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Record W3121881038 · doi:10.1213/ane.0000000000005367

Systematic Review of Intraoperative Anesthesia Handoffs and Handoff Tools

2021· review· en· W3121881038 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnesthesia & Analgesia · 2021
Typereview
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHandoverRetrospective cohort studyPopulationPatient safetyMEDLINEEmergency medicineHealth careSurgery

Abstract

fetched live from OpenAlex

Intraoperative handoffs between anesthesia clinicians are critical for care continuity. However, such handoffs pose a significant threat to patient safety. This systematic review synthesizes the empirical evidence on the (a) effect of intraoperative handoffs on outcomes and (b) effect of intraoperative handoff tools on outcomes. All studies on intraoperative handoffs and handoff tools published until September 2019, in any study setting and population, and with no prespecified criteria on the type of comparison and outcome were included. Data extracted from the included studies were aggregated to identify common patterns related to the type of surgery, clinician(s) involved, patient population, handoff tool, the tool design approach (where relevant), tool implementation strategies, and finally, all reported clinical and process outcomes. Quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). Fourteen studies met the inclusion criteria. All included studies used adult patients. Eight studies were retrospective cohort studies that used administrative or electronic health record (EHR)-based databases to investigate the effects of intraoperative handoffs on morbidity and mortality. These studies included a total of 680,855 surgeries, with 139,426 of these surgeries having at least 1 handoff (20.47%). Seven of the studies found a positive association between intraoperative handoffs and considered outcomes. However, a pooled meta-analysis across these studies was not feasible across the retrospective studies due to differing surgical populations and varying definitions of the considered outcomes. Six studies used a nonrandomized prospective design to evaluate the effects of handoff tools on process-based outcomes such as clinician satisfaction, information transfer, handoff duration, and adherence. Five of the 6 handoff tools were checklist based. All prospective tool-based studies relied on small samples and reported a significant improvement on the considered process-based outcomes. The median quality score among retrospective (median [interquartile range {IQR}] = 9 [1]) was significantly higher than that of prospective (median [IQR] = 5 [1.5]) studies (U = 21, P = .0017). This systematic review provides a unique appraisal of the current state of intraoperative handoff research. To improve the quality and outcomes of handoffs, future efforts should focus on design and implementation of standardized handoff tools integrated within EHR systems, consider the use of similar metrics for evaluating handoff process and clinical outcomes, and improve the execution and reporting of studies using standard protocols and guidelines.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.324
Teacher spread0.295 · 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