Correlates of Sleep Health among Older-Age People with and without HIV in Uganda.

There is a growing population of older people with HIV (PWH) in Uganda. Sleep problems disproportionately affect older people and PWH. This study aimed to estimate correlates of sleep health among older Ugandans (aged ≥ 50 years) with and without HIV, using data from the Quality of Life and Aging with HIV in Rural Uganda Study. We used the Pittsburgh Sleep Quality Index to assess sleep quality, duration, and efficiency. We fitted multivariable linear and logistic regression models to estimate the associations between sleep outcomes and variables selected based on the Senescent Sleep Model: age, HIV serostatus, loneliness, urbanicity, symptoms of depression and anxiety, and perceived stress. Of 556 participants, 271 were PWH and 285 were people without HIV (PWoH). There were no statistically significant differences in sleep outcomes by HIV serostatus. Of the total sample, most reported very good (32.79%) or fairly good sleep quality (49.37%). The mean sleep duration was 6.46 h (SD = 1.74). The mean sleep efficiency was 73.98% (SD = 19.52%) with 36.69% having optimal (≥ 85%) sleep efficiency. A positive depression screen was associated with worse sleep quality (adjusted odds ratio [aOR] = 0.21; 95% CI [0.12, 0.36]), shorter sleep duration (b=-0.44; 95% CI [-0.60, -0.28]), and worse sleep efficiency (aOR = 0.51; 95% CI[0.31, 0.83]). Interventions targeting depression may improve sleep among older Ugandans, independent of HIV serostatus. Longitudinal studies are needed to determine the potential bidirectionality of this relationship and elucidate pathways to support sleep health among older Ugandans.

HIV, Social Networks, and Loneliness among Older Adults in Uganda.

Loneliness among older adults has been identified as a major public health problem. Yet little is known about loneliness, or the potential role of social networks in explaining loneliness, among older people with HIV (PWH) in sub-Saharan Africa, where 70% of PWH reside. To explore this issue, we analyzed data from 599 participants enrolled in the Quality of Life and Ageing with HIV in Rural Uganda study, including older adults with HIV in ambulatory care and a comparator group of people without HIV of similar age and gender. The 3-item UCLA Loneliness Scale was used to measure loneliness, and HIV status was the primary explanatory variable. The study found no statistically significant correlation between loneliness and HIV status. However, individuals with HIV had smaller households, less physical and financial support, and were less socially integrated compared to those without HIV. In multivariable logistic regressions, loneliness was more likely among individuals who lived alone (aOR:3.38, 95% CI:1.47-7.76) and less likely among those who were married (aOR:0.34, 95% CI:0.22-0.53) and had a higher level of social integration (aOR:0.86, 95% CI: 0.79-0.92). Despite having smaller social networks and less support, older adults with HIV had similar levels of loneliness as those without HIV, which may be attributed to resiliency and access to HIV-related health services among individuals with HIV. Nonetheless, further research is necessary to better understand the mechanisms involved.

The benefits of care: treated HIV infection and health-related quality of life among older-aged people in Uganda.

OBJECTIVES: The objective of this study is to explore how HIV care affects health-related quality of life (HRQoL) among older people in Uganda. METHODS: We enrolled older-aged (≥49 years) people with HIV receiving HIV care and treatment, along with age- and sex-similar people without HIV. We measured health-related quality of life using the EQ-5D-3L scale. RESULTS: People with HIV (n = 298) and people without HIV (n = 302) were similar in median age (58.4 vs. 58.5 years), gender, and number of comorbidities. People with HIV had higher self-reported health status (b = 7.0; 95% confidence interval [CI], 4.2-9.7), higher EQ-5D utility index (b = 0.05; 95% CI, 0.02-0.07), and were more likely to report no problems with self-care (adjusted odds ratio [AOR], 2.0; 95% CI, 1.2-3.3) or pain/discomfort (AOR = 1.8, 95% CI, 1.3-2.8). Relationships between HIV serostatus and health-related quality of life differed by gender, but not age. CONCLUSIONS: Older people with HIV receiving care and treatment reported higher health-related quality of life than people without HIV in Uganda. Access to primary care through HIV programs and/or social network mobilization may explain this difference, but further research is needed to elucidate the mechanisms.

Adequacy of Prescription Drug Coverage in Long-term Care.

RESEARCH OBJECTIVE: Affordable access to medications is important to Medicare enrollees in long-term care (LTC), yet, it is unknown if prescription drug coverage is universal and adequate to meet their high medication needs. STUDY DESIGN: We assessed enrollment in prescription drug coverage, out-of-pocket (OOP) payments and medication use in a nationwide LTC database of prescription-level, resident-level, and facility-level data for the period 2011-2013. Inadequate drug coverage was defined as ≥50% medications paid for OOP. Risk-adjusted generalized estimation equations models were estimated to identify predictors of inadequate drug coverage and total prescription fills. POPULATION STUDIED: A nationwide sample of 332,087 Medicare enrollees observed >100 days in LTC. PRINCIPAL FINDINGS: We found Medicare Part D was the main source of drug coverage (82.4%), followed by private insurance (8.5%), and Veterans Administration (0.2%). No drug coverage could be detected for 8.9% (n=29,378) who paid for all of their medications OOP or received only temporary drug payment assistance. Inadequate drug coverage was identified in another 2721 persons. LTC Medicare enrollees without drug coverage or who had private insurance received significantly fewer prescriptions than if they had been enrolled in Medicare Part D. CONCLUSION: A substantial proportion of Medicare enrollees in LTC have inadequate or no drug coverage and are receiving less medication than indicated by their health needs. POLICY IMPLICATIONS: Medicare Part D is an important policy for ensuring affordable access to medications in LTC. However, expansions are needed to increase enrollment and decrease inadequate drug coverage.

Nursing homes underreport antipsychotic prescribing.

Objective: Determine the accuracy of nursing home self-reported antipsychotic prescribing before and after implementation of a Medicare campaign to reduce use.Methods: Quasi-experimental study comparing trends in self-reported antipsychotic prescribing relative to claims-based prescribing. Setting is a nationwide sample of 11,912 facilities, 2011-2013. Participants are long-stay nursing home residents (n = 586,281) with prescribing data in Medicare Minimum Data Set 3.0 and Medicare Part D claims database. Verified with a pharmacy dispensing database. Main outcomes are the discrepancies in quarterly prevalence of antipsychotic prescribing between nursing home self-reports and claims data and the characteristics of facilities and residents where discrepancies were identified.Results: Nursing homes underreport their antipsychotic prescribing levels, on average, by 1 percentage point per quarter relative to Medicare Part D claims (0.013, 95% confidence interval (CI), 0.012-0.015; p<.001). After the Medicare campaign, the underreporting gap increased by another half a percentage point (0.004, 95% CI .003-.005; p = .012). Nursing home residents with dementia, Alzheimer's disease or bipolar disorders were at the highest risk for underreported antipsychotic prescribing before the campaign (Adjusted Odds ratio (AOR) 1.385, 95% CI: 1.330-1.444; AOR 1.234, 95% CI: 1.172-1.300; AOR 1.574, 95% CI: 1.444-1.716, respectively) and afterwards. After the launch of the Medicare campaign, underreported antipsychotic prescribing occurred most in for-profit nursing homes (AOR 1.088, 95% CI: 1.005-1.178) and facilities in the US South (AOR 1.262, 95% CI: 1.145-1.391). Agreement was high between claims and dispensing data (99.7%).Conclusion: Nursing homes did not identify up to 6,000 residents per calendar quarter as having received antipsychotics despite these prescriptions being paid by Medicare and dispensed by a pharmacy. Nursing home rates of antipsychotic prescribing from self-reported data may be biased.

Perceptions vs. evidence: therapeutic substitutes for antipsychotics in patients with dementia in long-term care.

OBJECTIVE: To compare differences between clinician perceptions of therapeutic substitutes for antipsychotics prescribed to patients with dementia in long term care (LTC) and published evidence. METHODS: A mixed-methods approach that included a drug information search, online survey of 55 LTC clinicians and a comprehensive literature review was used. For 41 pharmacologic antipsychotic substitute candidates identified, LTC clinicians rated the likelihood they would substitute each for patients with dementia and identified non-pharmacologic antipsychotic substitutes. The quality of evidence supporting the most likely antipsychotic substitutes was assessed using a modified GRADE approach. RESULTS: Among 36 (65%) of LTC clinicians responding, the pharmacologic candidates deemed likely or somewhat likely to be substituted for an antipsychotic were: valproic acid, serotonin modulator antidepressants, short-acting benzodiazepines, serotonin reuptake inhibitor antidepressants, alpha-adrenoceptor antagonist, buspirone, acetaminophen, serotonin-norepinephrine reuptake inhibitor antidepressants, memantine, and a cholinesterase inhibitor. High quality evidence supporting these substitutions existed for only memantine and cholinesterase inhibitors, while high quality evidence cautioning against this substitution existed for valproic acid. Activities and music therapy were the most commonly cited non-pharmacologic substitutes but the supporting evidence for each is sparse. CONCLUSION: Perceptions of LTC clinicians regarding substitutes for antipsychotics in LTC patients with dementia vary widely and are often discordant with published evidence.

Frailty in Medicare Advantage Beneficiaries and Traditional Medicare Beneficiaries.

Importance: A growing proportion of the population is enrolling in Medicare Advantage (MA), which typically offers additional benefits compared with traditional Medicare (TM). Objective: To determine whether frailty and frailty trajectories differ between MA enrollees and TM enrollees. Design, Setting, and Participants: This retrospective cohort study used data from the National Health and Aging Trends Study (2015-2016). Analyses were conducted from August 2023 to March 2024. Participants were community-dwelling Medicare beneficiaries aged 65 years and older. Exposure: Enrollment in MA vs TM. Main Outcomes and Measures: Frailty was calculated by a frailty index (FI) (range, 0-1, with higher values indicating greater frailty) and the Fried Frailty Phenotype (FFP) score (range, 0-5, with higher values indicating greater frailty). Physical performance, including Short Physical Performance Battery (SPPB) score (range, 0-12, with higher values indicating better performance), and gait speed (meters per second) were measured. The primary outcome was the difference in FI and FFP scores from the 2015 baseline assessment to the 2016 follow-up assessment. Secondary outcomes include the 1-year changes in SPPB and gait speed. Results: The final cohort consisted of 7063 participants (2775 [23.1%] aged >80 years; 4040 [54.7%] female), representing a sample of the 38.8 million beneficiaries. There were 2583 (35.0%) MA enrollees (13.6 million) and 4480 (65.0%) TM enrollees (25.2 million). At baseline, the FI score was similar between MA and TM enrollees (mean [SD], 0.22 [0.15] vs 0.21 [0.14]), although MA enrollees had worse phenotypic frailty (496 participants [15.2%] vs 811 participants [13.7%] considered frail by FFP score), SPPB scores (mean [SD], 6.91 [3.34] vs 7.21 [3.27]), and gait speed (0.79 [0.24] m/s vs 0.82 [0.23] m/s) than TM enrollees. One year later, there were no differences between MA and TM enrollees in the 1-year change in FI score (mean [SD], 0.016 [0.071] vs 0.014 [0.066]; adjusted mean difference, 0.001 [95% CI, -0.004 to 0.005]), FFP score (mean [SD], 0.017 [1.004] vs 0.007 [0.958]; adjusted mean difference, -0.009 [95% CI, -0.067 to 0.049]), SPPB score (mean [SD], -0.144 [2.064] vs -0.211 [1.968]; adjusted mean difference, 0.068 [95% CI, -0.076 to 0.212]), and gait speed (mean [SD], -0.0160 [0.148] m/s vs -0.007 [0.148] m/s; adjusted mean difference, -0.010 m/s [95% CI, -0.067 to 0.049 m/s]). Conclusions and Relevance: In this cohort study of Medicare beneficiaries from 2015, MA enrollees experienced similar declines in frailty over 1 year compared with TM enrollees. Future work should examine whether the specific types of services covered by health insurance can impact frailty and health trajectories for older adults.

Assessing how frailty and healthcare delays mediate the association between sexual and gender minority status and healthcare utilization in the All of Us Research Program.

OBJECTIVES: To understand how frailty and healthcare delays differentially mediate the association between sexual and gender minority older adults (OSGM) status and healthcare utilization. MATERIALS AND METHODS: Data from the All of Us Research Program participants ≥50 years old were analyzed using marginal structural modelling to assess if frailty or healthcare delays mediated OSGM status and healthcare utilization. OSGM status, healthcare delays, and frailty were assessed using survey data. Electronic health record (EHR) data was used to measure the number of medical visits or mental health (MH) visit days, following 12 months from the calculated All of Us Frailty Index. Analyses adjusted for age, race and ethnicity, income, HIV, marital status ± general MH (only MH analyses). RESULTS: Compared to non-OSGM, OSGM adults have higher rates of medical visits (adjusted rate ratio [aRR]: 1.14; 95% CI: 1.03, 1.24) and MH visits (aRR: 1.85; 95% CI: 1.07, 2.91). Frailty mediated the association between OSGM status medical visits (Controlled direct effect [Rcde] aRR: 1.03, 95% CI [0.87, 1.22]), but not MH visits (Rcde aRR: 0.37 [95% CI: 0.06, 1.47]). Delays mediated the association between OSGM status and MH visit days (Rcde aRR: 2.27, 95% CI [1.15, 3.76]), but not medical visits (Rcde aRR: 1.06 [95% CI: 0.97, 1.17]). DISCUSSION: Frailty represents a need for medical care among OSGM adults, highlighting the importance of addressing it to improve health and healthcare utilization disparities. In contrast, healthcare delays are a barrier to MH care, underscoring the necessity of targeted strategies to ensure timely MH care for OSGM adults.

Use of chronic care management service among Medicare beneficiaries in 2015-2019.

BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) introduced chronic care management (CCM) services in 2015 for patients with multiple chronic diseases. Few studies examine the utilization of CCM services by geographic region, sociodemographic, and clinical characteristics. METHODS: We used 2014-2019 Medicare claims data from a 5% random sample of fee-for-service beneficiaries aged 65 years or over. We included beneficiaries potentially eligible for CCM services because they had multiple chronic conditions (1,073,729 in 2015 and 1,130,523 in 2019). We calculated the proportion of potentially eligible beneficiaries receiving CCM service each year for the total population and by geographic region, sociodemographic, and clinical characteristics. RESULTS: The proportion of beneficiaries with two or more chronic conditions receiving CCM services increased from 1.1% in 2015 to 3.4% in 2019. The increase in CCM use was higher in the southern region, among dually eligible beneficiaries and beneficiaries with a greater burden of chronic conditions (2-5 conditions vs ≥10 conditions: 0.7% vs 2.0% in 2015; 2.1% vs 7.0% in 2019) and frailty (robust vs severely frail: 0.6% vs 3.3% in 2015; 1.9% vs 9.4% in 2019). Nearly one out of five recipients did not continue CCM service after the initial service. CONCLUSION: We found that CCM service is being used by a very small fraction of eligible patients. Barriers and facilitators to more effective CCM adoption should be identified and incorporated into strategies that encourage more widespread use of this Medicare benefit.

Characteristics of Maine and Massachusetts nurses interested in advanced nursing degrees.

BACKGROUND: Maine (ME) and Massachusetts (MA) nursing programs aim to develop collaborative training programs, but need to identify which nurses have interest in such programs. PURPOSE: We sought to determine sociodemographics of nurses seeking advanced nursing degrees nationally, and in ME and MA using the 2018 publicly available, National Sample Survey of Registered Nurses (NSSRN). METHODS: Weighted multivariable logistic regression for advanced degree-seeking, adjusted for sociodemographics. RESULTS: Of the n = 47,274 nurses (weighted n [Wn] = 3,608,633), 90.7 % were female, 74.1 % were white, and 15.8 % sought an advanced nursing degree on average 12.7 (SD 0.2) years after their first. Females vs. males had lower odds (OR 0.63, 95%CI [0.44-0.90]) and Black vs. White race had higher odds (OR 1.30, 95%CI [1.05-1.60]) of seeking doctorates. In Maine (Wn = 20,389), age 24-29 had higher odds (OR 2.98 (95%CI [1.06-3.74]), but in Massachusetts (Wn = 101,984), age 30+ had lower odds (OR 0.32, 95%CI [0.13-0.78]) of degree-seeking vs. <24 years. Initial nursing degrees earned between 1980 and 1989 had higher odds (OR 1.99, 95%CI [1.06-3.74]) in Maine, but between 2010 and 2014 had lower odds (OR 0.32, 95%CI [0.14-0.72]) in Massachusetts of degree-seeking, vs. before 1980. CONCLUSIONS: Targets for advanced nursing training programs may vary by state and sociodemographic profile.

An Analysis of Orientation and Preceptorship Influence on Nurse Job Satisfaction Across Two States.

A large public nursing data set was used to determine whether orientation and/or preceptor programs impact job satisfaction among registered nurses in Maine and Massachusetts. There was no association between orientation and preceptor programs and satisfaction, nor evidence that new nurse status modified the relationship. There is a need for evaluation of orientation and preceptor programs' structure and effectiveness, and innovation is needed in promoting job satisfaction, thereby increasing nurse retention.

Prevalence and correlates of frailty among older people with and without HIV in rural Uganda.

BACKGROUND: The relationship between HIV and frailty, a predictor of poor outcomes in the face of stressors, remains unknown in older people in sub-Saharan Africa. METHODS: We analysed data from the Quality of Life and Ageing with HIV in Rural Uganda cohort study to estimate the prevalence and correlates of frailty among older people with HIV (PWH) on long-term antiretroviral therapy and among age and sex-similar HIV-uninfected comparators. Frailty was defined as a self-report of 3 or 4 (and pre-frailty as 1 or 2) of the following phenotypic variables: weight loss, exhaustion, low activity, and slowness. We estimated the prevalence of frailty and pre-frailty and fitted logistic regression models to estimate the association between HIV and frailty, adjusting for sociodemographic factors, depression, and other comorbidities. RESULTS: We enrolled 599 participants (49% women) with a mean age of 58 years. PWH had a similar prevalence of frailty (8.1% vs. 10.9%, p=0.24) but a lower prevalence of pre-frailty (54.2% vs. 63.2%, p=0.03) compared with their HIV-uninfected comparators. In multivariable regression models, people with depression (AOR 7.52 [95% CI: 3.67-15.40], p<0.001) and those with ≥1 comorbidities (AOR 3.15 [95% CI: 1.71-3.82], p<0.001) were more likely to be frail. HIV serostatus was not significantly associated with frailty (AOR 0.71 [95% CI: 0.37-1.34], p=0.29). CONCLUSION: Older PWH had a similar prevalence of frailty as those without HIV. These findings call for additional study of the factors that contribute to the robustness of older PWH in sub-Saharan Africa.

Frailty and Time at Home After Post-Acute Care in Skilled Nursing Facilities.

OBJECTIVES: To examine the association of a claims-based frailty index with time at home, defined as the number of days alive and spent out of hospital or skilled nursing facility (SNF). DESIGN: Cohort Study. SETTING AND PARTICIPANTS: A 5% Medicare random sample of fee-for-service beneficiaries, who had continuous part A and B enrollment in the prior 6 months, that were discharged from a short SNF admission in 2014‒2016. METHODS: Frailty was measured with a validated claims-based frailty index (CFI) (range: 0‒1, higher scores indicating worse frailty) and categorized into nonfrail (CFI <0.25), mild frailty (CFI 0.25‒0.34), and moderate-to-severe frailty (CFI ≥0.35). We measured home time in the 6 months following SNF discharge (range: 0‒182 days with higher values representing more days at home and thus a better outcome). We used logistic regression to assess the association between frailty and short home time, defined as <173 days, adjusting for age, sex, race, region, a comorbidity index, clinical SNF admission characteristics in the Minimum Data Set, and SNF characteristics. RESULTS: In our sample of 144,708 beneficiaries (mean age, 80.8 years, 64.9% female, 85.9% white) who were discharged to community after SNF stay, the mean CFI was 0.26 (standard deviation, 0.07). The mean home time was 165.6 (38.1) days in nonfrail, 154.4 (47.4) days in mild frailty, 145.0 (52.0) days in moderate-to-severe frailty group. After full model adjustments, moderate to severe frailty was associated with a 1.71 (95% CI 1.65‒1.78) higher odds of having short time at home in the 6 months following SNF discharge. CONCLUSION AND IMPLICATIONS: Higher CFI is associated with short time at home in Medicare beneficiaries who are discharged to the community after post-acute SNF stay. Our results support the utility of CFI in identifying SNF patients who need additional resources and interventions to prevent health decline and poor quality of life.

Restricted mean survival time versus conventional effect summary for treatment decision-making: A mixed-methods study.

BACKGROUND: Treatment effect is typically summarized in terms of relative risk reduction or number needed to treat ("conventional effect summary"). Restricted mean survival time (RMST) summarizes treatment effect in terms of a gain or loss in event-free days. Older adults' preference between the two effect summary measures has not been studied. METHODS: We conducted a mixed methods study using a quantitative survey and qualitative semi-structured interviews. For the survey, we enrolled 102 residents with hypertension at five senior housing facilities (mean age 81.3 years, 82 female, 95 white race). We randomly assigned respondents to either RMST-based (n = 49) or conventional decision aid (n = 53) about the benefits and harms of intensive versus standard blood pressure-lowering strategies and compared decision conflict scale (DCS) responses (range: 0 [no conflict] to 100 [maximum conflict]; <25 is associated with implementing decisions). We used a purposive sample of 23 survey respondents stratified by both their random assignment and DCS from the survey. Inductive qualitative thematic analysis explored complementary perspectives on preferred ways of summarizing treatment effects. RESULTS: The mean (standard deviation) total DCS was 22.0 (14.3) for the conventional decision aid group and 16.7 (14.1) for the RMST-based decision aid group (p = 0.06), but the proportion of participants with a DCS <25 was higher in the RMST-based group (26 [49.1%] vs 34 [69.4%]; p = 0.04). Qualitative interviews suggested that, regardless of effect summary measure, older individuals' preference depended on their ability to clearly comprehend quantitative information, clarity of presentation in the visual aid, and inclusion of desired information. CONCLUSIONS: When choosing a blood pressure-lowering strategy, older adults' perceived uncertainty may be reduced with a time-based effect summary, although our study was underpowered to detect a statistically significant difference. Given highly variable individual preferences, it may be useful to present both conventional and RMST-based information in decision aids.

Change in a Claims-Based Frailty Index, Mortality, and Health Care Costs in Medicare Beneficiaries.

BACKGROUND: A claims-based frailty index (CFI) allows measurement of frailty on a population scale. Our objective was to examine the association of changes in CFI over 12 months with mortality and Medicare costs. METHODS: We used a 5% sample of fee-for-service Medicare beneficiaries. We estimated CFI (range: 0­1: nonfrail (<0.25), mildly frail (0.25­0.34), moderately-to-severely frail (≥0.35) on January 1, 2015 and January 1, 2016. Beneficiaries were categorized as having a large decrease (-<0.045), small decrease (-≤0.045-0.015), stable (±0.015), small increase (>0.015-0.045), or large increase (>0.045). We used Cox proportional hazards model to estimate hazard ratio (HR) for mortality adjusting for age, sex, and 2015 CFI value and compared total Medicare costs from January 1, 2016 to December 31, 2016. RESULTS: The study population included 995 664 beneficiaries (mean age 77 years, 56.8% female). In nonfrail (n = 906 046), HR (95% confidence interval [CI]) ranged from 0.71 (0.67-0.75) for a large decrease to 2.75 (2.68-2.33) for a large increase. In moderate-to-severely frail beneficiaries (n = 16 527), the corresponding HR (95% CI) ranged from 0.63 (0.57-0.70) to 1.21 (1.06-1.38). The mean total Medicare cost per member per year (standard deviation) was from $12 149 ($83 508) in nonfrail beneficiaries to $61 155 ($345 904) in moderate-to-severely frail beneficiaries. CONCLUSIONS: One-year changes in CFI are associated with elevated mortality risk and health care costs across all levels of frailty.

Frailty Among Sexual and Gender Minority Older Adults: The All of Us Database.

BACKGROUND: Despite known disparities in health status among older sexual and gender minority adults (OSGM), the prevalence of frailty is unknown. The aim of this study was to develop and validate a deficit-accumulation frailty index (AoU-FI) for the All of Us database to describe and compare frailty between OSGM and non-OSGM participants. METHODS: Developed using a standardized approach, the AoU-FI consists of 33 deficits from baseline survey responses of adults aged 50+. OSGM were self-reported as "not straight" or as having discordant gender and sex assigned at birth. Descriptive statistics characterized the AoU-FI. Regression was used to assess the association between frailty, age, and gender. Validation of the AoU-FI used Cox proportional hazard models to test the association between frailty categories (robust <0.15, 0.15 ≤ pre-frail ≤ 0.25, frail >0.25) and mortality. RESULTS: There were 9 110 OSGM and 67 420 non-OSGM with sufficient data to calculate AoU-FI; 41% OSGM versus 50% non-OSGM were robust, whereas 34% versus 32% were pre-frail, and 26% versus 19% were frail. Mean AoU-FI was 0.19 (95% confidence interval [CI]: 0.187, 0.191) for OSGM and 0.168 (95% CI: 0.167, 0.169) for non-OSGM. Compared to robust, odds of mortality were higher among frail OSGM (odds ratio [OR] 6.40; 95% CI: 1.84, 22.23) and non-OSGM (OR 3.96; 95% CI: 2.96, 5.29). CONCLUSIONS: The AoU-FI identified a higher burden of frailty, increased risk of mortality, and an attenuated impact of age on frailty among OSGM compared to non-OSGM. Future work is needed to understand how frailty affects the OSGM population.

Associations of the COVID-19 pandemic with quality of life: A cross-sectional study of older-age people with and without HIV in rural Uganda.

Background: COVID-19-related lockdowns and other public health measures may have differentially affected the quality of life (QOL) of older people with and without human immunodeficiency virus (HIV) in rural Uganda. Methods: The Quality of Life and Aging with HIV in Rural Uganda study enrolled people with and without HIV aged over 49 from October 2020 to October 2021. We collected data on COVID-19-related stressors (behavior changes, concerns, interruptions in health care, income, and food) and the participants' QOL. We used linear regression to estimate the associations between COVID-19-related stressors and QOL, adjusting for demographic characteristics, mental and physical health, and time before vs after the lockdown during the second COVID-19 wave in Uganda. Interaction between HIV and COVID-19-related stressors evaluated effect modification. Results: We analyzed complete data from 562 participants. Mean age was 58 (standard deviation (SD) = 7); 265 (47%) participants were female, 386 (69%) were married, 279 (50%) had HIV, and 400 (71%) were farmers. Those making ≥5 COVID-19-related behavior changes compared to those making ≤2 had worse general QOL (estimated linear regression coefficient (b) = - 4.77; 95% confidence interval (CI) = -6.61, -2.94) and health-related QOL (b = -4.60; 95% CI = -8.69, -0.51). Having access to sufficient food after the start of the COVID-19 pandemic (b = 3.10, 95% CI = 1.54, 4.66) and being interviewed after the start of the second lockdown (b = 2.79, 95% CI = 1.30, 4.28) were associated with better general QOL. Having HIV was associated with better health-related QOL (b = 5.67, 95% CI = 2.91,8.42). HIV was not associated with, nor did it modify the association of COVID-19-related stressors with general QOL. Conclusions: In the context of the COVID-19 pandemic in an HIV-endemic, low-resource setting, there was reduced QOL among older Ugandans making multiple COVID-19 related behavioral changes. Nonetheless, good QOL during the second COVID-19 wave may suggest resilience among older Ugandans.

Associations between State-Level High School HIV Education Policies and Adolescent HIV Risk Behaviors.

BACKGROUND: School-based human immunodeficiency virus (HIV) education can reach most adolescents, but inconsistencies exist in state-level content policies. The purpose of this study was to evaluate the associations between state-level high school HIV education policies and adolescent HIV risk behaviors. METHODS: This was a cross-sectional analysis of the 2019 Youth Risk Behavior Survey linked to the Guttmacher Institute Sex and HIV Education report. Logistic regression models examined the associations of state-level HIV education mandates and content policies with 3 HIV risk behaviors: (1) 4 or more lifetime sexual partners; (2) substance use before last sex; (3) condomless last sex. RESULTS: Across 33 states, 128,986 high school students were included. Multivariable adjusted models demonstrated no associations between mandated HIV education and risk behaviors. Covering abstinence along with other safe sex options was associated with lower odds, whereas stressing abstinence was associated with higher odds of at least 4 lifetime sexual partners and condomless last sex. Discriminatory sexual orientation content was associated with increased condomless last sex; associations for all HIV risk behaviors were stronger among sexual minority youth. CONCLUSIONS: Increased HIV risk behaviors associated with state policies stressing abstinence or requiring discriminatory sexual orientation content support the need for comprehensive and inclusive HIV education.

Analysis of Functional Recovery in Older Adults Discharged to Skilled Nursing Facilities and Then Home.

Importance: Although many older adults are discharged to skilled nursing facilities (SNFs) after hospitalization, rates of patients recovery afterward are unknown. Objective: To examine postacute functional recovery among older adults. Design, Setting, and Participants: This cohort study was conducted among older adults treated in SNFs, then at home with home health care (HHC). Participants were a 5% random sample of Medicare fee-for-service beneficiaries discharged to community HHC after SNF stay from 2014 to 2016 with continuous part A and B enrollment in the prior 6 months. Medicare claims data from 2014 to 2016 were used, including inpatient, SNF, hospice, HHC, outpatient, carrier, and durable medical equipment data and Minimum Data Set (MDS) and Outcome Assessment Information Set (OASIS) for SNF and HHC assessments, respectively. Data were analyzed from July 20, 2020, to June 5, 2022. Exposures: Frailty was measured with a validated claims-based frailty index (CFI) (range, 0-1; higher scores indicate worse frailty) and categorized into not frail (<0.20), mildly frail (0.20-0.29), and moderately to severely frail (≥0.30). Main Outcomes and Measures: The primary outcome was functional recovery, defined by discharge from HHC with stable or improved ability to perform activities of daily living (ADL). Recovery status was examined at 15, 30, 45, 60, 75, and 90 days after discharge to HHC using OASIS. Covariates were obtained from the MDS admission file at SNF admission, including age, race and ethnicity, cognitive status, functional status, and geographic region. Results: Among 105 232 beneficiaries (mean [SD] age, 79.1 [10.6] years; 68 637 [65.2%] women; 8951 Black [8.5%], 3109 Hispanic [3.0%], and 88 583 White [84.2%] individuals), 65 796 individuals (62.5%) were discharged from HHC services with improved function over 90 days of follow-up. Among 39 436 beneficiaries not recovered, 19 612 individuals (49.7%) had mild frailty and 15 818 individuals (40.1%) had moderate to severe frailty. While 10 492 of 17 576 beneficiaries who were not frail recovered by 45 days (59.7%), 10 755 of 32 212 individuals with moderate to severe frailty had recovered (33.4%). Overall, frailty was negatively associated with functional recovery after adjustment for demographic characteristics, geographic census regions, and health-related variables, with a hazard ratio for moderate to severe frailty of 0.62 (95% CI, 0.60-0.63) compared with nonfrailty. Conclusions and Relevance: This study found that recovery after posthospitalization SNF stay was particularly prolonged for individuals with frailty. Functional dependence in activities of daily living remained common among individuals with frailty long after discharge home.