Related Experiment Videos
Introducing a methodology for estimating duration of surgery in health services research
Donald A Redelmeier1, Deva Thiruchelvam, Nick Daneman
1Department of Medicine, Infectious Disease, and Health Policy Management & Evaluation, University of Toronto, Toronto, Ontario, Canada. dar@ices.on.ca
Objectives:
The duration of surgery is an indicator for the quality, risks, and efficiency of surgical procedures. We introduce a new methodology for assessing the duration of surgery based on anesthesiology billing records, along with reviewing its fundamental logic and limitations.
Study Design And Setting:
The validity of the methodology was assessed through a population-based cohort of patients (n=480,986) undergoing elective operations in 246 Ontario hospitals with 1,084 anesthesiologists between April 1, 1992 and March 31, 2002 (10 years).
Results:
The weaknesses of the methodology relate to missing data, self-serving exaggerations by providers, imprecisions from clinical diversity, upper limits due to accounting regulations, fluctuations from updates over the years, national differences in reimbursement schedules, and the general failings of claims base analyses. The strengths of the methodology are in providing data that match clinical experiences, correspond to chart review, are consistent over time, can detect differences where differences would be anticipated, and might have implications for examining patient outcomes after long surgical times.
Conclusions:
We suggest that an understanding and application of large studies of surgical duration may help scientists explore selected questions concerning postoperative complications.
Related Concept Videos
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Kaplan-Meier Approach
Comparing the Survival Analysis of Two or More Groups
Cancer Survival Analysis
Assumptions of Survival Analysis