Abstract
Background
For youth and young adults (YYAs) with mental health concerns, digital mental health (dMH) can improve access to care and support collaboration with providers. Measurement-based care using a dMH platform may further optimize YYA outcomes by individualizing treatment approaches. Engaging service providers and YYA provides an opportunity to better understand how to mitigate implementation challenges.
Aim
Explore the experiences of mental health care providers and YYAs regarding the implementation of a dMH platform for YYAs accessing mental health care in multiple care settings.
Methods
Mental health care providers and YYA service users completed an electronic survey exploring their experiences and perceptions of implementing a dMH platform. Survey design, data analysis, and reporting were informed by the Consolidated Framework for Implementation Research (CFIR).
Results
A total of 195 individuals (100 providers, 95 YYAs) responded. Of those, 48 providers and 79 YYAs reported using the platform at least once. Both groups identified several important factors supporting implementation including collaborative relationships between providers and YYAs, the ability to monitor mental health outcomes, and increased YYA engagement in care. The need for increased provider training and automatic reminders for YYAs to use the platform were common barriers. Each group perceived the other to be uninterested in using the platform, highlighting the importance of using all stakeholder views to inform implementation planning.
Conclusions
Successful implementation of dMH for care of YYA requires ongoing, user-informed training, integration into existing workflows, and alignment with YYA priorities for care. Future work exploring provider and youth perceptions of the others’ “buy-in” is needed to inform future implementation strategies.
Introduction
Mental illness in youth and young adults (YYA) aged 12–25 years is a global public health concern.1,2 Youth and young adulthood is a critical period of developmental and transitional change,3,4 and it is estimated that one in five youth experiences a mental health concern each year. 5 In a recent epidemiological meta-analysis, the authors reported that many mental health disorders have an onset occurring before ages 14, 18, and 25 in 33%, 48.4%, and 62.5% of individuals, respectively. 6 Concerningly, most youth will remain undiagnosed/untreated in part due to barriers to accessing mental health services. 5 Common barriers include lack of availability/accessibility of appropriate treatment options, service cost, youth's lack of knowledge about mental health care systems, confidentiality issues, perceived stigma of mental health conditions, and youth's geographical location. 7 Left untreated, YYA with significant mental health concerns are more vulnerable to subsequent stressors and impairment in functioning across the lifespan.8–10
Isolation and increased stress due to the COVID-19 pandemic have further contributed to worsening mental health among YYA.11–13 The abrupt disruptions to educational routines and social interactions contributed to increased feelings of uncertainty and anxiety14,15 and tended to exacerbate existing mental health issues such as depression and anxiety. 14 The loss of traditional support systems, coupled with the economic repercussions of the pandemic, has heightened stress levels for individuals and their families 16 and highlighted the need for targeted mental health interventions to aid YYA in navigating these psychological issues. 17
Digital mental health and measurement-based care
Digital Mental Health (dMH) is an emerging care modality to addressing the specific needs of youth. 18 dMH services cater to the preferences of tech-savvy YYA, providing convenient and confidential avenues to seek support including apps, e-tools, crisis resources, and cues to discuss care options with their clinicians.19–21 A dMH platform can foster a sense of connection, making this a promising avenue to reach and engage youth.20,22,23 Prior work has reported that providers are supportive of dMH, particularly regarding the ability to provide extra support to clients and potential for extra treatment options and provision of general education.21,24,25 In contrast, two recent (2019, 2020) systematic reviews found that unrelatable (e.g. generic) educational material/content was not appealing to youth, and they were more likely to stop using the intervention in those situations.20,26 While studies have reported on the gaps between the potential positive impact of digital mental health interventions and actual uptake, 24 they have focused on perceptions and experiences of providers, organizations, and funders.24,27 Reporting of YYA perceptions of this gap, as well as the implementation process in general, remains limited.
dMH is grounded in measurement-based care (MBC), shared decision making, personalized medicine, and tailored interventions.28,29 MBC involves the systematic use of standardized assessments to gauge and monitor a person's mental health status over time.30,31 MBC allows providers to gain a comprehensive understanding of changes in a patient's symptoms and functioning over time, 32 supports timely intervention and adjustment of treatment plans, 33 increases patient engagement with care, 34 and is associated with improved patient outcomes.34,35 Evaluation of MBC in youth mental health care settings has thus far focused on the perceptions and experiences of providers rather than YYAs 36 ; inclusion of the youth’s voice is important to understand how dMH and MBC work in a real-world setting.
Multiple challenges in the implementation, uptake, and integration of dMH into current workflow processes within clinical services have been noted. 37 Much of the literature has focused on clinician perspectives of implementation issues including digital literacy and social and organizational factors impacting workflow integration and clinician uptake.38–41 The literature exploring the YYA perspectives and recommendations regarding dMH is sparse. Additionally, recommendations that reflect both YYA's and mental health care providers’ experiences are lacking. 42 Understanding the perspectives of clinicians and service users is vital for effective planning, resource allocation, community partner engagement, sustainability, customization, and continuous improvement of dMH. 23
Consolidated framework for implementation research
The Consolidated Framework for Implementation Research (CFIR) is a conceptual framework used to identify factors that impact implementation and effectiveness of interventions and/or programs. 43 The CFIR includes 39 constructs across five domains associated with implementation outcomes: intervention characteristics (e.g. stakeholder perceptions of complexity of the intervention), outer setting (e.g. policy), inner setting (e.g. organizational features), individuals (e.g. knowledge of the intervention), and implementation process (e.g. reflections on the process). The CFIR has been used extensively to guide the evaluation of both the intervention and the implementation process in a wide variety of health care settings36,44,45 and implementation/evaluation approaches (including learning health systems and rapid cycle evaluations.36,45 An important outcome of using the CFIR framework is the ability to identify practical, actionable findings that can be used to guide the implementation process. 45
Current study
Systematic evaluation of the implementation of dMH interventions is key to optimizing patient and system outcomes. Therefore, this study aimed to understand the experiences of service providers and YYAs regarding the implementation of a dMH platform in youth mental health settings and develop recommendations for future implementation activities. To achieve this, a comprehensive survey was conducted, focusing on identifying the barriers and facilitators that influence the adoption and use of dMH. This survey was structured around the CFIR which provided a framework for developing survey questions, guiding data analysis, and organizing the reporting of results. The multi-faceted approach of the CFIR model allowed for an in-depth exploration of the five domains including intervention characteristics, inner and outer settings, characteristics of individuals, and the process of implementation.
Methods
The present study is part of a larger study exploring implementation of dMH into community-based and specialized mental health care settings. 21 The study methods have been previously described 21 ; briefly a dMH platform was implemented in several mental health settings throughout Alberta, and subsequently evaluated to examine the impact of dMH on clinical (patient) and health system outcomes. The present study used a survey design to collect information regarding barriers and facilitators of implementing dMH from the perspective of providers and youth. All providers who received training and were onboarded to the platform in all settings and all YYA who consented and accepted the invitation to use the dMH platform between January 2023 and April 2024 were invited to participate in the survey.
Study setting and participants
The dMH platform was implemented in four mental health service settings across Alberta including primary care networks (PCNs), schools, specialized mental health services, and community mental health centers. 21 Potential participants included mental health care providers (e.g. counsellors) and managers employed in one of the included mental health service settings and youth aged 15–24 years who accessed care from these providers. Additional inclusion criteria for providers included completion of training and onboarding requirements for the dMH platform. Additional inclusion criteria for youth included: ability to read and understand English, access to a computer or mobile device and internet. Given that the aim of the work was to explore experiences of implementing dMH among individuals who had been invited/asked to use it, no sample size was calculated.
The platform
The dMH platform used for this work was the Innowell platform. The platform details – including adaptations for the larger project - have been previously described.21,46 In brief, Innowell is designed to enhance mental health clinical care and support and to facilitate a more personalized and collaborative approach to mental health care. 46 Implementation into the service settings involved in the work described in this paper was supported by a clinical implementation team.
CFIR application
This work was divided into two stages: survey design and data collection and analysis. The CFIR model served as a framework for structuring survey questions, data analysis, and result reporting. The CFIR model is freely available for use in research.43,44
Survey design and data collection
The survey was created for this project by the research team; members have expertise in implementation science, program evaluation, mental health, and measurement-based care. Closed and open-ended questions, as well as Likert-scale structured questions, were used to collect data assessing barriers and facilitators of implementation of dMH from providers and youth who did, and did not, use the platform. Questions were structured around four CFIR domains—intervention characteristics (e.g. complexity of the intervention). inner setting (characteristics of the delivery sites for the platform), individuals (e.g. roles and beliefs of the individuals using the platform), and implementation process. 43 Separate surveys with similar questions were developed for each user group (providers and YYAs); wording of questions changed to reflect the intended participant (e.g. “pick the option that best describes where your organization is located” became “pick the option that best describes where you live”). The survey was pretested by team members not involved in development to ensure clarity, comprehensiveness, and appropriateness. Table 1 provides examples of survey questions for each of the domains by participant group; the full survey is included in Supplemental Table 1.
CFIR domains and examples of associated questions.
*CFIR: Consolidated Framework for Implementation Research; adapted from Damschroder et al., 2020.
Data was collected via RedCap (v.13.7.31; Vanderbilt University, 2024). All providers working in the study sites were emailed an invitation to participate in the provider survey three months following completion of initial training and onboarding. Two reminders were sent one and two weeks following the initial invitation. If the survey remained incomplete following the second reminder, the individual was excluded. Given the pragmatic design, potential youth participants were recruited using several steps: providers discussed the dMH platform and study with all eligible youth and provided a registration link for the platform to those who requested it. Youth who subsequently registered to use the platform and consented to be contacted for research were sent a link to the youth survey. As for the providers, two reminders were sent one and two weeks following the initial invitation. If the survey remained incomplete following the second reminder, the individual was excluded. Survey data for both groups was collected from February 2023 to May 2024 inclusive.
Data analysis and reporting
Univariate descriptive statistics (e.g. frequency, percent) were used to summarize demographic data and responses to both closed-ended and Likert scale questions. Responses to open-ended questions were analyzed deductively and similar comments combined and reported with the frequency of occurrence in the data. All responses were categorized according to the four guiding CFIR domains and checked for relevance to the final domain (e.g. outer setting). This approach was repeated for each participant group separately to allow for comparison and identification of similar barriers and/or facilitators, as well as potential solutions/recommendations. Demographic data was analyzed for all individuals who replied to the survey. Assessment of implementation was restricted to individuals who reported using the platform. Non-use included individuals who did not use the platform for any reason. Population centers were defined according to Statistics Canada (2022): small (population between 1000 and 29,999), medium (30,000–100,000), and large (>100,000). 47
Ethics
The study was approved by the University of Calgary's Conjoint Health Research Ethics Board (CHREB) (REB 20-1137). Participants provided informed consent prior to completing the survey. An electronic consent form was included as the first page of the survey; consent to participate was indicated by choosing “yes, I consent to participate” and continuing to the survey.
Results
Overall, 253 individuals were invited to participate—131(51.8%) providers, 122 (48.2%) YYA. The total response rate was 77.1% (195/253) (providers: 76.3% (100/131), YYA: 77.9% (95/122)). The focus of this work is on implementation factors requiring consideration during implementation and the associated contexts (e.g. length of time a provider has been in the role; if a YYA is a student) that are important for understanding the experiences underpinning these.
Overall participant demographics
Participant demographics.
Note: demographics are for all individuals who consented to, and filled out, the survey; all values are
Implementation assessment
Intervention characteristics.
Assessment of implementation.
Note: includes only individuals who had youth on the platform (providers) or who used the platform (YYA); all results are expressed as frequency (%); *respondents could pick >1 option; Anumber of individuals that agree/strongly agree with the statement; Bagree/neutral; Cdenominator = 42.
*CFIR: Consolidated Framework for Implementation Research; adapted from Damschroder et al., 2020.
Inner setting
Individuals
Implementation process
Assessment of non-use
Of the individuals who completed the survey, 52 providers and 16 YYAs reported not using the platform (Supplemental Table 1) (Table 4).
Assessment of non-users.
Discussion
The purpose of this study was to understand the experiences and perceptions of mental health care providers and YYAs regarding the implementation of a dMH platform into several mental health service settings. Overall, we found that providers and YYAs viewed the dMH platform as a positive addition to care, believed that the platform promoted engagement and collaboration between them, and supported monitoring of mental health outcomes. While both groups felt supported in their use of the platform, a need for increased education and training was identified. Both providers and YYAs perceived that the other group was hesitant to use the platform and that this hesitancy created barriers to implementation.
The
The
Health care provider “buy-in” to dMH interventions has been shown to influence patient uptake,
48
particularly in the context of an established therapeutic relationship.27,48 Degree of provider “buy-in” to digital health has been associated in part with their perceptions of patient/client “buy-in”
52
; our results suggest that a similar association exists among YYAs toward their mental health providers. Alignment of stakeholder views has been recognized in the general literature as a contributing factor to successful implementation,24,52 but it has yet to be fully explored in this context. To better understand the implementation factors associated with the
Recommendations for implementation
Several recommendations were developed from this work. First, training regarding the purpose and use of the platform should be ongoing past initial socialization and onboarding. Education should reflect changing clinical practices (e.g. new charting methods/workflows) and include access to training environments within the platform. Second, integration of the platform into clinical settings and client lives should be intentional. For providers, integration should reflect current workflows, duplication of tasks (e.g. charting) should be minimized, and any changes to workflow and/or scheduling (e.g. adding extra time into appointments for review, or restructuring appointment flow) should be explored with providers and management. For YYAs, integration should consider individuals’ devices (e.g. phone make/model), lifestyle, and motivation for using dMH. Finally, feedback from providers and YYAs should be regularly collected and shared back to both groups so that misperceptions and “sticking points” (including differing views on usefulness, treatment goals) can be identified and implementation processes and associated education adjusted accordingly.
Strengths and limitations
Several limitations must be acknowledged. While respondents represented a variety of clinical settings and population centers across the province, the sample sizes were small. Findings therefore may not be generalizable to settings outside of Alberta. Additionally, these findings reflect the experiences of providers and YYAs who are likely to use/or consider using the platform. As providers were able to choose who to invite to use the platform, the experiences of YYAs with certain characteristics (e.g. more severe mental health concerns; inability to access the platform) were not included.
This work has several strengths. Importantly, it is one of few studies that include YYA experiences and perceptions of the processes underlying implementation of dMH. Additionally, inclusion of both service providers and users allowed us to identify barriers to implementation that had not yet been discussed in the literature. Finally, the breadth of questions asked in the surveys allowed for identification of specific barriers and facilitators regarding both the use of the dMH platform and the implementation approach.
Conclusion
Our results suggest that providers and YYAs support the implementation of a dMH platform into care across several clinical and community settings. This study identified several factors that could influence the implementation of dMH, including user perceptions of acceptability. Providing continuing and hands-on education for providers and YYAs has the potential to further increase uptake among both groups. Our findings suggest that misalignment between provider and YYA perceptions of each other's willingness to use the platform is an important barrier to consider when developing implementation approaches. Implementation strategies should address these gaps to ensure that dMH interventions are matched to the needs of a variety of potential users.
Supplemental Material
sj-docx-1-dhj-10.1177_20552076241289179 - Supplemental material for Mental health provider and youth service users’ perspectives regarding implementation of a digital mental health platform for youth: A survey study
Supplemental material, sj-docx-1-dhj-10.1177_20552076241289179 for Mental health provider and youth service users’ perspectives regarding implementation of a digital mental health platform for youth: A survey study by Julia Hews-Girard, Katherine Bright, Marianne Barker, Emily M Bassi, Frank Iorfino, Haley M LaMonica, Karen Moskovic, Melanie Fersovitch, Leanne Stamp, Jessica Gondziola, Ian Hickie and Gina Dimitropoulos in DIGITAL HEALTH
Supplemental Material
sj-docx-2-dhj-10.1177_20552076241289179 - Supplemental material for Mental health provider and youth service users’ perspectives regarding implementation of a digital mental health platform for youth: A survey study
Supplemental material, sj-docx-2-dhj-10.1177_20552076241289179 for Mental health provider and youth service users’ perspectives regarding implementation of a digital mental health platform for youth: A survey study by Julia Hews-Girard, Katherine Bright, Marianne Barker, Emily M Bassi, Frank Iorfino, Haley M LaMonica, Karen Moskovic, Melanie Fersovitch, Leanne Stamp, Jessica Gondziola, Ian Hickie and Gina Dimitropoulos in DIGITAL HEALTH
Supplemental Material
sj-docx-3-dhj-10.1177_20552076241289179 - Supplemental material for Mental health provider and youth service users’ perspectives regarding implementation of a digital mental health platform for youth: A survey study
Supplemental material, sj-docx-3-dhj-10.1177_20552076241289179 for Mental health provider and youth service users’ perspectives regarding implementation of a digital mental health platform for youth: A survey study by Julia Hews-Girard, Katherine Bright, Marianne Barker, Emily M Bassi, Frank Iorfino, Haley M LaMonica, Karen Moskovic, Melanie Fersovitch, Leanne Stamp, Jessica Gondziola, Ian Hickie and Gina Dimitropoulos in DIGITAL HEALTH
Footnotes
Acknowledgments
The authors would like to thank the implementation leads in the different settings for helping with recruitment.
Contributorship
Study conception and design: GD. Data collection: GD, EB, JHG, MB, LS, and JG. Analysis and interpretation of results: GD, JHG, and KB. First draft manuscript preparation: JHG, KB, GD, EB, MB, LS, JG, FI, IH, HL, KL, MF, DJ, and JB. All authors reviewed the results and approved the final version of the manuscript.
Data availability
Due to the nature of the questions asked, the data is not publicly available. However, it may be made available upon reasonable request to the corresponding author.
Declaration of conflicting interests
The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: IH is a Professor of Psychiatry and the Co-Director of Health and Policy, Brain and Mind Centre, University of Sydney. He has led major public health and health service development in Australia, particularly focusing on early intervention for young people with depression, suicidal thoughts and behaviors and complex mood disorders. He is active in the development through co-design, implementation, and continuous evaluation of new health information and personal monitoring technologies to drive highly personalized and measurement-based care. He holds a 3.2% equity share in Innowell Pty Ltd that is focused on digital transformation of mental health services.
Ethical approval
The Conjoint Health Research Ethics Board at the University of Calgary approved this study (REB#20-1137). Respondents gave electronic consent for participation in the study.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was funded by the Alberta Children's Hospital Foundation, Alberta Health Services, the Partnership for Research and Innovation in the Health System (PRIHS), and CIHR (Operating Grant: SPOR iCT Rewarding Success).
Supplemental material
Supplemental material for this article is available online.
References
Supplementary Material
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