Evidence map›Paper›PMID 42544118›Full record

ArticleJournal of medical Internet research2026

The Multicriteria Decision Analysis for Extended Reality (MCDA-XR) Governance Framework for Health Care Adoption: Mixed Methods Development Study.

José Ferrer Costa, Manuel Armayones Ruiz, Pierre Bourdin-Kreitz

Abstract read
In one paragraph

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

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

José Ferrer CostaBehavioural Design Lab (BDLab), Doctoral Programme in Health and Psychology, Universitat Oberta de Catalunya, Pl Pau Casals 1, Badalona, Catalonia, 08911, Spain, 34 937407482.ORCID http://orcid.org/0000-0002-3789-6272
Manuel Armayones RuizBehavioural Design Lab (BDLab), Doctoral Programme in Health and Psychology, Universitat Oberta de Catalunya, Pl Pau Casals 1, Badalona, Catalonia, 08911, Spain, 34 937407482.ORCID http://orcid.org/0000-0001-6345-8711
Pierre Bourdin-KreitzComputer Sciences Department (EIMT), Universitat Oberta de Catalunya, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-8745-3787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Health services increasingly face decisions about how to integrate immersive technologies into routine practice. International guidance highlights the need for structured governance in digital health, yet extended reality (XR) initiatives are often launched through isolated pilots without a clear assessment of organizational readiness or implementation risk. Although factors influencing XR adoption are well documented, health care organizations and system-level decision-makers still lack practical, governance-oriented tools to translate these determinants into structured strategic decisions made before implementation. Objective: This study aims to develop multicriteria decision analysis for extended reality (MCDA-XR), a strategic governance framework that translates behavioral, organizational, and technical implementation determinants into a structured decision-support process for health care organizations. Methods: The study followed a sequential mixed methods design covering the first 2 phases of a 3-stage framework development and validation project. Phase 1 (identification) defined strategic criteria by integrating theoretical perspectives on organizational complexity, behavior change, technology acceptance, and immersive safety, together with a targeted review of XR implementation evidence. Phase 2 (construction) refined the framework through participatory sessions. A multidisciplinary group of 33 stakeholders, including professionals and managers from hospital and primary care settings, and postgraduate students, evaluated the proposed criteria for strategic relevance and operational clarity. This process resulted in a refined 10-criterion structure and the establishment of a dual-score assessment logic. Phase 3 (validation), planned as a subsequent step, will examine how the framework performs when applied prospectively in clinical settings. Results: The development process yielded a framework comprising 10 operational criteria grouped into 3 conceptual domains (human, organizational, and technical). Stakeholder ratings indicated high strategic relevance across all criteria, with mean scores ranging from 4.03 (SD 0.95) for workflow integration to 4.61 (SD 0.56) for safety and comfort. The final instrument applies a dual-assessment approach in which each criterion is rated separately for strategic importance and organizational readiness. Mapping these dimensions enables organizations to identify priority gaps, particularly areas of high importance and low readiness, and to distinguish between manageable constraints and critical barriers requiring targeted preparatory action prior to implementation. Conclusions: MCDA-XR addresses a key governance gap in XR implementation by providing a structured way to align adoption decisions with institutional priorities and operational constraints. Rather than relying on descriptive feasibility assessments, the framework is intended to support explicit prioritization and action-oriented decision-making at the organizational level. MCDA-XR is positioned for Phase 3 evaluation, which will examine the practical utility, interpretability, and implementation relevance of the framework when applied prospectively in real-world clinical deployments.

Indexed as

Decision Support TechniquesDelivery of Health CareDigital HealthHumansdecision support systemsdigital health governanceextended realityhealth services administrationimplementation sciencemulticriteria decision analysisorganizational readinessstrategic planning

Identifiers

PMID42544118
PMCPMC13430000

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.