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

• Published in: International journal of hypertension Vol. 2018; no. 2018; pp. 1 - 9
• Main Authors: Brenya, Peter Kojo, Adu, Evans Asamoah, Nsenbah, Emmanuella Batu, Gyimah Akwasi, Adjei, Amoah, Beatrice, Pascal Dapilla, Dari, Opoku Boateng, Michael, Philip Segbefia, Selorm, Gyamfi, Daniel, Odame Anto, Enoch, Acheampong, Emmanuel, Obirikorang, Christian, Obirikorang, Yaa, Amankwaa, Bright
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01-01-2018; Hindawi; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Antihypertensives; Care and treatment; Data collection; Hospitals; Hypertension; Lifestyles; Low income groups; Medicine; Noncompliance; Patient compliance; Patients; Questionnaires; Risk factors; Transplants & implants; Ghana
• ISSN: 2090-0384; 2090-0392; 2090-0392
• DOI: 10.1155/2018/4701097

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.