User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform ‘mindline at work

Author:

Yoon Sungwon,Goh HendraORCID,Low Xinyi Casuarine,Weng Janice Huiqin,Heaukulani Creighton

Abstract

BackgroundThe working population encounters unique work-related stressors. Despite these challenges, accessibility to mental healthcare remains limited. Digital technology-enabled mental wellness tools can offer much-needed access to mental healthcare. However, existing literature has given limited attention to their relevance and user engagement, particularly for the working population.AimThis study aims to assess user perceptions and feature utilisation ofmindline at work, a nationally developed AI-enabled digital platform designed to improve mental wellness in the working population.MethodsThis study adopted a mixed-methods design comprising a survey (n=399) and semistructured interviews (n=40) with office-based working adults. Participants were asked to usemindline at workfor 4 weeks. We collected data about utilisation of the platform features, intention for sustained use and perceptions of specific features.ResultsParticipants under 5 years of work experience reported lower utilisation of multimedia resources but higher utilisation of emotion self-assessment tools and the AI chatbot compared with their counterparts (p<0.001). The platform received a moderate level of satisfaction (57%) and positive intention for sustained use (58%). Participants regardedmindline at workas an ‘essential’ safeguard against workplace stress, valuing its secure and non-judgmental space and user anonymity. However, they wanted greater institutional support for office workers’ mental wellness to enhance the uptake. The AI chatbot was perceived as useful for self-reflection and problem-solving, despite limited maturity.ConclusionIdentifying the unique benefits of specific features for different segments of working adults can foster a personalised user experience and promote mental well-being. Increasing workplace awareness is essential for platform adoption.

Funder

Ministry of Health Office for Healthcare Transformation

Publisher

BMJ

Reference54 articles.

1. WHO . Depression and other common mental disorders: global health estimates. Geneva World Health Organization; 2017.

2. Work and common psychiatric disorders

3. Bond G , Lerner D , Drake R , et al . Work-focused interventions for depression: final report. Washington, DC US Department of Health and Human Services; 2019.

4. The Lancet Global Health . Mental health matters. Lancet Glob Health 2020;8. doi:10.1016/S2214-109X(20)30432-0

5. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic;Santomauro;The Lancet,2021

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