Evidence map›Paper›PMID 41883636›Full record

ArticleJournal of education and health promotion2026

Designing an entrepreneurial model in medical tourism for hospitals in Tehran.

Zeinab Daraei, Leila Riahi, Aniseh Nikravan, Kamran Hajinabi

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Zeinab DaraeiDepartment of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Leila RiahiDepartment of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Aniseh NikravanDepartment of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Kamran HajinabiDepartment of Health Services Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical tourism involves a diverse array of stakeholders within the healthcare industry, enabling patients to seek cost-effective and high-quality medical services in foreign countries. Thus, this study aimed to develop an entrepreneurship model specific to medical tourism for both public and private hospitals in Tehran. MATERIALS AND

methodsThis mixed-method study was conducted in four stages: a literature review, semistructured interviews, an expert panel, and validation of the model. The model was validated using a sample size of 336 individuals from hospitals in Tehran. Data analysis included thematic analysis, validity and reliability measurements, and exploratory and confirmatory factor analysis. SPSS-26, AMOS-24, and Maxqda 2020 software were used for analysis.

resultsResults from the scoping review incorporated 27 articles and identified 21 subthemes. Subsequently, the study categorized findings into 61 subthemes and six main themes representing key entrepreneurship components in medical tourism. The expert panel substantiated these themes and subthemes toward initial model development. Questionnaire reliability was robust at α = 0.884, while content validity demonstrated high values of the content validity ratio (CVR) = 0.70 and Content Validity Index CVI = 0.86. Confirmatory factor analysis indicated a good model fit with root mean square error of approximation (RMSEA) =0.075.

conclusionUltimately, policymakers play a pivotal role in cultivating an enabling environment for medical tourism through regulatory frameworks, fostering collaborations across public and private sectors, and institutionalizing the industry. Adequate allocation of financial and human resources, combined with fostering entrepreneurial and marketing adeptness within healthcare structures, is pivotal. Prioritizing these aspects can establish a sustainable medical tourism sector, satisfying manifold stakeholders and enriching the healthcare landscape significantly.

Indexed as

Entrepreneurshiphealth tourismhospitalmedical tourism

Identifiers

PMID41883636
PMCPMC13012416

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LicenceCC BY-NC-ND
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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.