Evidence map›Paper›PMID 31144669›Full record

ArticleJournal of medical Internet research2019

Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study.

Anne Helen Hansen, Meghan Bradway, Jan Broz, Tor Claudi, Øystein Henriksen, Silje C Wangberg, Eirik Årsand

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  12. Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review.International journal of environmental research and public health · 2022
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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

7 authors at 5 institutions in 2 countries.

Anne Helen HansenCentre for Quality Improvement and Development, University Hospital of North Norway, Tromsø, Norway.ORCID 0000-0002-2731-6916
Meghan BradwayNorwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway.ORCID 0000-0003-4540-225X
Jan BrozDepartment of Internal Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-2465-7333
Tor ClaudiDepartment of Medicine, Nordland Hospital, Bodø, Norway.ORCID 0000-0002-0076-169X
Øystein HenriksenFaculty of Social Sciences, Nord University, Bodø, Norway.ORCID 0000-0002-4127-2905
Silje C WangbergDepartment of Health and Care Sciences, Faculty of Health Sciences, UiT-The Arctic University of Norway, Narvik, Norway.ORCID 0000-0001-9501-0989
Eirik ÅrsandNorwegian Centre for eHealth Research, University Hospital of North Norway, Tromsø, Norway.ORCID 0000-0002-9520-1408
University Hospital of North Norway · NOCharles University · CZNordland Hospital · NONord University · NOUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be highly valuable. However, little is known about the use of eHealth in different socioeconomic groups among people with diabetes.

objectiveThe aim of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and the association with socioeconomic status (SES) among people diagnosed with type 1 and type 2 diabetes mellitus (T1D and T2D, respectively).

methodsWe used email survey data from 1250 members of the Norwegian Diabetes Association (aged 18-89 years), collected in 2018. Eligible for analyses were the 1063 respondents having T1D (n=523) and T2D (n=545). 5 respondents reported having both diabetes types and thus entered into both groups. Using descriptive statistics, we estimated the use of the different types of eHealth. By logistic regressions, we studied the associations between the use of these types of eHealth and SES (education and household income), adjusted for gender, age, and self-rated health.

resultsWe found that 87.0% (447/514) of people with T1D and 77.7% (421/542) of people with T2D had used 1 or more forms of eHealth sometimes or often during the previous year. The proportion of people using search engines was the largest in both diagnostic groups, followed by apps, social media, and video services. We found a strong association between a high level of education and the use of search engines, whereas there were no educational differences for the use of apps, social media, or video services. In both diagnostic groups, high income was associated with the use of apps. In people with T1D, lower income was associated with the use of video services.

conclusionsThis paper indicates a digital divide among people with diabetes in Norway, with consequences that may contribute to sustaining and shaping inequalities in health outcomes. The strong relationship between higher education and the use of search engines, along with the finding that the use of apps, social media, and video services was not associated with education, indicates that adequate communication strategies for audiences with varying education levels should be a focus in future efforts to reduce inequalities in health outcomes.

Indexed as

Social ClassAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPrevalenceSocioeconomic FactorsSurveys and QuestionnairesTelemedicineYoung Adultcross-sectional studydiabetes mellitus, type 1diabetes mellitus, type 2educationeHealthhealth care utilizationincomeinequalitiesinternetNorway

Identifiers

PMID31144669
PMCPMC6658320
OpenAlexW2947140152

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.