Evidence mapPaperPMID 40925322Full record

SynthesisJournal of medical Internet research2025

Demographic and Socioeconomic Disparities in Telemedicine Use Among Individuals With Type 2 Diabetes in Primary Care: Systematic Review and Meta-Analysis.

Nawwarah Alfarwan, Maria Panagioti, Alexander Hodkinson, Lamiece Hassan, Salwa S Zghebi, Evangelos Kontopantelis

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Review
  3. Review
  4. Article
  5. 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

6 authors.

Nawwarah AlfarwanDivision of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Rd, Manchester, M13 9PL, United Kingdom, 44 7534135812.ORCID http://orcid.org/0009-0009-6949-4487
Maria PanagiotiDivision of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-7153-5745
Alexander HodkinsonDivision of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0003-2063-0977
Lamiece HassanDivision of Psychology and Mental Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-5888-422X
Salwa S ZghebiDivision of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-7978-1094
Evangelos KontopantelisDivision of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Rd, Manchester, M13 9PL, United Kingdom, 44 7534135812.ORCID http://orcid.org/0000-0001-6450-5815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine has revolutionized the management of type 2 diabetes mellitus (T2DM) in primary care by improving access to health care services and enhancing health outcomes. Despite these advancements, it remains unclear whether telemedicine has reduced access inequalities among different demographic and socioeconomic groups. Objective: This study aimed to investigate the most important demographic and socioeconomic factors associated with telemedicine use among individuals with T2DM in primary care. Methods: We conducted a systematic review and meta-analysis. Databases including MEDLINE, Embase, PsycINFO, Google Scholar, Scopus, and CINAHL were searched from inception to December 2023. The reference lists of eligible studies and other relevant systematic reviews were also searched. We included observational and cohort studies that assessed the effects of telemedicine interventions on individuals with T2DM in primary care. The core outcomes were the factors associated with telemedicine use, reported as adjusted odds ratios and 95% CIs for each factor, using a random-effects model. Heterogeneity was quantified using the I² statistic, and publication bias was assessed. The protocol for this review was registered with PROSPERO (CRD42024550410). Results: Of the 3006 records identified, 16 studies involving 71,336 patients were included in the meta-analysis. Female patients had higher odds of using telemedicine than males (pooled adjusted odds ratio [OR] 1.05, 95% CI 1.02-1.09). Older patients were significantly less likely to use telemedicine than younger patients (pooled OR 0.979, 95% CI 0.98-0.98). Compared with White patients, Black patients were less likely to use telemedicine (pooled OR 0.55, 95% CI 0.32-0.94), while no statistically significant differences were observed for Hispanic (pooled OR 1.075, 95% CI 0.36-3.24) or Asian participants (pooled OR 0.56, 95% CI 0.29-1.06). Patients with higher education levels had greater odds of using telemedicine than those with lower education levels (pooled OR 1.681, 95% CI 1.48-1.91). Conclusions: This systematic review and meta-analysis provide evidence of significant disparities in telemedicine use among men, older adults, Black individuals, and those with lower levels of education who have T2DM in primary care. Given that these groups are among the most vulnerable to T2DM, these disparities highlight the critical need for strategic interventions and robust policies that ensure telemedicine fosters equitable access to health care while preventing further exacerbation of existing health inequalities.

Indexed as

Diabetes Mellitus, Type 2Healthcare DisparitiesPrimary Health CareTelemedicineDemographyFemaleHumansMaleSocioeconomic Disparities in HealthSocioeconomic Factorsdemographic and socioeconomic disparitiesprimary caretelehealthtelemedicinetype 2 diabetes

Identifiers

PMID40925322
PMCPMC12419803

What Socratic holds

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Registered trials

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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 Socratic graph.