Social Determinants of Health and Delivery of Rehabilitation to Older Adults During ICU Hospitalization.

Importance: Older adults with socioeconomic disadvantage develop a greater burden of disability after critical illness than those without socioeconomic disadvantage. The delivery of in-hospital rehabilitation that can mitigate functional decline may be influenced by social determinants of health (SDOH). Whether rehabilitation delivery differs by SDOH during critical illness hospitalization is not known. Objective: To evaluate whether SDOH are associated with the delivery of skilled rehabilitation during critical illness hospitalization among older adults. Design, Setting, and Participants: This cohort study used data from the National Health and Aging Trends Study linked with Medicare claims (2011-2018). Participants included older adults hospitalized with a stay in the intensive care unit (ICU). Data were analyzed from August 2022 to September 2023. Exposures: Dual eligibility for Medicare and Medicaid, education, income, limited English proficiency (LEP), and rural residence. Main Outcome and Measures: The primary outcome was delivery of physical therapy (PT) and/or occupational therapy (OT) during ICU hospitalization, characterized as any in-hospital PT or OT and rate of in-hospital PT or OT, calculated as total number of units divided by length of stay. Results: In the sample of 1618 ICU hospitalizations (median [IQR] patient age, 81.0 [75.0-86.0] years; 842 [52.0%] female), 371 hospitalizations (22.9%) were among patients with dual Medicare and Medicaid eligibility, 523 hospitalizations (32.6%) were among patients with less than high school education, 320 hospitalizations (19.8%) were for patients with rural residence, and 56 hospitalizations (3.5%) were among patients with LEP. A total of 1076 hospitalized patients (68.5%) received any PT or OT, with a mean rate of 0.94 (95% CI, 0.86-1.02) units/d. After adjustment for age, sex, prehospitalization disability, mechanical ventilation, and organ dysfunction, factors associated with lower odds of receipt of PT or OT included dual Medicare and Medicaid eligibility (adjusted odds ratio, 0.70 [95% CI, 0.50-0.97]) and rural residence (adjusted odds ratio, 0.65 [95% CI, 0.48-0.87]). LEP was associated with a lower rate of PT or OT (adjusted rate ratio, 0.55 [95% CI, 0.32-0.94]). Conclusions and Relevance: These findings highlight the need to consider SDOH in efforts to promote rehabilitation delivery during ICU hospitalization and to investigate factors underlying inequities in this practice.

Applying Machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age - China and the US, 2020-2021.

Introduction: Childhood circumstances impact senior health, prompting the introduction of machine learning methods to assess their individual and collective contributions to senior health. Methods: Using health and retirement study (HRS) and China Health and Retirement Longitudinal Study (CHARLS), we analyzed 2,434 American and 5,612 Chinese participants aged 60 and above. Conditional inference trees and forests were employed to estimate the influence of childhood circumstances on self-rated health (SRH). Results: The conventional method estimated higher inequality of opportunity (IOP) values in both China (0.039, accounting for 22.67% of the total Gini coefficient 0.172) and the US (0.067, accounting for 35.08% of the total Gini coefficient 0.191). In contrast, the conditional inference tree yielded lower estimates (China: 0.022, accounting for 12.79% of 0.172; US: 0.044, accounting for 23.04% of 0.191), as did the forest (China: 0.035, accounting for 20.35% of 0.172; US: 0.054, accounting for 28.27% of 0.191). Childhood health, financial status, and regional differences were key determinants of senior health. The conditional inference forest consistently outperformed others in predictive accuracy, as demonstrated by lower out-of-sample mean squared error (MSE). Discussion: The findings emphasize the need for early-life interventions to promote health equity in aging populations. Machine learning showcases the potential in identifying contributing factors.

National Estimates of Short- and Longer-Term Hospital Readmissions After Major Surgery Among Community-Living Older Adults.

Importance: Nationally representative estimates of hospital readmissions within 30 and 180 days after major surgery, including both fee-for-service and Medicare Advantage beneficiaries, are lacking. Objectives: To provide population-based estimates of hospital readmission within 30 and 180 days after major surgery in community-living older US residents and examine whether these estimates differ according to key demographic, surgical, and geriatric characteristics. Design, Setting, and Participants: A prospective longitudinal cohort study of National Health and Aging Trends Study data (calendar years 2011-2018), linked to records from the Centers for Medicare & Medicaid Services (CMS). Data analysis was conducted from April to August 2023. Participants included community-living US residents of the contiguous US aged 65 years or older who had at least 1 major surgery from 2011 to 2018. Data analysis was conducted from April 10 to August 28, 2023. Main Outcomes and Measures: Major operations and hospital readmissions within 30 and 180 days were identified through data linkages with CMS files that included both fee-for-service and Medicare Advantage beneficiaries. Data on frailty and dementia were obtained from the annual National Health and Aging Trends Study assessments. Results: A total of 1780 major operations (representing 9 556 171 survey-weighted operations nationally) were identified from 1477 community-living participants; mean (SD) age was 79.5 (7.0) years, with 56% being female. The weighted rates of hospital readmission were 11.6% (95% CI, 9.8%-13.6%) for 30 days and 27.6% (95% CI, 24.7%-30.7%) for 180 days. The highest readmission rates within 180 days were observed among participants aged 90 years or older (36.8%; 95% CI, 28.3%-46.3%), those undergoing vascular surgery (45.8%; 95% CI, 37.7%-54.1%), and persons with frailty (36.9%; 95% CI, 30.8%-43.5%) or probable dementia (39.0%; 95% CI, 30.7%-48.1%). In age- and sex-adjusted models with death as a competing risk, the hazard ratios for hospital readmission within 180 days were 2.29 (95% CI, 1.70-3.09) for frailty and 1.58 (95% CI, 1.15-2.18) for probable dementia. Conclusions and Relevance: In this nationally representative cohort study of community-living older US residents, the likelihood of hospital readmissions within 180 days after major surgery was increased among older persons who were frail or had probable dementia, highlighting the potential value of these geriatric conditions in identifying those at increased risk.

Costs of fall injuries in the STRIDE study: an economic evaluation of healthcare system heterogeneity and heterogeneity of treatment effect.

OBJECTIVES: The Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) Study cluster-randomized 86 primary care practices in 10 healthcare systems to a patient-centered multifactorial fall injury prevention intervention or enhanced usual care, enrolling 5451 participants. We estimated total healthcare costs from participant-reported fall injuries receiving medical attention (FIMA) that were averted by the STRIDE intervention and tested for healthcare-system-level heterogeneity and heterogeneity of treatment effect (HTE). METHODS: Participants were community-dwelling adults age ≥ 70 at increased fall injury risk. We estimated practice-level total costs per person-year of follow-up (PYF), assigning unit costs to FIMA with and without an overnight hospital stay. Using independent variables for treatment arm, healthcare system, and their interaction, we fit a generalized linear model with log link, log follow-up time offset, and Tweedie error distribution. RESULTS: Unadjusted total costs per PYF were $2,034 (intervention) and $2,289 (control). The adjusted (intervention minus control) cost difference per PYF was -$167 (95% confidence interval (CI), -$491, $216). Cost heterogeneity by healthcare system was present (p = 0.035), as well as HTE (p = 0.090). Adjusted total costs per PYF in control practices varied from $1,529 to $3,684 for individual healthcare systems; one system with mean intervention minus control costs of -$2092 (95% CI, -$3,686 to -$944) per PYF accounted for HTE, but not healthcare system cost heterogeneity. CONCLUSIONS: We observed substantial heterogeneity of healthcare system costs in the STRIDE study, with small reductions in healthcare costs for FIMA in the STRIDE intervention accounted for by a single healthcare system. TRIAL REGISTRATION: Clinicaltrials.gov (NCT02475850).

Assessment of Regional Nursing Home Preparedness for and Regulatory Responsiveness to Wildfire Risk in the Western US.

Importance: It is uncertain whether emergency preparedness and regulatory oversight for US nursing homes are aligned with local wildfire risk. Objective: To evaluate the likelihood that nursing homes at elevated risk of wildfire exposure meet US Centers for Medicare & Medicaid Services (CMS) emergency preparedness standards and to compare the time to reinspection by exposure status. Design, Setting, and Participants: This cross-sectional study of nursing homes in the continental western US from January 1, 2017, through December 31, 2019, was conducted using cross-sectional and survival analyses. The prevalence of high-risk facilities within 5 km of areas at or exceeding the 85th percentile of nationalized wildfire risk across areas overseen by 4 CMS regional offices (New Mexico, Mountain West, Pacific/Southwest, and Pacific Northwest) was determined. Critical emergency preparedness deficiencies cited during CMS Life Safety Code Inspections were identified. Data analysis was performed from October 10 to December 12, 2022. Main Outcomes and Measures: The primary outcome classified whether facilities were cited for at least 1 critical emergency preparedness deficiency during the observation window. Regionally stratified generalized estimating equations were used to evaluate associations between risk status and the presence and number of deficiencies, adjusted for nursing home characteristics. For the subset of facilities with deficiencies, differences in restricted mean survival time to reinspection were evaluated. Results: Of the 2218 nursing homes in this study, 1219 (55.0%) were exposed to elevated wildfire risk. The Pacific/Southwest had the highest percentage of both exposed (680 of 870 [78.2%]) and unexposed (359 of 486 [73.9%]) facilities with 1 or more deficiencies. The Mountain West had the largest difference in the percentage of exposed (87 of 215 [40.5%]) vs unexposed (47 of 193 [24.4%]) facilities with 1 or more deficiencies. Exposed facilities in the Pacific Northwest had the greatest mean (SD) number of deficiencies (4.3 [5.4]). Exposure was associated with the presence of deficiencies in the Mountain West (odds ratio [OR], 2.12 [95% CI, 1.50-3.01]) and the presence (OR, 1.84 [95% CI, 1.55-2.18]) and number (rate ratio, 1.39 [95% CI, 1.06-1.83]) of deficiencies in the Pacific Northwest. Exposed Mountain West facilities with deficiencies were reinspected later, on average, than unexposed facilities (adjusted restricted mean survival time difference, 91.2 days [95% CI, 30.6-151.8 days]). Conclusions and Relevance: In this cross-sectional study, regional heterogeneity in nursing home emergency preparedness for and regulatory responsiveness to local wildfire risk was observed. These findings suggest that there may be opportunities to improve the responsiveness of nursing homes to and regulatory oversight of surrounding wildfire risk.

Performance of a modified fracture risk assessment tool for fragility fracture prediction among older veterans living with HIV.

OBJECTIVE: Fragility fractures (fractures) are a critical outcome for persons aging with HIV (PAH). Research suggests that the fracture risk assessment tool (FRAX) only modestly estimates fracture risk among PAH. We provide an updated evaluation of how well a 'modified FRAX' identifies PAH at risk for fractures in a contemporary HIV cohort. DESIGN: Cohort study. METHODS: We used data from the Veterans Aging Cohort Study to evaluate veterans living with HIV, aged 50+ years, for the occurrence of fractures from 1 January 2010 through 31 December 2019. Data from 2009 were used to evaluate the eight FRAX predictors available to us: age, sex, BMI, history of previous fracture, glucocorticoid use, rheumatoid arthritis, alcohol use, and smoking status. These predictor values were then used to estimate participant risk for each of two types of fractures (major osteoporotic and hip) over the subsequent 10 years in strata defined by race/ethnicity using multivariable logistic regression. RESULTS: Discrimination for major osteoporotic fracture was modest [Blacks: area under the curve (AUC) 0.62; 95% confidence interval (CI) 0.62, 0.63; Whites: AUC 0.61; 95% CI 0.60, 0.61; Hispanic: AUC 0.63; 95% CI 0.62, 0.65]. For hip fractures, discrimination was modest to good (Blacks: AUC 0.70; 95% CI 0.69, 0.71; Whites: AUC 0.68; 95% CI 0.67, 0.69]. Calibration was good in all models across all racial/ethnic groups. CONCLUSION: Our 'modified FRAX' exhibited modest discrimination for predicting major osteoporotic fracture and slightly better discrimination for hip fracture. Future studies should explore whether augmentation of this subset of FRAX predictors results in enhanced prediction of fractures among PAH.

Feasibility of a Smartwatch Platform to Assess Ecological Mobility: Real-Time Online Assessment and Mobility Monitor.

BACKGROUND: Early detection of mobility decline is critical to prevent subsequent reductions in quality of life, disability, and mortality. However, traditional approaches to mobility assessment are limited in their ability to capture daily fluctuations that align with sporadic health events. We aim to describe findings from a pilot study of our Real-time Online Assessment and Mobility Monitor (ROAMM) smartwatch application, which uniquely captures multiple streams of data in real time in ecological settings. METHODS: Data come from a sample of 31 participants (Mage = 74.7, 51.6% female) who used ROAMM for approximately 2 weeks. We describe the usability and feasibility of ROAMM, summarize prompt data using descriptive metrics, and compare prompt data with traditional survey-based questionnaires or other established measures. RESULTS: Participants were satisfied with ROAMM's function (87.1%) and ranked the usability as "above average." Most were highly engaged (average adjusted compliance = 70.7%) and the majority reported being "likely" to enroll in a 2-year study (77.4%). Some smartwatch features were correlated with their respective traditional measurements (eg, certain GPS-derived life-space mobility features (r = 0.50-0.51, p < .05) and ecologically measured pain (r = 0.72, p = .01), but others were not (eg, ecologically measured fatigue). CONCLUSIONS: ROAMM was usable, acceptable, and effective at measuring mobility and risk factors for mobility decline in our pilot sample. Additional work with a larger and more diverse sample is necessary to confirm associations between smartwatch-measured features and traditional measures. By monitoring multiple data streams simultaneously in ecological settings, this technology could uniquely contribute to the evolution of mobility measurement and risk factors for mobility loss.

Association of Nursing Home Exposure to Hurricane-Related Inundation With Emergency Preparedness.

Importance: Whether US nursing homes are well prepared for exposure to hurricane-related inundation is uncertain. Objectives: To estimate the prevalence of nursing homes exposed to hurricane-related inundation and evaluate whether exposed facilities are more likely to meet Centers for Medicare & Medicaid Services (CMS) emergency preparedness standards. Design, Setting, and Participants: This cross-sectional study included CMS-certified nursing homes in Coastal Atlantic and Gulf Coast states from January 1, 2017, to December 31, 2019. The prevalence of facilities exposed to at least 2 feet of hurricane-related inundation used models from the National Hurricane Center across coastal areas overseen by 5 CMS regional offices: New England, New York metropolitan area, Mid-Atlantic region, Southeast and Eastern Gulf Coast, and Western Gulf Coast. Critical emergency preparedness deficiencies cited during CMS life safety code inspections were identified. Main Outcomes and Measures: The analysis used generalized estimating equations with binomial and negative binomial distributions to evaluate associations between exposure status and the presence and number of critical emergency preparedness deficiencies. Regionally stratified associations (odds ratios [ORs]) and rate ratios [RRs]) with 95% CIs, adjusted for state-level fixed effects and nursing home characteristics, were reported. Results: Of 5914 nursing homes, 617 (10.4%) were at risk of inundation exposure, and 1763 (29.8%) had a critical emergency preparedness deficiency. Exposed facilities were less likely to be rural, were larger, and had similar CMS health inspection, quality, and staffing ratings compared with unexposed facilities. Exposure was positively associated with the presence and number of emergency preparedness deficiencies for the nursing homes within the Mid-Atlantic region (adjusted OR, 1.91 [95% CI, 1.15-3.20]; adjusted RR, 2.51 [95% CI, 1.41-4.47]). Conversely, exposure was negatively associated with the number of emergency preparedness deficiencies among facilities within the Western Gulf Coast (aRR, 0.55 [95% CI, 0.36-0.86]). The associations for the number of emergency preparedness deficiencies remained after correction for multiple comparisons. Conclusions and Relevance: The findings of this cross-sectional study suggest that the association between exposure to hurricane-related inundation and nursing home emergency preparedness differs considerably across the Coastal Atlantic and Gulf regulatory regions. These findings further suggest that there may be opportunities to reduce regional heterogeneity and improve the alignment of nursing home emergency preparedness with surrounding environmental risks.

Rationale, Design, and Characteristics of the VALIANT (COVID-19 in Older Adults: A Longitudinal Assessment) Cohort.

BACKGROUND: Most older adults hospitalized with COVID-19 survive their acute illness. The impact of COVID-19 hospitalization on patient-centered outcomes, including physical function, cognition, and symptoms, is not well understood. To address this knowledge gap, we collected longitudinal data about these issues from a cohort of older survivors of COVID-19 hospitalization. METHODS: We undertook a prospective study of community-living persons age ≥ 60 years who were hospitalized with COVID-19 from June 2020-June 2021. A baseline interview was conducted during or up to 2 weeks after hospitalization. Follow-up interviews occurred at one, three, and six months post-discharge. Participants completed comprehensive assessments of physical and cognitive function, symptoms, and psychosocial factors. An abbreviated assessment could be performed with a proxy. Additional information was collected from the electronic health record. RESULTS: Among 341 participants, the mean age was 71.4 (SD 8.4) years, 51% were women, and 37% were of Black race or Hispanic ethnicity. Median length of hospitalization was 8 (IQR 6-12) days. All but 4% of participants required supplemental oxygen, and 20% required care in an intensive care unit or stepdown unit. At enrollment, nearly half (47%) reported at least one preexisting disability in physical function, 45% demonstrated cognitive impairment, and 67% were pre-frail or frail. Participants reported a mean of 9 of 14 (SD 3) COVID-19-related symptoms. At the six-month follow-up interview, more than a third of participants experienced a decline from their pre-hospitalization function, nearly 20% had cognitive impairment, and burdensome symptoms remained highly prevalent. CONCLUSIONS: We enrolled a diverse cohort of older adults hospitalized with COVID-19 and followed them after discharge. Functional decline was common, and there were high rates of persistent cognitive impairment and symptoms. Future analyses of these data will advance our understanding of patient-centered outcomes among older COVID-19 survivors.

Evaluating California nursing homes' emergency preparedness for wildfire exposure.

BACKGROUND: The relationship between the risk of exposure to environmental hazards and the emergency preparedness of nursing homes is not well-understood. This study evaluates the association between wildfire exposure risk and nursing home emergency preparedness. METHODS: From a sample of Centers for Medicare & Medicaid Services (CMS) certified nursing homes in California, we determined the prevalence of "exposed" facilities that were located within 5 km of a wildfire risk area, as informed by a field-tested model. Among the 1182 nursing homes, we identified emergency preparedness deficiencies from January 2017 to December 2019. We estimated associations between exposure and emergency preparedness deficiencies using unadjusted and adjusted generalized estimating equations with logistic and negative binomial distributions. RESULTS: A greater percentage of the 495 exposed facilities had at least one emergency preparedness deficiency than the 687 unexposed facilities (83.9% vs 76.9%). The mean (3.6 vs 3.2) and median (3 vs 2) numbers of emergency preparedness deficiencies were also greater for exposed facilities. In both the unadjusted and adjusted analyses, exposure to wildfire risk was significantly associated with the likelihood of at least one emergency preparedness deficiency (adjusted odds ratio 1.52, p-value 0.007). There was a positive but not statistically significant association between exposure and the number of emergency preparedness deficiencies assigned to a nursing home (adjusted rate ratio 1.12, p-value 0.062). These results were consistent in analyses that used more stringent distance- and severity-thresholds to define exposure status. CONCLUSION: California nursing homes at heightened risk of exposure to wildfires have poorer emergency preparedness than unexposed facilities. These findings suggest that nursing home management and staff may be unaware of important environmental risks to which their facilities are exposed. Improved integration of nursing homes into community disaster planning may better align facility preparedness with surrounding wildfire risk.

The Incidence and Cumulative Risk of Major Surgery in Older Persons in the United States.

OBJECTIVE: The objective of this study was to estimate the incidence and cumulative risk of major surgery in older persons over a 5-year period and evaluate how these estimates differ according to key demographic and geriatric characteristics. BACKGROUND: As the population of the United States ages, there is considerable interest in ensuring safe, high-quality surgical care for older persons. Yet, valid, generalizable data on the occurrence of major surgery in the geriatric population are sparse. METHODS: We evaluated data from a prospective longitudinal study of 5571 community-living fee-for-service Medicare beneficiaries, aged 65 or older, from the National Health and Aging Trends Study from 2011 to 2016. Major surgeries were identified through linkages with Centers for Medicare and Medicaid Services data. Population-based incidence and cumulative risk estimates incorporated National Health and Aging Trends Study analytic sampling weights and cluster and strata variables. RESULTS: The nationally representative incidence of major surgery per 100 person-years was 8.8, with estimates of 5.2 and 3.7 for elective and nonelec-tive surgeries. The adjusted incidence of major surgery peaked at 10.8 in persons 75 to 79 years, increased from 6.6 in the non-frail group to 10.3 in the frail group, and was similar by sex and dementia. The 5-year cumulative risk of major surgery was 13.8%, representing nearly 5 million unique older persons, including 12.1% in persons 85 to 89 years, 9.1% in those ≥90 years, 12.1% in those with frailty, and 12.4% in those with probable dementia. CONCLUSIONS: Major surgery is a common event in the lives of community-living older persons, including high-risk vulnerable subgroups.

Early-Life Circumstances and Cross-Country Disparities in Cognition Among Older Populations - China, the US, and the EU, 2008-2018.

What is already known about this topic?: Many health challenges have emerged due to rapid population aging, including declined cognitive ability among older adults. What is added by this report?: Childhood circumstances have significant and lasting impacts on cognition in old age. This study compared cognition data from China with both the United States (U.S.) and the European Union (EU) during 2008-2018, finding that childhood circumstances could respectively explain 65.4% [95% confidence interval (CI): 59.4%, 71.4%] (China vs. the U.S.) and 38.2% (95% CI: 35.1%, 41.2%) (China vs. the EU) of the overall differences in cognition among older adults. Family socioeconomic status explained the largest share of differences among all considered childhood circumstances. What are the implications for public health practice?: Large disparities in cognition should be addressed by mitigating childhood disadvantages.

Population-Based Estimates of 1-Year Mortality After Major Surgery Among Community-Living Older US Adults.

Importance: Despite their importance to guiding public health decision-making and policies and to establishing programs aimed at improving surgical care, contemporary nationally representative mortality data for geriatric surgery are lacking. Objective: To calculate population-based estimates of mortality after major surgery in community-living older US adults and to determine how these estimates differ according to key demographic, surgical, and geriatric characteristics. Design, Setting, and Participants: Prospective longitudinal cohort study with 1 year of follow-up in the continental US from 2011 to 2018. Participants included 5590 community-living fee-for-service Medicare beneficiaries, aged 65 years or older, from the National Health and Aging Trends Study (NHATS). Data analysis was conducted from February 22, 2021, to March 16, 2022. Main Outcomes and Measures: Major surgeries and mortality over 1 year were identified through linkages with data from the Centers for Medicare & Medicaid Services. Data on frailty and dementia were obtained from the annual NHATS assessments. Results: From 2011 to 2017, of the 1193 major surgeries (from 992 community-living participants), the mean (SD) age was 79.2 (7.1) years; 665 were women (55.7%), and 30 were Hispanic (2.5%), 198 non-Hispanic Black (16.6%), and 915 non-Hispanic White (76.7%). Over the 1-year follow-up period, there were 206 deaths representing 872 096 survey-weighted deaths and 13.4% (95% CI, 10.9%-15.9%) mortality. Mortality rates were 7.4% (95% CI, 4.9%-9.9%) for elective surgeries and 22.3% (95% CI, 17.4%-27.1%) for nonelective surgeries. For geriatric subgroups, 1-year mortality was 6.0% (95% CI, 2.6%-9.4%) for persons who were nonfrail, 27.8% (95% CI, 21.2%-34.3%) for those who were frail, 11.6% (95% CI, 8.8%-14.4%) for persons without dementia, and 32.7% (95% CI, 24.3%-41.0%) for those with probable dementia. The age- and sex-adjusted hazard ratios for 1-year mortality were 4.41 (95% CI, 2.53-7.69) for frailty with a reduction in restricted mean survival time of 48.8 days and 2.18 (95% CI, 1.40-3.40) for probable dementia with a reduction in restricted mean survival time of 44.9 days. Conclusions and Relevance: In this study, the population-based estimate of 1-year mortality after major surgery among community-living older adults in the US was 13.4% but was 3-fold higher for nonelective than elective procedures. Mortality was considerably elevated among older persons who were frail or who had probable dementia, highlighting the potential prognostic value of geriatric conditions after major surgery.

New horizons in evidence-based care for older people: individual participant data meta-analysis.

Evidence-based decisions on clinical and cost-effectiveness of interventions are ideally informed by meta-analyses of intervention trial data. However, when undertaken, such meta-analyses in ageing research have typically been conducted using standard methods whereby summary (aggregate) data are extracted from published trial reports. Although meta-analysis of aggregate data can provide useful insights into the average effect of interventions within a selected trial population, it has limitations regarding robust conclusions on which subgroups of people stand to gain the greatest benefit from an intervention or are at risk of experiencing harm. Future evidence synthesis using individual participant data from ageing research trials for meta-analysis could transform understanding of the effectiveness of interventions for older people, supporting evidence-based and sustainable commissioning. A major advantage of individual participant data meta-analysis (IPDMA) is that it enables examination of characteristics that predict treatment effects, such as frailty, disability, cognitive impairment, ethnicity, gender and other wider determinants of health. Key challenges of IPDMA relate to the complexity and resources needed for obtaining, managing and preparing datasets, requiring a meticulous approach involving experienced researchers, frequently with expertise in designing and analysing clinical trials. In anticipation of future IPDMA work in ageing research, we are establishing an international Ageing Research Trialists collective, to bring together trialists with a common focus on transforming care for older people as a shared ambition across nations.

Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the USA.

This paper estimates the extent to which childhood circumstances contribute to health inequality in old age and evaluates the importance of major domains of childhood circumstances to health inequalities in the USA and China. We link two waves of the China Health and Retirement Longitudinal Study in 2013 and 2015 with the newly released 2014 Life History Survey, and two waves of the Health and Retirement Study in 2014 and 2016 with the newly released 2015 Life History Mail Survey in the USA, to quantify health inequality due to childhood circumstances for which they have little control. Using the Shapley value decomposition approach, we show that childhood circumstances may explain 7-16 and 14-30% of health inequality in old age in China and the USA, respectively. Specifically, the contribution of childhood circumstances to health inequality is larger in the USA than in China for self-rated health, mental health, and physical health. Examining domains of childhood circumstance, regional and rural/urban status contribute more to health inequality in China, while family socioeconomic status contributes more to health inequality in the USA. Our findings support the value of a life course approach in identifying the key determinants of health in old age. Distinguishing sources of health inequality and rectifying inequality due to early childhood circumstances should be the basis of policy promoting health equity.

Neighborhood Socioeconomic Disadvantage and Disability After Critical Illness.

OBJECTIVES: Factors common to socioeconomically disadvantaged neighborhoods, such as low availability of transportation, may limit access to restorative care services for critical illness survivors. Our primary objective was to evaluate whether neighborhood socioeconomic disadvantage was associated with an increased disability burden after critical illness. Our secondary objective was to determine if the effect differed for those discharged to the community compared with those discharged to a facility. DESIGN: Longitudinal cohort study with linked Medicare claims data. SETTING: United States. PATIENTS: One hundred ninety-nine older adults, contributing to 239 ICU admissions, who underwent monthly assessments of disability for 12 months following hospital discharge in 13 different functional tasks from 1998 to 2017. MEASUREMENTS AND MAIN RESULTS: Neighborhood disadvantage was assessed using the area deprivation index, a 1-100 ranking evaluating poverty, housing, and employment metrics. Those living in disadvantaged neighborhoods (top quartile of scores) were less likely to self-identify as non-Hispanic White compared with those in more advantaged neighborhoods. In adjusted models, older adults living in disadvantaged neighborhoods had a 9% higher disability burden over the 12 months following ICU discharge compared with those in more advantaged areas (rate ratio, 1.09; 95% Bayesian credible interval, 1.02-1.16). In the secondary analysis adjusting for discharge destination, neighborhood disadvantage was associated with a 14% increase in disability burden over 12 months of follow-up (rate ratio, 1.14; 95% credible interval, 1.07-1.21). Disability burden was 10% higher for those living in disadvantaged neighborhoods and discharged home as compared with those discharged to a facility, but this difference was not statistically significant (interaction rate ratio, 1.10; 95% credible interval, 0.98-1.25). CONCLUSIONS: Neighborhood socioeconomic disadvantage is associated with a higher disability burden in the 12 months after a critical illness. Future studies should evaluate barriers to functional recovery for ICU survivors living in disadvantaged neighborhoods.

Cardiovascular Health Disparities in Racial and Other Underrepresented Groups: Initial Results From the All of Us Research Program.

Background All of Us is a novel research program that aims to accelerate research in populations traditionally underrepresented in biomedical research. Our objective was to evaluate the burden of cardiovascular disease (CVD) in broadly defined underrepresented groups. Methods and Results We evaluated the latest data release of All of Us. We conducted a cross-sectional analysis combining survey and electronic health record data to estimate the prevalence of CVD upon enrollment in underrepresented groups defined by race, ethnicity, age (>75 years), disability (not able to carry out everyday physical activities), sexual orientation and gender identity lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQIA+), income (annual household income <$35 000 US dollars) and education (less than a high school degree). We used multivariate logistic regression to estimate the adjusted odds ratio (OR) and product terms to test for interaction. The latest All of Us data release includes 315 297 participants. Of these, 230 577 (73%) had information on CVD and 17 958 had CVD (overall prevalence, 7.8%; 95% CI, 7.7-7.9). Multivariate analyses adjusted by hypertension, hyperlipidemia, type 2 diabetes mellitus, body mass index, and smoking indicated that, compared with White participants, Black participants had a higher adjusted odds of CVD (OR, 1.21; 95% CI, 1.16-1.27). Higher adjusted odds of CVD were also observed in underrepresented groups defined by other factors, including age >75 years (OR, 1.90; 95% CI, 1.81-1.99), disability (OR, 1.60; 95% CI, 1.53-1.68), and income <$35 000 US dollars (OR, 1.22; 95% CI, 1.17-1.27). Sex significantly modified the odds of CVD in several of the evaluated groups. Conclusions Among participants enrolled in All of Us, underrepresented groups defined based on race, ethnicity and other factors have a disproportionately high burden of CVD. The All of Us research program constitutes a powerful platform to accelerate research focused on individuals in underrepresented groups.

Association Between Neighborhood Disadvantage and Functional Well-being in Community-Living Older Persons.

Importance: Neighborhood disadvantage is a novel social determinant of health that could adversely affect the functional well-being of older persons. Deficiencies in resource-poor environments can potentially be addressed through social and public health interventions. Objective: To evaluate whether estimates of active and disabled life expectancy differ on the basis of neighborhood disadvantage after accounting for individual-level socioeconomic characteristics and other prognostic factors. Design, Setting, and Participants: This prospective longitudinal cohort study included 754 nondisabled community-living persons, aged 70 years or older, who were members of the Precipitating Events Project in south central Connecticut from March 1998 to June 2020. Main Outcomes and Measures: Disability in 4 essential activities of daily living (bathing, dressing, walking, and transferring) was assessed each month. Scores on the Area Deprivation Index, a census-based socioeconomic measure with 17 education, employment, housing quality, and poverty indicators, were obtained through linkages with the 2000 Neighborhood Atlas. Area Deprivation Index scores were dichotomized at the 80th state percentile to distinguish neighborhoods that were disadvantaged (81-100) from those that were not (1-80). Results: Among the 754 participants, the mean (SD) age was 78.4 (5.3) years, and 487 (64.6%) were female. Within 5-year age increments from 70 to 90, active life expectancy was consistently lower in participants from neighborhoods that were disadvantaged vs not disadvantaged, and these differences persisted and remained statistically significant after adjustment for individual-level race and ethnicity, education, income, and other prognostic factors. At age 70 years, adjusted estimates (95% CI) for active life expectancy (in years) were 12.3 (11.5-13.1) in the disadvantaged group and 14.2 (13.5-14.7) in the nondisadvantaged group. At each age, participants from disadvantaged neighborhoods spent a greater percentage of their projected remaining life disabled, relative to those from nondisadvantaged neighborhoods, with adjusted values (SE) ranging from 17.7 (0.8) vs 15.3 (0.5) at age 70 years to 55.0 (1.7) vs 48.1 (1.3) at age 90 years. Conclusions and Relevance: In this prospective longitudinal cohort study, living in a disadvantaged neighborhood was associated with lower active life expectancy and a greater percentage of projected remaining life with disability. By addressing deficiencies in resource-poor environments, new or expanded social and public health initiatives have the potential to improve the functional well-being of community-living older persons and, in turn, reduce health disparities in the US.

Spousal Influences on Monthly Disability in Late-Life Marriage in the Precipitating Events Project.

OBJECTIVES: Few studies have examined spousal influences on disability in late-life marriage, and no prior study has examined these associations using monthly data. Drawing from interdependence theory, we hypothesized that one spouse currently having higher disability would be positively associated with their partner having higher disability in the next month. We also examined whether participants were at risk for increased disability when both spouses had higher prior disability. In addition, we examined gender differences in spousal associations. METHOD: Data were from 37 married couples in the Precipitating Events Project, an ongoing longitudinal study of 754 initially nondisabled adults aged 70 years and older. Assessments included monthly disability (13 basic, instrumental, and mobility activities of daily living) and demographics. RESULTS: As hypothesized, higher disability in one spouse was positively associated with higher subsequent disability in their partner. Also, wives with higher disability were especially vulnerable to subsequent increased disability when husbands had higher disability. DISCUSSION: Incorporating a spouse's current disability level in modeling older adults' subsequent disability provides additional predictive information. Wives with greater disability may be at a particularly high risk of accelerated decline when their husbands have greater disability.

D-CARE: The Dementia Care Study: Design of a Pragmatic Trial of the Effectiveness and Cost Effectiveness of Health System-Based Versus Community-Based Dementia Care Versus Usual Dementia Care.

BACKGROUND/OBJECTIVES: Although several approaches have been developed to provide comprehensive care for persons living with dementia (PWD) and their family or friend caregivers, the relative effectiveness and cost effectiveness of community-based dementia care (CBDC) versus health system-based dementia care (CBDC) and the effectiveness of both approaches compared with usual care (UC) are unknown. DESIGN: Pragmatic randomized three-arm superiority trial. The unit of randomization is the PWD/caregiver dyad. SETTING: Four clinical trial sites (CTSs) based in academic and clinical health systems. PARTICIPANTS: A total of 2,150 English- or Spanish-speaking PWD who are not receiving hospice or residing in a nursing home and their caregivers. INTERVENTIONS: Eighteen months of (1) HSDC provided by a nurse practitioner or physician's assistant dementia care specialist who works within the health system, or (2) CBDC provided by a social worker or nurse care consultant who works at a community-based organization, or (3) UC with as needed referral to the Alzheimer's Association Helpline. MEASUREMENTS: Primary outcomes: PWD behavioral symptoms and caregiver distress as measured by the Neuropsychiatric Inventory Questionnaire (NPI-Q) Severity and Modified Caregiver Strain Index scales. SECONDARY OUTCOMES: NPI-Q Distress, caregiver unmet needs and confidence, and caregiver depressive symptoms. Tertiary outcomes: PWD long-term nursing home placement rates, caregiver-reported PWD functional status, cognition, goal attainment, "time spent at home," Dementia Burden Scale-Caregiver, a composite measure of clinical benefit, Quality of Life of persons with dementia, Positive Aspects of Caregiving, and cost effectiveness using intervention costs and Medicare claims. RESULTS: The results will be reported in the spring of 2024. CONCLUSION: D-CARE will address whether emphasis on clinical support and tighter integration with other medical services has greater benefit than emphasis on social support that is tied more closely to community resources. It will also assess the effectiveness of both interventions compared with UC and will evaluate the cost effectiveness of each intervention.