Evidence map›Paper›PMID 33361239›Full record

Trial reportGlobal health, science and practice2020

A Cluster-Randomized Trial to Test Sharing Histories as a Training Method for Community Health Workers in Peru.

Laura C Altobelli, José Cabrejos-Pita, Mary Penny, Stan Becker

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Global health, science and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Laura C AltobelliFuture Generations University, Franklin, WV, USA. laura@future.edu.
José Cabrejos-PitaFuture Generations, Lima, Peru.
Mary PennyNutrition Research Institute, Lima, Peru.
Stan BeckerJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity health workers (CHWs) are increasingly deployed to support mothers' adoption of healthy home practices in low- and middle-income countries. However, little is known regarding how best to train them for the capabilities and cultural competencies needed to support maternal health behavior change. We tested a CHW training method, Sharing Histories (SH), in which CHWs recount their own childbearing and childrearing experiences on which to build new learning.

methodsWe conducted an embedded cluster-randomized trial in rural Peru in 18 matched clusters. Each cluster was a primary health facility catchment area. Government health staff trained female CHWs using SH (experimental clusters) or standard training methods (control clusters). All other training and system-strengthening interventions were equal between study arms. All CHWs conducted home visits with pregnant women and children aged 0-23 months to teach, monitor health practices and danger signs, and refer. The primary outcome was height-for-age (HAZ)<-2 Z-scores (stunting) in children aged 0-23 months. Household surveys were conducted at baseline (606 cases) and 4-year follow-up (606 cases).

resultsMaternal and child characteristics were similar in both study arms at baseline and follow-up. Difference-in-differences analysis showed mean HAZ changes were not significantly different in experimental versus control clusters from baseline to endline (

conclusionCompared with standard training methods, SH may have improved the effectiveness of CHWs as change agents among literate mothers to reduce child stunting. Stunting experienced by the children of illiterate mothers may have involved unaddressed determinants of stunting.

Indexed as

Community Health WorkersMothersChildFemaleHouse CallsHumansInfantPeruPregnancyRural Population

Identifiers

PMID33361239
PMCPMC7784074

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Registered trials

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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.