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
Author Information
  1. E Gabarron: Norwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway. elia.gabarron@ehealthresearch.no. ORCID
  2. M Bradway: Norwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway.
  3. L Fernandez-Luque: Qatar Computing Research Institute, Hamad Bin Khalifa University, Hamad Bin Khalifa Research Complex, Education City, Doha, Qatar.
  4. T Chomutare: Norwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway.
  5. A H Hansen: Department of Community Medicine, University Hospital of North Norway, 9016, Tromsø, Norway.
  6. R Wynn: Department of Clinical Medicine, Faculty of Health Sciences, The Arctic University of Norway, 9019, Tromsø, Norway.
  7. E Årsand: Norwegian Centre for E-health research, University Hospital of North Norway, Sykehusvegen 23, 9019, Tromsø, Norway.

Abstract

BACKGROUND: Participatory 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.
METHODS: The 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.

Keywords

References

  1. J Med Internet Res. 2015 Mar 17;17(3):e70 [PMID: 25783036]
  2. Diabetes Spectr. 2015 Jan;28(1):45-54 [PMID: 25717278]
  3. JMIR Public Health Surveill. 2016 Jul 11;2(2):e32 [PMID: 27400979]
  4. Can J Diabetes. 2017 Feb;41(1):97-101 [PMID: 28126155]
  5. J Med Internet Res. 2016 Jan 06;18(1):e4 [PMID: 26740148]
  6. Artif Intell Med. 2015 May;64(1):17-27 [PMID: 25982909]
  7. J Health Commun. 2010;15 Suppl 3:279-93 [PMID: 21154099]
  8. Qual Health Res. 2015 Oct;25(10):1372-82 [PMID: 25904674]
  9. BMJ. 2014 Oct 14;349:g6178 [PMID: 25315514]
  10. J Med Internet Res. 2017 May 30;19(5):e187 [PMID: 28559223]
  11. Glob Health Action. 2016 Sep 19;9:32193 [PMID: 27649758]
  12. Diabetes Care. 2015 Apr;38(4):e51-2 [PMID: 25805869]
  13. Stud Health Technol Inform. 2015;216:972 [PMID: 26262274]
  14. J Diabetes Complications. 2014 Mar-Apr;28(2):243-51 [PMID: 24332469]
  15. Am J Public Health. 2015 Nov;105(11):2245-51 [PMID: 26378824]
  16. J Infect Public Health. 2016 Nov - Dec;9(6):708-712 [PMID: 27618634]
  17. BMJ Qual Improv Rep. 2015 Sep 09;4(1): [PMID: 26734405]
  18. Am J Health Promot. 2016 Mar;30(4):283-6 [PMID: 27404065]
  19. J Diabetes Sci Technol. 2019 Mar;13(2):198-205 [PMID: 30636445]
  20. JMIR Med Inform. 2016 Nov 24;4(4):e41 [PMID: 27884812]

Grants

  1. HNF1370-17/Helse Nord RHF

MeSH Term

Adult
Diabetes Mellitus
Health Behavior
Health Promotion
Health Surveys
Humans
Information Seeking Behavior
Life Style
Norway
Public Health
Social Media
Social Networking

Word Cloud

Created with Highcharts 10.0.0mediahealthHPIwillsocialusedpromotioninterventionparticipatorypanelonlineSocialdiabetesresearchlifestylesNorwegiandesignexpertsusersfollowingDiabetescontentsquestionnairechannelsFacebookTwitterInstagram3 monthseffectassessedcomparingbehaviourssatisfactionprofessionalstimemakecareprovideHealthBACKGROUND:ParticipatoryapproachesincreasinglydrawingattentionamongscientificcommunityprogrammesmainaimprojectbestusepromotehealthywithinpopulationMETHODS:involvehealthcareAssociationagreeDelphimethodparticipatedefinitionexpressingopinionsadhocagreedpartiespostedthreealong24 monthsstartingcontroldataformatsfrequencyreactionspublishedmessageswellpotentialchangesfivesupport-intendedcommunicationexpressedvariationssentimentanalysisvsHPI'susers'health-relatedevery6 monthsquestionnairesseparateassessexperts'perceptionsbenefitsoneDISCUSSION:constraintstoday'smedicalpracticecombinedpilingdemandchronicconditionsadditionalrequestextrachallengeefficientubiquitoususer-friendlyplatformscanencourageparticipationengagementactionnecessaryreceiveinterventionssuccessfuldiabetes:studyprotocolpublicCommunity-basededucation

Similar Articles

Cited By