Background Subjective beliefs about chronic disease conditions and their drug management are among factors determining adherence to medications that are amenable to interventions. Patient-level factors such as personal, cultural, and religious beliefs about diseases, and medication use may have a significant impact on medication adherence. The purpose of this study was to assess the impact of personal, cultural and religious beliefs on medication adherence behavior among patients with chronic follow-up. Patients and Methods An institutional-based cross-sectional study design was conducted among chronic ambulatory patients from July to August 2021. The data was collected through an interviewer administered questionnaire. Initially stratified sampling technique was used to include proportional participants from different disease conditions, and systematic random sampling was employed to enroll eligible patients from each subgroup. Descriptive statistics such as frequencies and percentages were computed for categorical variables and mean with (standard deviation ±SD) used for continuous variables. Logistic regression model was employed to determine variable with poor adherence. A 95% confidence interval with P-value ≤0.05 was used to declare statically significance. Results Among the 404 participants, more than half (51%) were males. The mean (±SD) age of the patients was 47.8 ± 14.8 years. Patients with strong belief in the harm of medications were found 4 times more likely to have poor medication adherence than those with weak belief in the harm of medications (AOR = 4.027, 95% CI:1.232–13.161, P = 0.021). In contrast, having strong personal belief regarding the necessity of medications were found to be less likely to have poor medication adherence (AOR = 0.368, 95% CI: 0.220–0.615, P < 0.001). Conclusion This study generalized that most of the patients were poor adherent to their medications. Personal beliefs were found to influence medication adherence of the patients. Future studies could be needed to explore and identify how these factors affect patients’ medication adherence.
Background. A drug-related problem (DRP) is an event involving drug therapy that actually or potentially interferes with the desired therapeutic outcome. Drug-related hospital admission (DRHA) is hospitalization due to one or more DRPs. Objective. This study was aimed at assessing the prevalence of DRHA and factors associated with it among adults admitted to the internal medicine wards of Felege Hiwot Comprehensive Specialized Hospital. Methods. A prospective cross-sectional study was conducted using a previously validated tool, AT-HARM 10. Data were collected by two clinical pharmacists from July 1 to September 15, 2020. The data were entered into EpiData software (version 4.2.0.0) and then transported to Statistical Package for Social Sciences (SPSS®) software (version 24) (IBM Corporation) for analysis. Descriptive statistics were presented using frequency and proportion. Binary logistic regression was applied to identify factors associated with DRHAs with a 95% confidence level, and significance was declared at a p value <0.05. Results. The prevalence of DRHAs was 31.9% (95% CI = 27.7%–36.4%). From this, noncompliance (37.8%) (95% CI = 29.6–45.9), untreated indication (31.9%) (95% CI = 23.7–40), and adverse drug reaction (15.6%) (95% CI = 9.6–21.5) cause the majority of DRHAs. More than a quarter (28.8%) of all admissions were preventable. Most DRHAs were moderate (76.3) and preventable (80.7%). Lower to medium Charlson comorbidity index scores, longer duration of therapy, and not having health insurance were significantly associated with DRHAs. Conclusion. The prevalence of DRHAs was considerably high. Noncompliance, untreated indications, and adverse drug reactions were the commonest DRPs that caused DRHAs. Lower to medium Charlson comorbidity index scores, longer duration of therapy, and not having health insurance were significantly contributing factors of DRHAs. Therefore, all healthcare providers should prevent, identify, and resolve DRPs to decrease DRHAs in the hospital.
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