Evidence map›Paper›PMID 42016424›Full record

ArticleJournal of education and health promotion2026

A DEMATEL-Based prioritization of key factors contributing to telemedicine development.

Sahar Salehi, Ali Akbar Haghdoost, Sahar Kousari, Mostafa Salehi

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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sahar SalehiDepartment of Biostatistics and Epidemiology, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
Ali Akbar HaghdoostHIV/STI Surveillance Research Center and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Sahar KousariDepartment of Science and Technology Futures Studies, National Research Institute for Science Policy (NRISP), Tehran, Iran.
Mostafa SalehiSchool of Intelligent Systems, College of Interdisciplinary Science and Technologies, University of Tehran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine has emerged as a revolutionary method for delivering healthcare, especially in response to the growing need for accessible and efficient medical services. This study examines the causal relationships between several factors contributing to the development of telemedicine and ranks them to inform effective decision-making. MATERIALS AND

methodsInitially, 26 key factors influencing the development of telemedicine were identified through a scoping review, which were then analyzed based on the STEEPLE framework. Subsequently, the DEMATEL method was employed to assess the interrelationships among these factors, with a questionnaire presented to 92 experts. The degree of impact of each factor on others was incorporated into an impact matrix. Once the matrix was normalized and the total relation matrix calculated, we examined the causal relationships, intensity of impact and dependence, and the significance of each factor.

resultsThe DEMATEL-based findings revealed the "environmental issues and associated health impacts" as the primary driver in the system, exerting the highest impact on other factors. "Workforce-related factors" emerged as the most dependent factor in the system. Moreover, the (D + R) value indicated that the "formulation of policies and business standards, funding, and workforce" constituted the most significant factor with the highest level of interaction with other system variables in advancing telemedicine.

conclusionGiven the complexity of healthcare systems, administrators are unable to consider every possible factor. Instead, they should focus their efforts and resources on the most influential and problematic elements to develop a sustainable and efficient health system.

Indexed as

DEMATELdigital healthmulticriteria decision-makingstrategic planningtelemedicine

Identifiers

PMID42016424
PMCPMC13094932

What OpenQuestion holds

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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.