ClinicalTrials.gov
public full text
Public Domain
Mobile Health Intervention for Infants in Guatemala (18-m Intervention)
Promoting optimal development for children at risk in low- and middle-income countries (LMICs) is an important global health priority. Supporting caregivers to provide nurturing care is an evidence-based strategy, however feasibility of scaling-up this supporting is limited by competing demands on health workers' time. For infant development, mHealth technologies have the potential to solve this problem by providing tailored content directly to caregivers, involving and empowering them to promote infant development, promoting and facilitating interactions with health workers when areas of concern are identified and, therefore, expanding the reach of healthcare systems. Following a pilot feasibility study, this current study will examine the effectiveness of a caregiver-directed smartphone application to directly engage first-time caregivers in rural Guatemala and support early childhood development.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Mobile Health Intervention to Promote Positive Infant Health Outcomes in Guatemala#1163484
- AIM 3 Focused Adaptation of a Mobile Caregiver Intervention for Dementia Caregivers#915336
- The Pakistan Early Childhood Development Scale Up Trial#967375
- Peer Learning and HBB in Managing Maternal Newborn and Child Health Emergencies in Rural Uganda#1139802
- Effects of a Parenting Skills Training Program on Maternal Self-Efficacy, Perceived Social Support, and Infant Development in Mothers of Preterm Infants Aged 6-12 Months#1137166
Record · ID 811230
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive