Antiretroviral treatment failure and associated factors among HIV patients on the first-line antiretroviral therapy at Mizan-Tepi University teaching hospital, Southwest Ethiopia: A cross-sectional study.

ABSTRACT: The use of Antiretroviral therapy (ART) has become a standard of care for the treatment of HIV infection. The therapy restores immune function and reduces HIV-related adverse outcomes. However, treatment failure erodes this advantage and leads to an increased morbidity and compromised quality of life in HIV patients. Thus, this study aimed to assess anti-retroviral treatment failure and associated factors among HIV patients on the first line ART at Mizan-Tepi University Teaching Hospital. A cross-sectional study was undertaken among adult patient who have been on ART and attending ART Clinic of Mizan-Tepi University Teaching Hospital from September 2014 to September 2018. Data were collected retrospectively by reviewing patients' medical charts using a standard structured questionnaire. Data were entered into Epi data version 4.0.2 and then exported to SPSS version 21.0 for analysis. To identify the predictors of anti-retroviral treatment failure, multiple stepwise backward logistic regression analysis were done. P value < .05 was considered as statistically significant. Among 221 patients included in the study, 118 (53.39%) were females. The mean weight of study participants at ART initiation was 57.04 kg. Of the 221 patients on the first line ART, 10 (4.5%) experienced treatment failure. Of these patients, 5 (50%) and 3 (30%) experienced virological failure and clinical failure, respectively. Functional status (AOR: 3, CI: [1.13-6.5], P < .001) and low baseline CD4 cell count (AOR: 4.3, CI: [3.4-10.6], P < .0001) were found to be an independent predictors of treatment failure. The rate of first-line ART treatment failure in the study setting was substantial. Functional status and low baseline CD4 cell count were found to be an independent predictors of virological, clinical and immunological failure. Therefore, more attention should be given for the lifestyle of pateints' on ART and maximize virological tests for monitoring treatment failures.

Healthcare Professionals' Willingness and Preparedness to Work During COVID-19 in Selected Hospitals of Southwest Ethiopia.

BACKGROUND: Many healthcare professionals are dying of COVID-19 while trying to save others. The loss in the healthcare workforce due to sickness and absence will double the risk of a crisis. Identifying barriers of willingness to work during epidemics outbreak and preparedness of healthcare professionals is important to minimize the shortage of human power. METHODS: Facility-based cross-sectional study was conducted among healthcare professionals working in the selected hospitals of Southwest Ethiopia from June 1-30/2020. The data entry was done by Epi-Data Manager version 4.4.1.0 and exported to SPSS version 23 for analysis. Multivariable logistic regression analysis with a backward stepwise approach was done to identify independent predictors of poor preparedness and willingness of the healthcare professionals to work during COVID-19 and Variables with P-value <0.05 were considered as a statistically significant determinant. RESULTS: Of 407 healthcare professionals who participated in the study, 246 (60.4%) were male. The mean age of the respondents was 28.47±5.60 years. Forty-seven (11.55%) Physicians, 59 (14.50%) pharmacy personnel, 52 (12.78%) Laboratory personnel, 31 (7.62%) Midwives, and 195 (47.91%) Nurses were included in the study. The healthcare professionals who were not prepared for the provision of services during COVID-19 and not willing to work during COVID-19 were 165 (40.5%) and 86 (21.1%) respectively. Having 6 to10 years' experience (AOR=4.046, CI: 1.05-15.58), and divorced marital status (AOR=7.855, CI: 1.781-34.65) were independent predictors of not willing to work during COVID-19. Similarly, lack of personal protective equipment (AOR=28.089, CI: 13.9-56.67) and shortage of infrastructure at the work place (AOR=28.1, CI: 13.9-56.67) were independent predictors of poor preparedness. CONCLUSION AND RECOMMENDATIONS: Healthcare professionals' willingness and preparedness to work during COVID-19 was low. Use of Telemedicine, provision of personal protective equipment, increasing hospital's safety with adequate infection control policy, and assigning staff who have experience of more than ten years in the risky wards of the hospitals may decrease staffs absentee and increase in the provision of continuous service.

Psychoactive Substance Use and Its Associated Factors among Truck Drivers in Ethiopia.

BACKGROUND: Road traffic accidents (RTAs) remain an important public health issue worldwide. Psychoactive substance use is one of the main contributors to the occurrence of traffic accidents, and its use by truck drivers is a global problem. Also, psychoactive substance use is a commonly observed behavior among truck drivers. To the best of our knowledge, no evidence shows the prevalence and factors associated with psychoactive substance use among truck drivers in Ethiopia. Therefore, this study was aimed at assessing the prevalence and factors associated with psychoactive substance use among truck drivers in Ethiopia. METHODS: A cross-sectional study was conducted among 400 systematically selected truck drivers at Modjo dry port in Ethiopia, from February 1 to March 1, 2018. The data were collected through face-to-face individual interviews using a structured questionnaire. The collected data were entered into EpiData version 4.2.0.0 and analyzed using SPSS version 20. Binary logistic regression analysis was computed to determine the association using crude and adjusted odds ratios at 95% confidence intervals. The level of significance was declared at p value < 0.05 in the multivariable binary logistic regression analysis. RESULTS: Of the 400 truck drivers interviewed, the overall one-month self-reported prevalence of psychoactive substance use was 70% (n = 280). In the multivariable binary logistic regression analysis, aged 38 years and above (AOR = 0.40, 95% CI [0.23-0.69]), Christianity religion (AOR = 0.52, 95% CI [0.28-0.97]), college and university education (AOR = 3.47, 95% CI [1.27-9.47]), having a family size of 3 or more (AOR = 0.34, 95% CI [0.20-0.60]), having 6 or more hours spent sleeping at night (AOR = 0.46, 95% CI [0.28-0.75]), and rest breaks between driving (AOR = 2.13, 95% CI [1.14-3.97]) were significantly associated with psychoactive substance use. CONCLUSION: The one-month prevalence of psychoactive substance use among truck drivers was remarkably high. We can conclude that psychoactive substance use is a public health problem among truck drivers, which is a major threat to themselves and others on the road. The sociodemographic and occupational factors are the factors associated with drivers' psychoactive substance use. Therefore, devising health education and counseling program for drivers to tackle the problem plays paramount importance.

Multi-Drug Resistant Post Corneal Repair Klebsiella oxytoca's Keratitis.

BACKGROUND: Bacterial keratitis can threaten vision through permanent corneal scarring and even perforation, resulting in loss of the eye. Klebsiella oxytoca is resistant to several antibiotics because it produces extended-spectrum ß-lactamase encapsulated with polysaccharide. Thus, this article is aimed at reporting a rare case of Klebsiella oxytoca-induced keratitis in Jimma University Medical Centre, Jimma, Ethiopia. CASE PRESENTATION: TA 25-year-old female patient presented with photophobia, redness, and purulent discharge from the right eye. She had matted cilia of the eyelid, conjunctiva injection, corneal ulcer, and deep fibrinous anterior chamber reaction. She had light perception (LP) visual acuity for the same eye and it was firm when examined digitally. The cornea-scleral repair was performed one month earlier, due to open globe injury. The patient had taken empirical fortified antibiotics before the identification of the specific pathogen. Culture and drug sensitivity test was performed in order to identify the aetiology. The result of the test revealed that the identified pathogen was multi-drug-resistant Klebsiella oxytoca. Based on this result and drug availability, high dose topical fluoroquinolones eye drops (Ciprofloxacin eye drop 0.3% and Ofloxacin 0.3%) were given. Besides, dexamethasone 0.1% eye drop was added to the aforementioned antibiotics. After four months of treatment, the visual outcome was changed from LP to hand motion. CONCLUSION: A rare case of multi-drug resistant Klebsiella oxytoca induced keratitis which was isolated in a biochemical test was successfully treated with a high dose of fluoroquinolones.

Medication Error and Its Contributing Factors Among Pediatric Patients Diagnosed with Infectious Diseases Admitted to Jimma University Medical Center, Southwest Ethiopia: Prospective Observational Study.

BACKGROUND: Medication errors in pediatric patients are grossly underreported. Pediatric patients are quite susceptible to medication errors. Potential injury by medication error is higher in young children and infants. It results in serious morbidity and mortality. Thus, this study aimed to assess medication error and its contributing factors among pediatric patients diagnosed with infectious diseases admitted to Jimma University Medical Center. METHODS: A prospective observational study was conducted among pediatric patients with infectious diseases admitted from April 1 to June 30, 2018. The patient's written informed consent was obtained after explaining the purpose of the study. The data were collected by structured questionnaire. Data were entered into EpiData version 4.0.2 and then exported to SPSS version 21.0 for analysis. To identify the predictors of medication error, backward logistic regression analysis was done. RESULTS: From a total of the 325 study participants, 136 (41.8%) patients had at least one medication error during their hospital stay. A total of 273 medication errors were identified among 136 patients. Medication errors frequently occurred at prescribing stage 94 (34.4%). The most common types of medication errors were wrong dosing 72 (26.4%) and wrong frequency 47 (17.2%). Presence of disease comorbidity (AOR=1.64, 95%CI=1.01-2.67), being male (AOR=1.79, 95%CI:1.13-2.86) and presence of two infectious diseases (AOR=1.96, 95%CI: 1.20-3.23) and more than three infectious diseases (AOR=2.04, 95%CI: 1.03-4.01) were independent predictors of medication error occurrence. CONCLUSION AND RECOMMENDATION: Medication errors were common in pediatric patients with infectious diseases in the study area. Presence of comorbidities, being male and the number of infectious diseases were associated with the occurrence of medication errors. Therefore, to reduce medication errors in the study setting, e-prescribing, computerized provider order entry, medication reconciliation, and collaboration of clinical pharmacists with other health professionals are needed.

Epilepsy Treatment Outcome and Its Predictors among Ambulatory Patients with Epilepsy at Mizan-Tepi University Teaching Hospital, Southwest Ethiopia.

BACKGROUND: Epilepsy is among the most common neurological disorders which is highly treatable with currently available antiepileptic drugs at a reasonable price. In Ethiopia, despite a number of studies revealed high prevalence of epilepsy, little is known on predictors of poorly controlled seizures. Thus, the aim of this study was to assess epilepsy treatment outcome and its predictors among patients with epilepsy on follow-up at the ambulatory care unit of Mizan-Tepi University Teaching Hospital, Southwest Ethiopia. METHODS: A hospital-based cross-sectional study involving patient interview and chart review was conducted from March 10 to April 10, 2018. Drug use patterns and sociodemographic data of the study participants were accustomed to descriptive statistics. Backward logistic regression analysis was done to identify predictors of poor seizure control. Statistical significance was considered at p value <0.05. RESULTS: From a total of 143 studied patients with epilepsy, 60.8% had uncontrolled seizures. Monotherapy (79%) was commonly used for the treatment of seizures, of which phenobarbital was the most commonly utilized single anticonvulsant drug (62.9%). The majority (72.7%) of the patients had developed one or more antiepileptic-related adverse effects. Medium medication adherence (adjusted odds ratio (AOR) = 5.4; 95% CI = 1.52-19.23; p=0.009), poor medication adherence (AOR = 8.16; 95% CI = 3.04-21.90; p=0.001), head injury before seizure occurrence (AOR = 4.9; 95% CI = 1.25-19.27; p=0.02), and seizure attacks ≥4 episodes/week before AEDs initiation (AOR = 8.52; % CI = 2.41-13.45; p=0.001) were the predictors of uncontrolled seizure. CONCLUSIONS: Based on our findings, more than half of the patients with epilepsy had poorly controlled seizures. Nonadherence to antiepileptic drugs, high frequency of seizure attack before AEDs initiation, and history of a head injury before the occurrence of seizure were predictors of uncontrolled seizure. Patient medication adherence should be increased by the free access of antiepileptic drugs and attention should be given for the patients with a history of head injury and high frequency of seizure attacks before AEDs initiation.

Depression and Its Associated Factors among Diabetes Mellitus Patients Attending Selected Hospitals in Southwest Ethiopia: A Cross-Sectional Study.

BACKGROUND: Diabetes mellitus and depression are very common diseases worldwide, and the prevalence rates of both conditions are increasing rapidly. Depression among patients with diabetes mellitus results in poor glycemic control through different mechanisms. Besides, the coexistence of a chronic medical illness with depression reduces the probability of recognizing and treating depression. The study is aimed at assessing the prevalence and factors associated with depression among adults with diabetes mellitus. METHODS: A hospital-based cross-sectional study was conducted among adult diabetes mellitus patients on follow-up in Mizan-Tepi University Teaching Hospital and Tepi General Hospital. A consecutive sampling technique was employed to recruit the study participants, and data were collected through face-to-face interview and medical chart review. Depression was measured using Patient Health Questionnaire-nine (PHQ-9). Binary logistic regression analysis was done and a p value of less than 0.05 was used as a level of significance. RESULTS: The prevalence of depression among study participants was 37.0% (95% CI 32.0%-42.0%). The majority (44.7%) of the patients had mild depression, while only 2% had severe depression. Being male (AOR = 1.92, 95% CI: 1.15-3.22), urban residence (AOR = 3.02, 95% CI: 1.57-5.78), single marital status (AOR = 7.72, 95% CI: 3.6-16.53), duration of diabetes mellitus 5 years and more (AOR = 2.00, 95% CI: 1.21-3.5), and having sexual dysfunction (AOR = 3.55, 95% CI: 2.13-5.91) were associated with increased odds of depression among diabetes mellitus patients. CONCLUSIONS: The prevalence of depression among diabetes mellitus was high. Therefore, the patients should be thoroughly screened for this comorbid condition, and the significant factors should be addressed during routine follow-up.

Adherence to Antiretroviral Therapy Among HIV-Positive Pregnant Women on followup at Mizan Tepi University Teaching and Tepi General Hospitals, Southwest Ethiopia.

Background: The introduction of highly active antiretroviral therapy has not only improved longevity in human immunodeficiency virus (HIV)-infected individuals but in addition has had a significant impact on the rate of mother-to-child transmission of the infection. Objective: To assess antiretroviral therapy adherence among HIV-positive pregnant women on follow-up at antiretroviral therapy clinic of Mizan Tepi University Teaching and Tepi General Hospitals. Methods: A descriptive cross-sectional study was undertaken in antiretroviral therapy clinics of Mizan Tepi University Teaching and Tepi General Hospitals from April to May 2018. Data were collected through face to face interview using structured and pretested questionnaires and analyzed using Statistical Package for Social Sciences version 20. Results: Majority of the patients had good adherence to their antiretroviral therapy, 68 (66.00%). Medication side effects, 12 (34.00%) and forgetfulness and distance of the hospital from home, each accounting 11 (31.00%) were the main reasons for nonadherence among nonadherent patients. Frequency of counseling (P = .000), CD4 count (χ2 = 37.529, P = .000), World Health Organization's clinical stage (χ2 = 17.515, P = .000), stigma (χ2 = 70.426, P = .000), and family support (χ2 = 46.383, P = .000) were found to be associated with patients' medication adherence. Conclusion: The overall patient adherence to antiretroviral therapy in the study facilities was good. Collaborative work among patients, health care organizations, and the public are necessary to tackle the adherence obstacles and enhance patient adherence to the prescribed medication.

Treatment Outcome and Its Determinants among Patients Admitted to Stroke Unit of Jimma University Medical Center, Southwest Ethiopia.

BACKGROUND: Stroke is a public health problem in Ethiopia. Despite the high prevalence of stroke in Ethiopia, there is a paucity of data with regard to drug treatment, treatment outcome, and risk factors of poor treatment outcome of stroke. Hence, this study is aimed at assessing treatment outcome and its determinants among patients admitted to stroke unit of Jimma University Medical Center (JUMC). METHODS: A two-year hospital-based retrospective cross-sectional study was employed to analyze the medical records of patients admitted with stroke to stroke unit of Jimma University Medical Centre from February 1st, 2016 to March 30th, 2018. Data was entered by Epidata manager version 4.0.2 and analyzed by SPSS version 24. Multivariable logistic regression analysis with the backward stepwise approach was done to identify independent predictors of poor treatment outcome of stroke. Variables with P value less than 0.05 were considered as statically significant determinants of poor treatment outcome. RESULTS: Of 220 patients with stroke admitted to the Jimma University, 67.30% were male. Nearly two thirds (63.18%) of them had poor treatment outcomes. Dyslipidimics were administered to 60% of the patients, and the most popular antiplatelet used was aspirin, which was prescribed to 67.3% the patients. Age ≥ 65 adjusted odd ratio ((AOR): 2.56; 95% CI: 1.95-9.86, P = 0.001), presence of comorbidity (AOR: 5.25; 95% CI: 1.08-17.69, P < 0.001), admission with hemorrhagic stroke (AOR: 18.99; 95% CI: 7.05-42.07, P < 0.001), and admission to the hospital after 24 hour of stroke onset (AOR: 4.98; 95% CI: 1.09-21.91, P = 0.03) were independent predictors of poor treatment outcomes. CONCLUSION: Substantial numbers of stroke patients had poor treatment outcomes. Elderly patients, patients diagnosed with hemorrhagic stroke, patients with comorbidity, and those with delayed hospital admission were more likely to have poor treatment outcome. Hence, frequent monitoring and care should be given for the aforementioned patients. Awareness creation on the importance of early admission should be delivered particularly for patients who have risk factors of stroke (cardiovascular diseases).

Determinants of poor glycemic control among adult patients with type 2 diabetes mellitus in Jimma University Medical Center, Jimma zone, south west Ethiopia: a case control study.

OBJECTIVE AND BACKGROUND: In 2015 approximately 5.0 million people were estimated to have died from diabetes. Poor glycemic control is the most determinant of diabetes-related complication and death. The percentage of patients whose blood glucose level are not well controlled remains high yet. The aim of this study is to identify the determinants of poor glycemic control at the diabetes clinic of the Jimma University Medical Center from April 01 to June 30/2017. METHODS: Facility-based case-control study design was conducted on patients with type 2 diabetes mellitus on follow-up at the diabetes clinic of Jimma University medical center. The consecutive sampling technique was employed and data were collected from April to June 2017. The data were entered using Epidata manager version 4.0.2 and exported to SPSS Version 21 for analysis. Logistic regression analysis was performed and variables with the p-value of less than 0.05 were considered as statistically significant determinants of poor glycemic control. RESULT: The study was conducted on 410 patients, of which 228 males and 182 females. The determinants of poor glycemic control were comorbidities [Adjusted odd ratio(AOR) = 2.56, 95%CI = 1.10-5.96], lack of self-monitoring blood glucose [AOR = 3.44,95%CI = 1.33-8.94], total cholesterol level of 200 mg/dl or more [AOR = 3.62, 95%CI = 1.46-8.97], diabetes duration of greater than 7 years [AOR = 3.08, 95%CI = 1.33-7.16], physical activity of three or less than three days [AOR = 4.79, 95%CI = 1.70-13.53], waist to hip ratio of 0.9 or greater for male and 0.85 or greater for female [AOR = 3.52, 95%CI = 1.23-10.11], being on metformin plus insulin [AOR = 9.22, 95%CI = 2.90-29.35] and being on insulin [AOR = 4.48, 95%CI = 1.52-13.16]. CONCLUSION: Lack of Self-monitoring blood glucose, presence of comorbidities, duration of diabetes mellitus, physical activity of three or less than three days, total cholesterol of 200 mg/dl or more, waist to hip ratio of 0.9 or greater for male and 0.85 or greater for female, and types of antidiabetic medication were the independent predictors of poor glycemic control. Effort should be made towards reducing these factors by the concerned body.

Determinants of poorly controlled asthma among asthmatic patients in Jimma University Medical Center, Southwest Ethiopia: a case control study.

OBJECTIVE: The aim of this study was to assess determinants of poorly controlled asthma among asthmatic patients on follow up at Jimma University Medical Center, Southwest Ethiopia. A facility based case control study involving chart review and patient interview was conducted from April 01/2017 to May 30/2017. Consecutive sampling method was used to select 121 cases and 121 controls. Descriptive statistics were used to present socio demographic data and drug prescription pattern while logistic regression was used to identify predictors of poorly controlled asthma. RESULTS: From a total of 242 studied asthmatic patients, 52.9% of controls and 44.6% of cases were males. Poor knowledge about asthma [Adjusted odd ratio(AOR) = 7.30; 95% confidence interval (CI) 1.72-30; P = 0.007], negative attitude about asthma [AOR = 5.10; 95% CI 1.40-18.7; P = 0.014], moderate asthma [AOR = 13.47; 95% CI 2.69-47.23; P = 0.002] and non-adherence to inhaled corticosteroid (ICS) [AOR = 8.52%; 95% CI 2.41-13.45; P = 0.001] were determinants of poorly controlled asthma.