Content area

Abstract

Paper context

Main findings: A community-based neonatal health program that integrates traditional Maya practices, home visits, and digital decision support in rural Guatemala has improved detection of at-risk newborns and referral rates.

Added knowledge: This study highlights the feasibility of combining culturally tailored care, mHealth tools, and accompaniment in Indigenous settings, while documenting significant barriers rooted in structural inequities and cultural distrust.

Global health impact for policy and action: Scaling such integrated models may strengthen neonatal care in marginalized communities, but it requires systemic reforms, investment in local health systems, and respect for cultural autonomy.

Details

1009240
Business indexing term
Location
Title
Integrating Indigenous Maya practices and digital health tools to improve outcomes for Indigenous newborns in Guatemala: a community-based initiative
Author
Strader, Anahí Venzor 1 ; Esteban Castro Aragón 2 ; Coyote, Enma 2 ; Aguilar Ferro, Andrea I 2 ; Rohloff, Peter 3 

 Centro de Investigación en la Salud Indígena, Wuqu’ Kawoq , Tecpán , Guatemala, Boston Children’s Hospital, Division of Emergency Medicine , Boston , MA , USA 
 Centro de Investigación en la Salud Indígena, Wuqu’ Kawoq , Tecpán , Guatemala 
 Centro de Investigación en la Salud Indígena, Wuqu’ Kawoq , Tecpán , Guatemala, Division of Global Health Equity, Brigham and Women’s Hospital , Boston , MA , USA 
Publication title
Volume
18
Issue
1
Number of pages
12
Publication year
2025
Publication date
Dec 2025
Publisher
Taylor & Francis Ltd.
Place of publication
Abingdon
Country of publication
United Kingdom
Publication subject
e-ISSN
16549880
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2025-07-09 (Received); 2025-09-21 (Accepted)
ProQuest document ID
3285898444
Document URL
https://www.proquest.com/scholarly-journals/integrating-indigenous-maya-practices-digital/docview/3285898444/se-2?accountid=208611
Copyright
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-07
Database
ProQuest One Academic