MétaCan
Menu
Back to cohort
Record W2065747283 · doi:10.1055/s-0030-1271213

Effect of Fear of Litigation on Obstetric Care: A Nationwide Analysis on Obstetric Practice

2011· article· en· W2065747283 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Perinatology · 2011
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsMedicineObstetricsPregnancyMedical emergency

Abstract

fetched live from OpenAlex

The aim of our study was to investigate the influence of malpractice premiums paid by obstetricians on obstetric care across the United States. We conducted a retrospective cross-sectional population-based study using patient-level data obtained from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample on every woman who delivered in 2006. Mode of delivery was compared with the average state medical liability insurance premium paid by obstetricians (Medical Liability Monitor and the National Association of Insurance Commissioners) using a generalized estimating equation to calculate crude and adjusted odds ratios. Our cohort included 890,266 women who delivered across 37 states in 2006. Average state malpractice premium of over $100,000 was associated with higher incidences of total cesarean deliveries (odds ratio [OR] 1.17, 95% confidence interval [CI]: 1.02, 1.35); lower incidences of vaginal births after cesarean deliveries (OR 0.60, 95% CI: 0.37, 0.98); and lower rates of instrumental deliveries (OR 0.72, 95% CI: 0.63, 0.83) compared with when the average state malpractice premium was less than $50,000. Fear of litigation appears to have a marked effect on obstetric practice, particularly total cesarean delivery, vaginal birth after cesarean, and instrumental delivery, when malpractice premiums rise above $100,000 per annum.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.415
Teacher spread0.386 · 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