Embedding Technology-Assisted Parenting Interventions in Real-World Settings to Empower Parents of Children With Adverse Childhood Experiences: Co-Design Study
Bibliographic record
Abstract
BACKGROUND: Adverse childhood experiences are strongly associated with mental disorders in young people. Parenting interventions are available through community health settings and can intervene with adverse childhood experiences that are within a parent's capacity to modify. Technology can minimize common barriers associated with engaging in face-to-face parenting interventions. However, families experiencing adversity face unique barriers to engaging with technology-assisted parenting interventions. Formative research using co-design methodology to provide a deep contextual understanding of these barriers can help overcome unique barriers and ensure these families can capitalize on the benefits of technology-assisted parenting interventions. OBJECTIVE: This study aims to innovate the parenting support delivered by a community health and social service with technology by adapting an existing, evidence-based, technology-assisted parenting intervention. METHODS: Staff (n=3) participated in dialogues (n=2) and co-design workshops (n=8) exploring needs and preferences for a technology-assisted parenting intervention and iteratively developing a prototype intervention (Parenting Resilient Kids [PaRK]-Lite). Parents (n=3) received PaRK-Lite and participated in qualitative interviews to provide feedback on their experience and PaRK-Lite's design. RESULTS: PaRK-Lite's hybrid design leverages simple and familiar modes of technology (podcasts) to deliver intervention content and embeds reflective practice into service provision (microcoaching) to enhance parents' empowerment and reduce service dependency. A training session, manuals, session plans, and templates were also developed to support the delivery of microcoaching. Feedback data from parents overall indicated that PaRK-Lite met their needs, suggesting that service providers can play a key role in the early phases of service innovation for parents. CONCLUSIONS: The co-designed technology-assisted parenting intervention aims to offer both parents and clinicians a novel and engaging resource for intervening with maladaptive parenting, contributing to efforts to respond to childhood adversity and improve child mental health. Future research in the field of human-computer interaction and health service design can consider our findings in creating engaging interventions that have a positive impact on the well-being of children and families.
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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 | 0.026 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".