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Continuity of Nursing Care and Its Link to Cesarean Birth Rate

2007· article· en· W1988887830 on OpenAlexaffabout
Anita J. Gagnon, Kate Meier, Kathy Waghorn

Bibliographic record

VenueBirth · 2007
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineOdds ratioObstetricsPregnancyGestational ageBirth weightOddsNursingDemographyLogistic regression

Abstract

fetched live from OpenAlex

BACKGROUND: High cesarean birth rates are an international concern. The role of patterns of nursing care responsibility in preventing or contributing to cesarean births has been understudied. Our study sought to identify and describe indicators of continuity of nursing care responsibility during labor and to explore whether any association between these indicators and risk of cesarean birth could be identified empirically using an existing data set. METHODS: We obtained a representative sample of low-risk women giving birth in an intrapartum unit at a university hospital in Quebec, Canada, with approximately 3,700 births per year. To be considered for inclusion, women needed to have been primiparous, carrying singletons in vertex position, and at 37 weeks' gestation or more. All women giving birth over a 13-month period were assessed for eligibility using the hospital's birth log. Data were extracted from the medical records of every second eligible birth, including information related to patterns of nursing care responsibility, maternal and infant characteristics, obstetric procedures, non-health-related risk factors, and type of birth. RESULTS: Data on all variables of interest were available for 467 women. These women were cared for by 1-17 nurses, care responsibility changed hands for them from 1 to 28 times, and the mean length of labor for which the same nurse was responsible for a woman ranged from 10 to 1,045 minutes. After controlling for length of labor, maternal age, maternal height, infant weight, gestational age, induction, type of rupture, and epidural analgesia, the odds ratio for cesarean birth due to number of nurses was 1.17 (95% CI 1.04, 1.32); 1 or more nurses switch per 2 hours (i.e., number of times care responsibilities changed hands), 1.04 (95% CI 0.62, 1.74); and 33 percent or more of the labor attended by the same nurse, 0.74 (95% CI 0.42, 1.30). CONCLUSIONS: An association was observed between number of nurses caring for a laboring woman and risk of cesarean delivery. Estimates of the association of other patterns of nursing care responsibility on cesarean birth were not sufficiently precise to draw conclusions.

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)0.002
metaresearch head score (Gemma)0.029
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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.371
Teacher spread0.332 · 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

Citations32
Published2007
Admission routes2
Has abstractyes

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