Evidence map›Paper›PMID 32924960›Full record

ArticleJMIR research protocols2020

Peer-to-Peer Health Communication in Older Adults' Online Communities: Protocol for a Qualitative Netnographic Study and Co-Design Approach.

Michael Thomas Lawless, Mandy Archibald, Maria Alejandra Pinero de Plaza, Phoebe Drioli-Phillips, Alison Kitson

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. A Mapping Review of Netnography in Nursing.Qualitative health research · 2023
    Review
  4. COVID-19 Era Social Isolation among Older Adults.Geriatrics (Basel, Switzerland) · 2021
    Review
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

5 authors at 2 institutions in 2 countries.

Michael Thomas LawlessCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia.ORCID https://orcid.org/0000-0002-2536-6442
Mandy ArchibaldCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia.ORCID https://orcid.org/0000-0003-4767-1031
Maria Alejandra Pinero de PlazaCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia.ORCID https://orcid.org/0000-0001-5421-9604
Phoebe Drioli-PhillipsSchool of Psychology, University of Adelaide, Adelaide, Australia.ORCID https://orcid.org/0000-0001-9074-7391
Alison KitsonCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia.ORCID https://orcid.org/0000-0003-3053-8381
Flinders University · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline communities provide an environment in which people with similar health concerns can interact and access content that can support the self-management of long-term conditions (LTCs). Recently, the importance of online social networks as sources of health information and social support has been brought into focus with the emergence and widespread societal impacts of COVID-19. Although online communities exist for older adults, little is known about the specific health and self-care topics that older people discuss in such environments and how these relate to users' support needs and outcomes. A better understanding of users' needs and peer-to-peer communication in these communities is necessary to inform the design of information and communication technology (ICT) interventions that are relevant to older people and their peer supporters.

objectiveThis study aims to use a two-phase, web-based ethnographic (netnography) and co-design approach to explore specific health care and self-care topics that older adults discuss in a UK-based online community and how peer supporters respond to these queries with informational and/or social support and engage with stakeholders to define the needs and requirements for new ICT-based interventions capable of reducing social isolation and facilitating LTC self-management support.

methodsThe first phase of the research will involve a qualitative netnographic analysis of posts in discussion forums in a publicly accessible online community. The second phase will involve co-design workshops with health care consumers (ie, older adults and carers) and service providers to determine the needs and requirements for new ICT-based interventions and digital innovations. Constructivist grounded theory will be used in the first phase; in the second phase, the co-design workshops will be audiorecorded and analyzed thematically.

resultsThis research project is in progress. Permission was obtained from the website administrator to use materials from the social media forum; data collection for the first phase began in April 2020. The second phase of the study is expected to begin in late 2020. This study is due to be completed by the end of 2021.

conclusionsThis study is the first, to the best of our knowledge, to combine qualitative netnography with an iterative co-design framework to specify the needs and requirements for new ICT-based interventions. The findings from this study will inform the next phase of the multiphase knowledge translation project and will provide insights into the potential of online peer health communities to reduce social isolation and facilitate chronic illness self-management support and self-care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/19834.

Indexed as

agedchronic illness and diseaseco-designCOVID-19long-term conditionsnetnographyonline communitypeer supportself-managementsocial media

Identifiers

PMID32924960
PMCPMC7522734
OpenAlexW3045551060

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.