Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-5 (of 5 Records) |
Query Trace: Habte D[original query] |
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Use of electronic quality monitoring tool and central dashboard to improve clinical and programmatic decisions
Eskinder B , Habte D , Molla M , Hailemeskel F , Tewldebirhan E , Kebede T , Assefa T , Kabtyimer D , Amidino W , Lulseged S . Stud Health Technol Inform 2024 310 1472-1473 The HIV service quality improvement tool is deployed in 123 health facilities in Ethiopia. The tool uses a central dashboard for visualization and decision making at the health facility and higher levels of the health systems. The dashboard is developed on excel with analytics about HIV testing, case finding, treatment linkage and quality indicators. The dashboard was developed based on the requirements requested during discussions with HIV clinicians and the program team. |
Data-exchange between electronic medical record and viral-load laboratory database towards improving HIV care in Ethiopia
Petros A , Desalegn DM , Dessie GF , Mumme BA , Abebe K , Haile DM , Bogale HB , Mohammed MS , Tesfaye Y , Tedla Y , Gutta GA , Bekedami DL , Melaku Z , Habte D , Lulseged S . Stud Health Technol Inform 2024 310 1366-1367 Electronic viral load (VL) Test Ordering and Result Reporting System (ETORRS) was introduced to create data exchange between the existing VL database and the electronic medical record (EMR) system, with the aim of reducing laboratory test results turnaround time (TAT), improving data quality, and supporting timely clinical response for patients with high VL. This use case is an illustrative example of initiating and adopting the principles of health information exchange for a priority health program. |
Enhancing and promoting data management and systematic monitoring for an improved HIV/AIDS programs in Addis Ababa, Ethiopia
Habte D , Zemenfeskudus S , Endale M , Zeidan M , Getachew D , Woldemichael D , Wesene AS , Teklebirhan E , Eyayu F , Zewdie R , Yirga D , Amdino W , Melaku Z , Abayneh SA . BMC Health Serv Res 2022 22 (1) 43 Background: Ethiopia Population-based HIV Impact Assessment findings showed that in Addis Ababa, only 65.2% of people living with HIV (PLHIV) know their status. We present the enhanced HIV/AIDS data management and systematic monitoring experience in Addis Ababa City Administration Health Bureau (AACAHB). Methods: AACAHB established a command-post with leadership and technical team members from the health bureau, 10 sub-city health offices, and non-governmental stakeholders. The command-post improved governance, standardized HIV program implementation, and established accountability mechanism. A web-based database was established at each health facility, sub-city, and AACAHB level. Performance was scored (green, ≥75%; yellow, 50–74%; red, < 50%). The command-post reviewed performance on weekly basis. A mentorship team provided a weekly site-level support at underperforming public and private health facilities. At facility level, quality of data on recording tools such as registers, and individual medical records were maintained through continued review, feedback mechanisms and regular consistency check of data. Percentage and 95% confidence interval were computed to compare the improvement in program performance over time. Results: After 6 months of intervention period, the monthly New HIV case finding in 47 health facilities increased from 422 to 734 (1.7 times) and treatment initiation increased from 302 to 616 (2 times). After 6 months, the aggregate scoring for HIV testing at city level improved from yellow to green, HIV case finding improved from red to green, and treatment initiation improved from red to yellow. An increasing trend was noted in HIV positive case finding with statistically significant improvement from 43.4% [95% Confidence Interval: 40.23–46.59%] in May 2019 to 74.9% [95% Confidence Interval: 72.03–77.6%] in September 2019. Similarly, significant improvement was recorded for new HIV treatment from 30.9% [95% Confidence Interval: 28.01–33.94%] in May 2019 to 62.5% [95% Confidence Interval: 59.38–65.6%] in September 2019. Conclusions: Regular data driven HIV program review was institutionalized at city, sub-city and health facility levels which further improved HIV program monitoring and performance. The performance of HIV case finding and treatment initiation improved significantly via using intensified monitoring, data driven performance review, targeted site-level support based on the gap, and standardized approaches. © 2022, The Author(s). |
Prevalence of chronic kidney disease using estimated glomerular filtration rate among diabetes patients attending a tertiary clinic in Botswana
Rwegerera GM , Molefe-Baikai OJ , Masaka A , Shimwela M , Rivera YP , Oyewo TA , Godman BB , Massele A , Habte D . Hosp Pract (1995) 2018 46 (4) 214-220 BACKGROUND AND AIMS: Diabetes mellitus (DM) is one of the most common contributors of chronic kidney disease (CKD). The epidemiology of CKD, a concern among patients with DM, has not been studied in Botswana. The aim of this study was to estimate its prevalence among these patients to provide future guidance to both government personnel and physicians. METHODS: Observational cross-sectional study in a leading clinic in Botswana. Demographic and clinical data were obtained from patients through interviews and from their notes using a standard questionnaire. The study was conducted from July to October 2015. The estimated glomerular filtration rate (eGFR) was calculated using the Modification of Diet for Renal Disease equation. CKD was defined as an eGFR < 60 ml/min/1.73m2. Multivariable logistic regression analyses were performed to assess the associations between CKD and potential factors. RESULTS: Mean age and duration of diabetes mellitus among study participants were of 54.67 years (range 21-92 years) and 5.0 years respectively. Over half, i.e. 213/370 (57.6%) and 232/370 (62.7%), had an average blood pressure greater than 140/90mmHg and poor glycemic control (HbA1c >7%) respectively. 31/370 patients (8.4%) had CKD. However, only 18/370 (4.9%) had a diagnosis of CKD documented in their charts. Age, level of education, and duration of diabetes were independently associated with CKD. CONCLUSION: The prevalence of CKD by estimated eGFR was low compared to most previous studies. However, half of patients with CKD are not documented resulting in potential of prescription errors and drug toxicity. A substantial number of our patients had uncontrolled hypertension and poor glycemic control. Older age, low level of education and longer duration of DM were associated with CKD. There is a need to carry out prospective studies to determine association and role of glycemic and blood pressure control in CKD causation among patients with DM in Botswana. |
Metals exposures of residents living near the Akaki river in Addis Ababa, Ethiopia: A cross-sectional study
Yard E , Bayleyegn T , Abebe A , Mekonnen A , Murphy M , Caldwell KL , Luce R , Hunt DR , Tesfaye K , Abate M , Assefa T , Abera F , Habte K , Chala F , Lewis L , Kebede A . J Environ Public Health 2015 2015 935297 BACKGROUND: The Akaki River in Ethiopia has been found to contain elevated levels of several metals. Our objectives were to characterize metals exposures of residents living near the Akaki River and to assess metal levels in their drinking water. METHODS: In 2011, we conducted a cross-sectional study of 101 households in Akaki-Kality subcity (near the Akaki River) and 50 households in Yeka subcity (distant to the Akaki River). One willing adult in each household provided urine, blood, and drinking water sample. RESULTS: Urinary molybdenum (p < 0.001), tungsten (p < 0.001), lead (p < 0.001), uranium (p < 0.001), and mercury (p = 0.049) were higher in Akaki-Kality participants compared to Yeka participants. Participants in both subcities had low urinary iodine; 45% met the World Health Organization (WHO) classification for being at risk of moderate iodine deficiency. In Yeka, 47% of households exceeded the WHO aesthetic-based reference value for manganese; in Akaki-Kality, only 2% of households exceeded this value (p < 0.001). There was no correlation between metals levels in water samples and clinical specimens. CONCLUSIONS: Most of the exposures found during this investigation seem unlikely to cause acute health effects based on known toxic thresholds. However, toxicity data for many of these metals are very limited. |
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