Evidence mapPaperPMID 42441648Full record

SynthesisPloS one2026

Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.

Angelo Capodici, Alessandro Filippeschi, Francesca Noci, Alessandra Michelucci, Safae El Motarajji, Vera Benedetto, Andrea Vandelli, Claudio Passino, Michele Emdin, Sabina Nuti and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 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

13 authors.

Angelo CapodiciInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Alessandro FilippeschiInstitute of Mechanical Intelligence, Sant'Anna School of Advanced Studies, Pisa, Italy.
Francesca NociInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Alessandra MichelucciInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Safae El MotarajjiDepartment of Public Health and Pediatrics, University of Torino, Turin, Italy.ORCID https://orcid.org/0009-0006-0925-0542
Vera BenedettoInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Andrea VandelliManagement and Healthcare Laboratory, Institute of Management, Sant'Anna School of Advanced Studies, Pisa, Italy.ORCID https://orcid.org/0000-0003-1198-6891
Claudio PassinoInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Michele EmdinInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Sabina NutiInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
Carlo Alberto AvizzanoInstitute of Mechanical Intelligence, Sant'Anna School of Advanced Studies, Pisa, Italy.
Nicola BellèManagement and Healthcare Laboratory, Institute of Management, Sant'Anna School of Advanced Studies, Pisa, Italy.
Alberto GiannoniInterdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.ORCID https://orcid.org/0000-0001-9314-2005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine expanded rapidly during the COVID-19 pandemic, yet its diffusion has remained uneven across health systems. Whether implementation challenges differ systematically across economic contexts, and what implications these differences hold for global digital health equity, has not been comprehensively characterized. This study presents an umbrella review (PROSPERO CRD42024615998) of systematic reviews and meta-analyses indexed in PubMed and Scopus through December 2025 that reported barriers and/or facilitators to telemedicine implementation. Methodological quality was appraised using R-AMSTAR. Reported items were extracted verbatim, embedded with the Universal Sentence Encoder, and grouped into thematic clusters using HDBSCAN density-based clustering, with parameters optimized by SLSQP for cluster cohesion (median intra-cluster similarity ≥ 0.5). Analyses were stratified by World Bank country income group to characterize context-specific implementation profiles, identify evidence gaps, and detect orphaned barriers, defined as challenges lacking any corresponding documented facilitator. A total of 161 systematic reviews were included, yielding 1,333 barriers and 504 facilitators (corresponding to a barrier-to-facilitator ratio of 2.6:1). Across all settings, the most frequently reported barriers were high costs (n = 106), technical issues (n = 94), and training and knowledge (n = 91). Thematic profiles differed markedly by income group: high-income countries reported predominantly second-generation challenges centered on workflow integration, interoperability, and user experience, whereas lower-middle-income countries reported foundational barriers centered on infrastructures and costs. Evidence produced from low-income countries was entirely absent. Several high-frequency barriers lacked corresponding facilitator clusters, indicating challenges for which the published literature provides no documented solutions. The global telemedicine evidence base is itself inequitably distributed and risks reinforcing the disparities it is intended to reduce. High-income settings require implementation research focused on human and organizational factors, whereas lower-income settings require foundational research and investment in basic infrastructures before workflow-level optimization becomes meaningful. Without context-specific, equity-oriented strategies, telemedicine risks widening rather than narrowing the global digital health divide.

Indexed as

COVID-19Healthcare DisparitiesTelemedicineDigital HealthEvidence GapsGlobal HealthHumansSARS-CoV-2

Identifiers

PMID42441648
PMCPMC13362133

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.