A Web-Based Intervention for Young Adults Whose Parents Have a Mental Illness or Substance Use Concern: Protocol for a Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: One in 5 young people grow up in a family where one parent has experienced a mental health problem or substance use concern. Compared with their same-aged peers, these youth are at a higher risk of academic failure and acquiring a substance abuse and/or mental health issue. There is a paucity of accessible, age-appropriate interventions that address their needs. OBJECTIVE: A 6-week, web-based intervention, "mental illness: supported, preventative, online, targeted" (mi.spot), was developed based on previous research and the competence enhancement model. This paper describes the protocol for a randomized controlled trial and details how the usage, safety, acceptability, and feasibility of the intervention will be determined. METHODS: Participants will be recruited through social media and clinician referral. A total of 70 Australians, aged 18 to 25 years, who grew up with parents with a mental illness or substance use concern will participate in a 2-arm parallel randomized controlled trial. The assessment will consist of a baseline measurement and 2 follow-up periods, posttest and 6-week follow-up, using the Mental Health Continuum short form; the Depression, Anxiety, and Stress Scale; the Coping Orientation to Problems Experienced inventory; the General Help Seeking Questionnaire; the Social Connectedness Scale; the Mental Health Literacy Scale; the General Self-Efficacy Scale; and the Attribution of Responsibility for Parental Mental Illness Measure. Impact will be examined at pre, post, and follow-up time periods using analyses of variance that will include a within-subjects factor (time) and a between-subjects factor (intervention/control). Facilitator interviews will ascertain intervention feasibility. Participant interviews will ascertain intervention acceptability. Interview data will be analyzed within a qualitative framework. Usage (data analytics) across site features and several indicators of clinical safety will also be reported. RESULTS: The impact of mi.spot will be examined at pre, post, and follow-up time periods using analyses of variance on each of the measures outlined above. There will be a within-subjects factor (time) and a between-subjects factor (intervention/control). Data analysis will employ the intention-to-treat principle by including all participants in the analyses. Qualitative interview data will be analyzed using interpretative phenomenological analysis along with respondent validation. The Monash University Human Research Ethics Committee (reference number: 2019-18660-30434) approved the trial on April 17, 2019. As of October 2, 2019, 30 participants were enrolled in the control group and 34 participants were enrolled in the intervention group. Result are expected to be submitted for publication in December 2020. CONCLUSIONS: Study results will provide reliable evidence on a web-based intervention that has the potential to make a difference to the lives of many vulnerable young adults. Implementation guidelines are needed to embed the intervention in different service sectors. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12619000335190; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12619000335190. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/15626.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».