Affiliation:
1. University of Cambridge
Abstract
Abstract
Background
The menopause presents a period of heightened vulnerability for mental health concerns. Web and smartphone apps may facilitate and improve mental healthcare provision. However, little is known about users’ intention to use such technologies.
Objective
To examine users’ experiences with and intention to use a mental health app during the menopause using the Health Belief Model (HBM).
Methods
Participants completed an online survey. Structural equation modelling was conducted to explore whether the HBM is a good fit for predicting intention to use a mental health app for the menopause.
Results
We found a good model fit (χ2(278) = 790.44, p < 0.001; CFI = 0.933, RMSEA = 0.047, SRMR = 0.056). Cues to action was the most significant predictor of intention (β = 0.48, p < 0.001), followed by perceived barriers (β=-0.25, p < 0.001), perceived susceptibility (β = .15, p < 0.001), and perceived benefits (β = 0.13, p < 0.001).
Conclusions
This study emphasises the need to address barriers to app usage, while highlighting the impact of credible endorsements and psychoeducation.
Publisher
Research Square Platform LLC
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