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Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool

BACKGROUND: Globally, adequate asthma control is not yet achieved. The main cause of uncontrollability is nonadherence to prescribed medications. OBJECTIVES: The objective of this study is to assess asthmatic patients' non-adherence to anti-asthmatic medications and the predictors associated wi...

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Autores principales: Demelash, Teshome Bitew, Asmamaw, Getahun, Limenh, Liknaw Workie, Anagaw, Yeniewa Kerie, Simegn, Wudneh, Ayenew, Wondim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161619/
https://www.ncbi.nlm.nih.gov/pubmed/37143111
http://dx.doi.org/10.1186/s40733-023-00091-1
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author Demelash, Teshome Bitew
Asmamaw, Getahun
Limenh, Liknaw Workie
Anagaw, Yeniewa Kerie
Simegn, Wudneh
Ayenew, Wondim
author_facet Demelash, Teshome Bitew
Asmamaw, Getahun
Limenh, Liknaw Workie
Anagaw, Yeniewa Kerie
Simegn, Wudneh
Ayenew, Wondim
author_sort Demelash, Teshome Bitew
collection PubMed
description BACKGROUND: Globally, adequate asthma control is not yet achieved. The main cause of uncontrollability is nonadherence to prescribed medications. OBJECTIVES: The objective of this study is to assess asthmatic patients' non-adherence to anti-asthmatic medications and the predictors associated with non-adherence. METHODS: An institution-based cross-sectional study was conducted in three governmental hospitals in Bahir Dar city from September 5 to December 12, 2021. The data was collected using the Adherence Starts with Knowledge-12 tool (ASK-12). Systematic random sampling was applied to select study participants. Bivariable and multivariable logistic regression analyses were used to identify predictors of non-adherence. All statistical tests were analyzed using STATA version 16. P-values less than 0.05 were considered statistically significant. RESULTS: A total of 422 asthmatic patients were included in the study. Most of the study participants (55.4%) did not adhere to their prescribed anti-asthmatic medicines. The educational status of the study participants (AOR = 0.03, 95% CI = 0.00–0.05), family history of asthma (AOR = 0.13, 95% CI = 0.04–0.21), and disease duration that the patients were living with (AOR = 0.01, 95% CI = 0.00–0.01) were the predictors of non-adherence to anti-asthmatic medications. CONCLUSIONS: The level of nonadherence to treatment among patients with asthma was high. Religion, educational status of study participants, family history of asthma, and duration of the disease were the predictors of non-adherence of asthmatic patients to their antiasthmatic medications. Therefore, the Ministry of health, health policy makers, clinicians, and other healthcare providers should pay attention to strengthening the adherence level to antiasthmatic medications, and country-based interventions should be developed to reduce the burden of non-adherence to anti-asthmatic medications.
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spelling pubmed-101616192023-05-06 Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool Demelash, Teshome Bitew Asmamaw, Getahun Limenh, Liknaw Workie Anagaw, Yeniewa Kerie Simegn, Wudneh Ayenew, Wondim Asthma Res Pract Research BACKGROUND: Globally, adequate asthma control is not yet achieved. The main cause of uncontrollability is nonadherence to prescribed medications. OBJECTIVES: The objective of this study is to assess asthmatic patients' non-adherence to anti-asthmatic medications and the predictors associated with non-adherence. METHODS: An institution-based cross-sectional study was conducted in three governmental hospitals in Bahir Dar city from September 5 to December 12, 2021. The data was collected using the Adherence Starts with Knowledge-12 tool (ASK-12). Systematic random sampling was applied to select study participants. Bivariable and multivariable logistic regression analyses were used to identify predictors of non-adherence. All statistical tests were analyzed using STATA version 16. P-values less than 0.05 were considered statistically significant. RESULTS: A total of 422 asthmatic patients were included in the study. Most of the study participants (55.4%) did not adhere to their prescribed anti-asthmatic medicines. The educational status of the study participants (AOR = 0.03, 95% CI = 0.00–0.05), family history of asthma (AOR = 0.13, 95% CI = 0.04–0.21), and disease duration that the patients were living with (AOR = 0.01, 95% CI = 0.00–0.01) were the predictors of non-adherence to anti-asthmatic medications. CONCLUSIONS: The level of nonadherence to treatment among patients with asthma was high. Religion, educational status of study participants, family history of asthma, and duration of the disease were the predictors of non-adherence of asthmatic patients to their antiasthmatic medications. Therefore, the Ministry of health, health policy makers, clinicians, and other healthcare providers should pay attention to strengthening the adherence level to antiasthmatic medications, and country-based interventions should be developed to reduce the burden of non-adherence to anti-asthmatic medications. BioMed Central 2023-05-04 /pmc/articles/PMC10161619/ /pubmed/37143111 http://dx.doi.org/10.1186/s40733-023-00091-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Demelash, Teshome Bitew
Asmamaw, Getahun
Limenh, Liknaw Workie
Anagaw, Yeniewa Kerie
Simegn, Wudneh
Ayenew, Wondim
Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool
title Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool
title_full Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool
title_fullStr Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool
title_full_unstemmed Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool
title_short Nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of Bahir Dar City, North West Ethiopia: using ASK-12 tool
title_sort nonadherence to antiasthmatic medications and its predictors among asthmatic patients in public hospitals of bahir dar city, north west ethiopia: using ask-12 tool
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161619/
https://www.ncbi.nlm.nih.gov/pubmed/37143111
http://dx.doi.org/10.1186/s40733-023-00091-1
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