Evidence map›Paper›PMID 37143111›Full record

ArticleAsthma research and practice2023

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

Teshome Bitew Demelash, Getahun Asmamaw, Liknaw Workie Limenh, Yeniewa Kerie Anagaw, Wudneh Simegn, Wondim Ayenew

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Article in Asthma research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Teshome Bitew DemelashDepartment of Pharmaceutics and Social Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.
Getahun AsmamawDepartment of Pharmacy, Arba Minch University, Arba Minch, Ethiopia.
Liknaw Workie LimenhDepartment of Pharmaceutics, University of Gondar, Gondar, Ethiopia.
Yeniewa Kerie AnagawDepartment of Pharmaceutical Chemistry, University of Gondar, Gondar, Ethiopia.
Wudneh SimegnDepartment of Social and Administrative Pharmacy, University of Gondar, Gondar, Ethiopia.
Wondim AyenewDepartment of Social and Administrative Pharmacy, University of Gondar, Gondar, Ethiopia. yimesgen20@gmail.com.ORCID http://orcid.org/0000-0001-8504-8430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, adequate asthma control is not yet achieved. The main cause of uncontrollability is nonadherence to prescribed medications.

objectivesThe objective of this study is to assess asthmatic patients' non-adherence to anti-asthmatic medications and the predictors associated with non-adherence.

methodsAn 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.

resultsA 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.

conclusionsThe 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.

Indexed as

AsthmaBahir DarEthiopiaNon-adherence

Identifiers

PMID37143111
PMCPMC10161619

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