Evidence map›Paper›PMID 31441289›Full record

ArticleInternational journal of health policy and management2019

Eliciting Preferences for Health Insurance in Iran Using Discrete Choice Experiment Analysis.

Ali Kazemi Karyani, Ali Akbari Sari, Abraha Woldemichael

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Article in International journal of health policy and management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Healthcare priority-setting criteria and social values in Iran: an investigation of local evidence.International journal of technology assessment in health care · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ali Kazemi KaryaniResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ali Akbari SariDepartment of Health Economics and Management, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Abraha WoldemichaelSchool of Public Health, College of Health Sciences, Mekelle University, Tigray, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe preferences of Iranians concerning the attributes of health insurance benefit packages are not well studied. This study aimed to elicit health insurance preferences among insured people in Iran during 2016.

methodsA mixed methods study using a discrete choice experiment (DCE) approach was conducted to elicit health insurance preferences on a total sample of 600 insured Iranians residing in Tehran. The final design of the DCE included 8 health insurance attributes. Data were analyzed using conditional logistic regression models.

resultsThe final model of this DCE study included 8 attributes, and the findings indicated statistically significant (P<.001) increase in the odds ratio (OR) of choosing health insurance at all levels of cost coverage except for the rehabilitation and para-clinical benefits, where at 70% cost coverage there was insignificant (P=.485) disutility (OR=0.95). With the increase in cost coverage level, the probability of choosing health insurance was significantly (P<.001) the highest for the private hospitals' benefits (OR=2.82) followed by public hospitals' benefits (OR=2.02) and outpatient benefits (OR=1.75), and the premium revealed statistically significant (P<.001) disutility (OR=0.96).

conclusionOur findings revealed that participants would be willing to choose health insurance plans with higher cost coverage of healthcare services and with lower premiums. However, the demographic characteristics, income, and health status of the insured individuals affected their health insurance preferences. The findings can contribute to the design of better health insurance policies, improve the participation of individuals in health insurance, and increase the insured individuals' utility from the insurance benefits packages.

Indexed as

Attitude to HealthHealth StatusAdultChoice BehaviorConsumer BehaviorFemaleHealth PromotionHumansInsurance CoverageInsurance, HealthIranMaleMiddle AgedSocioeconomic FactorsAttributesDiscrete ChoiceHealth InsuranceIranPreferences

Identifiers

PMID31441289
PMCPMC6706965

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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.