Causes and Consequences of Lack of Transparency In Iran's Healthcare System: A Qualitative Interview Study

Lack of transparency in healthcare systems is a critical challenge that undermines accountability, fuels corruption, and erodes public trust. While transparency has been shown to generate multiple positive outcomes, the Iranian healthcare system continues to suffer from significant deficits in this area. To investigate this issue, a qualitative approach was employed, which involved conducting 35 in-depth interviews with experts and social activists engaged in healthcare system transparency at all levels, recruited through purposive stratified sampling method. This was followed by a thematic analysis aimed at exploring the causes and consequences of the phenomenon. The results indicated that the causes of the lack of transparency in the Iranian healthcare system can be categorized into four main domains: sociopolitical, psychological and behavioral, organizational, and ethical and legal factors. Additionally, the consequences of the lack of transparency can be classified into three primary categories: ethical, organizational, and social factors. The findings of this study provide needed data to enhance transparency and cultivate a culture of openness and accountability in the Iranian healthcare system and other similar contexts.

Authors

Institutions

Publication Details

Journal
Developing World Bioethics
Published
2025-12-07
DOI
https://doi.org/10.1111/dewb.70015
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Causes and Consequences of Lack of Transparency In Iran's Healthcare System: A Qualitative Interview Study

Mohammad Ranjbar, Mohsen Khosravi, Iravan Masoudi Asl, Mohammadreza Maleki et al.
Developing World Bioethics
Global Maternal and Child Health
article

Causes and Consequences of Lack of Transparency In Iran's Healthcare System: A Qualitative Interview Study

Mohammad Ranjbar, Mohsen Khosravi, Iravan Masoudi Asl, Mohammadreza Maleki, Hossein Bouzarjomehri, Yasaman Herandi
article en

Abstract

Lack of transparency in healthcare systems is a critical challenge that undermines accountability, fuels corruption, and erodes public trust. While transparency has been shown to generate multiple positive outcomes, the Iranian healthcare system continues to suffer from significant deficits in this area. To investigate this issue, a qualitative approach was employed, which involved conducting 35 in-depth interviews with experts and social activists engaged in healthcare system transparency at all levels, recruited through purposive stratified sampling method. This was followed by a thematic analysis aimed at exploring the causes and consequences of the phenomenon. The results indicated that the causes of the lack of transparency in the Iranian healthcare system can be categorized into four main domains: sociopolitical, psychological and behavioral, organizational, and ethical and legal factors. Additionally, the consequences of the lack of transparency can be classified into three primary categories: ethical, organizational, and social factors. The findings of this study provide needed data to enhance transparency and cultivate a culture of openness and accountability in the Iranian healthcare system and other similar contexts.

Developing World Bioethics
Iran University of Medical Sciences (IR), Shahid Sadoughi University of Medical Sciences and Health Services (IR), Iran National Science Foundation (IR), Health Information Management (BE), Birjand University of Medical Sciences (IR)
Openalex Percentile: Top 51%
Global Maternal and Child Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.