The Feasibility and Acceptability of an App-Based Intervention Aimed at Improving Maternal Health Literacy Regarding Infant Play and Development: Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: Allowing infants access to unstructured, unrestricted play in their home environment is imperative for increasing healthy movement behaviors and, therefore, developmental outcomes. Interventions should equip mothers to provide opportunities for infant play as early as possible. Evaluating such interventions is necessary to understand the feasibility for scale-up and implementation in specific contexts. Furthermore, the appropriateness and relevance of standardized outcome measures in different ethnic and socioeconomic contexts should be determined to ensure validity. OBJECTIVE: This study aimed to (1) test the feasibility and acceptability of an intervention aimed at improving maternal health literacy regarding infant play and development and (2) determine participants' understanding of the study outcome questionnaires. METHODS: This mixed methods study was nested within the Play Love and You (PLAY) study, a randomized controlled trial (PACTR202202747620052) designed to promote infant development. Mothers assigned to the PLAY study intervention arm at 6 months post partum (n=68) received telephone or in-person check-ins and assessments every 2 months and health literacy intervention content and resources (videos and infographics) delivered via a mobile app every week. Feasibility was assessed by monitoring appointment attendance (adherence) and frequency of access to the content via the app. Acceptability was explored using a questionnaire and 2 participant focus group discussions (FGDs) at the end of the study (12 months post partum). The FGDs also included questions exploring the participants' understanding of the 4 study outcome measure questionnaires administered at both 6 and 12 months. RESULTS: In total, 68 participants were enrolled in the study at 6 months, of whom 17 (25%) attended the FGDs (n=8, 47% in FGD 1 and n=9, 53% in FGD 2). A total of 79% (49/62) of the participants completed the acceptability questionnaire. The health literacy content was found to be highly acceptable based on qualitative and quantitative data. Most acceptability questions had 98% (48/49) positive answers. Participants enjoyed learning about active infant play and developmental milestones and how to make recycled toys. Over 80% of participants (62/68, 91%) attended the 12-month exit appointment. Most of the participants (47/62, 76%) could access the intervention content over the 12 months of the PLAY study, and of those, 60% (28/47) looked at content more than once a week, and 11% (5/47) did so every day. Less than a quarter (10/47, 21%) only looked at the content sporadically. Access was impacted by technical difficulties attributed to using inconsistent external service providers. CONCLUSIONS: This study was found to be acceptable to participants and feasible in this setting. The high acceptability of the intervention content and belief that other mothers would benefit from it suggests potential for effectiveness in similar communities. However, the feasibility of app-based interventions relies on consistent and low-cost management of digital tools in low-resource settings.
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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 | 0,049 | 0,045 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».