Evidence map›Paper›PMID 37115613›Full record

ArticleJournal of medical Internet research2023

Mapping Inequities in Digital Health Technology Within the World Health Organization's European Region Using PROGRESS PLUS: Scoping Review.

Katherine E Woolley, Diana Bright, Toby Ayres, Fiona Morgan, Kirsty Little, Alisha R Davies

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
24.9field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Katherine E WoolleyResearch and Evaluation Division, Public Health Wales, Cardiff, United Kingdom.ORCID 0000-0003-3743-9925
Diana BrightResearch and Evaluation Division, Public Health Wales, Cardiff, United Kingdom.ORCID 0000-0002-5683-7876
Toby AyresEvidence Service, Public Health Wales, Cardiff, United Kingdom.ORCID 0009-0001-6192-6785
Fiona MorganEvidence Service, Public Health Wales, Cardiff, United Kingdom.ORCID 0000-0001-8602-9178
Kirsty LittleEvidence Service, Public Health Wales, Cardiff, United Kingdom.ORCID 0009-0005-2146-8336
Alisha R DaviesResearch and Evaluation Division, Public Health Wales, Cardiff, United Kingdom.ORCID 0000-0003-3226-4134
Public Health Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of digital technologies within health care rapidly increased as services transferred to web-based platforms during the COVID-19 pandemic. Inequalities in digital health across the domains of equity are not routinely examined; yet, the long-term integration of digitally delivered services needs to consider such inequalities to ensure equitable benefits.

objectiveThis scoping review aimed to map inequities in access, use, and engagement with digital health technologies across equity domains.

methodsWe searched 4 electronic databases (MEDLINE, ASSIA, PsycINFO, and Scopus) for quantitative and mixed methods reviews and meta-analyses published between January 2016 and May 2022. Reviews were limited to those that included studies from the World Health Organization's European region. Extracted data were mapped against Cochrane's PROGRESS PLUS (place of residence, race, ethnicity, culture, and language, occupation, gender and sex, religion, education, socioeconomic status, social capital, and other characteristics) dimensions of equity.

resultsIn total, 404 unique citations were identified from the searches, and 2 citations were identified from other sources. After eligibility assessment, 22 reviews were included. Consistent evidence was found showing higher access to digital health technologies among patients who were of White ethnicity, were English speaking, and had no disability. There were no reviews that explored differences in access to digital health care by age, gender and sex, occupation, education, or homeless or substance misuse. Higher use of digital health technologies was observed among populations that were White, English speaking, younger, with a higher level of education, of higher economic status, and residents in urban areas. No clear evidence of differences in the use of digital technologies by occupation, gender and sex, disability, or homeless or substance misuse was found, nor was clear evidence found in the included reviews on inequalities in the engagement with digital technologies. Finally, no reviews were identified that explored differences by place of residence.

conclusionsDespite awareness of the potential impact of inequalities in digital health, there are important evidence gaps across multiple equity domains. The development of a common framework for evaluating digital health equity in new health initiatives and consistency in reporting findings is needed.

Indexed as

COVID-19Substance-Related DisordersDigital TechnologyHumansPandemicsWorld Health Organizationdigital healthhealth care disparitieshealth inequitieshealth services accessibilitymobile phonePROGRESS PLUS

Identifiers

PMID37115613
PMCPMC10182469
OpenAlexW4367311823

What OpenQuestion 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 OpenQuestion graph.