Evidence map›Paper›PMID 41406472›Full record

ArticleJMIR formative research2025

Enhancing Parenting Using AI: Exploratory Hackathon.

Peter Woods, Stephanie Donohoe, Louise Turtle, Udit Agrawal, Joshua Humphriss, Niel Cordes, Nathan Hodson

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Peter Woods *Warwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0000-0002-0910-8291
Stephanie Donohoe *Warwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0009-0007-6764-6008
Louise TurtleWarwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0009-0008-6288-1014
Udit AgrawalWarwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0009-0009-7202-7732
Joshua HumphrissWarwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0009-0002-5197-3593
Niel CordesWarwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0009-0006-4657-6728
Nathan HodsonWarwick Medical School, University of Warwick, Coventry, England, United Kingdom.ORCID 0000-0001-6022-2260

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundParenting skills programs are the primary intervention for conduct disorders in children. The Pause app enhances these programs by providing digital microinterventions that reinforce learning between sessions and after program completion. The potential of artificial intelligence (AI) in this context remains untapped. Hackathons have proven effective for health care innovation and can facilitate collaborative development in this space.

objectiveWe aimed to rapidly build AI-powered features in the Pause app to enhance parenting skills.

methodsWe undertook a 1-day hackathon that included an ideation phase drawing on the Design Council's double diamond framework and a development phase using microsprints based on agile and scrum approaches. The interdisciplinary participants included medical professionals, developers, and product managers.

resultsParticipants identified 3 core problems: generating age-appropriate distractions, receiving feedback on parenting efforts, and effectively using the journal function. During the solution phase, a wide range of options were explored, resulting in 3 key solutions: AI-assisted idea generation, a tool for summarizing parenting interactions, and a weekly journal roundup. During the development phase, participants completed 4 microsprints. Teams focused on 3 workstreams: building a "weekly roundup" module, creating an AI-based distraction generator, and developing a summarizer for active play sessions. These prototypes were integrated into the preproduction environment, with each workstream producing a functional component. Participant feedback (n=4) was unanimously positive, with all participants rating the event as "excellent" and highlighting the value of in-person collaboration.

conclusionsThis 1-day hackathon used the double diamond approach to develop AI-powered features for parenting programs. Three solutions were explored across workstreams, resulting in 2 fully functioning and 1 near-functioning app component. The rapid problem-solving approach mirrors other health technology hackathons and highlights the untapped potential of AI in digital parenting support, surpassing traditional e-learning or video-based methods. This work suggests broader applications of AI-driven coaching in fields like social care. Despite a small team, the hackathon was focused and productive, generating relevant solutions based on prior engagement with parents and practitioners. Future research will assess the impact of the app's AI-powered features on parenting outcomes.

Indexed as

Artificial IntelligenceMobile ApplicationsParentingParentsAdultChildFemaleHumansMalehackathonlarge language modelsmental healthparentingpsychiatry

Identifiers

PMID41406472
PMCPMC12756661

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.