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Record W4229075505 · doi:10.1097/aln.0000000000004263

Expert Consensus Regarding Core Outcomes for Enhanced Recovery after Cesarean Delivery Studies: A Delphi Study

2022· article· en· W4229075505 on OpenAlexafffund
Pervez Sultan, Ronald B. George, Carolyn F. Weiniger, Kariem El‐Boghdadly, Perman Pandal, Brendan Carvalho

Bibliographic record

VenueAnesthesiology · 2022
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsOttawa Public Health
FundersNIH Clinical CenterCumming School of Medicine, University of CalgarySheffield Teaching Hospitals NHS Foundation TrustOxford University Hospitals NHS Foundation TrustUniversity of WashingtonImperial College LondonUniversity of PittsburghStanford Maternal and Child Health Research InstituteCedars-Sinai Medical CenterUniversity of Arkansas for Medical SciencesSchool of Medicine, Duke UniversityIrving Medical Center, Columbia UniversitySchool of Medicine, Stanford UniversityUniversity of OxfordKaiser Permanente
KeywordsMedicineDelphi methodOutcome (game theory)BreastfeedingPatient satisfactionDelphiProtocol (science)NursingPediatricsAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Heterogeneity among reported outcomes from enhanced recovery after cesarean delivery impact studies is high. This study aimed to develop a standardized enhanced recovery core outcome set for use in future enhanced recovery after cesarean delivery studies. METHODS: An international consensus study involving physicians, patients, and a director of midwifery and nursing services was conducted using a three-round modified Delphi approach (two rounds of electronic questionnaires and a third-round e-discussion) to produce the core outcome set. An initial list of outcomes was based on a previously published systematic review. Consensus was obtained for the final core outcome set, including definitions for key terms and preferred units of measurement. Strong consensus was defined as 70% or greater agreement and weak consensus as 50 to 69% agreement. Of the 64 stakeholders who were approached, 32 agreed to participate. All 32, 31, and 26 stakeholders completed Rounds 1, 2 and 3, respectively. RESULTS: The number of outcomes in the final core outcome set was reduced from 98 to 15. Strong consensus (70% or greater stakeholder agreement) was achieved for 15 outcomes. The core outcome set included length of hospital stay; compliance with enhanced recovery protocol; maternal morbidity (hospital re-admissions or unplanned consultations); provision of optimal analgesia (maternal satisfaction, compliance with analgesia, opioid consumption or requirement and incidence of nausea or vomiting); fasting times; breastfeeding success; and times to mobilization and urinary catheter removal. The Obstetric Quality of Recovery-10 item composite measure was also included in the final core outcome set. Areas identified as requiring further research included readiness for discharge and analysis of cost savings. CONCLUSIONS: Results from an international consensus to develop a core outcome set for enhanced recovery after cesarean delivery are presented. These are outcomes that could be considered when designing future enhanced recovery studies.

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)0.557
metaresearch head score (Gemma)0.506
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5570.506
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0120.006
Science and technology studies0.0040.004
Scholarly communication0.0060.007
Open science0.0040.023
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.066
GPT teacher head0.337
Teacher spread0.272 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
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

Citations52
Published2022
Admission routes2
Has abstractyes

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