Abstract

Background: A logistics management information system is a mechanism of recording and reporting that captures, analyzes, and displays logistics data. It works well if trained and skilled people record, analyze, manage, validate and use at all levels to make informed logistics decisions thus prevent shortages of commodities. Objective: To assess the logistics management information system performance for laboratory commodities in the case of public health facilities of West Shoa zone, Oromia regional state, Ethiopia Methods: A facility based concurrent explanatory mixed-method design was employed to assess the logistic management information system performance for laboratory commodities in public health facilities of West Shoa zone, Oromia regional state, Ethiopia from June 2021 to July 2021. Twenty health facilities were selected by using simple random sampling and purposely. Data were collected by reviewing logistic management information system tools. Data were checked for its completeness, coded, and entered into a statistical package for social sciences version 23 and analyzed using descriptive (percentage and frequency table) and inferential statistics (chi-square test). An in-depth interview was carried out to explore the challenges to logistic management information system performance and thematically analyzed. Results: Logistic management information system tools availability ranges from 30-100% with utilization ranges from 15-95%. Data quality like timeliness and completeness of the reports were 80% and 75% with 80% facility reporting rate. A significant association was observed between IFRR completeness and training pattern ꭓ2 (1, N = 109) = 4.127, P = 0.041, experience ꭓ2 (2, N = 109) = 12.203, P = 0.002, supervision ꭓ2 (5, N = 109) = 17.07, P = .004, and feedback ꭓ2 (4, N = 109) = 10.037, P = 0.04. Staff turnover, workload, and inadequate manpower were major challenges identified. Conclusion: The availability and utilization of logistic management information system tools need an improvement. Data quality like bin card accuracy, timeliness, and completeness still need focus. Staff turnover, lack of commitment, workload and inadequate manpower were the challenges identified.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call