ArticleJMIR mental health2022
A New Digital Assessment of Mental Health and Well-being in the Workplace: Development and Validation of the Unmind Index.
Article in JMIR mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Trial
- Toward Digital Self-Monitoring of Mental Health in the General Population: Scoping Review of Existing Approaches to Self-Report Measurement.JMIR mental health · 2025Article
- Revolutionizing Medicine: Chatbots as Catalysts for Improved Diagnosis, Treatment, and Patient Support.Cureus · 2025Review
- A scoping review of well-being measures: conceptualisation and scales for overall well-being.BMC psychology · 2024Article
- Describing the Framework for AI Tool Assessment in Mental Health and Applying It to a Generative AI Obsessive-Compulsive Disorder Platform: Tutorial.JMIR formative research · 2024Review
- Quantifying the interrelationships between physical, social, and cognitive-emotional components of mental fitness using digital technology.Npj mental health research · 2024Article
- Promoting mental health in the workplace: web software development and validation.Revista latino-americana de enfermagem · 2024Article
- The effectiveness of an intervention using LAWE (loveliness and well-being of employees) app to improve the employee's mental well-being.Health promotion perspectives · 2024Article
- Recommendations for guidelines for promoting mental health in the workplace: an umbrella review.Revista brasileira de enfermagem · 2024Review
- Feasibility and Preliminary Efficacy of Digital Interventions for Depressive Symptoms in Working Adults: Multiarm Randomized Controlled Trial.JMIR formative research · 2023Article
- A Systematic Analysis of Biological, Sociodemographic, Psychosocial, and Lifestyle Factors Contributing to Work Ability Across the Working Life Span: Cross-sectional Study.JMIR formative research · 2023Article
- Validating the Unmind Index as a measure of mental health and wellbeing among adults in USA, Australia, and New Zealand.PloS one · 2023Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundUnmind is a workplace, digital, mental health platform with tools to help users track, maintain, and improve their mental health and well-being (MHWB). Psychological measurement plays a key role on this platform, providing users with insights on their current MHWB, the ability to track it over time, and personalized recommendations, while providing employers with aggregate information about the MHWB of their workforce.
objectiveDue to the limitations of existing measures for this purpose, we aimed to develop and validate a novel well-being index for digital use, to capture symptoms of common mental health problems and key aspects of positive well-being.
methodsIn Study 1A, questionnaire items were generated by clinicians and screened for face validity. In Study 1B, these items were presented to a large sample (n=1104) of UK adults, and exploratory factor analysis was used to reduce the item pool and identify coherent subscales. In Study 2, the final measure was presented to a new nationally representative UK sample (n=976), along with a battery of existing measures, with 238 participants retaking the Umind Index after 1 week. The factor structure and measurement invariance of the Unmind Index was evaluated using confirmatory factor analysis, convergent and discriminant validity by estimating correlations with existing measures, and reliability by examining internal consistency and test-retest intraclass correlations.
resultsStudies 1A and 1B yielded a 26-item measure with 7 subscales: Calmness, Connection, Coping, Happiness, Health, Fulfilment, and Sleep. Study 2 showed that the Unmind Index is fitted well by a second-order factor structure, where the 7 subscales all load onto an overall MHWB factor, and established measurement invariance by age and gender. Subscale and total scores correlate well with existing mental health measures and generally diverge from personality measures. Reliability was good or excellent across all subscales.
conclusionsThe Unmind Index is a robust measure of MHWB that can help to identify target areas for intervention in nonclinical users of a mental health app. We argue that there is value in measuring mental ill health and mental well-being together, rather than treating them as separate constructs.
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