Evidence map›Paper›PMID 32762695›Full record

ArticleBMC health services research2020

Health insurance benefit package in Iran: a qualitative policy process analysis.

Efat Mohamadi, Amirhossein Takian, Alireza Olyaeemanesh, Arash Rashidian, Ali Hassanzadeh, Moaven Razavi, Sadegh Ghazanfari

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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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  5. Identifying and prioritizing inefficiency causes in Iran's health system.Cost effectiveness and resource allocation : C/E · 2024
    Article
  6. Article
  7. Article
  8. Healthcare priority-setting criteria and social values in Iran: an investigation of local evidence.International journal of technology assessment in health care · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Efat MohamadiHealth Equity ResearchCenter (HERC), Tehran University of Medical Sciences, Tehran, Iran.
Amirhossein TakianHealth Equity ResearchCenter (HERC), Tehran University of Medical Sciences, Tehran, Iran.
Alireza OlyaeemaneshHealth Equity ResearchCenter (HERC), Tehran University of Medical Sciences, Tehran, Iran. arolyaee@gmail.com.
Arash RashidianDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ali HassanzadehHealth Insurance Organization of Iran, Tehran, Iran.
Moaven RazaviBrandeis University, Waltham, MA, USA.
Sadegh GhazanfariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundInsufficient transparency in prioritization of health services, multiple health insurance organizations with various and not-aligned policies, plus limited resources to provide comprehensive health coverage are among the challenges to design appropriate Health Insurance Benefit Package (HIBP) in Iran. This study aims to analyze Policy Process of Health Insurance Benefit Package in Iran.

methodData were collected through semi-structured interviews with 25 experts, plus document analysis and observation, from February 2014 until October 2016. Using both deductive and inductive approaches, two independent researchers conducted data content analysis. We used MAXQDA.11 software for data management.

resultsWe identified 10 main themes, plus 81 sub-themes related to development and implementation of HIBP. These included: lack of transparent criteria for inclusion of services within HIBP, inadequate use of scientific evidence to determine the HIBP, lack of evaluation systems, and weak decision-making process. We propose 11 solutions and 25 policy options to improve the situation.

conclusionThe design and implementation of HIBP did not follow an evidence-based and logical algorithm in Iran. Rather, political and financial influences at the macro level determined the decisions. This is rooted in social, cultural, and economic norms in the country, whereby political and economic factors had the greatest impact on the implementation of HIBP. To define a cost-effective HIBP in Iran, it is pivotal to develop transparent and evidence-based guidelines about the processes and the stewardship of HIBP, which are in line with upstream policies and societal characteristics. In addition, the possible conflict of interests and its harms should be minimized in advance.

Indexed as

Insurance BenefitsInsurance, HealthHumansIranPolicy MakingQualitative ResearchBenefit packageHealth insuranceIranPolicy process analysis

Identifiers

PMID32762695
PMCPMC7409638

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.