%25.4%-4.9 pp<.001Significant decline
Household unmet need6.8%8.2%+1.4 pp.025Significant increase
Low physical capacity27.8%21.0%-6.8 pp<.001Significant decline
Probable dementia11.9%8.1%-3.8 pp<.001Through 2022
Poor hearing17.8%12.7%-5.1 pp<.001Significant decline
Traditional community residence84.2%86.5%+2.3 pp<.001Significant increase
Nursing-home residence, including the population4.4%2.2%-2.2 pp<.00150% relative decline
Any home modification72.8%81.3%+8.5 pp<.001Significant increase
Email or texting29.5%73.0%+43.5 pp<.001More than doubled
Online for health-related reasons12.7%39.1%+26.4 pp<.001More than tripled
Participation in valued activities92.2%92.5%+0.3 pp<.001Pandemic interruption and recovery
Hospice in the last month48.3%60.5%+12.2 pp.0062013 to 2022
Excellent or very good end-of-life care82.8%67.4%-15.4 pp.0052012 to 2022

Source: Detailed tables in Freedman and Cornman (2026). The source reports the p-values.

Measure guide

Appendix B. Operational definitions

MeasureOperational meaning
Fully able, self-care and mobilityNo assistance, difficulty, or device use for going outside, getting around inside, getting in and out of bed, eating, bathing, toileting, or dressing.
Successfully accommodatesUses an assistive device for one or more self-care or mobility activities, without researched difficulty or assistance.
Household activitiesLaundry, shopping, hot-meal preparation, bills and banking, and medication tracking.
Unmet needA negative consequence occurred because the activity was too difficult to perform alone, or because no one was available to help.
Physical capacityCombined self-reported abilities and performance tests, classified using 2011 weighted quartile thresholds.
Probable dementiaDiagnosis, proxy screening, or impairment across cognitive-test domains. The trend series requires two rounds.
Poor visionBlindness or inability, with aids if used, to recognize someone across the street, watch television across a room, or read print.
Poor hearingDeafness or inability, with aids if used, to use a telephone or converse in noisy or quiet settings.
Home modificationMobility, bathing, or toileting features such as ramps, stair glides, grab bars, shower seats, or raised toilets.
Online health activityContacting a provider, handling Medicare or insurance matters, or obtaining information about a health condition.
Participation restrictionHealth-related or function-related limitation in valued activities, distinct from whether participation occurred.
Excellent or very good end-of-life careProxy 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 signalAction implicationLikely owners
Device accommodation increasedAssess device effectiveness and training, not possessionFunction, rehabilitation, durable medical equipment, primary care
Household difficulty up, help downScreen task-specific unmet consequences and close referralsCare management, social work, pharmacy, nutrition
Nursing-home residence downBuild home and community capacity; monitor caregiver burdenStrategy, population health, payer, community partners
Home modifications increased unevenlyCreate rapid home-assessment and financing pathwaysOccupational therapy, home health, housing, aging services
Digital participation surged with gapsUse completion and alternative-channel metricsDigital, access, experience, compliance
Participation recoveredMeasure patient-defined valued goals after transitionsRehabilitation, primary care, community partners
Hospice up, rated quality downSeparate access, timing, process, and experience governancePalliative care, hospice, quality, medical staff
Non-metropolitan unmet need roseBuild rural-specific workforce, transport, and backup modelsRegional 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

Freedman, V. A., and Spillman, B. C. (2014). Disability and care needs among older Americans. The Milbank Quarterly, 92(3), 509-541. https://doi.org/10.1111/1468-0009.12076

Freedman, V. A., Cornman, J. C., and Wolff, J. L. (2025). Caregiving trajectories and unmet care needs in later life. The Gerontologist, 65(4), gnae136. https://doi.org/10.1093/geront/gnae136

Freedman, V. A., Kasper, J. D., Cornman, J. C., Agree, E. M., Bandeen-Roche, K., Mor, V., Spillman, B. C., Wallace, R., and Wolf, D. A. (2011). Validation of new measures of disability and functioning in the National Health and Aging Trends Study. The Journals of Gerontology: Series A, 66A(9), 1013-1021. https://doi.org/10.1093/gerona/glr087

Freedman, V. A., Margolis, R., Verdery, A. M., Agree, E. M., and Friedman, E. M. (2026a). The future availability of family caregivers: Implications for late-life care gaps. Population Research and Policy Review, 45(3), 33. https://doi.org/10.1007/s11113-026-10016-4

Freedman, V. A., Patterson, S. E., Cornman, J. C., and Wolff, J. L. (2026b). Trends in care needs among older US adults diverged by age, 2011-22. Health Affairs, 45(7), 790-798. https://doi.org/10.1377/hlthaff.2025.01355

Ge, H., Li, J., Hu, H., Feng, T., and Wu, X. (2025). Digital exclusion in older adults: A scoping review. International Journal of Nursing Studies, 168, 105082. https://doi.org/10.1016/j.ijnurstu.2025.105082

Harrison, K. L., Cenzer, I., Ankuda, C. K., Hunt, L. J., and Aldridge, M. D. (2022). Hospice improves the quality of care for older adults with dementia in their last month of life. Health Affairs, 41(6), 821-830. https://doi.org/10.1377/hlthaff.2021.01985

Hutchinson, C., Block, H., Dymmott, A., Gough, C., Laver, K., Walker, R., Xiao, L., and George, S. (2026). Home modification outcomes for adults aged 50 years and over and their relatives: A scoping review. OTJR: Occupation, Participation and Health, 46(3), 539-554. https://doi.org/10.1177/15394492251361086

Shi, Z., Du, X., Li, J., Hou, R., Sun, J., and Marohabutr, T. (2024). Factors influencing digital health literacy among older adults: A scoping review. Frontiers in Public Health, 12, 1447747. https://doi.org/10.3389/fpubh.2024.1447747

Su, T.-T., and Mejia, S. T. (2024). The impact of disability and assistive technology use on well-being in later life: Findings from the National Health and Aging Trends Study. The Gerontologist, 64(6), gnae013. https://doi.org/10.1093/geront/gnae013

Swearinger, H. E., and Lapham, J. (2023). Patterns of unmet needs with assistance for self-care activities at the end of life by place of death among older adults. American Journal of Hospice and Palliative Medicine, 40(8), 805-811. https://doi.org/10.1177/10499091221127427

Thomas, J., Almidani, L., Swenor, B. K., and Varadaraj, V. (2024). Digital technology use among older adults with vision impairment. JAMA Ophthalmology, 142(5), 445-452. https://doi.org/10.1001/jamaophthalmol.2024.0467

Xu, S., Liu, M., Shin, O. E., and Hernandez, R. (2020). Differences of quality in end-of-life care across settings: Results from the U.S. National Health and Aging Trends Study of Medicare beneficiaries. Journal of Palliative Medicine, 23(12), 1623-1631. https://doi.org/10.1089/jpm.2019.0604

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.

Homekellyemrick.com