Evidence map›Paper›PMID 38998832›Full record

ArticleHealthcare (Basel, Switzerland)2024

What Chinese Women Seek in Mental Health Apps: Insights from Analyzing

Zhenzhen Qin, Sandy Ng, Wenqing Wu, Suxin Zhang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Zhenzhen QinSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0000-0002-5266-5691
Sandy NgSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China.
Wenqing WuSchool of Journalism and Communication, Anhui Normal University, Wuhu 241000, China.
Suxin ZhangSchool of Civil Engineering and Architecture, Hainan University, Haikou 570228, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gender disparity poses a prominent obstacle to achieving effective mental health outcomes in digital healthcare. Despite women being more inclined to use mental health apps and seeking designs tailored to their specific needs, there is limited research on the factors influencing female users' engagement with these apps. The COVID-19 pandemic has further exacerbated its disproportionate impact on women's mental health. This study investigates female users' posts (n = 5538) about mental health apps during the pandemic, using data collected via a Python web crawler from Xiaohongshu, a popular female-centric social media platform in China. A mixed-methods approach used qualitative thematic analysis and quantitative descriptive statistics. Among these posts, therapeutic functionality emerged as the highest priority, followed by credibility and user experience, with specific design elements highlighted as particularly significant. These findings provide valuable insights for mental health researchers and developers, including you, aiming to create gender-tailored mobile solutions to address the mental health challenges faced by women, especially during future pandemics.

Indexed as

COVID-19 pandemicfemale healthcarefemale user experiencetherapeutic functionalityXiaohongshu

Identifiers

PMID38998832
PMCPMC11241336

What OpenQuestion holds

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LicenceCC BY
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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.