Increased team familiarity for surgical time savings : Effective primarily in complex surgical cases

Copyright © 2023. Published by Elsevier Ltd..

BACKGROUND: Cohesion between team members is critical for surgical performance. Our previous study has shown that the experience of working together (measured by Team Familiarity Score, TFS) helps reduce procedure time (PT). However, that conclusion was found in a relatively small sample size. With a large dataset including mixed general surgical procedures, we hypothesize that team familiarity makes a significant contribution to the improvement of team performance in complex cases, rather than in medium or basic surgical cases, measured by the procedure time, length of hospital stays (LOS), and surgical cost (COST).

STUDY DESIGN: Patient demographics, operation, and patient outcome data of 922 general surgery cases were included. The cases were divided into three subgroups, including basic, medium, and complex surgical procedures. TFS and an Index of Difficulty of Surgery (IDS) were calculated for each procedure. Simple linear regression and random forest regressions were performed to analyze the association between surgical outcomes and all included independent variables (TFS, IDS, patient age, patient weight, and team size).

RESULTS: When applied to complex cases, procedure time (r = -0.21) and cost (r = -0.23) dropped as TFS increases. In basic and medium surgical cases, increasing team familiarity failed to shorten the procedure time on average.

CONCLUSION: Team familiarity is more important in complex cases because there is greater potential for improvement through team collaboration compared to basic and medium cases. Caution will be needed when applying team familiarity scores for examining surgical team performance in large databases with skewed to basic surgical cases.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:22

Enthalten in:

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland - 22(2024), 2 vom: 01. März, Seite 80-87

Sprache:

Englisch

Beteiligte Personen:

Zhang, Yao [VerfasserIn]
Wu, Yun [VerfasserIn]
Li, Xinming [VerfasserIn]
Turner, Simon R [VerfasserIn]
Zheng, Bin [VerfasserIn]

Links:

Volltext

Themen:

General surgery
Journal Article
Patient safety
Regression analysis
Team familiarity
Team performance

Anmerkungen:

Date Completed 19.03.2024

Date Revised 19.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.surge.2023.10.005

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363722823