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.

Claims-Based Frailty Index and Its Relationship With Commonly Used Clinical Frailty Measures.

BACKGROUND: The relationship of claims-based frailty index (CFI), a validated measure to identify frail individuals using Medicare data, and frailty measures used in clinical practice has not yet been fully explored. METHODS: We identified community-dwelling participants of the 2015 National Health and Aging Trends Study (NHATS) whose CFI scores could be calculated using linked Medicare claims. We calculated 9 commonly used clinical frailty measures from their NHATS in-person examination: Study of Osteoporotic Fracture Index (SOF), FRAIL Scale, Frailty Phenotype, Clinical Frailty Scale (CFS), Vulnerable Elder Survey-13 (VES-13), Tilburg Frailty Indicator (TFI), Groningen Frailty Indicator (GFI), Edmonton Frail Scale (EFS), and 40-item Frailty Index (FI). Using equipercentile method, CFI scores were linked to clinical frailty measures. C-statistics and test characteristics of CFI to identify frailty as defined by each clinical frailty measure were calculated. RESULTS: Of the 3 963 older adults, 44.5% were ≥75 years, 59.4% were female, and 82.3% were non-Hispanic White. A CFI of 0.25 was equipercentile to the following clinical frailty measure scores: SOF 1.4, FRAIL 1.8, Phenotype 1.8, CFS 5.4, VES-13 5.7, TFI 4.6, GFI 5.0, EFS 6.0, and FI 0.26. The C-statistics of using CFI to identify frailty as defined by each clinical measure were ≥0.70, except for CFS and VES-13. The optimal CFI cutpoints to identify frailty per clinical frailty measure ranged from 0.212 to 0.242, with sensitivity and specificity of 0.37-0.83 and 0.66-0.84, respectively. CONCLUSIONS: Understanding the relationship of CFI and commonly used clinical frailty measures can enhance the interpretability and potential utility of CFI.

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.

Differences In Nursing Home Staff COVID-19 Testing Rates And Odds Of Vaccination Across Work Shifts.

COVID-19 vaccination and regular testing of nursing home staff have been critical interventions for mitigating COVID-19 outbreaks in US nursing homes. Although implementation of testing has largely been left to nursing home organizations to coordinate, vaccination occurred through a combination of state, federal, and organization efforts. Little research has focused on structural variation in these processes. We examined whether one structural factor, the primary shift worked by staff, was associated with differences in COVID-19 testing rates and odds of vaccination, using staff-level data from a multistate sample of 294 nursing homes. In facility fixed effects analyses, we found that night-shift staff had the lowest testing rates and lowest odds of vaccination, whereas day-shift staff had the highest testing rates and odds of vaccination. These findings highlight the need to coordinate resources and communication evenly across shifts when implementing large-scale processes in nursing homes and other organizations with shift-based workforces.

Relationship between Claims-Based Frailty Index and Eye Care Utilization among Medicare Beneficiaries with Glaucoma.

PURPOSE: To determine differences in eye care utilization by frailty levels among Medicare beneficiaries with glaucoma. DESIGN: Retrospective cohort study. PARTICIPANTS: Medicare fee-for-service beneficiaries over 65 years of age with glaucoma, identified using International Classification of Diseases codes before July 1, 2014. METHODS: By using a validated claims-based frailty index (range, 0-1), beneficiaries were classified as nonfrail/prefrail (0-0.19), mildly frail (0.20-0.29), and moderate-to-severely frail (≥ 0.30). Negative binomial regression analyses were used to estimate incident rate ratios (IRRs) of eye care utilization by frailty levels between July 1, 2014, and December 31, 2016. MAIN OUTCOME MEASURES: Current Procedural Terminology codes for eye examinations and eye care-related office visits; eye care-related inpatient and emergency department (ED) encounters; eye care-related nursing facility and home-visit encounters; visual field (VF) and retinal nerve fiber layer (RNFL) OCT tests; and selective laser trabeculoplasties (SLTs) and glaucoma surgeries. RESULTS: Among 76 260 Medicare beneficiaries with glaucoma, the mean age was 78.9 years (standard deviation, 7.8), female beneficiaries constituted 60.5%, and 78.7% of beneficiaries self-identified as non-Hispanic White. According to a claims-based frailty index, 79.5% of beneficiaries were nonfrail/prefrail, 17.1% were mildly frail, and 3.4% were moderate-to-severely frail. Moderate-to-severely frail beneficiaries were less likely than nonfrail/prefrail beneficiaries to have outpatient encounters (IRR, 0.85, 95% confidence interval [CI], 0.83-0.88); VF tests (IRR, 0.64, 95% CI, 0.60-0.67); RNFL OCT tests (IRR, 0.77, 95% CI, 0.73-0.81); SLT (IRR, 0.74, 95% CI, 0.60-0.92); and glaucoma surgery (IRR, 0.74, 95% CI 0.55-0.99), after adjusting for age, gender, glaucoma severity, race, and socioeconomic status. Compared with nonfrail/prefrail beneficiaries, moderate-to-severely frail beneficiaries had higher rates of inpatient/ED encounters (IRR, 5.03, 95% CI, 2.36-10.71) and nursing facility/home-visit encounters (IRR, 34.89, 95% CI, 14.82-82.13). CONCLUSIONS: Compared with nonfrail/prefrail Medicare beneficiaries with glaucoma, beneficiaries with moderate-to-severe frailty had lower rates of eye care utilization in the outpatient setting and higher rates of utilization in acute care settings. This suggests that frail patients may receive less disease monitoring and fewer interventions for their glaucoma management. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

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.

Osteoporosis Medications Prevent Subsequent Fracture in Frail Older Adults.

Frailty is common in older adults with fractures. Osteoporosis medications reduce subsequent fracture, but limited data exist on medication efficacy in frail individuals. Our objective was to determine whether medications reduce the risk of subsequent fracture in frail, older adults. A retrospective cohort of Medicare fee-for-service beneficiaries was conducted (2014-2016). We included adults aged ≥65 years who were hospitalized with fractures without osteoporosis treatment. Pre-fracture frailty was defined using claims-based frailty index (≥0.2 = frail). Exposure to any osteoporosis treatment (oral or intravenous bisphosphonates, denosumab, and teriparatide) was ascertained using Part B and D claims and categorized according to the cumulative duration of exposure: none, 1-90 days, and >90 days. Subsequent fractures were ascertained from Part A or B claims. Cause-specific hazard models with time-varying exposure were fit to examine the association between treatment and fracture outcomes, controlling for relevant covariates. Among 29,904 patients hospitalized with fractures, 15,345 (51.3%) were frail, and 2148 (7.2%) received osteoporosis treatment (median treatment duration 183.0 days). Patients who received treatment were younger (80.2 versus 82.2 years), female (86.5% versus 73.0%), and less frail (0.20 versus 0.22) than patients without treatment. During follow-up, 5079 (17.0%) patients experienced a subsequent fracture. Treatment with osteoporosis medications for >90 days compared with no treatment reduced the risk of fracture (hazard ratio [HR] = 0.82; 95% confidence interval [CI] 0.68-1.00) overall. Results were similar in frail (HR = 0.85; 95% CI 0.65-1.12) and non-frail (HR = 0.80; 95% CI 0.61-1.04) patients but not significant. In conclusion, osteoporosis treatment >90 days was associated with similar trends in reduced risk of subsequent fracture in frail and non-frail persons. Treatment rates were very low, particularly among the frail. When weighing treatment options in frail older adults with hospitalized fractures, clinicians should be aware that drug therapy does not appear to lose its efficacy. © 2022 American Society for Bone and Mineral Research (ASBMR).

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.

Geriatric Conditions Associated with Nonadherence to Antiretroviral Therapy Among Older People with HIV: The Importance of Frailty.

Poor compliance with medications is a growing concern in geriatric care and is increasingly more relevant among people living with HIV (PLWH) as they age. Our goal was to understand geriatric conditions associated with antiretroviral therapy (ART) nonadherence in a Medicare population of older PLWH. We analyzed Medicare data from PLWH aged 50 years or older who were continuously enrolled in fee-for-service Medicare from January 1, 2014 to June 30, 2015. Prevalent geriatric conditions (dementia, depression, falls, hip fracture, sensory deficits, osteoporosis, orthostatic hypotension, urinary incontinence, frailty) were identified in January 1, 2014-December 31, 2014. ART nonadherence was defined as <80% proportion of days covered (PDC) by at least two ART medications in January 1, 2015-June 30, 2015. We examined geriatric condition association with nonadherence using lowest Akaike Information Criterion multi-variate logistic models, controlling for age, sex, race, census region, substance use, Medicaid eligibility, and polypharmacy. Of 8778 PLWH, 23% (n = 2042) had <80% PDC. The average age was 60 years (standard deviation ±8), and >70% were males. In adjusted models, age was not associated with nonadherence, frailty status was the only geriatric condition associated with nonadherence [robust: reference, prefrail odds ratio (OR): 0.97, confidence interval (95% CI) 0.86-1.10, frail OR: 1.34 95% CI 1.11-1.61], and odds of nonadherence were lower for polypharmacy [OR: 0.48 (0.43-0.54)]. Our findings suggest that patient-centered care plans aimed at improving ART adherence among older PLWH would benefit from long-term surveillance; a deeper understanding of the role of frailty and polypharmacy, even at chronologically younger ages in PLWH.

Categorizing Comorbid Risk for People Living With HIV: A Latent Profile Analysis.

BACKGROUND: Categorizing clinical risk amidst heterogeneous multimorbidity in older people living with HIV/AIDS (PLWH) may help prioritize and optimize health care engagements. METHODS: PLWH and their prevalent conditions in 8 health domains diagnosed before January 1, 2015 were identified using 2014-2016 Medicare claims and the Chronic Conditions Data Warehouse. Latent profile analysis identified 4 distinct clinical subgroups based on the likelihood of conditions occurring together [G1: healthy, G2: substance use (SU), G3: pulmonary (PULM), G4: cardiovascular conditions (CV)]. Restricted mean survival time regression estimated the association of each subgroup with the 365 day mean event-free days until death, first hospitalization, and nursing home admission. Zero-inflated Poisson regression estimated hospitalization frequency in 2-year follow-up. RESULTS: Of 11,196 older PLWH, 71% were male, and the average age was 61 (SD 9.2) years. Compared with healthy group, SU group had a mean of 30 [95% confidence interval: (19.0 to 40.5)], PULM group had a mean of 28 (22.1 to 34.5), and CV group had a mean of 22 (15.0 to 22.0) fewer hospitalization-free days over 1 year. Compared with healthy group (2.8 deaths/100 person-years), CV group (8.4) had a mean of 4 (3.8 to 6.8) and PULM group (7.9) had a mean of 3 (0.7 to 5.5) fewer days alive; SU group (6.0) was not different. There was no difference in restricted mean survival time for nursing home admission. Compared with healthy group, SU group had 1.42-fold [95% confidence interval: (1.32 to 1.54)], PULM group had 1.71-fold (1.61 to 1.81), and CV group had 1.28-fold (1.20 to 1.37) higher rates of hospitalization. CONCLUSION: Identifying clinically distinct subgroups with latent profile analysis may be useful to identify targets for interventions and health care optimization in older PLWH.

Racial and Socioeconomic Differences in Eye Care Utilization among Medicare Beneficiaries with Glaucoma.

PURPOSE: Evaluate differences in eye care utilization among patients with glaucoma by race and socioeconomic status (SES). DESIGN: Retrospective cohort study. PARTICIPANTS: Representative 5% sample of Medicare beneficiaries aged > 65 years with continuous part A/B enrollment between January 1, 2014, and July 1, 2014, at least 1 diagnosis code for glaucoma within that period, and a glaucoma diagnosis in the Chronic Conditions Warehouse before January 1, 2014. METHODS: The following race/ethnicity categories were defined in our cohort: non-Hispanic White, Black/African American, Hispanic, and Asian/Pacific Islander. Low SES was defined as having 2 or more enrollment-based low-income indicators (dual eligibility for Medicare/Medicaid, Part D limited income subsidies, and eligibility for Part A and B State buy-in). Negative binomial regression analyses were carried out to compare relative rate ratios (RRs) of eye care utilization among racial groups stratified by low and non-low SES. MAIN OUTCOME MEASURES: Measured from July 1, 2014, to December 31, 2016: eye examinations and eye care-related office visits; eye care-related inpatient and emergency department (ED) encounters; eye care-related nursing home and home-visit encounters; visual field and retinal nerve fiber OCT tests; glaucoma lasers and surgeries. RESULTS: Among 78 526 participants with glaucoma, mean age was 79.1 years (standard deviation, 7.9 years), 60.9% were female, 78.4% were non-Hispanic White, and 13.8% met enrollment-based criteria for low-SES. Compared with White beneficiaries, Blacks had lower counts of outpatient visits (RR, 0.92; 95% confidence interval [CI], 0.90-0.93), visual field (VF) tests (RR, 0.92; 95% CI, 0.90-0.94), but more inpatient/ED encounters (RR, 2.42; 95% CI, 1.55-3.78) and surgeries (RR, 1.14; 95% CI, 1.03-1.27). Hispanics had fewer outpatient visits (RR, 0.97; 95% CI, 0.95-0.98) and retinal nerve fiber layer (RNFL) OCT tests (RR, 0.89; 95% CI, 0.86-0.93), but more inpatient/ED encounters (RR, 2.32; 95% CI, 1.18-4.57) and selective laser trabeculoplasty (SLT) (RR, 1.25; 95% CI, 1.11-1.42) versus non-Hispanic Whites. In the non-low SES group, Black versus White disparities persisted in outpatient visits (RR, 0.93; 95% CI, 0.92-0.95), VF (RR, 0.96; 95% CI, 0.94-0.98), RNFL OCT (RR, 0.81; 95% CI, 0.78-0.83), and inpatient/ED encounters (RR, 2.57; 95% CI, 1.55-4.26). CONCLUSIONS: Disparities were found in eye care utilization among Black and Hispanic patients with glaucoma. These differences persisted among Blacks after stratification by SES, suggesting that systemic racism may be an independent driver in this population.

The Aging Study of Pyeongchang Rural Area (ASPRA): Findings and Perspectives for Human Aging, Frailty, and Disability.

The Aging Study of Pyeongchang Rural Area (ASPRA) is a population-based, prospective cohort study of older adults in Pyeongchang, South Korea. Since the initial enrollment of 382 participants, the ASPRA has been maintained and has conducted comprehensive geriatric assessments annually, gradually expanding its population and coverage area. As a cohort study of aging-related conditions and their functional consequences, the ASPRA leveraged Pyeongchang's relatively low annual population movement rate and its healthcare delivery system, which was largely maintained by community health posts. Since its establishment, the ASPRA has reported numerous observational and multicomponent intervention studies on functional decline, geriatric syndrome, and frailty. Here, we discuss the findings and perspectives of ASPRA studies. We hope that the ASPRA enables the further implementation of a longitudinal study design on geriatric parameters and the development of public health strategies targeting aging-related conditions, especially in resource-limited community settings.

Long-term effect of a 24-week multicomponent intervention on physical performance and frailty in community-dwelling older adults.

INTRODUCTION: Multicomponent interventions improve physical function and frailty in older adults, but their long-term benefit remains uncertain. METHODS: This prospective non-randomised study was conducted in 383 older Koreans (mean age, 76.8 years; female 72.3%) who were living alone or receiving medical aid. Of these, 187 individuals chose to receive a 24-week intervention that consisted of group exercise, nutritional supplements, depression management, deprescribing and home hazard reduction. The remaining 196 individuals received usual care. We compared the short physical performance battery (SPPB) score (0-12 points), frailty phenotype scale (0-5 points) and deficit-accumulation frailty index (0-1) at baseline, 6, 18 and 30 months. RESULTS: After 1:1 propensity score matching (n = 117 per group), the mean SPPB scores for the intervention and comparison groups were 7.6 versus 7.6 at baseline, 10.7 versus 7.1 at 6 months (mean difference, 3.5; 95% confidence interval [CI], 2.8-4.2), 9.1 versus 7.8 at 18 months (1.3; 95% CI, 0.6-2.0) and 8.6 versus 7.5 at 30 months (1.1; 95% CI, 0.4-1.8). The intervention group had lower frailty phenotype scale (1.1 versus 1.8; difference, -0.7; 95% CI -1.0 to -0.3) and frailty index (0.22 versus 0.27; difference, -0.04; -0.06 to -0.02) at 6 months, but similar scores at 18 and 30 months. The 30-month mean institutionalisation-free survival time was 28.5 months in the intervention group versus 23.3 months in the comparison group (difference, 5.2 months; 95% CI, 3.1-7.4). CONCLUSIONS: The 24-week multicomponent intervention showed sustained improvement in physical function, temporary reduction in frailty and longer institutionalisation-free survival over 30 months.

Multicomponent Intervention and Long-Term Disability in Older Adults: A Nonrandomized Prospective Study.

BACKGROUND/OBJECTIVES: To evaluate the long-term association between a multicomponent intervention program and disability in socioeconomically vulnerable older adults. DESIGN: This was a nonrandomized prospective intervention trial. SETTING: The setting was a community. PARTICIPANTS: Participants included older Koreans living alone or receiving government assistance from a low-income program. INTERVENTION: The intervention was a 24-week multicomponent program compromising group exercise, nutritional supplementation, management of depression, deprescribing, and home hazard reduction (n = 187) versus usual care (n = 196). MEASUREMENTS: The number of dependencies in 17 basic and instrumental activities of daily living was measured every 3 months for 30 months (range: 0-17; greater values indicated worse disability). Inverse probability weighting Poisson regression was used to model the number of dependencies to adjust for confounding bias and higher dropout rates of those with greater disability. RESULTS: The study population had a mean age of 76 years, and 26% were men. During the 30-month follow up, 17 died (n = 8, intervention; n = 9, control), 62 (n = 16, intervention; n = 46, control) were institutionalized or received nursing home care, and 34 (n = 15, intervention; n = 19, control) were lost to follow up. After inverse probability weighting, the mean number of dependencies at baseline was 1.21 and 1.29 for the intervention group and the control group, respectively (P = .80). The intervention group had fewer dependencies than the control group, but the difference was attenuated over time: 1.08 versus 1.60 at 6 months (P = .04), 1.29 versus 1.87 at 12 months (P = .03), 1.62 versus 2.17 at 18 months (P = .06), 2.08 versus 2.51 at 24 months (P = .18), and 2.73 versus 2.90 at 30 months (P = .67). CONCLUSION: A 24-week multicomponent intervention was associated with a slower progression of disability; however, the diminishing association from 24 months and beyond suggests that reassessment and intervention may be necessary. Due to a lack of randomization, our findings should be interpreted with caution.

Discrepancies in Demand of Internet of Things Services Among Older People and People With Disabilities, Their Caregivers, and Health Care Providers: Face-to-Face Survey Study.

BACKGROUND: Home Internet of Things (IoT) services and devices have the potential to aid older adults and people with disabilities in their living environments. IoT services and devices can also aid caregivers and health care providers in conveniently providing care to those in need. However, real-world data on the IoT needs of vulnerable people are lacking. OBJECTIVE: The objective of this study is to conduct a face-to-face survey on the demand for IoT services among older people and people with disabilities, their caregivers, and health care providers in a real-world setting and to see if there are any differences in the aspects of need. METHODS: We conducted a face-to-face survey with 500 participants between January 2019 and March 2019. A total of 300 vulnerable people (200 older adults aged ≥65 years and 100 physically disabled people aged 30-64 years) were randomly sampled from either a population-based, prospective cohort study of aging-the Aging Study of Pyeongchang Rural Area (ASPRA)-or from the outpatient clinics at the Asan Medical Center, Seoul, South Korea. Simultaneously, their caregivers (n=150) and health care providers (n=50) participated in the survey. Detailed socioeconomic status, digital literacy, health and physical function, and home IoT service needs were determined. Among all commercially available IoT services, 27 services were classified into five categories: emergency and security, safety, health care, convenience (information), and convenience (operation). The weighted-ranking method was used to rank the IoT needs in different groups. RESULTS: There were discrepancies in the demand of IoT services among the vulnerable groups, their caregivers, and health care providers. The home IoT service category that was required the most by the vulnerable groups and their caregivers was emergency and security. However, health care providers indicated that the safety category was most needed by the older adults and disabled people. Home IoT service requirements differed according to the different types of disabilities among the vulnerable groups. Participants with fewer disabilities were more willing to use IoT services than those with more disabilities. CONCLUSIONS: Our survey study shows that there were discrepancies in the demand of IoT services among the vulnerable groups, their caregivers, and health care providers. IoT service requirements differed according to the various types of disabilities. Home IoT technology should be established by combining patients' priorities and individualized functional assessments among vulnerable people. TRIAL REGISTRATION: Clinical Research Information Service (CRIS; KCT0004157); https://tinyurl.com/r83eyva.

Three-dimensional graphene oxide nanostructure for fast and efficient water-soluble dye removal.

In this study, we demonstrated the potential of graphene nanomaterials as environmental pollutant adsorbents by utilizing the characteristics of ultralarge surface area and strong π-π interaction on the surface. We generated a three-dimensional (3D) graphene oxide sponge (GO sponge) from a GO suspension through a simple centrifugal vacuum evaporation method, and used them to remove both the methylene blue (MB) and methyl violet (MV) dyes which are main contaminants from the dye manufacturing and textile finishing. The efficiency and speed of dye adsorption on a GO sponge was investigated under various parameters such as contact time, stirring speed, temperature, and pH. The adsorption process shows that 99.1% of MB and 98.8% of MV have been removed and the equilibrium status has been reached in 2 min. The 3D GO sponge displays adsorption capacity as high as 397 and 467 mg g(-1) for MB and MV dye, respectively, and the kinetic data reveal that the adsorption process of MB and MV dyes is well-matched with the pseudo second-order model. The MB and MV adsorption on the 3D GO sponge involved in endothermic chemical adsorption through the strong π-π stacking and anion-cation interaction with the activation energy of 50.3 and 70.9 kJ mol(-1), respectively. The 3D GO sponge has demonstrated its high capability as an organic dye scavenger with high speed and efficiency.