Gesundheitswissenschaftliches Journal

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Abstrakt

Determinants of the Performance of Logistic Management Information System in the Ethiopian Health Service Delivery Points

Yinebeb Sileshi, Muluken Ayalew and Firew Mulatu

The aim of this study was to examine the determinants of the performance of logistics management information system in the health service delivery points under Jimma Zone, Oromia, Ethiopia. The research intended to address particularly the determinants of facility related factors, personal related factors, managerial related factors, information related and supply chain related factors. The study employed both descriptive and explanatory research methods. This research design facilitates a better understanding of the determinants of LMIS performance. To accomplish the study, the researcher applied a mixed approach. The primary sources of data were collected by interview and questionnaire from respondents of health service delivery points in Jimma zone. The secondary data was gathered from recorded documents, LMIS data sheet, RRF, bin card, stock card. The study targeted all (141) health service delivery points in the Jimma zone. Semi-structured questionnaires were developed and distributed to the entire service delivery points in Jimma zone. The collected data were analyzed using SPSS statistical software. The results from the regression analysis indicated that personnel related factors, managerial related factors, information related factors, and supply chain related factors have significantly and positively determine the LMIS performance explaining 72.8% of variations in dataset. The study concluded that for LMIS performance, particularly function to achieve its effectiveness facility related factors failed to significantly predict the LMIS performance with lack of automated data recording tools (electronic bin cards) and poor system implementation at the delivery points. The study recommends Jimma zone health facilities should look at the issue of facility infrastructures for system implementation and decision making in ensuring LMIS standards meet the users’ needs.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert