Evidence map›Paper›PMID 29871675›Full record

ArticleBMC health services research2018

Social media for health promotion in diabetes: study protocol for a participatory public health intervention design.

E Gabarron, M Bradway, L Fernandez-Luque, T Chomutare, A H Hansen, R Wynn, E Årsand

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.8field-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

27 citing papers in PubMed, 72 citations in OpenAlex.

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  12. Video or text? Education through a social media website in hypertension.International journal of cardiology. Cardiovascular risk and prevention · 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 2 institutions in 2 countries.

E GabarronNorwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway. elia.gabarron@ehealthresearch.no.ORCID 0000-0002-7188-550X
M BradwayNorwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway.
L Fernandez-LuqueQatar Computing Research Institute, Hamad Bin Khalifa University, Hamad Bin Khalifa Research Complex, Education City, Doha, Qatar.
T ChomutareNorwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway.
A H HansenDepartment of Community Medicine, University Hospital of North Norway, 9016, Tromsø, Norway.
R WynnDepartment of Clinical Medicine, Faculty of Health Sciences, The Arctic University of Norway, 9019, Tromsø, Norway.
E ÅrsandNorwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway.
University Hospital of North Norway · NOHamad bin Khalifa University · QA

Funding

Helse Nord RHF HNF1370-17
6 · The paper itself

Abstract

backgroundParticipatory health approaches are increasingly drawing attention among the scientific community, and could be used for health promotion programmes on diabetes through social media. The main aim of this project is to research how to best use social media to promote healthy lifestyles with and within the Norwegian population.

methodsThe design of the health promotion intervention (HPI) will be participatory, and will involve both a panel of healthcare experts and social media users following the Norwegian Diabetes Association. The panel of experts will agree on the contents by following the Delphi method, and social media users will participate in the definition of the HPI by expressing their opinions through an adhoc online questionnaire. The agreed contents between both parties to be used in the HPI will be posted on three social media channels (Facebook, Twitter and Instagram) along 24 months. The 3 months before starting the HPI, and the 3 months after the HPI will be used as control data. The effect of the HPI will be assessed by comparing formats, frequency, and reactions to the published HPI messages, as well as comparing potential changes in five support-intended communication behaviours expressed on social media, and variations in sentiment analysis before vs during and after the HPI. The HPI's effect on social media users' health-related lifestyles, online health behaviours, and satisfaction with the intervention will be assessed every 6 months through online questionnaires. A separate questionnaire will be used to assess the panel of experts' satisfaction and perceptions of the benefits for health professionals of a HPI as this one. DISCUSSION: The time constraints of today's medical practice combined with the piling demand of chronic conditions such as diabetes make any additional request of extra time used by health care professionals a challenge. Social media channels provide efficient, ubiquitous and user-friendly platforms that can encourage participation, engagement and action necessary from both those who receive and provide care to make health promotion interventions successful.

Indexed as

Diabetes MellitusSocial NetworkingAdultHealth BehaviorHealth PromotionHealth SurveysHumansInformation Seeking BehaviorLife StyleNorwayPublic HealthSocial MediaCommunity-based participatory researchDiabetesFacebookHealth educationHealth promotionInstagramSocial mediaTwitter

Identifiers

PMID29871675
PMCPMC5989446
OpenAlexW2806179738

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.