Evidence map›Paper›PMID 41102765›Full record

ArticleBMC health services research2025

Digital evolution and emerging inequalities in healthcare: a scoping review through the lens of knowledge management.

Walter Vesperi, Marzia Ventura, Concetta Lucia Cristofaro, Anna Maria Melina

Abstract readScoping Review
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Walter VesperiResearch Fellow in Organisation studies and HRM, University of Palermo, Palermo, Italy. walter.vesperi@unipa.it.
Marzia VenturaAssociate Professor in Organisation studies and HRM, Magna Graecia University, Catanzaro, Italy.
Concetta Lucia CristofaroAssociate Professor in Organisation studies and HRM, Università degli Studi eCampus, Novedrate, Italy.
Anna Maria MelinaResearch Fellow in Organisation studies and HRM, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid diffusion of digital technologies throughout the healthcare system has created new opportunities to improve the use, efficiency and continuity of healthcare services. The academic debate has largely explored the implementation of digital tools and their impact on clinical processes and health outcomes. Despite the potential benefits, the digital evolution of the healthcare system could generate or aggravate existing inequalities. Although existing studies on digital technologies in healthcare are consolidated and numerous, little attention has been paid to the emergence of inequalities at individual, organisational and system levels. To fill this gap, this study aims to focus on how emerging inequalities are framed in the academic debate, with a focus on the socio-demographic, technological and organisational factors of digital evolution of the healthcare system. This study is based on a knowledge management perspective.

methodsThis study uses a scoping review approach and is carried out following the PRISMA-ScR guidelines. The search was conducted without time limits on three databases, and only peer-reviewed articles in English were included. The review included qualitative, quantitative and mixed-methods studies. Three analysis domains were identified: sociodemographic factors, technological factors and health and healthcare-related factors. A bibliometric and co-occurrence analysis was also conducted using VOSviewer to visualise the structure of the research landscape and identify thematic clusters.

resultsFrom 3,303 reviewed articles, 64 studies met the inclusion criteria. The results highlight that the digital evolution of the healthcare system can exacerbate the exposure of new social categories to inequalities. The factors of emerging inequalities in the digital evolution of healthcare have been identified and classified into three areas: (1) socio-demographic factors, (2) technological factors and (3) organisational and systemic factors. Three different historical periods have been identified within the academic debate. In fact, through in-depth analysis and bibliometric analysis, we have observed an increasing diversification of the topics.

conclusionDigitalisation of healthcare can generate inequalities. Although research on this topic in the literature is scarce, a growing number of scholars have begun to address it. Future research should explore user experiences, the effectiveness of healthcare provider training, coordination mechanisms and public reimbursement policies to reduce inequalities.

Indexed as

Digital TechnologyHealthcare DisparitiesDigital HealthHumansSocioeconomic Disparities in HealthSocioeconomic FactorsAccessibilityDigital healthDigital transformation in healthcareInequalitiesKnowledge managementOrganisational readiness, health literacyScoping review

Identifiers

PMID41102765
PMCPMC12532871

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.