Childhood glaucoma profile in a Southwestern Ethiopia tertiary care center: a retrospective study.

BACKGROUND: Childhood glaucoma is a major cause of childhood blindness worldwide. The profile of childhood glaucoma has not been well characterized in sub-Saharan Africa. Thus, this study was designed to describe demographics, clinical features, managements of childhood glaucoma, and improvements in visual acuity (VA) and intraocular pressure (IOP) from baseline to final visit. METHODS: This retrospective study included glaucoma patients below 18 years old who were diagnosed between September 2019 to August 2022. Childhood glaucoma diagnosis and classification was made as per the Childhood Glaucoma Research Network Classification (CGRN). RESULTS: A total of 105 children (181 eyes) were diagnosed with glaucoma. The most common type of childhood glaucoma was primary congenital glaucoma (PCG) constituting (42%, n = 76 eyes, 95% confidence interval (CI), 34.7-49.5%; P = 0.037), followed by glaucoma suspect (22.1%, n = 40 eyes, 95% CI, 16.3-28.9%; P < 0.001) and juvenile open-angle glaucoma (JOAG) (15.5%, n = 28 eyes, 95% CI, 10.5-21.6%; P < 0.001). While the most common type of secondary glaucoma was steroid-induced glaucoma, followed by glaucoma following cataract surgery. Bilateral glaucoma was found in 72.4% (n = 76 children, 95% CI, 62.8-80.7%; P < 0.001) of children. In both primary and secondary glaucoma, boys were affected more than girls, in ratio of 2:1 and 2.7:1, respectively. The mean age at presentation for patients with PCG was 2.7 years. Close to 93.4% (71) of PCG eyes were managed surgically, of which majority underwent combined trabeculotomy and trabeculectomy (CTT). Most of secondary glaucoma cases were treated medically. Overall, 85.3% (111) of eyes had successful control of IOP ≤ 21 mmHg. CONCLUSION: PCG was the most common type of childhood glaucoma. One of a well-recognized challenge in developing countries, late presentation of patients with PCG, was also observed in our study. Which highlights, the need of increasing access to eye-care service and awareness of childhood glaucoma as a major public health issue. Steroid-induced glaucoma was the most common type of secondary glaucoma; appropriate measures should be taken to prevent this preventable glaucoma.

Utilization and Dose Optimization of Angiotensin-Converting Enzyme Inhibitors among Heart Failure Patients in Southwest Ethiopia.

BACKGROUND: Optimal use of angiotensin-converting enzyme inhibitors (ACEIs) is crucial to improve the treatment outcome in heart failure patients. However, little is known about the optimal use of ACEIs among heart failure patients in our setting. Therefore, our study aimed to investigate the utilization and optimal dosing of ACEIs and associated factors in heart failure patients. METHOD: A cross-sectional study was conducted on randomly selected patients with heart failure between February 2016 and June 2016 at ambulatory care clinic of Jimma University Medical Center, Ethiopia. Data were collected through patient interview and review of medical records. Binary logistic regression analysis was done to identify factors associated with utilization and optimal dosing of ACEIs. RESULTS: A total of 308 patients were included in the final analysis of this study. The mean (±standard deviation) age of the patients was 52.3 ±15.5 years. Out of the total, 74.7% of the patients were receiving ACEIs. Among the patients who were receiving ACEIs, only 35.7% were taking optimal dose. New York Heart Association (NYHA) class III (Adjusted odds ratio (AOR):0.12, 95% confidence interval (CI):0.02-0.98), valvular heart disease (AOR: 0.27, 95% CI: 0.13-0.56), hypertension (AOR: 5.82, 95% CI: 2.16-15.71), and diabetes mellitus (AOR: 3.84, 95% CI: 1.07-13.86) were significantly associated with the use of ACEIs, whereas age ≥65 (AOR: 2.61, 95%CI: 1.20-5.64), previous hospitalization for heart failure (AOR: 2.08, 95%CI: 1.11-3.92), diuretic use (AOR: 5.60, 95%CI: 2.75-11.40), and dose of furosemide >40mg (AOR: 9.80, 95%CI: 3.00-31.98) were predictors of suboptimal dosing of ACEIs. CONCLUSION: Although majority of patients were receiving ACEIs, only about one-third were using optimal dosage. Valvular heart disease and NYHA class III were negatively associated with the use of ACEIs while previous hospitalization for heart failure, old age, diuretic use, and diuretic dose were predictors of suboptimal dosing of ACEIs. Therefore, more effort needs to be done to minimize the potentially modifiable risk factors of suboptimal use of ACEIs therapy in heart failure patients.

Drug therapy problems and contributing factors in the management of heart failure patients in Jimma University Specialized Hospital, Southwest Ethiopia.

BACKGROUND: 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. OBJECTIVE: 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. METHODS: 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. RESULT: 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). CONCLUSION: 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.

Predictors of adverse drug reaction-related hospitalisation in Southwest Ethiopia: A prospective cross-sectional study.

BACKGROUND: Adverse drug reactions (ADRs) are important causes of morbidity and mortality in the healthcare system; however, there are no studies reporting on the magnitude and risk factors associated with ADR-related hospitalisation in Ethiopia. OBJECTIVES: To characterise the reaction types and the drugs implicated in admission to Jimma University Specialized Hospital, Southwest Ethiopia, and to identify risk factors associated with ADR-related hospitalisation. METHODS: A prospective cross-sectional study was conducted from May 2015 to August 2016 among consenting patients aged ≥18 years consecutively admitted to medical wards taking at least one medication prior to admission. ADR-related hospitalisations were determined through expert review of medical records, laboratory tests, patient interviews and physical observation. ADR causality was assessed by the Naranjo algorithm followed by consensus review with internal medicine specialist. ADR preventability was assessed using Schumock and Thornton's criteria. Only definite and probable ADRs that provoked hospitalisation were considered. Binary logistic regression was used to identify independent predictors of ADR-related hospitalisation. RESULTS: Of 1,001 patients, 103 (10.3%) had ADR-related admissions. Common ADRs responsible for hospitalisation were hepatotoxicity (35, 29.4%) and acute kidney injury (27, 22.7%). The drug classes most frequently implicated were antitubercular agents (45, 25.0%) followed by antivirals (22, 12.2%) and diuretics (19, 10.6%). Independent predictors of ADR-related hospitalisation were body mass index (BMI) <18.5 kg/m2 (adjusted odd ratio [AOR] = 1.69; 95% confidence interval [CI] = 1.10-2.62; p = 0.047), pre-existing renal disease (AOR = 2.84; 95%CI = 1.38-5.85, p = 0.004), pre-existing liver disease (AOR = 2.61; 95%CI = 1.38-4.96; p = 0.003), number of comorbidities ≥4 (AOR = 2.09; 95%CI = 1.27-3.44; p = 0.004), number of drugs ≥6 (AOR = 2.02; 95%CI = 1.26-3.25; p = 0.004) and history of previous ADRs (AOR = 24.27; 95%CI = 11.29-52.17; p<0.001). Most ADRs (106, 89.1%) were preventable. CONCLUSIONS: ADRs were a common cause of hospitalisation. The majority of ADRs were preventable, highlighting the need for monitoring and review of patients with lower BMI, ADR history, renal and liver diseases, multiple comorbidities and medications. ADR predictors should be integrated into clinical pathways and pharmacovigilance systems.

Adverse-Drug-Reaction-Related Hospitalisations in Developed and Developing Countries: A Review of Prevalence and Contributing Factors.

Adverse drug reactions (ADRs) are one of the leading causes of hospital admissions and morbidity in developed countries and represent a substantial burden on healthcare delivery systems. However, there is little data available from low- and middle-income countries. This review compares the prevalence and characteristics of ADR-related hospitalisations in adults in developed and developing countries, including the mortality, severity and preventability associated with these events, commonly implicated drugs and contributing factors. A literature search was conducted via PubMed, Scopus, Web of Science, Embase, ProQuest and Google Scholar to find articles published in English from 2000 to 2015. Relevant observational studies were included. The median (with interquartile range [IQR]) prevalence of ADR-related hospitalisation in developed and developing countries was 6.3 % (3.3-11.0) and 5.5 % (1.1-16.9), respectively. The median proportions of preventable ADRs in developed and developing countries were 71.7 % (62.3-80.0) and 59.6 % (51.5-79.6), respectively. Similarly, the median proportions of ADRs resulting in mortality in developed and developing countries were 1.7 % (0.7-4.8) and 1.8 % (0.8-8.0), respectively. Commonly implicated drugs in both settings were antithrombotic, non-steroidal anti-inflammatory and cardiovascular drugs. Older age, female gender, number of medications, renal impairment and heart failure were reported to be associated with an increased risk for ADR-related hospitalisation in both settings while HIV/AIDS was implicated in developing countries only. The majority of ADRs were preventable in both settings, highlighting the importance of improving medication use, particularly in vulnerable patient groups such as the elderly, patients with multiple comorbidities and, in developing countries, patients with HIV/AIDS.

Incidence and determinants of medication errors and adverse drug events among hospitalized children in West Ethiopia.

BACKGROUND: Medication errors cause a large number of adverse drug events with negative patient health outcomes and are a major public-health burden contributing to 18.7-56 % of all adverse drug events among hospitalized patients. The aim of this study was to assess the incidence and determinants of medication errors and adverse drug events among hospitalized children. METHODS: A prospective observational study was conducted among hospitalized children in the pediatrics ward of Nekemte Referral Hospital from February 24 to March 28, 2014. Data were collected by using checklist guided observation and review of medication order sheets, medication administration records, and other medical charts of the patients. To identify the independent predictors of medication errors and adverse drug events, backward logistic regression analysis was used. Statistical significance was considered at p-value <0.05. RESULTS: Out of 233 patients who were included in the study, 175 (75.1 %) of patients were exposed to medication errors. From the 1,115 medication orders reviewed, 513 (46.0 %) medication errors, 75 (6.7 %) potential adverse drug events and 17 (1.5 %) actual adverse drug events were identified. Of the 17 adverse drug events, eight (47.0 %) were preventable while nine (53.0 %) were not. Most medication errors were dosing errors (118; 23.0 %), followed by wrong drug (109; 21.2 %) and wrong time of administration (79; 15.4 %). On multivariable logistic regression analysis, length of hospital stay of ≥ 5 days (AOR = 4.2, 95 % CI = 1.7-10.4, p = 0.002), and number of medication of 4-6 (AOR = 4.9, 95 % CI = 2.3-10.3, p < 0.001) and number of medication of ≥7 (AOR = 10.4, 95 % CI = 3.0-35.9, p < 0.001) were independent predictors of medication errors; and length of hospital stay of ≥ 5 days (AOR = 3.5, 95 % CI = 1.2-10.1, p = 0.023) and number of disease conditions =2 (AOR = 4.6, 95 % CI = 1.4-15.1, p = 0.014) were independent predictors of adverse drug events. CONCLUSION: Medication errors and adverse drug events are common on the pediatrics ward of Nekemte Referral Hospital. In particular, children with multiple medications and longer hospital stays, and those with co-morbidities and longer hospital stays, were at greater risk for medication errors and adverse drug events, respectively.

Antimicrobial Use-Related Problems and Predictors among Hospitalized Medical In-Patients in Southwest Ethiopia: Prospective Observational Study.

BACKGROUND: The spread of antimicrobial resistance in developing countries is associated with complex and interconnected factors, such as excessive and unnecessary prescribing of antimicrobials, increased self-prescribing by the people and poor quality of available antimicrobials. Moreover, the failure to implement infection control practices and the dearth of routine susceptibility testing and surveillance magnify the problems. This may spread the inappropriateness of prescribing, ending up with the spread of antimicrobial resistance. OBJECTIVE: The aim of this study was to assess antimicrobial use related problems and associated factors among patients admitted at Jimma University specialized hospital. METHODS: A hospital based prospective observational study design was employed at medical wards of Jimma University specialized hospital, Ethiopia. Data collected from patient medication charts and from the patients was analyzed using SPSS, version 16.0. Logistic regression was used to determine the associations between variables. Statistical significance was considered at p-value <0.05. RESULTS: Out of 152 study participants, at least one antimicrobial use problem was identified among 115(75.7%). Accordingly, additional antimicrobials were needed by 45(29.6%) of the patients, whereas they were unnecessary among 44(28.9%). Similarly, 17% of the patients were noncompliant to at least one antimicrobial therapy, while 8.6% experienced at least one type of adverse drug reaction. On the other hand, the coverage of the infectious medical condition in the national guidelines (AOR = 4.888) and the duration of hospital stay (AOR = 3.086) were the determinants of the antimicrobial use problems. CONCLUSION: Most of the antimicrobial use problems identified were related to delay of initiation of effective antimicrobials and excessive use; use without indication or using duplicates of broad spectrum antimicrobials or use for longer duration than recommended. The coverage of the infectious medical condition in the national treatment guidelines and the duration of hospital stay were the determinants of the antimicrobial use problems.

Determinants of glycemic control among insulin treated diabetic patients in Southwest Ethiopia: hospital based cross sectional study.

BACKGROUND: Good glycemic control reduces the risk of diabetic complications. Despite this, achieving good glycemic control remains a challenge in diabetic patients. The objective of this study is to identify determinants of glycemic control among insulin treated diabetic patients at Jimma University Hospital, Southwest Ethiopia. METHODS: Hospital-based cross-sectional study was conducted on systematically sampled 284 insulin-treated diabetic patients with a regular follow up. Data was collected by interviewing patients during hospital visits and reviewing respective databases of September 2010 to December 2011. Data collection took place from February 20 to May 20, 2012. Poor glycemic control was defined as fasting blood sugar (FBS) ≥126 mg/dL. Binary logistic regression analysis was conducted to identify predictors of poor glycemic control. RESULTS: Patients had a mean age of 41.37 (±15.08) years, 58.5% were males, the mean duration of insulin treatment was 4.9 (±5.1) years, 18.3% achieved good glycemic control (FBS≤126 mg/dL), 95% self-reported repeated use of disposable insulin syringe-needle and 48% correctly rotating insulin injection sites. Most (83.1%) of study participants had one or more complications. On multivariable logistic regression analyses, body weight of >70 Kg (AOR = 0.21; P<0.001), total daily dose of insulin ≤35 IU/day (AOR = 0.26; P<0.001), total daily dose variation without checking glycemic level (AOR = 3.39; P = 0.020), knowledge deficit about signs and symptoms of hyperglycemia (AOR = 3.60; P = 0.004), and non-adherence to dietary management (AOR = 0.35; P = 0.005) were independent predictors of poor glycemic control. CONCLUSIONS: The proportion of patients with poor glycemic control was high, which resulted in the development of one or more complications regardless of duration on insulin treatment. Hence, appropriate management of patients focusing on the relevant associated factors and independent predictors of poor glycemic control would be of great benefit in glycemic control.