Evidence map›Paper›PMID 33477580›Full record

ArticleInternational journal of environmental research and public health2021

Community-Based Interventions to Reduce Child Stunting in Rural Guatemala: A Quality Improvement Model.

Michel Juarez, Carlos Dionicio, Neftali Sacuj, Waleska Lopez, Ann C Miller, Peter Rohloff

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Michel JuarezCenter for Research in Indigenous Health, Wuqu' Kawoq|Maya Health Alliance 2a Avenida 3-48 Zona 3, Barrio Patacabaj, Tecpán, Chimaltenango 04006, Guatemala.
Carlos DionicioCenter for Research in Indigenous Health, Wuqu' Kawoq|Maya Health Alliance 2a Avenida 3-48 Zona 3, Barrio Patacabaj, Tecpán, Chimaltenango 04006, Guatemala.ORCID 0000-0002-6069-7669
Neftali SacujCenter for Research in Indigenous Health, Wuqu' Kawoq|Maya Health Alliance 2a Avenida 3-48 Zona 3, Barrio Patacabaj, Tecpán, Chimaltenango 04006, Guatemala.ORCID 0000-0001-9838-9293
Waleska LopezCenter for Research in Indigenous Health, Wuqu' Kawoq|Maya Health Alliance 2a Avenida 3-48 Zona 3, Barrio Patacabaj, Tecpán, Chimaltenango 04006, Guatemala.
Ann C MillerDepartment of Global Health and Social Medicine, Harvard Medical School, 641 Huntington Ave, Boston, MA 02115, USA.
Peter RohloffCenter for Research in Indigenous Health, Wuqu' Kawoq|Maya Health Alliance 2a Avenida 3-48 Zona 3, Barrio Patacabaj, Tecpán, Chimaltenango 04006, Guatemala.ORCID 0000-0001-7274-8315
Brigham and Women's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Child Nutrition DisordersQuality ImprovementChildGrowth DisordersGuatemalaHumansInfantRural Populationcommunity health workerhealth disparitiesindigenous populationsmalnutritionquality improvementrural populationsstunting

Identifiers

PMID33477580
PMCPMC7831302
OpenAlexW3122097455

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.