Designing a national framework for preventing fraud in Iran’s health system: a sequential mixed-methods study using qualitative analysis and Delphi consensus

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Journal
BMJ Open
Published
2025-11-01
DOI
https://doi.org/10.1136/bmjopen-2025-105644
Primary Topic
Imbalanced Data Classification Techniques
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article
Field-Weighted Citation Impact
0.00

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article

Designing a national framework for preventing fraud in Iran’s health system: a sequential mixed-methods study using qualitative analysis and Delphi consensus

Elaheh Hooshmand, Ali Vafaee Najar
BMJ Open
Imbalanced Data Classification Techniques
article

Designing a national framework for preventing fraud in Iran’s health system: a sequential mixed-methods study using qualitative analysis and Delphi consensus

Elaheh Hooshmand, Ali Vafaee Najar
article en

Abstract

No abstract available for this paper.
BMJ OpenVol. 15(11)
Mashhad University of Medical Sciences (IR)
Mashhad University of Medical Sciences
Openalex Percentile: Top 81%
Imbalanced Data Classification Techniques
DOIOpen Access PDFOpenAlex
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Designing a national framework for preventing fraud in Iran’s health system: a sequential mixed-methods study using qualitative analysis and Delphi consensus — Elaheh Hooshmand, Ali Vafaee Najar · BMJ Open (2025) | TGRS Research Map | TGRS