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App-based support for parental self-efficacy in the first 1,000 days: A randomized control trial.

Laura A Outhwaite¹

¹Centre for Education Policy and Equalising Opportunities, IOE, UCL's Faculty of Education and Society, University College London, London, United Kingdom.

Frontiers in Psychology

|January 30, 2023

Summary

A new parenting app significantly boosted parental self-efficacy in parents of infants aged 0-6 months. Higher app usage correlated with greater self-efficacy, showing potential for early childhood interventions.

Keywords:

early child development first 1,000 days parental self-efficacy parenting app randomized control trial

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Area of Science:

Child Development
Parenting Interventions
Digital Health

Background:

Parental self-efficacy is crucial for effective parent-child interactions and early intervention.
Existing interventions often lack scalable, accessible tools for parents of young children.

Purpose of the Study:

To pilot test a novel parenting application designed to enhance parental self-efficacy.
To evaluate the efficacy of a parenting app in improving self-efficacy among parents of infants (0-6 months).

Main Methods:

A pilot randomized controlled trial (RCT) involving 79 parents of infants aged 0-6 months in the UK.
Intervention group used a parenting app with daily developmental activities; control group received standard care.
Parental self-efficacy was measured pre- and post-intervention, controlling for baseline scores.

Main Results:

Parents using the app demonstrated significantly higher parental self-efficacy compared to the control group after 4 weeks.
Frequency of app usage positively correlated with improvements in parental self-efficacy.
The findings support the app's potential to positively impact parental confidence.

Conclusions:

Parenting applications represent a viable and effective tool for enhancing parental self-efficacy in early childhood.
This study provides proof of concept for digital interventions in supporting early parenting.
Future research should explore long-term effects and broader generalizability.