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Record W2924395116 · doi:10.1002/wmh3.295

Access to Essential Medications and Equipment for Obstetric and Neonatal Primary Care in Bombali District, Sierra Leone

2019· article· en· W2924395116 on OpenAlexfundno aff
Manso M. Koroma, Mohamed A.M. Kamara, Namoudou Kéita, Virgil Kuassi Lokossou, Abu James Sundufu, Kathryn H. Jacobsen

Bibliographic record

VenueWorld Medical & Health Policy · 2019
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsSierra leoneMedicineBusinessNeonatal mortalityMedical emergencyEnvironmental healthInfant mortalitySocioeconomicsPopulationEconomics

Abstract

fetched live from OpenAlex

The increased demand for basic emergency obstetric and neonatal care (BEmONC) services in Sierra Leone since the launch of the nationwide free maternity care initiative in 2010 has strained the capacity of the system to provide high‐quality care. In 2014, members of our research team visited all 97 functioning primary health‐care facilities in Bombali district in the Northern Province of Sierra Leone to evaluate gaps in access to BEmONC. Although most facilities had the equipment necessary for maternal and neonatal care, these were often not in satisfactory condition. Most of the facilities did not stock all of the essential medicines for BEmONC, and less than 10 percent of the facilities had sufficient stocks of unexpired and properly stored medications. Stronger supply chains will be necessary to improve health system performance in Sierra Leone, reduce maternal mortality, increase neonatal survival, and achieve targets associated with the Sustainable Development Goals (SDGs).

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.376
Teacher spread0.360 · 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 designObservational
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

Citations3
Published2019
Admission routes1
Has abstractyes

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