Background. The effectiveness of ART interventions is only realized in maximal levels of adherence. A near perfect adherence level of >95% is required for the effective suppression of HIV/AIDS virus. The main objective of this study was to identify the sociodemographic and socioeconomic factors that facilitate adherence to antiretroviral therapy among HIV/AIDS patients. Methods. This descriptive cross-sectional study was conducted between March and May 2013 at the Upper West Regional Hospital, Wa. A total of 201 confirmed HIV 1 seropositive subjects (mean age 36.6 ± 9.9 years) receiving antiretroviral therapy were interviewed using a structured questionnaire. The collected data was analyzed using GraphPad Prism version 5. A P value of <0.05 was considered statistically significant for all statistical analyses. Results. Overall lifetime adherence was found to be 62.2% while medication adherence in the last six months, last three months, last month, and last week were 73.6%, 87.1%, 91.0%, and 86.0%, respectively. The study revealed a positive association between adherence to ART and immunological success, with nonadherence increasing the risk (OR (95% CI): 9.2 (3.2-26.9)) of immunological failure. Univariate logistic regression analysis of the data showed that other ailments and side effects of drug were negatively associated with adherence to ART whereas self-perceived wellness, family support, and regular followup were positively associated with adherence to ART. Conclusion. Regular attendance at followup and family support are vital factors for 100% lifetime medication adherence. Effective counseling sessions on adherence for patients on antiretroviral therapy are paramount for the realization of the purpose of antiretroviral therapy programmes in Ghana.
Keyphrases
- antiretroviral therapy
- hiv aids
- hiv infected
- hiv positive
- human immunodeficiency virus
- hiv infected patients
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- blood pressure
- systematic review
- peritoneal dialysis
- physical activity
- type diabetes
- body composition
- cross sectional
- emergency department
- machine learning
- patient reported outcomes
- depressive symptoms
- metabolic syndrome
- electronic health record
- social support
- data analysis
- study protocol
- artificial intelligence