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Record W2942547392 · doi:10.4102/phcfm.v11i1.1945

Calling non-governmental organisations to strengthen primary health care: Lessons following Alma-Ata

2019· letter· en· W2942547392 on OpenAlex
Megan Landes, Colin Pfaff, Meseret Zerihun, Dawit Wondimagegn, Sumeet Sodhi, Katherine Rouleau, Michael Kidd

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAfrican Journal of Primary Health Care & Family Medicine · 2019
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDeclarationDeveloping countryEquity (law)MedicineCommitService delivery frameworkEconomic growthGlobal healthPrimary health carePublic relationsNursingHealth carePolitical scienceService (business)BusinessPublic health

Abstract

fetched live from OpenAlex

BACKGROUND: The Alma-Ata Declaration's commitment to primary health care (PHC) reaches its 40th anniversary in 2018. Over the last 40 years, the number of non-governmental organisations (NGOs) working in low-income countries (LICs) has rapidly multiplied, and over time, NGOs have both positively and negatively impacted equity, effectiveness, appropriateness and efficiency of PHC systems in LICs. AIM: The authors aim to demonstrate that at the 40th anniversary of the Alma-Ata Declaration's commitment to PHC, NGOs are particularly poised to strengthen PHC in LICs. METHODS: In this letter, the authors reflect on how NGOs have both positively and negatively impacted equity, effectiveness, appropriateness and efficiency of PHC systems based on their experience working with NGOs in LICs. RESULTS: NGOs are poised to strengthen PHC in LICs in four distinct ways: assisting with local human resources development, strengthening local information systems, enabling community-based health services and testing innovative service delivery projects. CONCLUSIONS: The authors call for NGOs to commit their expertise and resources to long-term strengthening of PHC in LICs and to critically examine the factors that prevent or assist them in this goal. As the principles of Alma-Ata are renewed, NGOs should be responsibly engaged in strengthening the declaration's goal of 'health for all'.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.291
Teacher spread0.239 · 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