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Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model

This study determined noncompliance to antihypertensive therapy (AHT) and its associated factors in a Ghanaian population by using the health belief model (HBM). This descriptive cross-sectional study conducted at Kintampo Municipality in Ghana recruited a total of 678 hypertensive patients. The que...

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Autores principales: Obirikorang, Yaa, Obirikorang, Christian, Acheampong, Emmanuel, Odame Anto, Enoch, Gyamfi, Daniel, Philip Segbefia, Selorm, Opoku Boateng, Michael, Pascal Dapilla, Dari, Brenya, Peter Kojo, Amankwaa, Bright, Adu, Evans Asamoah, Nsenbah Batu, Emmanuel, Gyimah Akwasi, Adjei, Amoah, Beatrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029446/
https://www.ncbi.nlm.nih.gov/pubmed/30018819
http://dx.doi.org/10.1155/2018/4701097
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author Obirikorang, Yaa
Obirikorang, Christian
Acheampong, Emmanuel
Odame Anto, Enoch
Gyamfi, Daniel
Philip Segbefia, Selorm
Opoku Boateng, Michael
Pascal Dapilla, Dari
Brenya, Peter Kojo
Amankwaa, Bright
Adu, Evans Asamoah
Nsenbah Batu, Emmanuel
Gyimah Akwasi, Adjei
Amoah, Beatrice
author_facet Obirikorang, Yaa
Obirikorang, Christian
Acheampong, Emmanuel
Odame Anto, Enoch
Gyamfi, Daniel
Philip Segbefia, Selorm
Opoku Boateng, Michael
Pascal Dapilla, Dari
Brenya, Peter Kojo
Amankwaa, Bright
Adu, Evans Asamoah
Nsenbah Batu, Emmanuel
Gyimah Akwasi, Adjei
Amoah, Beatrice
author_sort Obirikorang, Yaa
collection PubMed
description This study determined noncompliance to antihypertensive therapy (AHT) and its associated factors in a Ghanaian population by using the health belief model (HBM). This descriptive cross-sectional study conducted at Kintampo Municipality in Ghana recruited a total of 678 hypertensive patients. The questionnaire constituted information regarding sociodemographics, a five-Likert type HBM questionnaire, and lifestyle-related factors. The rate of noncompliance to AHT in this study was 58.6%. The mean age (SD) of the participants was 43.5 (±5.2) years and median duration of hypertension was 2 years. Overall, the five HBM constructs explained 31.7% of the variance in noncompliance to AHT with a prediction accuracy of 77.5%, after adjusting for age, gender, and duration of condition. Higher levels of perceived benefits of using medicine [aOR=0.55(0.36-0.82),p=0.0001] and cue to actions [aOR=0.59(0.38-0.90),p=0.0008] were significantly associated with reduced noncompliance while perceived susceptibility [aOR=3.05(2.20-6.25), p<0.0001], perceived barrier [aOR=2.14(1.56-2.92), p<0.0001], and perceived severity [aOR=4.20(2.93-6.00),p<0.0001] were significantly associated with increased noncompliance to AHT. Participant who had completed tertiary education [aOR=0.27(0.17-0.43), p<0.0001] and had regular source of income [aOR=0.52(0.38-0.71), p<0.0001] were less likely to be noncompliant. However, being a government employee [aOR=4.16(1.93-8.96), p=0.0002)] was significantly associated increased noncompliance to AHT. Noncompliance to AHT was considerably high and HBM is generally reliable in assessing treatment noncompliance in the Ghanaian hypertensive patients. The significant predictors of noncompliance to AHT were higher level of perceived barriers, susceptibility, and severity. Intervention programmes could be guided by the association of risk factors, HBM constructs with noncompliance to AHT in clinical practice.
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spelling pubmed-60294462018-07-17 Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model Obirikorang, Yaa Obirikorang, Christian Acheampong, Emmanuel Odame Anto, Enoch Gyamfi, Daniel Philip Segbefia, Selorm Opoku Boateng, Michael Pascal Dapilla, Dari Brenya, Peter Kojo Amankwaa, Bright Adu, Evans Asamoah Nsenbah Batu, Emmanuel Gyimah Akwasi, Adjei Amoah, Beatrice Int J Hypertens Research Article This study determined noncompliance to antihypertensive therapy (AHT) and its associated factors in a Ghanaian population by using the health belief model (HBM). This descriptive cross-sectional study conducted at Kintampo Municipality in Ghana recruited a total of 678 hypertensive patients. The questionnaire constituted information regarding sociodemographics, a five-Likert type HBM questionnaire, and lifestyle-related factors. The rate of noncompliance to AHT in this study was 58.6%. The mean age (SD) of the participants was 43.5 (±5.2) years and median duration of hypertension was 2 years. Overall, the five HBM constructs explained 31.7% of the variance in noncompliance to AHT with a prediction accuracy of 77.5%, after adjusting for age, gender, and duration of condition. Higher levels of perceived benefits of using medicine [aOR=0.55(0.36-0.82),p=0.0001] and cue to actions [aOR=0.59(0.38-0.90),p=0.0008] were significantly associated with reduced noncompliance while perceived susceptibility [aOR=3.05(2.20-6.25), p<0.0001], perceived barrier [aOR=2.14(1.56-2.92), p<0.0001], and perceived severity [aOR=4.20(2.93-6.00),p<0.0001] were significantly associated with increased noncompliance to AHT. Participant who had completed tertiary education [aOR=0.27(0.17-0.43), p<0.0001] and had regular source of income [aOR=0.52(0.38-0.71), p<0.0001] were less likely to be noncompliant. However, being a government employee [aOR=4.16(1.93-8.96), p=0.0002)] was significantly associated increased noncompliance to AHT. Noncompliance to AHT was considerably high and HBM is generally reliable in assessing treatment noncompliance in the Ghanaian hypertensive patients. The significant predictors of noncompliance to AHT were higher level of perceived barriers, susceptibility, and severity. Intervention programmes could be guided by the association of risk factors, HBM constructs with noncompliance to AHT in clinical practice. Hindawi 2018-06-19 /pmc/articles/PMC6029446/ /pubmed/30018819 http://dx.doi.org/10.1155/2018/4701097 Text en Copyright © 2018 Yaa Obirikorang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Obirikorang, Yaa
Obirikorang, Christian
Acheampong, Emmanuel
Odame Anto, Enoch
Gyamfi, Daniel
Philip Segbefia, Selorm
Opoku Boateng, Michael
Pascal Dapilla, Dari
Brenya, Peter Kojo
Amankwaa, Bright
Adu, Evans Asamoah
Nsenbah Batu, Emmanuel
Gyimah Akwasi, Adjei
Amoah, Beatrice
Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model
title Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model
title_full Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model
title_fullStr Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model
title_full_unstemmed Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model
title_short Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model
title_sort predictors of noncompliance to antihypertensive therapy among hypertensive patients ghana: application of health belief model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029446/
https://www.ncbi.nlm.nih.gov/pubmed/30018819
http://dx.doi.org/10.1155/2018/4701097
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