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Alemu AA, Fenta TG, Gebregeorgise DT. Factors Affecting Inventory Management Performance of Tracer Medicines Across Primary Health Care Units, Gamo Zone, Southern Nations Nationalities and People's Region, Ethiopia. INTEGRATED PHARMACY RESEARCH AND PRACTICE 2023; 12:49-60. [PMID: 36860826 PMCID: PMC9969800 DOI: 10.2147/iprp.s401888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Background Inventory management ensures access to tracer medicines (TMs) for priority health-care needs. Factors that impede its performance across primary health-care units (PHCUs) are less explored in Ethiopia. The current study assessed factors affecting the inventory management performance of TMs across PHCUs, Gamo zone. Methods A cross-sectional survey was conducted in 46 PHCUs between April 1 and May 30, 2021. The data were collected using document review and physical observation. A stratified simple random sampling was employed. The data were analyzed by SPSS version 20. The results were summarized as mean and percentage. Pearson's product-moment coefficient and ANOVA were employed at a 95% CI. The correlation test established the relationships between dependent and independent variables. ANOVA test compared the performance between PHCUs. Results The inventory management performance of TMs across PHCUs is below the standard. On average stock according to the plan is 18%, the stock-out rate is 43%, the inventory accuracy rate is 78.5%, and availability across PHCUs is 78%. 72.3% of visited PHCUs fulfill storage condition criteria. Inventory management performance decreases downward the levels of PHCUs. There is a positive correlation between the availability of TMs and supplier order fill rate, r = 0.82, p < 0.01; between the availability of TMs and report accuracy, r = 0.54, p < 0.001; and between TMs stocked according to the plan and supplier order fill rate, r = 0.46, p < 0.01. The inventory accuracy was significantly different between primary hospitals and health posts (p = 0.009, 95% C.I = [7.57, 60.93]); and health centers and health posts (p = 0.016, 95% CI = [2.32, 25.97]). Conclusion The inventory management performance of TMs is below the standard. It is attributable to supplier performance, the quality of the report, and performance variation across PHCUs. These result in the interruption of TMs in PHCUs.
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Affiliation(s)
- Aynoshe Adio Alemu
- Department of Pharmacy, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia,Correspondence: Aynoshe Adio Alemu, Department of Pharmacy, College of Health Sciences, Arba Minch University, Arba Minch, Ethiopia, Email
| | - Teferi Gedif Fenta
- Department of Pharmaceutics and Social Pharmacy, School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia
| | - Dawit Teshome Gebregeorgise
- Department of Pharmaceutics and Social Pharmacy, School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia
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Daka DW, Wordofa MA, Berhanu D, Persson LÅ, Woldie M. Quality of sick child management by health extension workers: role of a complex improvement intervention. BMC Health Serv Res 2023; 23:165. [PMID: 36797722 PMCID: PMC9933397 DOI: 10.1186/s12913-023-09131-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/31/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Despite the expansion of the Integrated Community Case Management services for childhood illness, quality and utilization of services have remained low. To address the problem, the Government of Ethiopia introduced a complex intervention that included community engagement, capacity building of health workers and enhanced district-level ownership of sick child management. We examined whether this complex intervention was associated with improved management of sick children by health extension workers. METHODS The study was conducted in four Ethiopian regions. A baseline survey was conducted in 26 intervention and 26 comparison districts from December 2016 to February 2017, followed by an end-line survey 24 months later. We observed health extension workers' consultations of sick 2-59 months old children. The analysis has evaluated if children with pneumonia, diarrhoea and malnutrition were assessed, classified and treated according to guidelines, and included difference-in-difference analyses. RESULTS We observed 1325 consultations of sick children. At baseline, 86% of the sick children with cough in the intervention areas and 85% in comparison areas were assessed according to the guidelines, without any change at end-line associated with the intervention (difference-in-difference = -21%, p = 0.55). Sixty-two percent of children were assessed for dehydration at baseline in intervention and 47% in comparison areas, with no improvement associated with the intervention. Similarly, 87% of sick children in intervention and 91% in comparison areas were assessed for malnutrition, with no change over time associated with the intervention (difference-in-difference = 5%, p = 0.16). Appropriate pneumonia treatment with antibiotics declined and diarrhea treatment increased in both areas. Half of the malnourished children received ready-to-use therapeutic foods without any improvement associated with the intervention. CONCLUSION The intervention was not associated with improved quality of the health extension workers' management of sick children. The lack of association may be linked to low fidelity in the implementation of the intervention. Our findings suggest that training healthcare providers without continued clinical mentoring and support does not improve the quality of care. Community-based programs can be strengthened by ensuring high coverage and continued clinical mentorships, supportive supervision, and supply of medicines and other essential commodities. TRIAL REGISTRATION NUMBER ISRCTN12040912, retrospectively registered on 19/12/ 2017.
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Affiliation(s)
- Dawit Wolde Daka
- Faculty of Public Health, Department of Health Policy and Management, Jimma University, Jimma, Ethiopia.
| | - Muluemebet Abera Wordofa
- grid.411903.e0000 0001 2034 9160Faculty of Public Health, Department of Population and Family Health, Jimma University, Jimma, Ethiopia
| | - Della Berhanu
- grid.452387.f0000 0001 0508 7211Ethiopian Public Health Institute, Addis Ababa, Ethiopia ,grid.8991.90000 0004 0425 469XThe London School of Hygiene & Tropical Medicine, London, UK
| | - Lars Åke Persson
- grid.452387.f0000 0001 0508 7211Ethiopian Public Health Institute, Addis Ababa, Ethiopia ,grid.8991.90000 0004 0425 469XThe London School of Hygiene & Tropical Medicine, London, UK
| | - Mirkuzie Woldie
- grid.411903.e0000 0001 2034 9160Faculty of Public Health, Department of Health Policy and Management, Jimma University, Jimma, Ethiopia ,Fenot Project, University of British Columbia, School of Public Health and Population, Addis Ababa, Ethiopia
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Tesema AG, Peiris D, Joshi R, Abimbola S, Fentaye FW, Teklu AM, Kinfu Y. Exploring complementary and competitive relations between non-communicable disease services and other health extension programme services in Ethiopia: a multilevel analysis. BMJ Glob Health 2022; 7:bmjgh-2022-009025. [PMID: 35738842 PMCID: PMC9226884 DOI: 10.1136/bmjgh-2022-009025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/24/2022] [Indexed: 11/06/2022] Open
Abstract
Background Ethiopia has recently revitalised its health extension programme (HEP) to address the rising burden of non-communicable diseases (NCDs). We examined the effects of existing essential HEP services on the uptake of NCD preventive services. Methods We applied a mixed-effect non-linear model with a logit link function to identify factors associated with a community resident’s probability of receiving NCD prevention services through the HEP. The data were drawn from the Ethiopian HEP assessment Survey conducted in all regions. The analysis included 9680 community residents, 261 health extension workers (HEWs), 153 health posts, 119 health centres, 55 districts and 9 regions, which we combined hierarchically into a single database. Results In the 12 months before the survey, 22% of the sample population reported receiving NCD preventive service at least once. The probability of receiving NCD prevention service increased by up to 25% (OR=1.25, CI 1.01 to 1.53) if health centres routinely gathered NCD data from health posts and by up to 48% (OR=.48, CI 1.24 to 1.78) if they provided general (ie, non-NCD specific) training to HEWs. NCD preventive service uptake also increased if the HEW held level IV qualification (OR=1.32, CI 1.06 to 1.65) and lived in the community (OR=1.24, CI 1.03 to 1.49). Conversely, if facilities delayed general performance reviews of HEWs by a month, uptake of NCD prevention services decreased by 6% (OR=0.94, CI 0.91 to 0.97). We observed that better HIV/AIDS programme performance was associated with a lower uptake of NCD preventive services (OR=0.15, CI 0.03 to 0.85). Conclusion Despite efforts to improve NCD services through the HEP, the coverage remains limited. A strong HEP is good for the uptake of NCD preventive services. However, integration requires a careful balance, so that the success already recorded for some existing programmes is not lost.
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Affiliation(s)
- Azeb Gebresilassie Tesema
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia .,School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - David Peiris
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Rohina Joshi
- School of Population Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,The George Institute for Global Health, New Delhi, India
| | - Seye Abimbola
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,School of Public Health, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia
| | - Fasil Walelign Fentaye
- Monitoring, Evaluation, Research, and Quality Improvement (MERQ), Ethiopia office, MERQ Consultancy PLC, Addis Ababa, Ethiopia
| | - Alula M Teklu
- Monitoring, Evaluation, Research, and Quality Improvement (MERQ), Ethiopia office, MERQ Consultancy PLC, Addis Ababa, Ethiopia
| | - Yohannes Kinfu
- Department of Public Health, Faculty of Health, University of Canberra, Canberra, ACT, Australia.,Department of Health Science Metrics, University of Washington, Seattle, Washington, USA
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