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Obirikorang Y, Obirikorang C, Acheampong E, et al. Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model. Int J Hypertens. 2018;2018:4701097doi: 10.1155/2018/4701097.
Obirikorang, Y., Obirikorang, C., Acheampong, E., Odame Anto, E., Gyamfi, D., Philip Segbefia, S., Opoku Boateng, M., Pascal Dapilla, D., Brenya, P. K., Amankwaa, B., Adu, E. A., Nsenbah Batu, E., Gyimah Akwasi, A., & Amoah, B. (2018). Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model. International journal of hypertension, 20184701097. https://doi.org/10.1155/2018/4701097
Obirikorang, Yaa, et al. "Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model." International journal of hypertension vol. 2018 (2018): 4701097. doi: https://doi.org/10.1155/2018/4701097
Obirikorang Y, Obirikorang C, Acheampong E, Odame Anto E, Gyamfi D, Philip Segbefia S, Opoku Boateng M, Pascal Dapilla D, Brenya PK, Amankwaa B, Adu EA, Nsenbah Batu E, Gyimah Akwasi A, Amoah B. Predictors of Noncompliance to Antihypertensive Therapy among Hypertensive Patients Ghana: Application of Health Belief Model. Int J Hypertens. 2018 Jun 19;2018:4701097. doi: 10.1155/2018/4701097. eCollection 2018. PMID: 30018819; PMCID: PMC6029446.
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Int J Hypertens. 2018 Jun 19;2018:4701097. doi: 10.1155/2018/4701097. eCollection 2018.

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

International journal of hypertension

Yaa Obirikorang, Christian Obirikorang, Emmanuel Acheampong, Enoch Odame Anto, Daniel Gyamfi, Selorm Philip Segbefia, Michael Opoku Boateng, Dari Pascal Dapilla, Peter Kojo Brenya, Bright Amankwaa, Evans Asamoah Adu, Emmanuel Nsenbah Batu, Adjei Gyimah Akwasi, Beatrice Amoah

Affiliations

  1. Department of Nursing, Faculty of Health and Allied Sciences, Garden City University College (GCUC), Kenyasi, Kumasi, Ghana.
  2. Department of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
  3. School of Medical and Health Science, Edith Cowan University, Joondalup, Australia.
  4. Department of Medical Laboratory Technology, Faculty of Allied Health Sciences, KNUST, Ghana.
  5. Department of Nursing, Kintampo Municipal Hospital, Kintampo, Ghana.
  6. Department of Community Health, School of Medical Sciences, KNUST, Ghana.

PMID: 30018819 PMCID: PMC6029446 DOI: 10.1155/2018/4701097

Abstract

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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