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Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach

To identify determinants of medication adherence among patients with type 2 diabetes based on the health action process approach. This cross-sectional study was conducted among 734 patients with type 2 diabetes attending to south Tehran health centers during June to December 2018. Data were gathered...

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Autores principales: Ranjbaran, Soheila, Shojaeizadeh, Davoud, Dehdari, Tahereh, Yaseri, Mehdi, Shakibazadeh, Elham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364035/
https://www.ncbi.nlm.nih.gov/pubmed/32695914
http://dx.doi.org/10.1016/j.heliyon.2020.e04442
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author Ranjbaran, Soheila
Shojaeizadeh, Davoud
Dehdari, Tahereh
Yaseri, Mehdi
Shakibazadeh, Elham
author_facet Ranjbaran, Soheila
Shojaeizadeh, Davoud
Dehdari, Tahereh
Yaseri, Mehdi
Shakibazadeh, Elham
author_sort Ranjbaran, Soheila
collection PubMed
description To identify determinants of medication adherence among patients with type 2 diabetes based on the health action process approach. This cross-sectional study was conducted among 734 patients with type 2 diabetes attending to south Tehran health centers during June to December 2018. Data were gathered using the Morisky Medication Adherence Scale (MMAS-8-Item) and the health action process approach questionnaire. We used Mann-Whitney, Pearson Chi-Squared, Fisher's Exact and Independent Samples Tests for comparison of adherence medication by demographic characteristics; and linear regression analysis to predict factors related to medication adherence based on HAPA. P-value less than 0.05 considered statistically significant. A total of 232 men and 502 women participated in the study, Mean age was 61.61 ± 9.74. Most participants (82.3%) reported low medication adherence (females: 68.4%). Medication adherence was significantly associated with gender (p = 0.03). Medication adherence was significantly predicted by intention (β = 0.172, p = 0.0001), task self-efficacy (β = 0.172, p = 0.01), copping planning (β = 0.6, p = 0.0001) and copping self-efficacy (β = -0.244, p = 0.001). The level of adherence to medications among type 2 diabetes patients was low. The behavior intention, task self-efficacy, copping planning and copping self-efficacy were significant determinants contributed to the medication adherence. HAPA inventory includes various factors, especially types of self-efficacy. Thus, utilization of this comprehensive model in interventional studies is suggested. These determinants should be considered in developing interventional programs to improve adherence.
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spelling pubmed-73640352020-07-20 Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach Ranjbaran, Soheila Shojaeizadeh, Davoud Dehdari, Tahereh Yaseri, Mehdi Shakibazadeh, Elham Heliyon Article To identify determinants of medication adherence among patients with type 2 diabetes based on the health action process approach. This cross-sectional study was conducted among 734 patients with type 2 diabetes attending to south Tehran health centers during June to December 2018. Data were gathered using the Morisky Medication Adherence Scale (MMAS-8-Item) and the health action process approach questionnaire. We used Mann-Whitney, Pearson Chi-Squared, Fisher's Exact and Independent Samples Tests for comparison of adherence medication by demographic characteristics; and linear regression analysis to predict factors related to medication adherence based on HAPA. P-value less than 0.05 considered statistically significant. A total of 232 men and 502 women participated in the study, Mean age was 61.61 ± 9.74. Most participants (82.3%) reported low medication adherence (females: 68.4%). Medication adherence was significantly associated with gender (p = 0.03). Medication adherence was significantly predicted by intention (β = 0.172, p = 0.0001), task self-efficacy (β = 0.172, p = 0.01), copping planning (β = 0.6, p = 0.0001) and copping self-efficacy (β = -0.244, p = 0.001). The level of adherence to medications among type 2 diabetes patients was low. The behavior intention, task self-efficacy, copping planning and copping self-efficacy were significant determinants contributed to the medication adherence. HAPA inventory includes various factors, especially types of self-efficacy. Thus, utilization of this comprehensive model in interventional studies is suggested. These determinants should be considered in developing interventional programs to improve adherence. Elsevier 2020-07-14 /pmc/articles/PMC7364035/ /pubmed/32695914 http://dx.doi.org/10.1016/j.heliyon.2020.e04442 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ranjbaran, Soheila
Shojaeizadeh, Davoud
Dehdari, Tahereh
Yaseri, Mehdi
Shakibazadeh, Elham
Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach
title Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach
title_full Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach
title_fullStr Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach
title_full_unstemmed Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach
title_short Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach
title_sort determinants of medication adherence among iranian patients with type 2 diabetes: an application of health action process approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364035/
https://www.ncbi.nlm.nih.gov/pubmed/32695914
http://dx.doi.org/10.1016/j.heliyon.2020.e04442
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