Cited by 87Global Health Workforce IssuesNursing Roles and PracticesHealth and Medical Education

Community Health Workers — A Local Solution to a Global Problem

Singh, Prabhjot, Chokshi, Dave A.·2013·New England Journal of Medicine

Abstract

As part of health care reform efforts, scaling up the number of community health workers — lay community members with focused health care training — in the U.S. workforce could improve health outcomes, reduce health care costs, and create jobs.

Integrity signals

Registry

Crossref · 10.1056/nejmp1305636

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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Authors
Singh, P., & Chokshi, D. A.
Affiliations
  • Mount Sinai Hospital (US)
  • United States Department of Veterans Affairs (US)
Venue
New England Journal of Medicine
Published
2013-09-05
Volume
369
Issue
10
Pages
894-896
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W1979275940
Cited by
87
References
4
Citations by year
2026: 3 · 2025: 3 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 8 · 2020: 9 · 2019: 5 · 2018: 11 · 2017: 14 · 2016: 10 · 2015: 7 · 2014: 9 · 2013: 2
FWCI
14.52
Type
journal article
Language
en
Open access
closed
Locations
  • New England Journal of Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Emergency Medical Services › Global Health Workforce Issues
  • Health Sciences › Health Professions › General Health Professions › Nursing Roles and Practices
  • Health Sciences › Health Professions › General Health Professions › Health and Medical Education
Keywords
community health workers, healthcare workforce, health care reform, health outcomes, health care costs, job creation, lay health workers, scale-up
MeSH terms
Community Health Workers, Cost-Benefit Analysis, Health Policy, Humans, United States, Centers for Medicare and Medicaid Services, U.S., Global Health, Models, Organizational

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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