Evidence map›Paper›PMID 38963699›Full record

ArticleJMIR diabetes2024

Development and Validation of a Measure for Seeking Health Information in the Diabetes Online Community: Mixed Methods Study.

Allyson S Hughes, Sarah Beach, Spruhaa Vasistha, Nazanin Heydarian, Osvaldo Morera

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Article in JMIR diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Allyson S Hughes *Department of Primary Care, Ohio University Heritage College of Osteopathic Institution, Athens, OH, United States.ORCID https://orcid.org/0000-0003-1054-7096
Sarah BeachDepartment of Primary Care, Ohio University Heritage College of Osteopathic Institution, Athens, OH, United States.ORCID https://orcid.org/0000-0002-9032-2833
Spruhaa VasisthaDenison University, Granville, OH, United States.ORCID https://orcid.org/0009-0002-1351-3246
Nazanin HeydarianSchool of Social Work, University of Texas at Rio Grande Valley, Edinburg, TX, United States.ORCID https://orcid.org/0000-0002-9100-4378
Osvaldo MoreraDepartment of Psychology, University of Texas at El Paso, El Paso, TX, United States.ORCID https://orcid.org/0000-0002-9660-177X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with chronic diseases often search for health information online. The Diabetes Online Community (DOC) is an active community with members who exchange health information; however, few studies have examined health information brokering in the DOC.

objectiveThe aim of this study was to develop and validate the Attitudes Toward Seeking Health Information Online (ATSHIO) scale in a sample of adults with type 1 diabetes (T1D).

methodsPeople with T1D were recruited through the DOC, specifically Facebook and Twitter. They were provided with a Qualtrics link to complete the survey. This was a mixed methods study that used thematic analysis along with existing theory and formative research to design the quantitative ATSHIO scale.

resultsA total of 166 people with T1D participated in this study. Confirmatory factor analyses determined a 2-factor scale (Trusting and Evaluating Online Health Information in the DOC and Engaging With Online Health Information in the DOC) with good convergent validity and discriminant validity. Correlations were found between social support, online health information-seeking, diabetes distress, and disease management.

conclusionsThe ATSHIO scale can be used to investigate how people with diabetes are using the internet for obtaining health information, which is especially relevant in the age of telehealth and Health 2.0.

Indexed as

chronic diseasediabetesdiabetes distressdigital healthdigital interventiondigital technologyhealth information seekingonline health informationscale developmentsocial mediasocial supporttelehealthtype 1 diabetestype 2 diabetes

Identifiers

PMID38963699
PMCPMC11258518

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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.