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


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
20 Aug 2020
Historique:
received: 29 01 2020
accepted: 03 08 2020
entrez: 22 8 2020
pubmed: 21 8 2020
medline: 17 12 2020
Statut: epublish

Résumé

Studies 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. In 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. Of 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). Our 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.

Sections du résumé

BACKGROUND BACKGROUND
Studies 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.
METHODS METHODS
In 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.
RESULTS RESULTS
Of 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).
CONCLUSION CONCLUSIONS
Our 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.

Identifiants

pubmed: 32819317
doi: 10.1186/s12889-020-09329-6
pii: 10.1186/s12889-020-09329-6
pmc: PMC7439663
doi:

Substances chimiques

Prescription Drugs 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1263

Subventions

Organisme : NORFACE Welfare State Futures Programme
ID : 462-14-090
Organisme : NORFACE Welfare State Futures Programme
ID : 462-14-090

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Auteurs

Florence Samkange-Zeeb (F)

Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.

Liubov Borisova (L)

Department of Sociology, Uppsala University, Box 624, Se-751 26, Uppsala, Sweden.

Beatriz Padilla (B)

Department of Sociology, University of South Florida, 42 E Fowler Ave, Tampa, FL, 33620-5550, USA.
Instituto Universitario de Lisboa (ISCTE-IUL), Avenida das Forcas Armadas, 1649-026, Lisbon, Portugal.

Hannah Bradby (H)

Department of Sociology, Uppsala University, Box 624, Se-751 26, Uppsala, Sweden.

Jenny Phillimore (J)

School of Social Policy, Sociology and Criminology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, Great Britain.

Hajo Zeeb (H)

Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany. zeeb@leibniz-bips.de.
Health Sciences Bremen, University of Bremen, Bibliothekstr.1, 28359, Bremen, Germany. zeeb@leibniz-bips.de.

Tilman Brand (T)

Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.

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Classifications MeSH