BACKGROUND As mental illness continues to affect one in five individuals, and the need for support has increased during the COVID-19 pandemic, the promise of digital mental health tools remains largely unrealized due to lack of uptake by patients and providers. OBJECTIVE The specific objective of this project is to develop a web-based resource to support the engagement of mental health providers and patients in the use of digital mental health tools. METHODS The web-based resource was developed using a multi-method approach. We conducted: 1) an environmental scan and engagement of experts in the field; 2) an academic literature review; 3) a grey literature review; and 4) a stakeholder engagement workshop. RESULTS We developed a resource, which is now available publicly online, to support patients' and providers' engagement in the usage of digital mental health tools. Based on a literature review, environmental scan with 27 experts and an engagement workshop with 15 stakeholders, 25 resources were identified and included in the resource guide. The contents of the resource guide are directed at mental health care providers, administrators and patients/clients (inclusive of families/caregivers). CONCLUSIONS The resource guide is now publicly available online for free. Future work should explore how this document can be integrated into clinical care delivery and pathways.
Background As mental illness continues to affect 1 in 5 individuals, and the need for support has increased during the COVID-19 pandemic, the promise of digital mental health tools remains largely unrealized due to a lack of uptake by patients and providers. Currently, most efforts on supporting the uptake of digital mental health tools remain fragmented across organizations and geography. There is a critical need to synthesize these efforts in order to provide a coordinated strategy of supporting the adoption of digital mental health tools. Objective The specific aim of this project is to develop a web-based resource document to support the engagement of mental health providers and patients in the use of digital mental health tools. Methods The web-based resource was developed using a multimethod approach. A grey literature review was conducted in 2019 to identify relevant toolkits that are available in the public domain. This was supplemented with an environmental scan where individuals with expertise in the development, acquisition, implementation, and evaluation of digital mental health tools were invited to contribute additional tools or documents not identified in the grey literature search. An engagement workshop was held with stakeholders to explore how the resource document should be developed and delivered. These findings were collectively used to develop the final iteration of the resource document. Results Based on a gray literature review and environmental scan with 27 experts, 25 resources were identified and included in the resource guide. These resources were developed for patients and providers by organizations from 5 countries. An engagement workshop was held with 14 stakeholders, and barriers related to cultural sensitivity, sustainability, and accessibility of the toolkit were identified. The final iteration of the resource document was developed by the research team using findings from the gray literature review, environmental scan, and engagement workshop. The contents of the 45-page resource guide are directed at mental health care providers, administrators, and patients (inclusive of families and caregivers). Conclusions The use of a multimethod approach led to the development of a resource guide that builds on existing evidence on digital mental health tools and was co-designed with stakeholders and end-users. The resource guide is now publicly available online for free and is being promoted through digital health and mental health websites. Future work should explore how this document can be integrated into clinical care delivery and pathways.
Nurses use theory to sharpen their observations and to facilitate their understanding of the human responses to which they direct their interventions. An assessment tool, derived from the nursing theory 'modelling and role-modelling', was developed by nurses at the University of Michigan Hospitals. This tool appears to elicit the data necessary to assess and diagnose the health status of clients. This article describes the assessment tool, why it was developed, the objectives in utilization of the tool and suggestions for implementation.
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