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Patient Activation and Glycemic Control Among Filipino Americans

Purpose: Increasing patient activation facilitates self-management of health, improves health outcomes, and lowers health care expenditures. Extant research notes mixed findings in patient activation by race/ethnicity. The purpose of the study was to examine the relationships among patient activatio...

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Detalles Bibliográficos
Autores principales: Milo, Razel B., Ramira, Arlin, Calero, Patricia, Georges, Jane M., Pérez, Alexa, Connelly, Cynthia D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080926/
https://www.ncbi.nlm.nih.gov/pubmed/33937600
http://dx.doi.org/10.1089/heq.2020.0075
Descripción
Sumario:Purpose: Increasing patient activation facilitates self-management of health, improves health outcomes, and lowers health care expenditures. Extant research notes mixed findings in patient activation by race/ethnicity. The purpose of the study was to examine the relationships among patient activation, select patient characteristics, and glycemic control among Filipino Americans. Methods: A cross-sectional study was conducted with a convenience sample of Filipino Americans (n=191), with a diagnosis of diabetes mellitus type 1 or type 2, recruited from a southern California adult primary care clinic between December 2017 and March 2018. Patient activation, select characteristics, and hemoglobin A1c (HbA1c) levels were assessed. Bivariate and logistic regression analyses were used to identify correlates of glycemic control. The Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist was used to develop the study. Results: Participants with HgbA(1)C≤7.0% reported statistically higher patient activation measure (13 items) (PAM-13) natural log score (mean [M]=60.32, standard deviation [SD]=13.50) compared to those with an HgbA(1)C>7.0%, M=52.58, SD=10.19, F(1)=11.05, p<0.001. Multivariate logistic regression using age, low-density lipoprotein, and PAM-13 natural log was statistically reliable distinguishing between A(1)C≤7.0 and A(1)C>7.0, −2 LogLikehood=1183.23, χ(2)(3)=15.44, p<0.001. Conclusions: Patient activation is an important factor in supporting glycemic control. Findings support interventions to target patient activation. Providers are encouraged to use racial/ethnic-centered engagement strategies in resolving health disparity with racial and ethnic minorities to facilitate patient activation and improve health outcomes in patients with diabetes.