Cargando…

Potentially Harmful Medication Use and Decline in Health-Related Quality of Life among Community-Dwelling Older Adults

BACKGROUND: Several scales to quantify the impact of potentially harmful medications (PHMs) have been shown to predict mortality and functional decline; however, the effect of PHMs on quality of life (QoL) has not been well-studied. OBJECTIVE: The aims of this study were to investigate an associatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Ie, Kenya, Chou, Eric, Boyce, Richard D., Albert, Steven M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684052/
https://www.ncbi.nlm.nih.gov/pubmed/29119486
http://dx.doi.org/10.1007/s40801-017-0123-8
Descripción
Sumario:BACKGROUND: Several scales to quantify the impact of potentially harmful medications (PHMs) have been shown to predict mortality and functional decline; however, the effect of PHMs on quality of life (QoL) has not been well-studied. OBJECTIVE: The aims of this study were to investigate an association between PHM use and change in health-related QoL among community-dwelling older adults, and to compare the predictive capacity of PHM scales. METHODS: We conducted a retrospective cohort study using prescription claims data and survey responses. A total of 426 community-dwelling adults aged 65 years or older who visited senior centers and had received prescriptions through a statewide prescription drug subsidy program were included. Anticholinergic Cognitive Burden (ACB), Drug Burden Index-sedative component (DBI-Se), Drug Burden Index-anticholinergic component (DBI-ACh), and the number of regular medications and Beers list medications were calculated from the claims data between baseline and 12 months. In addition, change in the EuroQoL five-dimensions questionnaire (EQ-5D) between baseline and 6- and 12-month follow-up were measured as the main outcome. A linear mixed model was used for the analysis. RESULTS: After adjusting for covariates, both DBI-Se (coefficients − 0.076, 95% confidence interval [CI] − 0.131 to − 0.020) and DBI-Ach (coefficients − 0.095, 95% CI − 0.188 to − 0.002) significantly predicted a decline in EQ-5D index. The ACB, number of regular medications, and number of Beers medications did not have a significant association with EQ-5D changes. CONCLUSIONS: PHM measures incorporating dose revealed a better predictive capacity for QoL change. Reducing cumulative drug dose, as well as stopping medications, would be important for the well-being of this population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40801-017-0123-8) contains supplementary material, which is available to authorized users.