Perception of Healthcare Professionals towards Electronic-Prescribing at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: A Cross-Sectional Study.

Background: Electronic-prescribing (e-prescribing) is the most recent technological advancement in the medication use process. Its adoption and consequent realization of its potential benefits, however, mainly depend on the healthcare professionals' perception, willingness to accept, and engagement with the technology. Objectives: This study is aimed at assessing the perception of healthcare professionals towards e-prescribing at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, from June 1 to August 30, 2021. Method: A cross-sectional study was conducted using a simple random sampling technique. A self-administered questionnaire was used for data collection. Data were entered into and analyzed by using the Statistical Package for the Social Sciences (SPSS® (IBM Corporation)) version 24. Both descriptive and inferential statistics like the Kruskal-Wallis and Mann-Whitney tests were used for data analysis. A statistical significance was declared at a p value < 0.05. Result: From 401 participants, the majority of study participants had a neutral perception of e-prescribing. More than two-thirds (68.8%) of them had a neutral perception towards the perceived usefulness of e-prescribing with a median (interquartile range (IQR)) perceived usefulness of 43.0 (7.0) (maximum score = 60). The perceived ease of use of e-prescribing was also neutral in the case of more than three-fourths (79.8%) of participants with a median (IQR) perceived ease of use of 49.0 (6) (maximum score = 75). Similarly, more than half (56.6%) of the participants had a neutral perception towards the perceived fitness of e-prescribing with a median (IQR) perceived fitness of 15.0 (2.5) (maximum score = 15). The perception of the participants showed a significant difference based on their qualifications and work and computer use experience. Participants who heard about e-prescribing and e-prescribing software had a significantly higher mean rank score of perceived usefulness, perceived ease of use, and perceived fitness of e-prescribing. Participants who previously used e-prescribing had also a significantly higher mean rank score of perceived usefulness. Conclusion and Recommendation. The majority of healthcare professionals had a neutral perception of e-prescribing. The perception of healthcare professionals differs based on their qualifications, work and computer use experience, and their exposure to e-prescribing. The hospital should take all expectations and concerns of all HCPs into consideration and provide experience-sharing opportunities for all healthcare professionals who may potentially be involved in e-prescribing.

Nephrotoxic drug burden and predictors of exposure among patients with renal impairment in Ethiopia: A multi-center study.

Background: Nephrotoxic drugs may hasten the decline in kidney function and worsen the progression of renal impairment as a result; these drugs should be avoided or used with caution in patients with pre-existing renal insufficiency. The purpose of this study was to assess the burden of nephrotoxic medication use and its predictors among patients with underlying renal impairment. Methods: A multicenter, institution-based, cross-sectional study was conducted from May 30, 2021 to July 30, 2021, at medical wards. Renal impaired patients admitted during the data collection period who took at least one medication were enrolled in the study. A simple random sampling technique was used to select the study participants. Data was collected through an interview and a medical card review. Both bivariable and multivariable binary logistic regression analyses were fitted to identify factors associated with nephrotoxic drug use. Results: Among the 422 participants, more than half of them (53.6 %) were male. The mean patient's age was 47.5 (±16.7) years. A total of 1310 drugs were prescribed for 422 patients with renal impairment, of which 80.15 % were nephrotoxic. Nephrotoxic drugs were prescribed for 66.4 % of patients. The burden of nephrotoxic medication prescription was significantly associated with variables like the presence of comorbidity (AOR = 6.31, 95 % CI: 2.01-19.79), the number of medications prescribed (AOR = 1.43, 95 % CI: 1.05-1.93), and the age of participants (AOR = 1.12, 95 % CI: 1.07-1.17). Conclusion: The present study demonstrated that two-third of the patients with renal impairment were exposed to nephrotoxic medications. Furosemide, Enalapril, and vancomycin were the most frequently prescribed nephrotoxic medications. The study suggests that prescribers need to give special attention to older patients who have underlying renal insufficiency, a comorbid condition, and polypharmacy regarding exposure to contraindicated nephrotoxic medication.

Impact of Personal, Cultural and Religious Beliefs on Medication Adherence among Patients with Chronic Diseases at University Hospital in Northwest Ethiopia.

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.

Drug-Related Hospital Admissions and Associated Factors among Adults Admitted to Felege Hiwot Comprehensive and Specialized Hospital, North West Ethiopia.

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.