Identifying Factors Affecting the Pharmaceutical Supply Chain Management in Iran

Yaser Esmaeillou, Iravan Masoudi Asl, Seyed Jamalleddin Tabibi, Abdol majid Cheraghali

Background: This study has been conducted with the aim to identify factors affecting the management of pharmaceutical supply chain in Iran. Materials and Methods: This study was of a combined(quantity–quality)type. The assessment tool was a Likert scale-based five-option questionnaire. Content validity assessment was obtained at 0.89 according to the CVR, and construct validity was at 0.971 using factor analysis.KMO statistics was very high and indicative of a correlation of scale items.In terms of reliability of assessment in re­searcher-made tools, the selected items were analysed, and the results obtained showed that the applied scales enjoyed significant reliability.The sample for the survey was100experts in the pharmaceutical system of the country’s Food and Drug Administration, pharmaceutical companies, technical officer of pharmacies and the ministry of health and medical education. They were selected by purposive stratified non-random sampling and snowball methods. The data was analysed by exploratory factor analysis using SPSS and LISREL. Results: The re­sults of the current study indicated a pattern with significant and direct relationship between independent and dependent variables of medicine supply chain management. The most im­portant indicators of medicine supply chain management in order of priority were distribu­tion management with impact factor, IT management, pharmaceutical structure, pharmaceuti­cal structure programming, coordination, enterprise resource planning, logistics management, knowledge management, financial management, globalization, customer relationship manage­ment, and medical insurance system. Conclusions: According to the patterning indexes, it can be mentioned that the representative model has had a good fit, and a desirable compliance between a structural model with experimental data and expert opinion has been provided.[GMJ.2017;6(4):346-55] DOI: 10.22086/gmj.v6i4.869

supply chain management, medicine, structural equation modelling

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