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Record W2920704879 · doi:10.1136/bmjgh-2018-001172

The impact of universal home visits with pregnant women and their spouses on maternal outcomes: a cluster randomised controlled trial in Bauchi State, Nigeria

2019· article· en· W2920704879 on OpenAlexafffund
Anne Cockcroft, Khalid Omer, Yagana Gidado, Muhammad Chadi Baba, Amar Aziz, Umaira Ansari, Adamu Ibrahim Gamawa, Yahaya Yarima, Neil Andersson

Bibliographic record

VenueBMJ Global Health · 2019
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchGlobal Affairs CanadaIllinois Nutrient Research and Education CouncilFaculty of Medicine, McGill UniversityInternational Development Research CentreMcGill University
KeywordsMedicinePregnancyRandomized controlled trialRelative riskCluster randomised controlled trialIntervention (counseling)Cluster (spacecraft)ObstetricsPediatricsNursingConfidence intervalSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Maternal mortality in Nigeria is extremely high. Access to quality antenatal and obstetric care is limited. In Bauchi State, we found maternal morbidity was associated with domestic violence, heavy work in pregnancy, ignorance of danger signs, and lack of spousal communication. This cluster randomized controlled trial tested the impact of universal home visits that discussed these upstream risk factors with pregnant women and their spouses, to precipitate household actions protecting pregnant women. METHODS: We randomly allocated four wards in Toro Local Government Authority to immediate or delayed intervention. Female and male home visitors visited all pregnant women and their spouses in the two intervention wards every 2 months. We compared completed pregnancies between intervention and pre-intervention wards after 1 year. Primary outcomes were pregnancy, delivery, and postnatal complications, analysed with intention to treat using a cluster t-test. Ancillary analysis examined the influence of baseline and health service use differences. RESULTS: Among 1837 women in intervention wards and 1853 women in pre-intervention wards, the intervention reduced problems in pregnancy and post partum: raised blood pressure (relative risk reduction (RRR) 0.120, cluster-adjusted 95% CI (CIca) 0.045 to 0.194; risk difference (RD) 0.116, 95% CIca 0.042 to 0.190) and swelling of face or hands (RRR 0.271, 95% CIca 0.201 to 0.340; RD 0.264, 95% CIca 0.194 to 0.333) and postpartum sepsis (RRR 0.399, 95% CIca 0.220 to 0.577; RD 0.324, 95% CIca 0.155 to 0.493). The intervention reduced the targeted upstream risk factors such as heavy work during pregnancy (RRR 0.234, 95% CIca 0.085 to 0.383; RD 0.222, 95% CIca 0.073 to 0.370). It did not increase use of antenatal care, institutional delivery or skilled birth attendance. CONCLUSION: Home visits reduced upstream maternal risks, improving maternal outcomes without increased use of health services. This could have implications in other settings with poor access to quality antenatal and delivery care services. TRIAL REGISTRATION: ISRCTN82954580.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.007
GPT teacher head0.313
Teacher spread0.306 · 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 designRandomized trial
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

Citations44
Published2019
Admission routes2
Has abstractyes

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