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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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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. |
format | Online Article Text |
id | pubmed-6029446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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