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Record W4200553204 · doi:10.4314/ahs.v21i4.44

Model for Teaching the Helping Babies Survive Course Series and Advanced Life Support in Obstetrics Workshops to Rural Skilled Birth Attendants in Uganda

2021· article· en· W4200553204 on OpenAlexaff
Christina Kinnevey, David Douglas, Ann Larsen, Molly Wilson, S. Sams, Michael Kawooya, Fred Kirumira, Robert J. Douglas

Bibliographic record

VenueAfrican Health Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsImpact
Fundersnot available
KeywordsMedicinePsychological interventionLife course approachObstetricsPostpartum haemorrhagePregnancyPediatricsNursing

Abstract

fetched live from OpenAlex

Uganda, like much of Sub-Saharan Africa and other underserved regions continues to face the challenge of high neonatal and maternal mortality. The Helping Babies Survive (HBS) course and the Advanced Life Support in Obstetrics (ALSO) provide hands on education to train providers in key life-saving interventions. A uterine balloon tamponade (UBT) procedure can be life-saving in the event of uterine bleeding. The purpose of this implementation research is to gain more insight into the effectiveness of a tailored down 5-day combined HBS-ALSO-UBT course. In this study, we found that a tailored down 5-day combined HBS-ALSO-UBT could be performed with significantly improved self-assessment in diagnosing and managing a wide range of peripartum conditions.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.004

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 head0.031
GPT teacher head0.342
Teacher spread0.312 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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