Evidence map›Paper›PMID 32256139›Full record

ArticleAdvances in medical education and practice2020

Expanding Medical Education for Local Health Promoters Among Remote Communities of the Peruvian Amazon: An Exploratory Study of an Innovative Program Model.

Daniel Ebbs, Julian H Hirschbaum, Amanda Mika, Starr C Matsushita, Joy H Lewis

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Daniel EbbsResident Physician Valley Children's Hospital, Madera, CA, USA.
Julian H HirschbaumResident Physician Los Angeles County USC Medical Center, Los Angeles, CA, USA.ORCID 0000-0001-7367-9550
Amanda MikaResident Physician Saint Joseph Hospital, Denver, CO, USA.
Starr C MatsushitaResident Physician Samaritan Health Services, Corvalis, OR, USA.
Joy H LewisStill University, Mesa, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCommunity health workers (CHWs) play integral roles in primary health care provision in low- and middle-income countries (LMICs). This is particularly true in underdeveloped areas where there are acute shortages of health workers. In this study, we evaluated the development and community utilization of a CHW training program in the Loreto province of Peru. Additionally, a community-oriented training model was designed to augment access to basic health information in underserved and isolated areas of the Amazon.

methodsHealth resource utilization was compared in each community by surveying community members before and after implementation of the CHW training program, which utilized a community participatory program development (CPPD) model.

resultsAll communities demonstrated significantly increased CHW utilization (p = 0.026) as their initial point of contact for immediate health concerns following CHW training implementation. This increase in CHW utilization was accompanied by trends toward decreased preferences for local shamans or traveling to the closest health post as the initial health resource.

conclusionThe community-focused, technology-oriented model utilized in this study proved an effective way to promote the use of CHWs in the Amazon region of Loreto, and could prove valuable to CHW capacitation efforts within other Peruvian provinces and in other LMICs around the world.

Indexed as

community health workerexpanding access to healthcarehuman resources for healthmobile health technologypromotoresrural health

Identifiers

PMID32256139
PMCPMC7090155

What OpenQuestion holds

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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.