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Background The World Economic Forum has recently highlighted substantial problems in mental health service provision and called for the rapid deployment of smarter, digitally-enhanced health services as a means to facilitate effective care coordination and address issues of demand. In mental health, the biggest enabler of digital solutions is the implementation of an effective model of care that is facilitated by integrated health information technologies (HITs); the latter ensuring the solution is easily accessible, scalable and sustainable. The University of Sydney’s Brain and Mind Centre (BMC) has developed an innovative digital health solution – delivered through the Youth Mental Health and Technology Program – which incorporates two components: 1) a highly personalised and measurement-based (data-driven) model of youth mental health care; and 2) an industrial grade HIT registered on the Australian Register of Therapeutic Goods. This paper describes a research protocol to evaluate the impact of implementing the BMC’s digital health solution into youth mental health services (i.e. headspace - a highly accessible, youth-friendly integrated service that responds to the mental health, physical health, alcohol or other substance use, and vocational concerns of young people aged 12 to 25 years) within urban and regional areas of Australia. Methods The digital health solution will be implemented into participating headspace centres using a naturalistic research design. Quantitative and qualitative data will be collected from headspace health professionals, service managers and administrators, as well as from lead agency and local Primary Health Network (PHN) staff, via service audits, Implementation Officer logs, online surveys, and semi-structured interviews, at baseline and then three-monthly intervals over the course of 12 months. Discussion At the time of publication, six headspace centres had been recruited to this study and had commenced implementation and impact evaluation. The first results are expected to be submitted for publication in 2021. This study will focus on the impact of implementing a digital health solution at both a service and staff level, and will evaluate digital readiness of service and staff adoption; quality, usability and acceptability of the solution by staff; staff self-reported clinical competency; overall impact on headspace centres as well as their lead agencies and local PHNs; and social return on investment.

BACKGROUND Globally, there are fundamental shortcomings in mental health care systems, including restricted access, siloed services, interventions that are poorly matched to service users’ needs, underuse of personal outcome monitoring to track progress, exclusion of family and carers, and suboptimal experiences of care. Health information technologies (HITs) hold great potential to improve these aspects that underpin the enhanced quality of mental health care. OBJECTIVE Project Synergy aimed to co-design, implement, and evaluate novel HITs, as exemplified by the InnoWell Platform, to work with standard health care organizations. The goals were to deliver improved outcomes for specific populations under focus and support organizations to enact significant system-level reforms. METHODS Participating health care organizations included the following: Open Arms–Veterans & Families Counselling (in Sydney and Lismore, New South Wales [NSW]); NSW North Coast headspace centers for youth (Port Macquarie, Coffs Harbour, Grafton, Lismore, and Tweed Heads); the Butterfly Foundation’s National Helpline for eating disorders; Kildare Road Medical Centre for enhanced primary care; and Connect to Wellbeing North Coast NSW (administered by Neami National), for population-based intake and assessment. Service users, families and carers, health professionals, and administrators of services across Australia were actively engaged in the configuration of the InnoWell Platform to meet service needs, identify barriers to and facilitators of quality mental health care, and highlight potentially the best points in the service pathway to integrate the InnoWell Platform. The locally configured InnoWell Platform was then implemented within the respective services. A mixed methods approach, including surveys, semistructured interviews, and workshops, was used to evaluate the impact of the InnoWell Platform. A participatory systems modeling approach involving co-design with local stakeholders was also undertaken to simulate the likely impact of the platform in combination with other services being considered for implementation within the North Coast Primary Health Network to explore resulting impacts on mental health outcomes, including suicide prevention. RESULTS Despite overwhelming support for integrating digital health solutions into mental health service settings and promising impacts of the platform simulated under idealized implementation conditions, our results emphasized that successful implementation is dependent on health professional and service readiness for change, leadership at the local service level, the appropriateness and responsiveness of the technology for the target end users, and, critically, funding models being available to support implementation. The key places of interoperability of digital solutions and a willingness to use technology to coordinate health care system use were also highlighted. CONCLUSIONS Although the COVID-19 pandemic has resulted in the widespread acceptance of very basic digital health solutions, Project Synergy highlights the critical need to support equity of access to HITs, provide funding for digital infrastructure and digital mental health care, and actively promote the use of technology-enabled, coordinated systems of care.

Background Globally, there are fundamental shortcomings in mental health care systems, including restricted access, siloed services, interventions that are poorly matched to service users’ needs, underuse of personal outcome monitoring to track progress, exclusion of family and carers, and suboptimal experiences of care. Health information technologies (HITs) hold great potential to improve these aspects that underpin the enhanced quality of mental health care. Objective Project Synergy aimed to co-design, implement, and evaluate novel HITs, as exemplified by the InnoWell Platform, to work with standard health care organizations. The goals were to deliver improved outcomes for specific populations under focus and support organizations to enact significant system-level reforms. Methods Participating health care organizations included the following: Open Arms–Veterans & Families Counselling (in Sydney and Lismore, New South Wales [NSW]); NSW North Coast headspace centers for youth (Port Macquarie, Coffs Harbour, Grafton, Lismore, and Tweed Heads); the Butterfly Foundation’s National Helpline for eating disorders; Kildare Road Medical Centre for enhanced primary care; and Connect to Wellbeing North Coast NSW (administered by Neami National), for population-based intake and assessment. Service users, families and carers, health professionals, and administrators of services across Australia were actively engaged in the configuration of the InnoWell Platform to meet service needs, identify barriers to and facilitators of quality mental health care, and highlight potentially the best points in the service pathway to integrate the InnoWell Platform. The locally configured InnoWell Platform was then implemented within the respective services. A mixed methods approach, including surveys, semistructured interviews, and workshops, was used to evaluate the impact of the InnoWell Platform. A participatory systems modeling approach involving co-design with local stakeholders was also undertaken to simulate the likely impact of the platform in combination with other services being considered for implementation within the North Coast Primary Health Network to explore resulting impacts on mental health outcomes, including suicide prevention. Results Despite overwhelming support for integrating digital health solutions into mental health service settings and promising impacts of the platform simulated under idealized implementation conditions, our results emphasized that successful implementation is dependent on health professional and service readiness for change, leadership at the local service level, the appropriateness and responsiveness of the technology for the target end users, and, critically, funding models being available to support implementation. The key places of interoperability of digital solutions and a willingness to use technology to coordinate health care system use were also highlighted. Conclusions Although the COVID-19 pandemic has resulted in the widespread acceptance of very basic digital health solutions, Project Synergy highlights the critical need to support equity of access to HITs, provide funding for digital infrastructure and digital mental health care, and actively promote the use of technology-enabled, coordinated systems of care.

An introduction (comprising background and problem statement): New health information technologies (HIT) are being rapidly developed to improve the delivery of mental health care; however, a range of facilitators, barriers and contextual conditions can impact on the adoption and sustainment of these solutions. Our implementation science protocol systematically guides the implementation of HIT-enabled solutions in traditional face-to-face and online mental health services, allowing for revisions over time based on retrospective review and constructive feedback from the services in which the solutions are implemented.Theory/Methods: The protocol is comprised of four phases. The primary objective of the scoping and feasibility phase (Phase 1) is to determine the alignment between the service partner and the quality improvement goals supported by the HIT-enabled solution. Phase 2, the local co-design and pre-implementation phase, aims to utilise co-design methodologies, including service pathway modelling, participatory design and user (acceptance) testing, to determine how the HIT-enabled solutions could be used to enhance the service. During implementation (Phase 3), the accepted HIT-enabled solution is embedded in the mental health service to achieve better outcomes for consumers and their families as well as health professionals and service managers. Using iterative evaluative processes, the solution is continuously developed, redesigned, and refined, adapting to the changing needs of the stakeholders, including consumers with lived experience and their families, and the service. This optimised HIT-enabled solution can then be maintained in a service during the sustainment and scalability phase (Phase 4) for the purposes of mental health services reform.Results: Currently, the implementation science protocol has been initiated in nine primary youth mental health services, a counselling service for veterans and their families, and a helpline for individuals affected by eating disorders and negative body image issues, all of which are operating in Phase 3.Discussions: The international goal of substantially improving the quality of mental health services is central to many technology-based innovation implementation efforts in mental health service delivery. The greater the gap between the innovation and conventional practice, the greater the implementation challenge. With the aim of avoiding obsolescence of the solutions, our implementation science protocol stresses the parallel and iterative evaluation of the effectiveness of the HIT-enabled solution alongside the success, or lack thereof, of the implementation.Conclusions (comprising key findings): Putting in place a theoretically sound implementation science protocol is essential to facilitate the uptake of novel HIT-enabled solutions and evidenced-based practices into routine clinical practice for the purposes of improved outcomes.Lessons learned: It is imperative to identify factors that predict the likelihood of implementation success as well as the development of strategies to proactively mitigate potential barriers to achieve better implementation outcomes.Limitations: A complete implementation comprised of all four phases has yet to be completed, limiting data-driven refinement of the protocol.Suggestions for future research: It will be important to validate the implementation science protocol in diverse healthcare organisations as a means by which to address key challenges to facilitate HIT-enabled reform.

An introduction (comprising background and problem statement): New health information technologies (HIT) are being rapidly developed to support the transformation of mental health services. The InnoWell Platform is a configurable and customisable digital tool that assists in assessment, monitoring and management of mental ill health and maintenance of wellbeing. Importantly, the InnoWell Platform is not just installed into a service, rather implementation is informed by participatory design methodologies, including service modelling to understand and map clinical pathways (both pre- and post-implementation), relationships to external mental health and social services, and key performance indicators related to safety and service quality.Theory/Methods: The InnoWell Platform is now being offered as part of standard clinical care in face-to-face and online mental health services across population groups, including young children and their families, young people, adults (including the veteran community) and older adults. During pre-implementation, at least two service modelling workshops are conducted to discover, evaluate and prototype clinical pathways (intake, assessment, treatment planning, treatment, progress monitoring, exit) which can be assessed against safety and service quality domains (i.e. accessibility, acceptability, workforce competence, efficiency, effectiveness, appropriateness and care continuity). The co-designed service models are updated quarterly to reflect changes related to implementation and impacts on workflows by role (i.e. health professional, service management or administration).Results: To date, service modelling workshops have been conducted in nine primary youth mental health services, a counselling service for veterans and their families, a helpline for individuals affected by eating disorders and negative body image issues, and a primary health network using ‘staged care’ principles across the lifespan. To ensure a comprehensive understanding of each service’s clinical pathway, participants included those with a lived experience (consumer and/or supportive other), health professionals, service management and administration. Key themes explored included: quality in mental health service provision; current clinical pathway(s) with an emphasis on access and delays in service provision; and, how the InnoWell Platform could enhance care and improve outcome monitoring.Discussion: New HITs, such as the InnoWell Platform, have the potential to realise significant improvements in Australian mental health service quality. Co-designed service models highlight potential points of consumer engagement with the Platform and impacts on service workflows to facilitate successful implementation.Conclusions (comprising key findings): A thorough understanding of a service’s clinical pathway is essential to determine at which point(s) the InnoWell Platform is best placed to drive person-centred, collaborative care; improve the efficiency and enhance the effectiveness of care provision; and monitor safety and service quality.Lessons learned: Iterative review of service models is required to track changes associated with embedding the Platform in the service as well as in response to service-level changes (i.e. revised intake procedures).Limitations: Currently, limited data is available in the Platform to evaluate safety and service quality indicators as they relate to points in the clinical pathways.Suggestions for future research: Monitoring changes in the service model in association with real-time metrics collected by the Platform will inform and guide service quality improvement.

Background Culturally diverse populations (including Aboriginal and Torres Strait Islander people, people of diverse genders and sexualities, and culturally and linguistically diverse people) in nonurban areas face compounded barriers to accessing mental health care. Health information technologies (HITs) show promising potential to overcome these barriers. Objective This study aims to identify how best to improve a mental health and well-being HIT for culturally diverse Australians in nonurban areas. Methods We conducted 10 co-design workshops (N=105 participants) in primary youth mental health services across predominantly nonurban areas of Australia and conducted template analysis on the workshop outputs. Owing to local (including service) demographics, the workshop participants naturalistically reflected culturally diverse groups. Results We identified 4 main themes: control, usability, affirmation, and health service delivery factors. The first 3 themes overlap with the 3 basic needs postulated by self-determination theory (autonomy, competence, and relatedness) and describe participant recommendations on how to design an HIT. The final theme includes barriers to adopting HITs for mental health care and how HITs can be used to support care coordination and delivery. Hence, it describes participant recommendations on how to use an HIT. Conclusions Although culturally diverse groups have specific concerns, their expressed needs fall broadly within the relatively universal design principles identified in this study. The findings of this study provide further support for applying self-determination theory to the design of HITs and reflect the tension in designing technologies for complex problems that overlap multiple medical, regulatory, and social domains, such as mental health care. Finally, we synthesize the identified themes into general recommendations for designing HITs for mental health and provide concrete examples of design features recommended by participants.

Background Despite the widely acknowledged potential for health information technologies to improve the accessibility, quality and clinical safety of mental health care, implementation of such technologies in services is frequently unsuccessful due to varying consumer, health professional, and service-level factors. The objective of this co-design study was to use process mapping (i.e. service mapping) to illustrate the current consumer journey through primary mental health services, identify barriers to and facilitators of quality mental health care, and highlight potential points at which to integrate the technology-enabled solution to optimise the provision of care based on key service performance indicators. Methods Interactive, discussion-based workshops of up to six hours were conducted with representative stakeholders from each participating service, including health professionals, service managers and administrators from Open Arms – Veterans & Families Counselling Service (Sydney), a counselling service for veterans and their families, and five headspace centres in the North Coast Primary Health Network, primary youth mental health services. Service maps were drafted and refined in real time during the workshops. Through both group discussion and the use of post-it notes, participants worked together to evaluate performance indicators (e.g. safety) at each point in the consumer journey (e.g. intake) to indicate points of impact for the technology-enabled solution, reviewing and evaluating differing opinions in order to reach consensus. Results Participants (n=84 across participating services) created service maps illustrating the current consumer journey through the respective services and highlighting barriers to and facilitators of quality mental health care. By consensus, the technology-enabled solution as facilitated by the InnoWell Platform was noted to enable the early identification of risk, reduce or eliminate lengthy intake processes, enable routine outcome monitoring to revise treatment plans in relation to consumer response, and serve as a personal data record for consumers, driving person-centred, coordinated care. Conclusions Service mapping was shown to be an effective methodology to understand the consumer’s journey through a service and served to highlight how the co-designed technology-enabled solution can optimise service pathways to improve the accessibility, quality and clinical safety of care relative to key service performance indicators, facilitating the delivery of the right care.

BACKGROUND Culturally diverse populations (including Aboriginal and Torres Strait Islander people, people of diverse genders and sexualities, and culturally and linguistically diverse people) in nonurban areas face compounded barriers to accessing mental health care. Health information technologies (HITs) show promising potential to overcome these barriers. OBJECTIVE This study aims to identify how best to improve a mental health and well-being HIT for culturally diverse Australians in nonurban areas. METHODS We conducted 10 co-design workshops (N=105 participants) in primary youth mental health services across predominantly nonurban areas of Australia and conducted template analysis on the workshop outputs. Owing to local (including service) demographics, the workshop participants naturalistically reflected culturally diverse groups. RESULTS We identified 4 main themes: control, usability, affirmation, and health service delivery factors. The first 3 themes overlap with the 3 basic needs postulated by self-determination theory (autonomy, competence, and relatedness) and describe participant recommendations on how to design an HIT. The final theme includes barriers to adopting HITs for mental health care and how HITs can be used to support care coordination and delivery. Hence, it describes participant recommendations on how to use an HIT. CONCLUSIONS Although culturally diverse groups have specific concerns, their expressed needs fall broadly within the relatively universal design principles identified in this study. The findings of this study provide further support for applying self-determination theory to the design of HITs and reflect the tension in designing technologies for complex problems that overlap multiple medical, regulatory, and social domains, such as mental health care. Finally, we synthesize the identified themes into general recommendations for designing HITs for mental health and provide concrete examples of design features recommended by participants. CLINICALTRIAL

BACKGROUND Health information technologies (HITs) are becoming increasingly recognized for their potential to provide innovative solutions to improve the delivery of mental health services and drive system reforms for better outcomes. OBJECTIVE This paper describes the baseline results of a study designed to systematically monitor and evaluate the impact of implementing an HIT, namely the InnoWell Platform, into Australian mental health services to facilitate the iterative refinement of the HIT and the service model in which it is embedded to meet the needs of consumers and their supportive others as well as health professionals and service providers. METHODS Data were collected via web-based surveys, semistructured interviews, and a workshop with staff from the mental health services implementing the InnoWell Platform to systematically monitor and evaluate its impact. Descriptive statistics, Fisher exact tests, and a reliability analysis were used to characterize the findings from the web-based surveys, including variability in the results between the services. Semistructured interviews were coded using a thematic analysis, and workshop data were coded using a basic content analysis. RESULTS Baseline data were collected from the staff of 3 primary youth mental health services (n=18), a counseling service for veterans and their families (n=23), and a helpline for consumers affected by eating disorders and negative body image issues (n=6). As reported via web-based surveys, staff members across the services consistently agreed or strongly agreed that there was benefit associated with using technology as part of their work (38/47, 81%) and that the InnoWell Platform had the potential to improve outcomes for consumers (27/45, 60%); however, there was less certainty as to whether their consumers’ capability to use technology aligned with how the InnoWell Platform would be used as part of their mental health care (11/45, 24% of the participants strongly disagreed or disagreed; 15/45, 33% were neutral; and 19/45, 42% strongly agreed or agreed). During the semistructured interviews (n=3) and workshop, participants consistently indicated that the InnoWell Platform was appropriate for their respective services; however, they questioned whether the services’ respective consumers had the digital literacy required to use the technology. Additional potential barriers to implementation included health professionals’ digital literacy and service readiness for change. CONCLUSIONS Despite agreement among participants that HITs have the potential to result in improved outcomes for consumers and services, service readiness for change (eg, existing technology infrastructure and the digital literacy of staff and consumers) was noted to potentially impact the success of implementation, with less than half (20/45, 44%) of the participants indicating that their service was ready to implement new technologies to enhance mental health care. Furthermore, participants reported mixed opinions as to whether it was their responsibility to recommend technology as part of standard care.

OBJECTIVE Building upon earlier research, a person-centred technology-enabled solution (the InnoWell Platform) is being co-designed and implemented into regional youth primary mental health services to improve clinical safety and service quality. DESIGN Co-design methodologies of service pathway mapping and participatory design workshops as well as usability testing guide the development and implementation of the InnoWell Platform. SETTING AND PARTICIPANTS headspace centres on the North Coast of New South Wales and their associated communities. MAIN OUTCOME MEASURES Participation in co-design methodologies, implementation and uptake, identification of youth mental health care needs, and service provision. RESULTS Nine service pathway mapping (N = 81 participants) and 10 participatory design (N = 48) workshops and usability testing sessions (N = 30) with youth, their supportive others, health professionals, service managers and administrators have been conducted. Four headspace centres have implemented the InnoWell Platform. To date, 120 youth are using the platform and 96 have completed an initial multidimensional assessment. Of these, the majority reported moderate-to-high psychological distress and a quarter reported experiencing high suicidal thoughts and behaviours with subsequent earlier provision of care. Young people have independently commenced recommended online tools and collaborated on clinical care options with their health professionals. CONCLUSIONS Preliminary findings support co-design methodologies for the development of person-centred technology-enabled solutions embedded within youth primary mental health services in regional Australia. The findings further demonstrate that such solutions may improve clinical safety and service quality, which in turn may facilitate the delivery of the right care, first time!

Background Health information technologies are being rapidly developed to improve the delivery of mental health care; however, a range of facilitators, barriers, and contextual conditions can impact the adoption and sustainment of these solutions. An implementation science protocol supports researchers to achieve primary effectiveness goals in relation to mental health services reform and aids in the optimization of implementation processes to promote quality health care, prolonging sustainability. Objective The aim of this paper is to describe our implementation science protocol, which serves as a foundation by which to systematically guide the implementation of technology-enabled solutions in traditional face-to-face and Web-based mental health services, allowing for revisions over time on the basis of retrospective review and constructive feedback from the services in which the technology-enabled solutions are implemented. Methods Our implementation science protocol comprises four phases. The primary objective of the scoping and feasibility phase (Phase 1) is to determine the alignment between the service partner and the quality improvement goals supported by the technology-enabled solution. This is followed by Phase 2, the local co-design and preimplementation phase, which aims to utilize co-design methodologies, including service pathway modelling, participatory design, and user (acceptance) testing, to determine how the solutions could be used to enhance the service. In Phase 3, implementation, the accepted solution is embedded in the mental health service to achieve better outcomes for consumers and their families as well as health professionals and service managers. Using iterative evaluative processes throughout Phase 3, the solution is continuously developed, designed, and refined during implementation to adapt to the changing needs of the stakeholders, including consumers with lived experience and their families as well as the service. Thus, the primary outcome of Phase 3 is the optimized technology-enabled solution that can be maintained in a service during the sustainment and scalability phase (Phase 4) for the purposes of mental health services reform. Results Funding for the protocol was provided by the Australian Government Department of Health in June of 2017 for a period of 3 years. At the time of this publication, the protocol had been initiated in 11 services, serving three populations, all of which are currently operating in Phase 3. The first results are expected to be submitted for publication in 2020. Conclusions With the aim of improving mental health service quality, our implementation science protocol aids in the identification of factors that predict the likelihood of implementation success, as well as the development of strategies to proactively mitigate potential barriers to achieve better implementation outcomes. Putting in place a theoretically sound implementation science protocol is essential to facilitate the uptake of novel technology-enabled solutions and evidence-based practices into routine clinical practice for the purposes of improved outcomes.

Background Health information technologies (HITs) are becoming increasingly recognized for their potential to provide innovative solutions to improve the delivery of mental health services and drive system reforms for better outcomes. Objective This paper describes the baseline results of a study designed to systematically monitor and evaluate the impact of implementing an HIT, namely the InnoWell Platform, into Australian mental health services to facilitate the iterative refinement of the HIT and the service model in which it is embedded to meet the needs of consumers and their supportive others as well as health professionals and service providers. Methods Data were collected via web-based surveys, semistructured interviews, and a workshop with staff from the mental health services implementing the InnoWell Platform to systematically monitor and evaluate its impact. Descriptive statistics, Fisher exact tests, and a reliability analysis were used to characterize the findings from the web-based surveys, including variability in the results between the services. Semistructured interviews were coded using a thematic analysis, and workshop data were coded using a basic content analysis. Results Baseline data were collected from the staff of 3 primary youth mental health services (n=18), a counseling service for veterans and their families (n=23), and a helpline for consumers affected by eating disorders and negative body image issues (n=6). As reported via web-based surveys, staff members across the services consistently agreed or strongly agreed that there was benefit associated with using technology as part of their work (38/47, 81%) and that the InnoWell Platform had the potential to improve outcomes for consumers (27/45, 60%); however, there was less certainty as to whether their consumers’ capability to use technology aligned with how the InnoWell Platform would be used as part of their mental health care (11/45, 24% of the participants strongly disagreed or disagreed; 15/45, 33% were neutral; and 19/45, 42% strongly agreed or agreed). During the semistructured interviews (n=3) and workshop, participants consistently indicated that the InnoWell Platform was appropriate for their respective services; however, they questioned whether the services’ respective consumers had the digital literacy required to use the technology. Additional potential barriers to implementation included health professionals’ digital literacy and service readiness for change. Conclusions Despite agreement among participants that HITs have the potential to result in improved outcomes for consumers and services, service readiness for change (eg, existing technology infrastructure and the digital literacy of staff and consumers) was noted to potentially impact the success of implementation, with less than half (20/45, 44%) of the participants indicating that their service was ready to implement new technologies to enhance mental health care. Furthermore, participants reported mixed opinions as to whether it was their responsibility to recommend technology as part of standard care.

Transformational reforms in mental health services are providing more young Australians who experience mental health problems with access to high-quality care. However, the current diagnostic approach has low utility in the early stages of illness, causing uncertainty among clinicians in regard to matching clients' needs with safe and effective interventions. The authors propose a clinical staging model that has the potential to better match illness stage to intervention. The model allows clinicians to provide more personalized and responsive care, especially to young people with attenuated syndromes (subthreshold disorders) who have a clear need for mental health care but who may not otherwise receive it. This approach can also assist clinicians in considering the potential trajectory of illness. Recent research using this framework has demonstrated the model's prospective utility. The authors describe application of the model in an early intervention youth mental health service in Australia.