Christopher D Buckingham1, Ann Adams2, Laura Vail3, Ashish Kumar4, Abu Ahmed5, Annie Whelan6, Eleni Karasouli7. 1. Computer Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK. Electronic address: c.d.buckingham@aston.ac.uk. 2. Division of Mental Health and Wellbeing, University of Warwick, Coventry, UK. Electronic address: a.e.adams@warwick.ac.uk. 3. Division of Mental Health and Wellbeing, University of Warwick, Coventry, UK. Electronic address: laura.vail@warwick.ac.uk. 4. Computer Science, Aston University, Birmingham, UK. Electronic address: kumara4@aston.ac.uk. 5. Computer Science, Aston University, Birmingham, UK. Electronic address: ahmeda10@aston.ac.uk. 6. Mental Health Providers' Forum, London, UK. Electronic address: anniewhelan@aol.com. 7. Institute of Digital Healthcare, University of Warwick, Coventry, UK. Electronic address: e.karasouli@warwick.ac.uk.
Abstract
OBJECTIVES: To develop a decision support system (DSS), myGRaCE, that integrates service user (SU) and practitioner expertise about mental health and associated risks of suicide, self-harm, harm to others, self-neglect, and vulnerability. The intention is to help SUs assess and manage their own mental health collaboratively with practitioners. METHODS: An iterative process involving interviews, focus groups, and agile software development with 115 SUs, to elicit and implement myGRaCE requirements. RESULTS: Findings highlight shared understanding of mental health risk between SUs and practitioners that can be integrated within a single model. However, important differences were revealed in SUs' preferred process of assessing risks and safety, which are reflected in the distinctive interface, navigation, tool functionality and language developed for myGRaCE. A challenge was how to provide flexible access without overwhelming and confusing users. CONCLUSION: The methods show that practitioner expertise can be reformulated in a format that simultaneously captures SU expertise, to provide a tool highly valued by SUs. A stepped process adds necessary structure to the assessment, each step with its own feedback and guidance. PRACTICE IMPLICATIONS: The GRiST web-based DSS (www.egrist.org) links and integrates myGRaCE self-assessments with GRiST practitioner assessments for supporting collaborative and self-managed healthcare.
OBJECTIVES: To develop a decision support system (DSS), myGRaCE, that integrates service user (SU) and practitioner expertise about mental health and associated risks of suicide, self-harm, harm to others, self-neglect, and vulnerability. The intention is to help SUs assess and manage their own mental health collaboratively with practitioners. METHODS: An iterative process involving interviews, focus groups, and agile software development with 115 SUs, to elicit and implement myGRaCE requirements. RESULTS: Findings highlight shared understanding of mental health risk between SUs and practitioners that can be integrated within a single model. However, important differences were revealed in SUs' preferred process of assessing risks and safety, which are reflected in the distinctive interface, navigation, tool functionality and language developed for myGRaCE. A challenge was how to provide flexible access without overwhelming and confusing users. CONCLUSION: The methods show that practitioner expertise can be reformulated in a format that simultaneously captures SU expertise, to provide a tool highly valued by SUs. A stepped process adds necessary structure to the assessment, each step with its own feedback and guidance. PRACTICE IMPLICATIONS: The GRiST web-based DSS (www.egrist.org) links and integrates myGRaCE self-assessments with GRiST practitioner assessments for supporting collaborative and self-managed healthcare.
Authors: Roman Koposov; Sturla Fossum; Thomas Frodl; Øystein Nytrø; Bennett Leventhal; Andre Sourander; Silvana Quaglini; Massimo Molteni; María de la Iglesia Vayá; Hans-Ulrich Prokosch; Nicola Barbarini; Michael Peter Milham; Francisco Xavier Castellanos; Norbert Skokauskas Journal: Eur Child Adolesc Psychiatry Date: 2017-04-28 Impact factor: 4.785