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Familiarity of surgical teams: Impact on laparoscopic procedure time
by
Zheng, Bin
, Zhang, Yao
in
Age
/ Collaboration
/ Correlation analysis
/ Data analysis
/ Dependent variables
/ Familiarity
/ Gender
/ Independent variables
/ Laparoscopic surgery
/ Laparoscopy
/ Liability insurance
/ Medical personnel
/ Nurses
/ Patient safety
/ Regression
/ Regression analysis
/ Software
/ Standard deviation
/ Surgery
/ Surgical team
/ Team familiarity
/ Team performance
/ Team size
/ Teams
2022
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Familiarity of surgical teams: Impact on laparoscopic procedure time
by
Zheng, Bin
, Zhang, Yao
in
Age
/ Collaboration
/ Correlation analysis
/ Data analysis
/ Dependent variables
/ Familiarity
/ Gender
/ Independent variables
/ Laparoscopic surgery
/ Laparoscopy
/ Liability insurance
/ Medical personnel
/ Nurses
/ Patient safety
/ Regression
/ Regression analysis
/ Software
/ Standard deviation
/ Surgery
/ Surgical team
/ Team familiarity
/ Team performance
/ Team size
/ Teams
2022
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Do you wish to request the book?
Familiarity of surgical teams: Impact on laparoscopic procedure time
by
Zheng, Bin
, Zhang, Yao
in
Age
/ Collaboration
/ Correlation analysis
/ Data analysis
/ Dependent variables
/ Familiarity
/ Gender
/ Independent variables
/ Laparoscopic surgery
/ Laparoscopy
/ Liability insurance
/ Medical personnel
/ Nurses
/ Patient safety
/ Regression
/ Regression analysis
/ Software
/ Standard deviation
/ Surgery
/ Surgical team
/ Team familiarity
/ Team performance
/ Team size
/ Teams
2022
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Familiarity of surgical teams: Impact on laparoscopic procedure time
Journal Article
Familiarity of surgical teams: Impact on laparoscopic procedure time
2022
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Overview
Surgical performance is a team effort. We examine whether the familiarity among laparoscopic team members will influence the procedure time (PT).
A team familiarity score (TFS) and an Index of difficulty of surgery (IDS) was calculated for each of the 360 laparoscopic procedures. Simple linear, multiple linear regressions, and random forest regressions were used for data analyses.
Simple linear regression shows for every 1% increase in TFS, PT decreases by about 0.24% (p < 0.001); 7% of PT variability can be explained by TFS alone. Multiple linear regression reported that 49% of PT variability can be explained when considering IDS, team size, and TFS as influencing factors. Random forest regression reported that 52% of PT variability can be explained by taking TFS, Team Size, Patient Age, and IDS into the model.
Team familiarity makes a small but significant contribution to the enhancing of surgical team performance in laparoscopic procedure.
•Familiarity among team members can be calculated by their past team experience.•Correlation between familiarity score and laparoscopic procedure time is reported.•With every 1% increase in team familiarity score, procedure time decreases by about 0.24%.•Familiarity makes a small but significant contribution to surgical team performance.
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