Mobile Health Interventions for Modifying Indigenous Maternal and Child–Health Related Behaviors: Systematic Review
Notice bibliographique
Résumé
Background: Mobile health (mHealth) interventions promoting healthy lifestyle changes offer an adaptable and inexpensive method for accessing health information but require cultural appropriateness and suitability for acceptance and effectiveness in Indigenous populations. No systematic review on effective mHealth interventions for Indigenous women during pregnancy and the early childhood years has been conducted. Objective: This review evaluated the effectiveness of mHealth interventions promoting healthy behaviors for Indigenous mothers and children from conception to 5 years post partum. It also aimed to explore the observed effectiveness differences based on participant engagement, intervention design, and provision of context. Further, the review explored if the interventions were co-designed. Methods: A systematic search of 5 databases was conducted: SCOPUS, MEDLINE, CINAHL, PsycINFO, and ProQuest (Dissertation or Thesis). Studies were included if they were either a randomized controlled trial, pre-post comparison, or a cohort study using mHealth with Indigenous women for maternal and child health following a preregistered PROSPERO protocol (CRD42023395710). HealthInfoNet was searched for gray literature and the reference lists of included studies were hand searched. The initial title and abstract screen for eligibility were performed by 1 reviewer. A full-text screen of eligible studies and a quality appraisal of included studies was performed by 2 reviewers independently. The appraisal tools used were the Mixed Methods Quality Appraisal Tool and the Centre of Excellence in Aboriginal Chronic Disease Knowledge Translation and Exchange (CREATE). A descriptive synthesis of the extracted data was performed. Results: Of the 663 articles screened, only 3 met the eligibility criteria. Each paper evaluated a different mHealth intervention: Remote Prenatal Education; the SMS Parent Action Intervention (two-way text messaging); and the Screening, Brief Intervention and Referral to Treatment (SBIRT) eCHECKUP To Go (web-based screening and intervention). Statistically significant changes were reported in some outcomes, including an increase in the parental participation rate in face-to-face prenatal education; increased rate of breastfeeding initiation and exclusive breastfeeding (2-12 months); improved overall children’s behavior related to sleep, diet, physical activity, screen time, and intake of sugary beverages; improved individual children’s behavior related to physical activity and sleep; and decrease in alcohol drinks per week and binge drinking episodes per 2 weeks due to time effect. However, no study provided a sample size calculation for the reported significant outcomes. Also, due to the small number of included studies and each study evaluating a different intervention, it was not possible to combine results to ascertain if the participant engagement, intervention design, or community context had any impact on the effectiveness. Conclusions: Due to the lack of sample size calculation, it was not possible to establish whether differences in the effectiveness were due to the interventions or a type I statistical error. Therefore, caution is required in the interpretation of these findings.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,008 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,006 |
| Bibliométrie | 0,006 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 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 ».