The Care Dependency of Community-Dwelling Older Adults: A Latent Variable Approach Using Item Response Theory
Alejandra Marroig, Fernando Massa, Janet Trujillo, Graciela Muniz-Terrera, Sofia Domingorena

TL;DR
This study uses a statistical approach to measure care dependency in older adults and finds that women, those with multiple health conditions, and those with less education have higher care needs.
Contribution
A novel latent variable approach using Item Response Theory is applied to assess individual care dependency in older adults.
Findings
Older adults with low and high dependency levels differ in the activities requiring assistance.
Women, individuals with multimorbidity, and those with lower education have higher care dependency.
Socioeconomic and health factors are significantly associated with the degree of care dependency.
Abstract
Older adults living in the community may have functional limitations and require varying levels of assistance to satisfy their care needs. This study aimed to assess the individual degree of care needs in a population-based study of community-dwelling older adults. Using a latent variable approach, we assessed the degree of care dependency and studied its association with socioeconomic and health characteristics. We used data on adults aged 60 years and older from the Uruguayan population-based study Encuesta Longitudinal de Protección Social (ELPS) (N = 5102). To assess care needs, we considered 11 Activities of Daily Living and the self/proxy-reported information about the help needed to perform these activities. Using an Item Response Theory model, we estimated the dependency score (DS) used to measure the degree of care dependency. Then, we applied linear regression models to…
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Taxonomy
TopicsChronic Disease Management Strategies · Health disparities and outcomes · Geriatric Care and Nursing Homes
