Literature DB >> 28802614

Uncommon combinations of ICD10-PCS or ICD-9-CM operative procedure codes account for most inpatient surgery at half of Texas hospitals.

Liam O'Neill1, Franklin Dexter2, Sae-Hwan Park3, Richard H Epstein4.   

Abstract

STUDY
OBJECTIVE: Recently, there has been interest in activity-based cost accounting for inpatient surgical procedures to facilitate "value based" analyses. Research 10-20years ago, performed using data from 3 large teaching hospitals, found that activity-based cost accounting was practical and useful for modeling surgeons and subspecialties, but inaccurate for individual procedures. We hypothesized that these older results would apply to hundreds of hospitals, currently evaluable using administrative databases.
DESIGN: Observational study.
SETTING: State of Texas hospital discharge abstract data for 1st quarter of 2016, 4th quarter of 2015, 1st quarter of 2015, and 4th quarter of 2014. PATIENTS: Discharged from an acute care hospital in Texas with at least 1 major therapeutic ("operative") procedure. MEASUREMENTS: Counts of discharges for each procedure or combination of procedures, classified by ICD-10-PCS or ICD-9-CM. MAIN
RESULTS: At the average hospital, most surgical discharges were for procedures performed at most once a month at the hospital (54%, 95% confidence interval [CI] 51% to 55%). At the average hospital, approximately 90% of procedures were performed at most once a month at the hospital (93%, CI 93% to 94%). The percentages were insensitive to the quarter of the year. The percentages were 3% to 6% greater with ICD-10-PCS than for the superseded ICD 9 CM.
CONCLUSIONS: There are many different procedure codes, and many different combinations of codes, relative to the number of different hospital discharges. Since most procedures at most hospitals are performed no more than once a month, activity-based cost accounting with a sample size sufficient to be useful is impractical for the vast majority of procedures, in contrast to analysis by surgeon and/or subspecialty.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28802614     DOI: 10.1016/j.jclinane.2017.06.002

Source DB:  PubMed          Journal:  J Clin Anesth        ISSN: 0952-8180            Impact factor:   9.452


  2 in total

1.  Visualization of aggregate perioperative data improves anesthesia case planning: A randomized, cross-over trial.

Authors:  Jonathan P Wanderer; Thomas A Lasko; Joseph R Coco; Leslie C Fowler; Matthew D McEvoy; Xiaoke Feng; Matthew S Shotwell; Gen Li; Brian J Gelfand; Laurie L Novak; David A Owens; Daniel V Fabbri
Journal:  J Clin Anesth       Date:  2020-11-01       Impact factor: 9.452

2.  Similarities Between Pediatric and General Hospitals Based on Fundamental Attributes of Surgery Including Cases Per Surgeon Per Workday.

Authors:  Richard H Epstein; Franklin Dexter; Christian Diez; Brenda G Fahy
Journal:  Cureus       Date:  2022-01-30
  2 in total

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