A crosswalk of commonly used frailty scales.

BACKGROUND: Several validated scales have been developed to measure frailty, yet the direct relationship between these measures and their scores remains unknown. To bridge this gap, we created a crosswalk of the most commonly used frailty scales. METHODS: We used data from 7070 community-dwelling older adults who participated in National Health and Aging Trends Study (NHATS) Round 5 to construct a crosswalk among frailty scales. We operationalized the Study of Osteoporotic Fracture Index (SOF), FRAIL Scale, Frailty Phenotype, Clinical Frailty Scale (CFS), Vulnerable Elder Survey-13 (VES-13), Tilburg Frailty Indictor (TFI), Groningen Frailty Indicator (GFI), Edmonton Frailty Scale (EFS), and 40-item Frailty Index (FI). A crosswalk between FI and the frailty scales was created using the equipercentile linking method, a statistical procedure that produces equivalent scoring between scales according to percentile distributions. To demonstrate its validity, we determined the 4-year mortality risk across all scales for low-risk (equivalent to FI <0.20), moderate-risk (FI 0.20 to <0.40), and high-risk (FI ≥0.40) categories. RESULTS: Using NHATS, the feasibility of calculating frailty scores was at least 90% for all nine scales, with the FI having the highest number of calculable scores. Participants considered frail on FI (cutpoint of 0.25) corresponded to the following scores on each frailty measure: SOF 1.3, FRAIL 1.7, Phenotype 1.7, CFS 5.3, VES-13 5.5, TFI 4.4, GFI 4.8, and EFS 5.8. Conversely, individuals considered frail according to the cutpoint of each frailty measure corresponded to the following FI scores: 0.37 for SOF, 0.40 for FRAIL, 0.42 for Phenotype, 0.21 for CFS, 0.16 for VES-13, 0.28 for TFI, 0.21 for GFI, and 0.37 for EFS. Across frailty scales, the 4-year mortality risks between the same categories were similar in magnitude. CONCLUSION: Our results provide clinicians and researchers with a useful tool to directly compare and interpret frailty scores across scales.

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.

Rural-Urban Differences in Cognition: Findings From the Advanced Cognitive Training for Independent and Vital Elderly Trial.

ObjectivesWe examined associations between three geographic areas (urban, suburban, rural) and cognition (memory, reasoning, processing speed) over a 10-year period. Methods: Data were obtained from 2539 participants in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) trial. Multilevel, mixed-effects linear regression was used to estimate cognitive trajectories by geographical areas over 10 years, after adjusting for social determinants of health. Results: Compared to urban and suburban participants, rural participants fared worse on all cognitive measures-memory (B = -1.17 (0.17)), reasoning (B = -1.55 (0.19)), and processing speed (B = 0.76 (0.19)) across the 10-year trajectory. Across geographic areas, greater economic stability, health care access and quality, and neighborhood resources were associated with better cognition over time. Discussion: Findings highlight the importance of geographical location when examining cognition later in life. More research examining place-based life experiences is needed to make the greatest impact on geographically diverse communities.

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.

The Influence of Evidence-Based Exercise and Age Reattribution on Physical Function in Hispanic Older Adults: Results From the ¡Caminemos! Randomized Controlled Trial.

Older Hispanics routinely exhibit unhealthy beliefs about "normal" aging trajectories, particularly related to exercise and physical function. We evaluated the prospective effects of age reattribution on physical function in older Hispanics. Participants (n = 565, ≥60 years) were randomly assigned into (a) treatment group-attribution-retraining, or (b) control group-health education. Each group separately engaged in four weekly 1-hr group discussions and 1-hr exercise classes, followed by monthly maintenance sessions. The Short Physical Performance Battery (SPPB) measured physical function throughout the 24-month intervention. No significant difference in physical function between intervention arms was evident over time. However, both groups experienced significant improvements in physical function at 24 months (ß = 0.43, 95% confidence interval [CI] = [0.16, 0.70]). Participating in the exercise intervention was associated with improvements in physical function, although no additional gains were apparent for age attribution-retraining. Future research should consider strengthening or modifying intervention content for age reattribution or dosage received.

Factors associated with use of assistive walking devices among older adults in Brazil / Fatores associados ao uso de tecnologia assistiva para auxiliar na mobilidade entre idosos no Brasil

Abstract Background Walking devices and other forms of assistive technology (AT) can benefit older adults by supporting mobility and social interactions, but usage outside of high-income countries is generally low. Objective To examine the factors associated with AT use and whether AT use is associated with higher levels of social participation among older adults in Brazil. Method The 2013 Brazilian National Health Survey interviewed 23,815 individuals 60 years or older. Descriptive and logistic regression analyses were used to examine AT use, including canes and walkers, to assist with walking and social participation. Results Among older adults with mobility difficulty, 34.0% (95% CI 31.2- 36.9) reported using AT. Prevalence of the use of AT for walking increases with age: 21.4% of those 60-69 years reported using AT while 58.5% of those 90 years or older did. AT was negatively associated with participation in social activities. Conclusion Our analyses focused on older adults with mobility limitations who need appropriate transportation and environment adaptations to engage socially. Contrary to studies in more developed countries, among Brazilians, AT use is negatively associated with social interactions. The resulting confinement seems to lead to social isolation.

Resumo Introdução Os dispositivos de tecnologia assistiva (TA) podem ajudar idosos na mobilidade e nas interações sociais, mas o uso fora de países de alta renda é geralmente baixo. Objetivo Analisar os fatores associados ao uso de TA e se o uso de TA está associado a níveis mais elevados de participação social entre idosos no Brasil. Método A Pesquisa Nacional de Saúde - PNS 2013 no Brasil entrevistou 23.815 indivíduos com 60 anos ou mais. Análises descritivas e de regressão logística foram utilizadas para examinar a utilização de TA para auxiliar na mobilidade e participação social. Resultados Entre idosos com dificuldade de locomoção, 34,0% (95% IC 31,2-36,9) relataram uso de TA. A prevalência do uso de TA para se locomover aumenta com a idade: 21,4% dos 60-69 anos relataram usar TA enquanto a proporção aumenta para 58,5% entre os de 90 anos ou mais. Uso de TA está negativamente associado à participação em atividades sociais. Conclusão Entre idosos no Brasil com limitações de mobilidade que necessitam de adaptações adequadas de transporte e meio ambiente para engajar socialmente, o uso de TA foi associado negativamente às interações sociais. Esse resultado difere de estudos em países mais desenvolvidos.