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Healthcare-associated infections (HAIs) have become a serious public health problem. Despite the fact that implementing evidence-based infection control strategies could prevent HAIs and save billions of dollars, Ethiopia lacks national surveillance studies on the rate, economic, and clinical burden of HAIs. To assess the clinical and economic burden of HAIs in hospitalized patients at Ayder comprehensive specialized hospital. A prospective cohort study design was conducted in patients with and without HAIs. A review of medical records, interviews, and patient bills was used to extract necessary information. The patients in the two arms were matched based on age, sex, Charlson comorbidity index, and ward type. Measurable factors were compared between infected and uninfected patients using the paired ttest or McNemar's test, as appropriate. Logistic regression was used to identify predictors of in-hospital mortality. Stata 14.1 was used to conduct all analyses. A total of 408 patients, 204 with HAIs and 204 without HAIs were included in the study. In-hospital mortality was higher in patients with HAI (14.7% vs 7.8%, P = 0.028). Patients with HAI stayed an average of 8.3 days longer than controls (18.85 vs 10.59, P<0.001). The average direct medical costs for patients with HAI were 3033 Ethiopian birrs (ETB) higher than controls (4826 vs 1793, P<0.001). The presence of HAIs (AOR: 2.22, 95% CI: 1.13-4.39) and admission to intensive care units (AOR: 3.39, 95% CI: 1.55-7.40) were significant predictors of in-hospital mortality. HAIs have a significant impact on in-hospital mortality, the length of extra hospital stays, and extra costs for medical care. Patients admitted to intensive care units and those with HAIs were found to be significant predictors of in-hospital mortality. Interventions must be implemented to prevent HAIs, especially in patients admitted to intensive care units.

Irrational prescribing of antibiotics is a universal public health problem, leading to antibiotic resistance. Understanding the prescribing pattern of antibiotics is crucial to tackling irrational prescription. Yet, comprehensive studies regarding the prescribing pattern of antibiotics among inpatients and the need for an Antibiotic Stewardship Program (ASP) are lacking in Ethiopia. This study aimed to evaluate prescribing patterns of antibiotics and the need for an ASP. A hospital-based prospective observational study was carried out from February 2019 to December 2019. This study was conducted among patients admitted to Aksum University Comprehensive Specialized Hospital, Ethiopia. Data were collected using a data abstraction format generated by World Health Organization (WHO) prescribing indicators. Data analysis was carried out using SPSS version 25.0. A total of 1653 antibiotics were prescribed for 822 inpatients. Overall, 52.3% of patients had at least one oral and/or injectable antibiotic prescribed, for a mean duration of 4.2 (SD=2.3) days. The average number of prescribed antibiotics per patient was 2.01 (SD=1.9). The majority (97.6%) of antibiotics were prescribed by their generic name, and all prescribed antibiotics were from the national Essential Medicine List (EML). Frequently prescribed injectable and oral antibiotics were ceftriaxone (24.5%) and azithromycin (12.9%), respectively. Culture and sensitivity testing were not performed in any of the cases. During the study period, 65.2% of key antibiotics were available in stock. In this study, more than half of patients were on at least one antibiotic, and all antibiotics were prescribed from the national EML. However, all antibiotics were prescribed empirically. This result shows that the prescribing pattern of antibiotics in the hospital deviates from and is non-compliant with the standard endorsed by WHO. This study provides evidence for the necessity and a way forward for the establishment of an ASP in the hospital that may help to introduce the prescribing of antibiotics with the aid of culture and sensitivity tests, and to develop institutional guidelines.

Background COVID-19 has affected millions globally, with a significant proportion experiencing long-COVID and impaired health-related quality of life (HRQoL). This systematic review and meta-analysis aimed to synthesize the existing literature on HRQoL in COVID-19 patients. Methods We conducted a systematic search of PubMed, Embase, Web of Science, Scopus, and the Cochrane Library for studies published between December 2019 and March 2025. Eligible studies were peer-reviewed and assessed HRQoL in COVID-19 patients using the EQ-5D instrument. Study quality and risk of bias were evaluated using the Newcastle-Ottawa Scale. Pooled health utility values were estimated using a random-effects model, and heterogeneity was assessed via I 2 statistics. Predictors of poor HRQoL were qualitatively narrated. Results Out of 3539 references, 187 studies with 116,525 participants were analyzed. The majority (80.2%) used the EQ-5D-5 L version. The pooled mean EQ-5D utility score was 0.76 (95% CI 0.74–0.79, I 2 = 99.9%) while the mean EQ-5D Visual Analogue Scale (VAS) score was 70.76 (95% CI 68.48–73.04; I 2 = 99.7%). Pain/discomfort and anxiety/depression were the most affected domains, reported by 51% and 46% of patients, respectively. Subgroup analysis showed significant differences in HRQoL based on national income status ( p  = 0.038) and geographic region ( p  < 0.001). Common predictors of lower HRQoL included older age, female gender, disease severity, comorbidities, and post-COVID-19 symptoms. Conclusion This systematic review demonstrates a substantial reduction in HRQoL among COVID-19 patients compared to the general population. The pooled utility values of COVID-19 contribute to understanding patients’ HRQoL and can assist in calculating Quality-Adjusted Life Years. This provides essential data for future economic evaluations and informs health policy decisions.

Antimicrobials are among the most commonly misused medications, leading to antimicrobial resistance, and therefore demand more attention. There are limited studies documenting \"antimicrobial use-related problems\" in developing countries, especially in pediatric patients. This study aimed to evaluate the prevalence of antimicrobial use-related problems and risk factors among hospitalized pediatric patients. A hospital-based prospective observational study was conducted in Ayder comprehensive specialized hospital (ACSH) in the Tigray region, Ethiopia. The participants of the study were pediatric patients aged ≤15 years who were admitted with a diagnosis of infectious disease between September 2019 and November 2019. A total of 232 pediatric patients were included in the study. Of these, 59.5% of the patients were male and the mean age (SD) of the patients was 5.8 (5.2) years. Of the 232 patients surveyed, a total of 177 antimicrobial use-related problems were identified. One or more antimicrobial use-related problems have occurred in more than half of the patients (53.9%). The commonest antimicrobial use problems were unnecessary antimicrobial therapy (22.8%) followed by need additional antimicrobial therapy (16.4%). In a multivariate logistic regression model, patients with comorbidities (Adjusted odds ratio (AOR): 1.84, 95% confidence interval (CI): 1.04-3.27) and hospital stays exceeding one week (AOR=1.88, 95% CI: 1.08-3.26) were predictors of antimicrobial use-related problems. Antimicrobial use-related problems were found in a significant proportion of pediatric patients. Addressing these issues necessitates collaborative efforts, emphasizing targeted education, strengthened antimicrobial stewardship, ensuring responsible antimicrobial use and enhancing pediatric care.

Drug therapy problem (DTP) is any unwanted incident related to medication therapy that actually or potentially affects the desired goals of treatment. Heart failure (HF) patients are more likely to experience DTP owing to multiple prescriptions and comorbidities. Despite the serious negative impact of DTP on treatment outcomes, there is a dearth of study on DTP among HF patients in Ethiopia. The main aim of this study was to assess the prevalence and contributing factors of DTP among ambulatory HF patients in Jimma University Specialized Hospital, Ethiopia. A hospital based prospective observational study was conducted. Written informed consent was obtained from each patient after full explanation of the study. Data were collected through patient interview and expert review of medical, medication and laboratory records of one-year follow-up from May 2015 to April 2016. DTPs were identified using Cipolle's method followed by consensus review with experts. Binary logistic regression was performed to identify factors contributing to DTP. A p<0.05 was considered statistically significant in all analyses. Of 340 study participants; male to female ratio was equivalent, the mean (± SD = standard deviation) age was 50.5±15.6 years. Eight hundred eighty DTPs were identified equating 2.6 ±1.8 DTPs per patient. The frequently identified DTPs were dosage too low (27.8%), ineffective drug therapy (27.6%) and need additional drug therapy (27.4%). Most commonly implicated drugs were beta-blockers (34.4%), angiotensin converting enzyme inhibitors (24.8%), statins (16.5%) and antithrombotics (13.1%). Factors contributing to DTP were age >50 years (AOR [adjusted odd ratio] = 5.43, 95%CI [95% confidence interval] = 2.03-14.50); negative medication belief (AOR = 3.50, 95%CI = 1.22-10.05); poor involvement of patients in the therapeutic decision makings (AOR = 4.11, 95%CI = 1.91-8.88); number of co-morbidity≥2(AOR = 5.26, 95%CI = 2.38-11.65) and number of medications ≥5 (AOR = 3.68, 95%CI = 1.28-10.51). DTPs are common among ambulatory care HF patients. Patients with older age, negative medication belief, polypharmacy, co-morbidities and those who were poorly involved in the therapeutic decision were more likely to experience DTP. Despite traditional prescription refilling, an integrated multidisciplinary approach involving patients and clinically trained pharmacists should be implemented in the patient care process at ambulatory care clinics in order to improve overall outcomes and reduce DTPs and associated burdens in HF patients.

Despite the indispensable role of self-care behavior in managing heart failure, the practice of self-care behavior remains poor, especially in developing countries. There is a scarcity of research focusing on poor self-care behavior and its determinants within our specific context. Therefore, the objective of this study was to investigate the prevalence and predictors of poor self-care behavior among ambulatory heart failure patients. A facility-based cross-sectional study was conducted at a tertiary care hospital in Ethiopia, involving patients with heart failure. We utilized the European Heart Failure Self-Care Behavior Scale (EHFScBS-9) to evaluate adherence to self-care behaviors. Data were gathered through patient interviews and a review of medical records. A binary logistic regression analysis was performed to identify predictors of poor self-care behavior in heart failure patients. We included a total of 343 participants in the final analysis of this study. The findings revealed that a majority of the patients (73.8%) demonstrated poor overall self-care behavior. Specifically, the majority of patients did not engage in regular exercise (76.1%), failed to consult doctors in case of rapid weight gain (75.6%), did not monitor weight daily (71.5%), did not restrict fluid intake (69.9%), and did not contact doctors in case of experiencing fatigue (68.6%). Additionally, 32.4% of patients did not reach out to doctors when experiencing shortness of breath, 30% did not restrict salt intake, 29% did not adhere to prescribed medication, and only 7% did not consult doctors if edema occurred. Our findings indicated that rural residence (AOR: 5.76, 95% CI: 2.47–13.43), illiteracy (AOR: 2.64, 95% CI: 1.52–6.31), prior hospitalization (AOR: 2.09, 95% CI: 1.21–3.61), and taking five or more medications (AOR: 1.83, 1.01–3.33) were significant predictors of poor self-care behavior. In conclusion, a majority of the participants in our study demonstrated poor self-care behavior. Risk factors for this behavior included rural residence, illiteracy, prior hospitalization, and taking five or more medications. Therefore, it is crucial to prioritize these high-risk patients and implement interventional programs aimed at improving self-care behaviors and overall treatment outcomes in heart failure patients.

Although antiseizure medications play a crucial role in the management of epilepsy, their benefit can be compromised due to drug-related problems. Drug therapy problems can lead to poor seizure control, reduced quality of life, and increased morbidity and mortality in patients with epilepsy. However, in our setting, there is limited knowledge about drug therapy problems and the factors that contribute to them. The aim of this study was to investigate the prevalence and contributing factors of drug-therapy problems among patients with epilepsy. A hospital-based prospective observational study was conducted at the neurologic clinic of Ayder Comprehensive Specialized Hospital, located in the Tigray region of Northern Ethiopia. The study included adult patients diagnosed with epilepsy who had been taking at least one antiseizure medication for a minimum of six months. Data were collected by conducting patient interviews and expert reviews of medical and medication records. Prior to data review and interviews, each patient provided written informed consent. Drug therapy problems were identified and classified using Cipolle's method, followed by a consensus review conducted with a panel of experts. Statistical analysis was performed using a statistical software package; SPSS version 22. Binary logistic regression analysis was conducted to determine the contributing factors of drug therapy problems. Statistical significance was determined at p<0.05. A study conducted on 250 participants revealed that 55.2% of the patients experienced one or more drug therapy problems. Our analysis identified a total of 282 drug therapy problems, with a mean of 2±0.52 drug therapy problems per patient. The most commonly observed drug therapy problems were dosage too low (30.0%), noncompliance (22%), adverse drug reaction (18%), and unnecessary drug therapy (16.4%). The commonly involved antiseizure medications in these drug therapy problems were phenytoin (22.8%), Valproic acid (20.8%), and Phenobarbital (18.4%). Furthermore, our findings revealed that combination therapy (AOR: 3.92, 95%CI: 1.19-12.97) and uncontrolled seizure (AOR: 108.37, 95%CI: 38.7-303.6) exhibited significant associations with drug therapy problems. Drug therapy problems were prevalent among patients with epilepsy. The use of combination therapy and the presence of uncontrolled seizures were identified as significant indicators of drug therapy problems. Therefore, more emphasis should be given to patients with multiple medications and uncontrolled seizures.

Antibiotic use related problems lead to the emergence of resistance, failure of therapy, morbidity, mortality, and unnecessary healthcare expenditure. However, little is known about antimicrobial use related problems in our setting particularly in hospitalized surgical patients. The purpose of this study was to investigate antibiotic use related problems and their determinants among hospitalized surgical patients. A prospective observational study was conducted from December 2018 to April 2019 at the surgical ward of the Ayder comprehensive specialized hospital, located in Northern Ethiopia. We included patients admitted to the surgical ward who were on antibiotic therapy or were candidates for antibiotic therapy/prophylaxis. The patients were recruited during admission and were followed daily until discharge. Data were collected through patient interviews and expert reviews of medical and medication records. The appropriateness of antibiotic use was evaluated according to the Infectious Disease Society of America, American Society of Health System Pharmacists, and World Health Organization guidelines. Subsequently, antibiotic use related problems were identified and classified based on Cipolle's method followed by consensus review with experts. Binary logistic regression was performed to identify the determinants of antibiotic use related problems. Statistical significance was set at p <0.05. Among 272 patients, 167(61.4%) experienced antibiotics use related problems. A total of 235 antibiotics use related problems were identified equating 0.86±0.82 problems per patient. The commonly identified antibiotic use related problems were the need for additional drug therapy (29.4%), unnecessary drug therapy (15%), and dosage too high (12.1%). Cephalosporin (47.02%) was the most commonly implicated class of antibiotics in these drug related problems, followed by penicillin (18.45%) and metronidazole (16.02%). Prolonged hospitalization (AOR: 3.57, 95% CI: 1.91-6.70), number of medications≥5 (AOR: 2.08, 95%CI: 1.10-3.94), and lower qualifications of practitioners [general practitioners (AOR: 10.27, 95%CI: 4.13-25.58) and surgical residents (AOR: 2.28, 95%CI: 1.12-4.63)] were predictors of antibiotic use related problems. Antibiotic use related problems were common among the hospitalized surgical patients. Prolonged hospitalizations, number of medications, and lower qualifications of practitioners were predictors of antibiotic use related problems. Therefore, more emphasis should be given for patients with prolonged hospitalization and multiple medications. Moreover, practitioners with higher qualifications including surgical specialists need to be involved in patient evaluations.

Background Optimal utilization of cardiovascular drugs is crucial in reducing morbidity and mortality associated with cardiovascular diseases. However, the effectiveness of these drugs can be compromised by drug therapy problems. Hospitalized patients with cardiovascular diseases, particularly those with multiple comorbidities, polypharmacy, and advanced age, are more susceptible to experiencing drug therapy problems. However, little is known about drug therapy problems and their contributing factors among patients with cardiovascular disease in our setting. Therefore, our study aimed to investigate drug therapy problems and their contributing factors in patients with cardiovascular diseases. Method A prospective observational study was conducted among hospitalized patients with cardiovascular disease at Ayder Comprehensive Specialized Hospital in the Tigray region of Northern Ethiopia from December 2020 to May 2021. We collected the data through patient interviews and review of patients’ medical records. We employed Cipolle’s method to identify and categorize drug therapy problems and sought consensus from a panel of experts through review. Data analysis was performed using the Statistical Software Package SPSS version 22. Binary logistic regression analysis was performed to determine the contributing factors of drug therapy problems in patients with cardiovascular disease. Statistical significance was set at p  < 0.05. Results The study included a total of 222 patients, of whom 117 (52.7%) experienced one or more drug-related problems. We identified 177 drug therapy problems equating to 1.4 ± 0.7 drug therapy problems per patients. The most frequently identified DTP was the need for additional drug therapy (32.4%), followed by ineffective drug therapy (14%), and unnecessary drug therapy (13.1%). The predicting factors for drug therapy problems were old age (AOR: 3.97, 95%CI: 1.68–9.36) and number of medications ≥ 5 (AOR: 2.68, 95%CI: 1.47–5.11). Conclusion More than half of the patients experienced drug therapy problems in our study. Old age and number of medications were the predicting factors of drug therapy problems. Therefore, greater attention and focus should be given to patients who are at risk of developing drug therapy problems.

Objective Contemporary clinical guidelines endorsed that glycemic control is the ultimate goal in the management patients with diabetes. The aim of this study was to assess the prevalence of glycemic control and to identify predictors of poor glycemic control in patients with type 2 diabetes (T2D). A cross-sectional study was conducted among systematically selected 357 diabetic patients. Data were collected through direct patients’ interviews and medical chart review. Binary logistic regression analyses were performed and analyzed using SPSS version 22.0. Results Participants’ mean age was (± SD) 56.1 ± 11.6 years. Nearly four in five (77.9%) of the participants had comorbidities, mainly of hypertension, and 60.2% had diabetic complications, mainly diabetes neuropathy. Poor glycemic control was found in 68.3% of the participants with a mean (± SD) FBG of 174.1 ± 48.9 mg/dL. Being female gender, having greater body mass index and low medication adherence was significantly associated with poor glycemic control. In conclusion, the overall aspects of glycemic control level of patients were far from the standards. Being female, greater body mass index and poor medication adherence were predictors of poor glycemic control. In response to this finding, an aggressive intervention that targets in improving the glycemic control is required.