Evidence map›Paper›PMID 40460427›Full record

SynthesisJournal of medical Internet research2025

Sociodemographic and Socioeconomic Determinants for the Usage of Digital Patient Portals in Hospitals: Systematic Review and Meta-Analysis on the Digital Divide.

Nina Goldberg, Christin Herrmann, Paola Di Gion, Volker Hautsch, Klara Hefter, Georg Langebartels, Holger Pfaff, Lena Ansmann, Ute Karbach, Florian Wurster

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Nina GoldbergChair of Health Services Research in Rehabilitation, Faculty of Human Sciences & Faculty of Medicine, Institute of Medical Sociology, Health Services Research and Rehabilitation Science, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0009-0005-1095-5171
Christin HerrmannChair of Health Services Research in Rehabilitation, Faculty of Human Sciences & Faculty of Medicine, Institute of Medical Sociology, Health Services Research and Rehabilitation Science, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0003-1986-7512
Paola Di GionDepartment of Digital Clinical Systems, Clinical Affairs and Crisis Management Unit, University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0009-0008-0265-539X
Volker HautschDepartment of Digital Clinical Systems, Clinical Affairs and Crisis Management Unit, University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0009-0003-8954-8311
Klara HefterDepartment of Digital Clinical Systems, Clinical Affairs and Crisis Management Unit, University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0009-0007-9307-0137
Georg LangebartelsDepartment of Digital Clinical Systems, Clinical Affairs and Crisis Management Unit, University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-2448-2433
Holger PfaffCenter for Health Services Research (ZVFK), Faculty of Medicine and Cologne University Hospital, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-9154-6575
Lena AnsmannChair of Medical Sociology, Faculty of Human Sciences & Faculty of Medicine and University Hospital Cologne, Institute of Medical Sociology, Health Services Research and Rehabilitation Science, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-8628-7166
Ute KarbachChair of Health Services Research in Rehabilitation, Faculty of Human Sciences & Faculty of Medicine, Institute of Medical Sociology, Health Services Research and Rehabilitation Science, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0003-3479-9474
Florian WursterChair of Health Services Research in Rehabilitation, Faculty of Human Sciences & Faculty of Medicine, Institute of Medical Sociology, Health Services Research and Rehabilitation Science, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-5527-9238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital patient portals (PPs) are platforms that enhance patient engagement and promote active involvement in health care by providing remote access to personal health data. Although many hospitals are legally required to offer these portals, adoption varies widely among patients, often influenced by sociodemographic and socioeconomic determinants. Evidence suggests that higher income, education, employment status, and specific age groups correlate with increased portal usage, highlighting a digital divide. This study aims to analyze sociodemographic and socioeconomic determinants affecting digital PP usage, addressing inconsistencies in existing research and contributing to strategies for reducing digital health disparities.

objectiveThis study aimed to conduct a meta-analysis of the sociodemographic and socioeconomic factors contributing to the digital divide in the usage of digital PPs.

methodsA systematic review with meta-analysis was conducted using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines in PubMed, Web of Science Core Collection, and EBSCOhost. Screening involved 3 reviewers with consensus meetings to resolve discrepancies. Data on sociodemographic and socioeconomic factors and statistical outcomes were extracted, and study quality was assessed using the Mixed Methods Appraisal tool. Results were visualized using forest and funnel plots to assess heterogeneity and publication bias.

resultsA total of 2225 studies were identified through a systematic review, and after title and abstract screening, 17 studies were included in the quantitative and qualitative analysis. The qualitative analysis revealed that younger patients (younger than 65 y) were significantly more likely to use the digital PP, while the meta-analysis revealed that women had a 16% higher likelihood of using the digital PP than men. The relationship between income and digital PP usage was inconsistent, due to different scaling in different studies. A higher level of education was significantly associated with a 37% greater likelihood of using the digital PP in the meta-analysis. In addition, employed patients were 23% more likely to use the digital PP, while married patients had a 13% higher likelihood of using it than unmarried patients. Marital status and employment can be considered as measurable factors of social relationships.

conclusionsThe review confirms that sociodemographic and socioeconomic factors significantly influence the usage of digital PP in hospital care. Marital status shows that social support plays a vital role, with married patients 13% more likely to engage with digital PPs. It is worth noting that social support through connections to society via work or work colleagues can also play an important role as like as a partner at home, with employed individuals being 22% more likely to use digital PPs. Overall, sociodemographic factors, like marital status, primarily affect usage patterns, while socioeconomic factors, like employment, enable access, emphasizing the need for comprehensive support systems to bridge the digital divide in health care.

trial registrationGerman register of clinical trials DRKS00033125; https://drks.de/search/de/trial/DRKS00033125 and PROSPERO CRD42024567203; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024567203.

Indexed as

Digital DivideHospitalsPatient PortalsFemaleHumansSociodemographic FactorsSocioeconomic Factorsdigital dividee-Healthhospitalmeta-analysispatient portalsociodemographicsocioeconomic

Identifiers

PMID40460427
PMCPMC12174889

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.