Evidence map›Paper›PMID 39652845›Full record

ArticleJournal of medical Internet research2024

Unveiling Usage Patterns and Explaining Usage of Symptom Checker Apps: Explorative Longitudinal Mixed Methods Study.

Anna-Jasmin Wetzel, Christine Preiser, Regina Müller, Stefanie Joos, Roland Koch, Tanja Henking, Hannah Haumann

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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.

Anna-Jasmin WetzelInstitute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0002-7127-5867
Christine PreiserInstitute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0002-5549-6336
Regina MüllerInstitute for Philosophy, University of Bremen, Bremen, Germany.ORCID 0000-0001-6821-6770
Stefanie JoosInstitute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0002-5810-529X
Roland KochInstitute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0002-6500-928X
Tanja HenkingInstitute for Applied Social Sciences, Technical University of Würzburg-Schweinfurt, Würzburg, Germany.ORCID 0000-0003-0595-1940
Hannah HaumannInstitute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany.ORCID 0009-0006-5876-2878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSymptom checker apps (SCA) aim to enable individuals without medical training to classify perceived symptoms and receive guidance on appropriate actions, such as self-care or seeking professional medical attention. However, there is a lack of detailed understanding regarding the contexts in which individuals use SCA and their opinions on these tools.

objectiveThis mixed methods study aims to explore the circumstances under which medical laypeople use SCA and to identify which aspects users find noteworthy after using SCA.

methodsA total of 48 SCA users documented their medical symptoms, provided open-ended responses, and recorded their SCA use along with other variables over 6 weeks in a longitudinal study. Generalized linear mixed models with and those without regularization were applied to consider the hierarchical structure of the data, and the models' outcomes were evaluated for comparison. Qualitative data were analyzed through Kuckartz qualitative content analysis.

resultsSignificant predictors of SCA use included the initial occurrence of symptoms, day of measurement (odds ratio [OR] 0.97), self-rated health (OR 0.80, P<.001), and the following International Classification in Primary Care-2-classified symptoms, that are general and unspecified (OR 3.33, P<.001), eye (OR 5.56, P=.001), cardiovascular (OR 8.33, P<.001), musculoskeletal (OR 5.26, P<.001), and skin (OR 4.76, P<.001). The day of measurement and self-rated health showed minor importance due to their small effect sizes. Qualitative analysis highlighted four main themes: (1) reasons for using SCA, (2) diverse affective responses, (3) a broad spectrum of behavioral reactions, and (4) unmet needs including a lack of personalization.

conclusionsThe emergence of new and unfamiliar symptoms was a strong determinant for SCA use. Specific International Classification in Primary Care-rated symptom clusters, particularly those related to cardiovascular, eye, skin, general, and unspecified symptoms, were also highly predictive of SCA use. The varied applications of SCA fit into the concept of health literacy as bricolage, where SCA is leveraged as flexible tools by patients based on individual and situational requirements, functioning alongside other health care resources.

Indexed as

Mobile ApplicationsAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedSelf Careapplicationsappscircumstancescontent analysiseHealthexplorative longitudinal studyGeneral Linear Mixed ModelsGLMMKuckartzmHealthmixed methodmobile healthparticipantspatternspredictionpredictsqualitative dataself careself-diagnosisself managementself-ratedself-triagesurveysymptoms checkerusageusers

Identifiers

PMID39652845
PMCPMC11667141

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.