Evidence map›Paper›PMID 32819317›Full record

ArticleBMC public health2020

Superdiversity, migration and use of internet-based health information - results of a cross-sectional survey conducted in 4 European countries.

Florence Samkange-Zeeb, Liubov Borisova, Beatriz Padilla, Hannah Bradby, Jenny Phillimore, Hajo Zeeb, Tilman Brand

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

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  11. A qualitative evaluation of internet information on hip and knee osteoarthritis.Annals of the Royal College of Surgeons of England · 2023
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  16. YouTubeDigital health
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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 5 countries.

Florence Samkange-ZeebDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
Liubov BorisovaDepartment of Sociology, Uppsala University, Box 624, Se-751 26, Uppsala, Sweden.
Beatriz PadillaDepartment of Sociology, University of South Florida, 42 E Fowler Ave, Tampa, FL, 33620-5550, USA.
Hannah BradbyDepartment of Sociology, Uppsala University, Box 624, Se-751 26, Uppsala, Sweden.
Jenny PhillimoreSchool of Social Policy, Sociology and Criminology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, Great Britain.
Hajo ZeebDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany. zeeb@leibniz-bips.de.ORCID http://orcid.org/0000-0001-7509-242X
Tilman BrandDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
Leibniz Institute for Prevention Research and Epidemiology - BIPS · DEUppsala University · SEUniversity of Birmingham · GBUniversity of Bremen · DEUniversity of South Florida · US

Funding

NORFACE Welfare State Futures Programme 462-14-090
6 · The paper itself

Abstract

backgroundStudies of factors associated with the use of Internet-based health information generally focus on general, rather than migrant populations. This study looked into the reasons why Internet-based health information is used and the effects of migration-related factors, other socio-demographic characteristics and health-related factors on the tendency to consult the Internet.

methodsIn a cross-sectional survey conducted in eight superdiverse neighbourhoods - two each in Birmingham, United Kingdom; Bremen, Germany; Lisbon, Portugal and Uppsala, Sweden - participants were presented with six scenarios and asked to indicate the resources they most relied on when addressing a health concern from a given list. The scenarios included establishing the underlying causes of a health concern and seeking information about prescription drugs, treatments and services available as part of the public healthcare system. The list of resources included the public healthcare system, alternative medicine, family and friends, and the Internet. Frequencies for which the Internet was consulted for each different scenario were calculated and compared across the participating cities. The association between consulting Internet-based health information and migration-related factors, and further socio-demographic characteristics as well as health-related factors such as self-reported health and health literacy was assessed using multivariable logistic regressions.

resultsOf the 2570 participants from all four cities who were included in the analyses, 47% had a migrant background and 35% originated from non-EU countries. About a third reported relying on Internet-based health information for at least one of the given scenarios. The two most frequently chosen scenarios were to find out about other possible treatments and prescription drugs. Generally, using Internet-based health information was negatively associated with being a first generation migrant (OR 0.65; 95% CI 0.46-0.93), having poor local language competency (OR 0.25; 95% CI 0.14-0.45), older age (≥60 years, OR 0.21; 95% CI 0.15-0.31), low education (OR 0.35; 95% CI 0.24-0.50) and positively associated with low trust in physicians (OR 2.13; 95% CI 1.47-3.10).

conclusionOur findings indicate the need to consider migration background and language competency when promoting the provision of healthcare services via the Internet so that information and services are widely accessible.

Indexed as

Emigrants and ImmigrantsEthnicityHealthInformation Seeking BehaviorInternetAdolescentAdultAgedAged, 80 and overCitiesCross-Sectional StudiesCultural DiversityEducational StatusEuropeFemaleHealth LiteracyPrescription DrugsDigital divideInternet-based health informationMigration

Identifiers

PMID32819317
PMCPMC7439663
OpenAlexW3062822815

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.