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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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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
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author Milo, Razel B.
Ramira, Arlin
Calero, Patricia
Georges, Jane M.
Pérez, Alexa
Connelly, Cynthia D.
author_facet Milo, Razel B.
Ramira, Arlin
Calero, Patricia
Georges, Jane M.
Pérez, Alexa
Connelly, Cynthia D.
author_sort Milo, Razel B.
collection PubMed
description 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.
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spelling pubmed-80809262021-04-29 Patient Activation and Glycemic Control Among Filipino Americans Milo, Razel B. Ramira, Arlin Calero, Patricia Georges, Jane M. Pérez, Alexa Connelly, Cynthia D. Health Equity Original Research 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. Mary Ann Liebert, Inc., publishers 2021-04-05 /pmc/articles/PMC8080926/ /pubmed/33937600 http://dx.doi.org/10.1089/heq.2020.0075 Text en © Razel B. Milo et al., 2021; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Milo, Razel B.
Ramira, Arlin
Calero, Patricia
Georges, Jane M.
Pérez, Alexa
Connelly, Cynthia D.
Patient Activation and Glycemic Control Among Filipino Americans
title Patient Activation and Glycemic Control Among Filipino Americans
title_full Patient Activation and Glycemic Control Among Filipino Americans
title_fullStr Patient Activation and Glycemic Control Among Filipino Americans
title_full_unstemmed Patient Activation and Glycemic Control Among Filipino Americans
title_short Patient Activation and Glycemic Control Among Filipino Americans
title_sort patient activation and glycemic control among filipino americans
topic Original Research
url 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
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