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Developing Reporting Guidelines for Social Media Research (RESOME) by Using a Modified Delphi Method: Protocol for Guideline Development
Open accessPublished version of a preprint
Abstract
Background: Social media platforms, such as Facebook, Twitter, and Instagram, are being increasingly used to deliver public health interventions. Despite the high level of research interest, there is no consensus or guidance on how to report on social media interventions. Reporting guidelines that incorporate elements from behavior change theories and social media engagement frameworks could foster more robust evaluations that capture outcomes that have an impact on behavior change and engagement. Objective: The aim of this project is to develop, publish, and promote a list of items for our Reporting Guidelines for Social Media Research (RESOME) checklist. Methods: RESOME will be developed by using a modified Delphi approach wherein 2 rounds of questionnaires will be sent to experts and stakeholders. The questionnaires will ask them to rate their agreement with a series of statements until a level of consensus is reached. This will be followed by a web-based consensus meeting to finalize the reporting guidelines. After the consensus meeting, the reporting guidelines will be published in the form of a paper outlining the need for the new guidelines and how the guidelines were developed, along with the finalized checklist for reporting. Prior to publication, the guidelines will be piloted to check for understanding and simplify the language used, if necessary. Results: The first draft of RESOME has been developed. Round 1 of the Delphi survey took place between July and December 2021. Round 2 is due to take place in February 2022, and the web-based consensus meeting will be scheduled for the spring of 2022. Conclusions: Developing RESOME has the potential to contribute to improved reporting, and such guidelines will make it easier to assess the effectiveness of social media interventions. Future work will be needed to evaluate our guidelines’ usefulness and practicality. International Registered Report Identifier (IRRID): PRR1-10.2196/31739
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Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., Johnston, M., et al. (2014) · BMJ · doi:10.1136/bmj.g1687 · Cited by 10,548
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
the CONSORT Group, Schulz, K. F., Altman, D. G., & Moher, D. (2010) · Trials · doi:10.1186/1745-6215-11-32 · Cited by 1,871
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Metadata
- Authors
- Kaushal, A., Bravo, C., Duffy, S., Lewins, D., Möhler, R., Raine, R., Vlaev, I., Waller, J., & von Wagner, C.
- Affiliations
- University College London (GB)
- Cancer Care Ontario (CA)
- Queen Mary University of London (GB)
- University of Warwick (GB)
- King's College London (GB)
- Corresponding author
- Kaushal, Aradhna
- ORCID
- Venue
- JMIR Research Protocols
- Publisher
- JMIR Publications Inc.
- Published
- 2022-05-09
- Volume
- 11
- Issue
- 5
- Pages
- e31739
- ISSN
- 1929-0748 (ISSN-L)
- PMC
- PMC9127642
- OpenAlex
- W4211188253
- Cited by
- 4
- References
- 2
- Citations by year
- 2026: 1 · 2024: 2 · 2022: 1
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Research Protocols (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
- Funders
- National Institute for Health and Care Research (PRU-1217-21601, PR‐PRU‐1217‐21601)
- Department of Health and Social Care
- Topics
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Social Sciences › Health › Social Media in Health Education
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- social media interventions, reporting guidelines, guideline development, behaviour change theory, social media engagement, public health interventions, expert consensus, reporting quality
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