Background There was limited data on treatment outcomes among patients with diabetic ketoacidosis (DKA) in Ethiopia. Objective The aim of the study was to determine the treatment outcomes of DKA patients attending Debre Tabor General Hospital. Method A retrospective study was conducted at Debre Tabor General Hospital and data were collected from June 1 to June 30 of 2018. Participants included in the study were all diabetic patients with DKA admitted from August 2010 to May 31, 2018. The primary outcomes were the treatment outcomes of DKA including (in-hospital glycemic control, the length of hospital stay and in-hospital mortality). The statistical analysis was carried out using Statistical Package for Social Sciences (SPSS) version 22. Descriptive statistics was presented in the form of means with standard deviation and binary regression was conducted to determine factors that affect length of hospital stay among DKA patients. Result 387 patients were included in the study. The mean age of patients was 33.30± 14.96 years. The most common precipitating factor of DKA was new onset diabetes mellitus 150(38.8%). The mean length of hospital stay was 4.64(±2.802) days. The mean plasma glucose at admission and discharge was 443.63(±103.33) and 172.94 (±80.60) mg/dL, respectively. The majority 370 (95.60%) of patients improved and discharged whereas 17 (4.40%) patients died in the hospital. Patients with mild and moderate DKA showed short hospital stay; AOR: 0.16 [0.03–0.78] and AOR:0.17[0.03–0.96] compared with severe DKA. Diabetic ketoacidosis precipitated by infection were nearly five times more likely to have long hospital stay than DKA precipitated by other causes; AOR: 4.59 [1.08–19.42]. In addition, serum glucose fluctuation during hospitalization increased the likelihood of long hospital stay, AOR: 2.15[1.76–2.63]. Conclusions New onset type 1 diabetes was the major precipitating factor for DKA. Admitted DKA patients remained in hospital for a duration of approximately five days. About five out of hundred DKA patients ended up with death in the hospital. Infection, serum glucose fluctuations and severity of DKA were determinants of long hospital stay. Early prevention of precipitating factors and adequate management of DAK are warranted to reduce length of hospital stay and mortality.
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.
Objective: To determine the prevalence of drug-related problems and the factors influencing them among adult psychiatric inpatients. Methods: A multi-centre cross-sectional observational study was conducted from April to July 2021 at five randomly selected hospitals in Northwest Ethiopia. A total of 325 consecutively sampled patients participated in the study. Clinical pharmacists assessed the drug-related problems based on clinical judgement supported by updated evidence-based disease guidelines. We used the Medscape drug-interactions checker to check drug-to-drug interactions. The results were summarised using descriptive statistics, including frequency, mean, and standard deviation. For each variable, an odds ratio with a 95% confidence interval was calculated, as well as the related p-value. The value of p ⩽ 0.05 was considered statistically significant. Results: From the total number of 325 study participants, more than half of them (52.9%) were females, and the mean age ± (standard deviation) was 30.8 ± 11.3 years. At least one drug-related problem was recorded by 60.9% to 95% confidence interval (55.7–65.8) of study participants, with a mean of 0.6 ± 0.49 per patient. Additional drug therapy was the most common drug-related problem (22.8%) followed by non-adherence to medicine (20.6%) and adverse drug reactions (11%), respectively. Factors independent associated with drug-related problems were rural residence (adjusted odds ratio = 1.96, 95% confidence interval: 1.01–2.84, p-value = 0.046), self-employed (adjusted odds ratio = 6.0, 95% confidence interval: 1.0–36.9, p-value = 0.035) and alcohol drinkers (adjusted odds ratio = 6.40, 95% confidence interval: 1.12–37.5, p-value = 0.034). Conclusion: The prevalence of drug-related problems among adult psychiatric patients admitted to psychiatric wards was high. Healthcare providers give more attention to tackling these problems. Being a rural resident, self-employed, and alcohol drinkers were associated with drug-related problems.
Introduction: A change of therapy from one to another antipsychotic medication is currently the main challenge of therapy. This study aimed to assess the prevalence of antipsychotic medication switches and determinants among patients with schizophrenia in Northwest Ethiopia.Methods Multi-center hospital-based cross-sectional study was conducted at five Comprehensive Specialized Hospitals found in Northwest Ethiopia from April 30, 2021, to August 30, 2021. Data were extracted from both patients’ medical charts and interviews. Data were entered into Epi-data software version 3.5.1 and exported to SPSS version 25.0 for analysis. A multivariable logistic regression model was fitted to identify factors associated with medication regimen switch. The level of significance of the study was kept at a P-value of 0.05 with a 95% confidence interval.Result a total of 414 patients are involved in the study, and 188(45.5%) of patients switched antipsychotics within one year. The unavailability of the medication is the commonest reason for switching. Being male[AOR = 2.581,95% CI; (1.463,4.552)], having relapse[AOR = 2.341,95% CI: (1.169,4.687) ], history of hospitalization in the past year [AOR = 3.00,95% CI; (1.478,5.715)] and taking typical antipsychotics [AOR = 3.340, CI; (1.76, 6.00)] had a significant association with antipsychotics switching.Conclusions and recommendations: There is a high prevalence of antipsychotic switches among schizophrenia patients. Prescribers need to be careful while dosing, selecting, and switching antipsychotics, hence may help reduce discontinuation and unnecessary switch and thus achieve optimal clinical management.
Background In Ethiopia, the approved vaccines for Corona-Virus disease (COVID-19) are being distributed to the population by their order of risk and exposure due to the limited number of available vaccines. Public transport workers are among those who are labeled as a high-risk population and on the frontlines of getting the COVID-19 vaccination. So this study was conducted to assess the magnitude of the COVID-19 vaccine intake among public transport drivers. Methods A community-based cross-sectional study was conducted among 384 participants in Gondar, Ethiopia from October 1, 2021 to November 15, 2021. The data was collected using self-administered questionnaires and analyzed. P-value ≤ 0.05 in a multivariable logistic regression model was considered statistically significant. Results Among the 384 study participants, 196 (51%) of them received the COVID-19 vaccine. Among those who were not vaccinated, 95 (50%) of the participants did not take the vaccines due to fear of the adverse effects of the vaccines. In multivariate logistic regression analysis, being affiliated with the Islamic religion, having a health professional family member or friend, and having a history of sign/symptoms of COVID-19 in the study participants were found to be associated with the vaccination status against COVID-19. Conclusion The overall COVID-19 vaccine intake by the study participants was low. To enhance the magnitude of the vaccination of this high-risk population, governmental organizations and other stakeholders should focus on increasing awareness in order to increase the willingness of the population.
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