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Record W4206260039 · doi:10.1002/ijgo.14056

Health facilities’ capability to provide comprehensive postabortion care in Sub‐Saharan Africa: Evidence from a cross‐sectional survey across 210 high‐volume facilities

2022· article· en· W4206260039 on OpenAlexaff
Rachidatou Compaoré, Hedieh Mehrtash, Clara Calvert, Zahida Qureshi, Folasade Adenike Bello, Adama Baguiya, Ausbert Thoko Msusa, Nafiou Idi, Philip Govule, Özge Tunçalp, Séni Kouanda

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsCentre for Global Health Research
FundersUNICEFWorld Health Organization
KeywordsMedicineCross-sectional studyEnvironmental healthVolume (thermodynamics)Health careEconomic growthPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the capability of high-volume comprehensive emergency obstetric care (CEmOC) health facilities on the provision of comprehensive postabortion care (PAC) in Sub-Saharan Africa and to determine the frequency of women with severe abortion-related complications in high capability facilities. METHODS: A cross-sectional analysis conducted across 11 countries in Sub-Saharan Africa, using facility-level information from the World Health Organization (WHO) Multi-Country Survey on Abortion-related morbidity (MCS-A) between 2017 and 2018. PAC signal functions were adapted to assess facilities' capability to deliver comprehensive PAC through infrastructure, standard comprehensive capability, and extended comprehensive capability to provide PAC. The percentage of facilities with each signal function and distribution of facilities by number of signal functions were calculated for the three capability categories. Distribution of severe abortion complications by facility capability score was assessed. RESULTS: Of 210 high-volume CEmOC facilities included, 47.9% (n = 100) had capability to provide all facility infrastructure signal functions, 54.4% (n = 105) for standard comprehensive PAC, reducing to 17.7% (n = 34) for extended comprehensive PAC capability. Overall, there were gaps in extended capabilities including availability of a functioning ICU (available in 37.3% of facilities) and providers 24/7 (65.5% of facilities reported an obstetrician available 24/7 dropping to 41.3% for anesthesiologists). Facilities' PAC capability varied across regions. Overall, 34.6% (n = 614) of women with severe abortion-related complications were treated in facilities with the maximum capability score for extended comprehensive PAC. CONCLUSION: Although high levels of capability to provide abortion-related care for most signal functions were evident, significant gaps that impact on the management of severe abortion-related complications remain, particularly related to extended facility capabilities including specialized human resources and ICU.

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)0.003
metaresearch head score (Gemma)0.016
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.356
Teacher spread0.302 · 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

Citations20
Published2022
Admission routes1
Has abstractyes

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