Experiences and Priorities in Youth and Family Mental Health: Protocol for an Arts-Based Priority-Setting Focus Group Study
Bibliographic record
Abstract
BACKGROUND: During the COVID-19 pandemic, eHealth services enabled providers to reach families despite widespread social distancing restrictions. However, their rapid adoption often occurred without community partners' involvement and without an understanding of how they prioritize aspects of their mental health and associated service provision, both of which promote family and community-centered health care delivery. Establishing priorities in health care is essential for developing meaningful and reliable health services. As such, there is an urgent need to understand how eHealth service users, especially families who may have historically faced oppression and systemic barriers to service access, can best benefit from them. Arts-based approaches can elicit an understanding of priorities by providing an engaging and expressive means of moving beyond readily expressible discursive language and stimulating meaningful dialogue reflective of participants' lived experiences. OBJECTIVE: The purpose of this research is to determine the priorities and preferences of youth; parents or caregivers; newcomers and immigrants; and Indigenous community members regarding the use of eHealth in supporting their mental health using an innovative arts-based priority-setting method. METHODS: This study uses a mixed-methods approach combining qualitative, quantitative, and arts-based research. It follows a survey used to identify key knowledge partners who are interested in improving eHealth services for mental health support in Manitoba, Canada. Knowledge partners interested in group-based priority setting will be contacted to participate. We will facilitate approximately two focus groups across each subgroup of youth, parents or caregivers, newcomers or immigrants, and Indigenous community members using an integrative, quantitatively anchored arts-based method termed the "Circle of Importance" to understand participants' mental health priorities and how eHealth or technology may support their mental well-being. The Circle of Importance involves placing small objects, whose meaning is determined by participants, on a visual board with concentric circles that correspond to a 5-point Likert scale of importance. Following each focus group, we will evaluate participants' and focus group facilitators' experiences of the Circle of Importance using a survey and follow-up structured in-person interviews to garner how we can improve the arts-based approach used in the focus groups. RESULTS: The PRIME (Partnering for Research Innovation in Mental Health through eHealth Excellence) theme received institutional ethics approval on August 23, 2023. Data collection is projected for August 2023, with follow-up focus groups occurring in early 2024 as required. Data analysis will occur immediately following data collection. CONCLUSIONS: Findings will directly inform a multiyear applied research agenda for PRIME aimed at improving mental health services through engaging key knowledge partners. The results may inform how arts-based methods in a priority setting can reflect aspects of experience beyond the capacities of qualitative or quantitative methods alone, and whether this approach aligns well with a positive experience of research participation. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/50208.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.075 | 0.044 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.061 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".