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.
| Original language | English |
|---|---|
| Article number | 1297 |
| Journal | Healthcare (Switzerland) |
| Volume | 12 |
| Issue number | 13 |
| DOIs | |
| Publication status | Published - Jul 2024 |
Keywords
- COVID-19 pandemic
- female healthcare
- female user experience
- therapeutic functionality
- Xiaohongshu
ASJC Scopus subject areas
- Leadership and Management
- Health Policy
- Health Informatics
- Health Information Management