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Record W2920212658 · doi:10.1186/s12960-019-0347-7

HRH dimensions of community health workers: a case study of rural Afghanistan

2019· article· en· W2920212658 on OpenAlexafffund
Maisam Najafizada, Ronald Labonté, Ivy Lynn Bourgeault

Bibliographic record

VenueHuman Resources for Health · 2019
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of OttawaMemorial University of Newfoundland
FundersInternational Development Research Centre
KeywordsWorkforceCommunity healthPopulationHealth services researchNursingMedicineHealth administrationPopulation healthPublic healthEconomic growthEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: There is ample evidence to indicate that community health workers (CHW) are valuable human resources for health in many countries across the globe, helping to fill the gap created by a chronic health workforce shortage. This shortage is not only in number but also in workforce distribution and skill mix. There remains a lack of evidence, however, concerning the size and distribution of CHWs and their relationship to the professionally regulated and recognized health workforce, such as physicians and nurses, and the unregulated and unrecognized health workforce, such as traditional birth attendants and traditional healers. This is particularly the case in low-income, under-resourced countries, such as Afghanistan. METHOD: We conducted a descriptive qualitative analysis involving fieldwork in Afghanistan between 2013 and 2014. We undertook participant observation and in-depth interviews with community members, CHWs, health managers, and policymakers, in an attempt to add more depth to our knowledge of how CHWs function, or could function better, as a recognized health worker. RESULTS: We found that the number of CHWs has increased dramatically in recent years and that CHWs play a variety of roles, including work generally associated with professional providers, such as referral, education, and counseling. Although not a replacement for professional health providers, CHWs, in places where the number of and access to such providers is low, become the only option to meet basic health needs of the population. In places where professional providers are available, CHWs have the potential to extend the services to marginalized populations, provide community health services, and become a recognized member of the health provider team. A limitation of their role in health system strengthening is their lack of integration and a clear career path including into more recognized professional roles. CONCLUSION: CHWs provide a critical human resources for health role in Afghanistan, but there are opportunities for improved integration with other providers which can increase their potential to improve service delivery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0230.005
Scholarly communication0.0030.002
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.377
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2019
Admission routes2
Has abstractyes

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