Evidence map›Paper›PMID 39351314›Full record

ArticleDigital health

Analysis on childhood fever health information seeking behaviors in online health community using a mixed-methods approach.

Xuan Pan, Zhuoyuan Tang, Ying Liu, Jingjing Ren

Abstract read
In one paragraph

Article in Digital health. 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

4 authors.

Xuan PanThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-1306-5706
Zhuoyuan TangSchool of Information Technology, Zhejiang Financial College, Hangzhou, China.
Ying LiuThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jingjing RenThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The primary aim of this study is to analyze health information seeking behaviors of users related to child fever within online health communities. The findings will serve as a foundation for the development of targeted interventions and resources for addressing the specific information needs related to child fever. Ultimately, this will enhance parental capabilities in managing fever in children and for improving the quality of communication between healthcare professionals and parents dealing with feverish children. Methods: This study employed data crawling to gather Q&A data on childhood fever from online health communities, specifically "haodf.com" between March 15, 2022, and March 15, 2023. A total of 47,781 texts were analyzed using a mixed research approach that combines qualitative text topic analysis with BERTopic algorithm. Results: The health information needs regarding children's fever can be categorized into 6 primary topics and 17 secondary topics. Among them, parents' demand for medication consultation and medical guidance (Topic A) was the highest at 45.40%, followed by information concerning the management of fever symptoms and body temperature in children (Topic B) at 30.35%. 13.24% of the data focused on examination recommendations and interpretation of results (Topic C). Conclusions: This study proposes a mixed thematic analysis method combining qualitative text thematic analysis and the BERTopic topic model, which reveals parents' information-seeking behaviors about children with fever. It emphasizes the challenges faced by parents in assessing their children's condition and highlights the necessity of continuous health information support and evidence-based medical knowledge. This can promote the improvement of medical services, optimize doctor-patient communication, strengthen patient information support, and optimize the content of online health communities.

Indexed as

BERTopicchildhood feverHealth information seeking behaviorsonline health communitytopic analysis

Identifiers

PMID39351314
PMCPMC11440565

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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.