| 1. What is health care workers’ engagement with RMHive, including use patterns, perceptions of content, and overall level of engagement? |
Change log from beta testing to the minimally viable product User demographics and mental health baseline measures (PHQ4a, PHQ2b, GAD2c, K10d self-monitoring and general health self-tracking questionnaires) App analytics data (bounce rates and patterns of use, including total time using and content use) Qualitative think aloud semistructured interview text and video data from the beta test and implementation phase
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Descriptive overview of beta test engagement and content changes Descriptive statistics on user demographics (age, gender, profession), mental health baseline scores and averages, K10 first completion averages Number of app downloads, use patterns, content accessed; patterns of content engaged with, number of videos watched, time spent on content (where possible) Thematic analysis of think aloud interview text content examining user perceptions of the app and content and video analysis for app usability and feature engagement (attention to facial gestures, body language, and user workflow); these data will be considered against the touchpoints identified in the photo interviews and deliberative workshops to evaluate the question of whether the app meets the needs of health care workers
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| 2. What contextual, sociotechnical, organizational, and individual features support or hinder implementation of the RMHive app? |
Qualitative governance interview data with leaders in the hospital setting Touchpoints that emerged from the photo interviews and deliberative workshops during design and development that were related to contextual, sociotechnical, organizational, and individual barriers and facilitators for implementation; review of available mental health and well-being programs at the hospital Qualitative think aloud semistructured interview text and video analysis Web-based implementation survey of team leaders, managers, and other appropriate staff distributed via hospital contacts
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NPTe using the four NPT constructs to code interview, mapping, and brief survey data according to coherence (understanding of the problem—how people make sense of the mental health needs and well-being of health care workers, and the role of a mobile app in providing support), cognitive participation (engagement—how is the new technology driven forward, who buys in to it, and how is practice sustained), collective action (integration of new technology, skill set fit, integration of new technology, work done to operationalize and contextually execute new technology), and reflexive monitoring (how do groups and individuals start to assess whether a new approach or practice is working and what reconfigurations are undertaken by them to embed change) Identification of themes at the different levels in the qualitative interview data and deliberative workshop related to what supports or hinders app implementation and integration; these will also be mapped to NPT where appropriate Summary findings from a brief survey of managers and team leaders regarding the implementation of the mobile app
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| 3. What are the identifiable impacts on the mental health of individual health care workers through adoption, implementation, and use of the RMHive app? |
User demographics and mental health post–app use measures of depression, anxiety, and overall PHQ4 mental health score Self-monitoring data using K10 for psychological distress General health self-tracking questions: physical activity, relationships, productivity, and well-being
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Age, gender, and professional role where available; pre-PHQ2, GAD2, and overall PHQ4 scores compared with post–app use scores (defined as 30 days or last mental health entry on screening questionnaires) K10 self-monitoring scores at the first time of app use and last user completion First and last entries of self-tracking general health questions Case studies of patterns for K10 and the four general questions for further exploration of user mental health patterns over time if relevant
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