Evidence map›Paper›PMID 32641045›Full record

ArticleBMC health services research2020

An application of analytic network process model in supporting decision making to address pharmaceutical shortage.

Leila Zarei, Najmeh Moradi, Farzad Peiravian, Gholamhosein Mehralian

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Leila ZareiPharmacoeconomics and Pharma Management, Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-4459-8599
Najmeh MoradiPharmacoeconomics and Pharma Management, Health Management and Economics Research Centre, Iran University of Medical Sciences, Tehran, Iran.
Farzad PeiravianPharmacoeconomics and Pharma Management, School of Pharmacy, Shahid Beheshti University of MedicalSciences, Tehran, Iran. peiravianfarzad@gmail.com.
Gholamhosein MehralianPharmacoeconomics and Pharma Management, School of Pharmacy, Shahid Beheshti University of MedicalSciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to develop an Analytic Network Process (ANP) model to assist policymakers in identifying and prioritizing allocation indicators, which are being used or should be used to distribute drugs in short supply among different provinces.

methodsThe model encompasses the interactions between various indicators and efficiency, equity, and effectiveness paradigms. Accordingly, a set of clusters and elements, which were associated with the allocation of drugs in short supply in Iran's pharmaceutical system, were detected to develop the model and were then compared in pairs in terms of a specified factor to show the priorities.

resultsEquity had the highest priority (0.459) following by Efficiency (0.37), and Effectiveness (0.171). The 4 most important allocation indicator were "number of prescriptions" (0.26) and "total bed occupancy rate" (0.19) related to equity, "total population" (0.21) in efficiency and "the burden of rare and incurable disease" (0.07) in effectiveness paradigm.

conclusionsThe capability to overcome inefficient resource allocation patterns caused by both oversupply and undersupply derived from historic resource allocation may be highly limited in the absence of the need indicators. The quality of the decision is related to a careful balancing act of the three paradigms which represents roughly the triple aim of public healthcare systems: clinical improvement (effectiveness), population health improvement (equity and access), and reducing cost (economic aspects -efficiency).

Indexed as

Analytic Hierarchy ProcessHumansIranPharmaceutical PreparationsResource AllocationPharmaceutical PreparationsAnalytic network processEffectivenessEfficiencyEquityNeed-based resource allocationResource allocationScarce drugs allocation

Identifiers

PMID32641045
PMCPMC7346520

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