Building Emotional Awareness and Mental Health (BEAM): study protocol for a hybrid implementation-effectiveness trial of the BEAM app-based program for parents with clinical mental health problems
Notice bibliographique
Résumé
BACKGROUND: Children are highly sensitive to adversity during their first five years of life, with exposure to chronic parental mental illness (MI) consistently linked to socio-emotional impairments and mental health problems in children. Children born during the COVID-19 pandemic were exposed to unprecedented levels of parental distress, with parental MI reported at three times the pre-pandemic rates. This situation underscored a pressing need for scalable solutions to foster positive mental health and developmental outcomes for a generation of children. In response, we developed the Building Emotional Awareness and Mental Health (BEAM) program, an innovative mobile health (mHealth) solution for parents of young children. Clinical trials to date evaluating BEAM have shown promising results, demonstrating reductions in parent depression, suicidality, anxiety, and harsh parenting practices. This trial involves an effectiveness-implementation hybrid design with co-primary aims of (1) determining BEAM's effectiveness in improving parent mental health, and (2) evaluating the implementation of BEAM in the community through metrics such as feasibility, acceptability, and uptake. This trial's secondary aim is to measure BEAM's effectiveness in improving short-term child mental health and developmental outcomes using primary data and long-term psychosocial family outcomes using administrative data. A final exploratory aim of this trial will measure the cost-utility of delivering BEAM relative to extant health programming. METHODS: A single arm trial with repeated measures will be used to evaluate the effectiveness of implementing the BEAM intervention in the community with a sample of 400 parent participants with a child aged 24-71 months. Participants must self-report moderate to severe symptoms of depression, anxiety, parenting stress, and/or anger at time of enrolment (T0) and live in the province of Manitoba, Canada. Individuals will be recruited through four streams including the (1) Manitoba Crisis Response Services, (2) primary care offices (paediatricians and/or general practitioners), (3) Manitoba family community organizations and child care centres, and (4) social media. Study participants will complete 12 weeks of psychoeducation modules, with access to an online social support forum and check ins with a peer coach. Assessments of parent and child mental health symptoms will occur at pre-test before BEAM begins (T1), immediately after the last week of the BEAM intervention (post-test, T2), 6-month follow-up (T3), and 12-month follow-up (T4). DISCUSSION: The BEAM program offers a promising solution to address elevated parental mental health symptoms, parenting stress, and related child functioning concerns. The present implementation trial aims to extend the groundwork established by an open pilot trial and RCT of the BEAM program, in a next step of testing BEAM's readiness for nationwide scaling. TRIAL REGISTRATION: ClinicalTrials.gov NCT06455397. Registered on June 11, 2024.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,033 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,004 |
| Méta-épidémiologie (sens large) | 0,007 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,004 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,008 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,076 | 0,016 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».