MétaCan
Menu
← Back to cohort
Record W4402155828 · doi:10.2196/60317

Digital Youth and Family Engagement Program for Adolescents Who Receive Outpatient Mental Health Services: Qualitative Evaluation

2024· article· en· W4402155828 on OpenAlexvenueno aff
Justin Kramer, Katrina Hazim, Jason Roberge

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthQualitative researchPsychologyApplied psychologyMedical educationPsychiatryMedicineSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Incidents of depression, anxiety, and suicidal ideation among adolescents have increased in recent years. Mental health interventions tailored to adolescents and families need to consider mechanisms for increasing enrollment and sustaining program engagement. A telephone-based, health coach intervention for adolescents and families was implemented at a Southeastern US health system with the goals of improving psychiatric appointment attendance, medication adherence, reduction in emergency department visits, and assisting with crisis management ("Youth and Family Engagement" [YFE] program). OBJECTIVE: This study aims to explore patients' and parents' perceptions of a mental health program and the factors that impact enrollment and sustained engagement. METHODS: Semistructured interviews were conducted with adolescent patients (n=9, 56%), parents (n=11, 92%), and clinicians who placed patient referrals (n=6, 100%). Interviews were in English (participants: 19/26, 73%) or Spanish (parents: 7/11, 64%), depending upon participants' preference. Interviews explored perceptions of the YFE program, experiences working with health coaches, suggestions for program changes, and program goals. The data were analyzed using inductive coding methodologies, with thematic analysis used to organize emergent themes. Two qualitatively trained researchers, one bilingual in English and Spanish, facilitated all data collection and collaboratively performed data analysis. RESULTS: The YFE program's structure was often mentioned as promoting engagement, with telephone appointments and health coaches' ability to accommodate inflexible work or school schedules alleviating participation barriers. Skills learned from health coaches were frequently referenced, with adolescents generally citing internal processes, such as positive thinking and mindfulness. Parents discussed behaviors relative to their children, such as improvements with discipline, setting boundaries, and improved parent-child communication. Many participants discussed the importance of health coaches assisting families in navigating social systems, such as accessing resources (eg, housing) and navigating school processes (eg, individualized educational plans), with clinicians suggesting an increased emphasis on adolescents' nutrition and engagement in primary care. Spanish-speaking parents highlighted numerous advantages of working with bilingual health coaches, emphasizing both enhanced communication and cultural understanding. They specifically noted the coaches' ability to grasp their lived experiences and challenges as immigrants in the United States, which significantly enriched their participation in the program. CONCLUSIONS: Prioritizing convenient engagement for adolescents and families may be important for sustained program participation, as inflexible schedules and competing priorities pose barriers to traditional appointments. Future programs should carefully consider health coach-participant relationships, specifically cultural competency, providing services in native languages, and assisting families with wraparound care, as these may be crucial to sustained engagement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.139
GPT teacher head0.497
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Formative Research→Same topicChild and Adolescent Psychosocial and Emotional Development→French-language works237,207→