Evidence map›Paper›PMID 26995356›Full record

ArticleJournal of medical systems2016

Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time.

York Chen, Rodney A Gabriel, Bhavani S Kodali, Richard D Urman

Abstract read
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In one paragraph

Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Article
  8. Anesthesia Care Practice Models in the Veterans Health Administration.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2018
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  9. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

York ChenDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Rodney A GabrielDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Bhavani S KodaliDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Richard D UrmanDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA. rurman@partners.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On time start of the first case of the day is an important operating room (OR) efficiency metric, in which delays can have effects throughout the day. Although previous studies have identified various causes of first case start delays, none have attempted to evaluate the effect anesthesia staffing ratios have on first case start times. We performed a single-center retrospective analysis at an academic teaching hospital. Data was collected and analyzed over a period of 4 years and on more than 8,700 cases. We examined whether staffing ratios of attending only (solo staffing ratio), attending working with 1 resident/certified registered nurse anesthetist (CRNA) (1 to 1), or attending covering 2 residents/CRNAs (1 to 2) had a significant effect on first patient in room time (FPIR) and first case on time start (FCOTS). In addition, we examined whether staffing ratios had an effect on start times in various surgical subspecialties. We performed a univariate logistic regression analysis to determine if age, anesthesia base units, American Society of Anesthesiologists Physical Status (ASA PS) classification score, and staffing ratio was associated with FPIR and FCOTS being on time. Then, we performed a multivariate logistic regression analysis to determine if staffing ratio was associated with these outcomes, utilizing age, anesthesia base units, and ASA PS class as covariates. A decreased odds for FPIR being on time were seen in general and orthopedic surgeries when staffed 1 to 1, and cardiac surgery when staffed 1 to 2, when compared to solo staffing. FCOTS showed statistically significant differences when looking at all services with solo staffing having the highest odds for FCOTS being on time. This effect was seen also when analyzing only oncologic and orthopedic surgeries. Hospitals should consider using different staffing ratios in different surgical specialties to minimize delays and maximize OR efficiency.

Indexed as

Efficiency, OrganizationalAnesthesiologyHospitals, TeachingHumansInternship and ResidencyNurse AnesthetistsOperating RoomsOperative TimePersonnel Staffing and SchedulingPhysiciansRetrospective StudiesAnesthesiaEfficiencyInductionOperating roomStaffing ratio

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.