Community-Based Interventions to Reduce Child Stunting in Rural Guatemala: A Quality Improvement Model.
community health worker
health disparities
indigenous populations
malnutrition
quality improvement
rural populations
stunting
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
18 01 2021
18 01 2021
Historique:
received:
04
12
2020
revised:
07
01
2021
accepted:
14
01
2021
entrez:
22
1
2021
pubmed:
23
1
2021
medline:
19
3
2021
Statut:
epublish
Résumé
Rural Guatemala has one of the highest rates of chronic child malnutrition (stunting) in the world, with little progress despite considerable efforts to scale up evidence-based nutrition interventions. Recent literature suggests that one factor limiting impact is inadequate supervisory support for frontline workers. Here we describe a community-based quality improvement intervention in a region with a high rate of stunting. The intervention provided audit and feedback support to frontline nutrition workers through electronic worklists, performance dashboards, and one-on-one feedback sessions. We visualized performance indicators and child nutrition outcomes during the improvement intervention using run charts and control charts. In this small community-based sample (125 households at program initiation), over the two-year improvement period, there were marked improvements in the delivery of program components, such as growth monitoring services and micronutrient supplements. The prevalence of child stunting fell from 42.4 to 30.6%, meeting criteria for special cause variation. The mean length/height-for-age Z-score rose from -1.77 to -1.47, also meeting criteria for special cause variation. In conclusion, the addition of structured performance visualization and audit and feedback components to an existing community-based nutrition program improved child health indicators significantly through improving the fidelity of an existing evidence-based nutrition package.
Identifiants
pubmed: 33477580
pii: ijerph18020773
doi: 10.3390/ijerph18020773
pmc: PMC7831302
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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