Integrating the Health Belief Model into HIV Care
A Case Study of ART Adherence in Wassa Amenfi West
DOI:
https://doi.org/10.64261/ijaarai.v1n3.0014Keywords:
Health Belief Model, ART adherence, HIV, behavioural theory, rural Ghana, self-efficacy, cues to actionAbstract
Background: Antiretroviral therapy (ART) adherence is critical for viral suppression, reduced HIV transmission, and improved quality of life. In rural Ghana, socio-economic challenges and behavioural factors threaten optimal adherence. The Health Belief Model (HBM) provides a framework to understand and address these behavioural determinants. Objective: To examine the association between HBM constructs—perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, and self-efficacy—and ART adherence among people living with HIV (PLHIV) in Wassa Amenfi West Municipality, Ghana. Methods: A cross-sectional study was conducted among 602 PLHIV aged ≥18 years who had been on ART for at least six months. Participants were selected through systematic random sampling from ART clinic registers. Data were collected using a structured questionnaire guided by HBM constructs, with adherence assessed via self-report and pharmacy refill verification. Chi-square tests and logistic regression were used to examine associations between HBM constructs and adherence, with significance set at p < 0.05. Results: Optimal adherence was significantly associated with high perceived susceptibility (χ² = 16.82, p < 0.001), high perceived severity (χ² = 10.95, p = 0.001), high perceived benefits (χ² = 22.14, p < 0.001), low perceived barriers (χ² = 18.47, p < 0.001), presence of cues to action (χ² = 15.68, p < 0.001), and high self-efficacy (χ² = 17.92, p < 0.001). Participants with high benefit perception and strong self-efficacy had the highest adherence rates. Conclusion: The findings highlight the utility of the HBM in predicting ART adherence and designing theory-driven interventions in rural Ghana. Addressing barriers, reinforcing benefits, enhancing self-efficacy, and providing consistent cues to action should be prioritised in adherence programs. Integrating HBM-informed strategies into both clinic-based counselling and community outreach can strengthen ART outcomes in resource-limited settings.References
Addo, N. A., Sarfo, F. S., Osei, F. A., & Sarfo-Kantanka, O. (2018). Factors associated with non-adherence to antiretroviral therapy among HIV-infected patients in Ghana. Journal of the International Association of Providers of AIDS Care, 17, 1–7. https://doi.org/10.1177/2325958218805780
Biadgilign, S., Deribew, A., Amberbir, A., & Deribe, K. (2016). Barriers to antiretroviral adherence among HIV/AIDS patients in Ethiopia: A systematic review of qualitative evidence. PLoS ONE, 11(5), e0156619. https://doi.org/10.1371/journal.pone.0156619
Eholié, S. P., Moh, R., Badje, A., Kouame, G. M., N’takpé, J. B., Bissagnene, E., ... & Anglaret, X. (2021). Implementation of “test and treat” in resource-limited settings: Challenges and prospects. Current Opinion in HIV and AIDS, 16(4), 235–242. https://doi.org/10.1097/COH.0000000000000679
Glanz, K., Rimer, B. K., & Viswanath, K. (2015). Health behavior: Theory, research, and practice (5th ed.). Jossey-Bass.
Kiplagat, J., Mwangi, M., & Mbuthia, G. (2018). Factors influencing adherence to antiretroviral therapy among HIV patients in Kenya: A review. East African Medical Journal, 95(6), 1560–1570.
Kisaka, M., Mbonye, M., Wanyenze, R., Wabwire-Mangen, F., & Karamagi, C. (2019). Applicability of the Health Belief Model in predicting adherence to antiretroviral therapy among HIV-infected adults in Uganda. BMC Public Health, 19, 1285. https://doi.org/10.1186/s12889-019-7606-6
Musumari, P. M., Wouters, E., Kayembe, P. K., Kiumbu, M. M., Mavoko, H. M., Mbikayi, S. M., & Colebunders, R. (2019). Food insecurity is associated with increased risk of non-adherence to antiretroviral therapy among HIV-infected adults in the Democratic Republic of Congo: A cross-sectional study. PLoS ONE, 14(1), e0210200. https://doi.org/10.1371/journal.pone.0210200
Nachega, J. B., Uthman, O. A., Peltzer, K., Richardson, L. A., Mills, E. J., Amekudzi, K., & Ouedraogo, A. (2019). Association between antiretroviral therapy adherence and employment status: Systematic review and meta-analysis. Bulletin of the World Health Organization, 93(1), 29–41. https://doi.org/10.2471/BLT.14.138149
Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the Health Belief Model. Health Education Quarterly, 15(2), 175–183. https://doi.org/10.1177/109019818801500203
Wouters, E., Van Damme, W., Van Loon, F., van Rensburg, D., & Meulemans, H. (2014). Public-sector ART in the Free State Province, South Africa: Community support as an important determinant of programme success. Health Policy and Planning, 24(1), 31–39. https://doi.org/10.1093/heapol/czn039
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.