Time Attributable to Obesity in Surgery: A Multi‐specialty Report on Day‐of‐Surgery Resource Utilization from 189,264 Cases

Burneikis, Dominykas; Morris‐Stiff, Gareth; Chalikonda, Sricharan

doi:10.1007/s00268-018-4599-5

Cited by 11 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, many prior investigations into resource utilization have been specialty- or procedure-specific investigations. 26 , 27 , 28 Our integrated approach highlights how perioperative decision-making can be integrated into a hospital’s ultimate responsibility to public health in a time of critical shortages of resources due to community infectious risks.…”

Section: Discussionmentioning

confidence: 99%

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations

et al. 2020

View full text Add to dashboard Cite

Key Points Question How can clinical departments implement a clinical decision support tool to predict expected resource use to prioritize elective inpatient surgical procedures? Findings In this prognostic study, predictive models for length of stay, intensive care unit length of stay, mechanical ventilator requirement, and discharge disposition to a skilled nursing facility were developed using historical case data abstracted from the electronic health records of 42 199 patients. These models were integrated into an interactive online dashboard with end-user input and iteratively tested. Meaning Predictive modeling, in conjunction with other contextualizing factors, can be used to inform how to recommence elective inpatient procedures after the coronavirus disease 2019 (COVID-19) pandemic.

show abstract

Section: Discussionmentioning

confidence: 99%

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations

et al. 2020

View full text Add to dashboard Cite

show abstract

“…10 Although obesity has been shown to effect surgical time across all common major surgeries, a 2019 study of 469 thyroidectomy patients found no significant difference in operative time between obese (body mass index 30 kg/m 2 ) and nonobese patients. 18,19 Based on this information it is reasonable to conclude that it would be possible for individual surgeons to accurately predict their operative time.…”

Section: Introductionmentioning

confidence: 98%

Accurate Operative Time Prediction in Thyroid Surgery: A Rural Tertiary Care Facility Experience

et al. 2021

View full text Add to dashboard Cite

Objective: To determine whether surgeons can estimate thyroid operative time more accurately than a system-generated average time estimate. Methods: Four otolaryngologists at a single institution with extensive endocrine surgery experience were asked to predict their operative times for all eligible thyroid surgeries. These estimates were compared to system-generated operative time predications based on averaging the surgeon’s previous 10 cases with the same Current Procedural Terminology code. The surgeon-generated estimations and system-generated estimations were then compared to each other and the actual operative time. Results: A final sample of 73 cases was used for all analyses. Average age was 51 years old and the majority of patients were female. Surgeon-generated operative time estimates were significantly more accurate than system-generated estimates based on time averaging ( P < .001). These findings were consistent across each surgeon individually and within each procedure type (hemithyroidectomy and total thyroidectomy). These findings had a power of over 99% based on mean differences. Conclusion: As the financial center of modern hospitals, an efficient operating room is integral to economic success. Improving the precision of operative time estimation reduces costly unplanned staff overtime, canceled cases, and underutilization. Our research at a rural tertiary care center shows that experienced thyroid surgeons can substantially reduce the error of estimating thyroid operative times by considering individual patient characteristics. Although no objective variables have so far been identified to correlate with thyroid operative time, surgeon-generated operative time estimation is significantly more accurate than a generic system approach of averaging previous operative times.

show abstract

Pelvic organ prolapse recurrence after apical prolapse repair: does obesity matter?

et al. 2021

View full text Add to dashboard Cite

Time Attributable to Obesity in Surgery: A Multi‐specialty Report on Day‐of‐Surgery Resource Utilization from 189,264 Cases

Abstract: Our study quantified day-of-surgery resource utilization for 14 major surgical procedures by BMI category. The need for additional resources to accommodate patients in higher BMI groups was consistent across all procedures studied and was primarily reflected by lengthened operative times.

Cited by 11 publications

References 20 publications

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations

Development and Performance of a Clinical Decision Support Tool to Inform Resource Utilization for Elective Operations

Accurate Operative Time Prediction in Thyroid Surgery: A Rural Tertiary Care Facility Experience

Pelvic organ prolapse recurrence after apical prolapse repair: does obesity matter?

Contact Info

Product

Resources

About