Literature DB >> 21720242

Estimating anesthesia time using the medicare claim: a validation study.

Jeffrey H Silber1, Paul R Rosenbaum, Orit Even-Shoshan, Lanyu Mi, Fabienne A Kyle, Yun Teng, Dale W Bratzler, Lee A Fleisher.   

Abstract

INTRODUCTION: Procedure length is a fundamental variable associated with quality of care, though seldom studied on a large scale. The authors sought to estimate procedure length through information obtained in the anesthesia claim submitted to Medicare to validate this method for future studies.
METHODS: The Obesity and Surgical Outcomes Study enlisted 47 hospitals located across New York, Texas, and Illinois to study patients undergoing hip, knee, colon, and thoracotomy procedures. A total of 15,914 charts were abstracted to determine body mass index and initial patient physiology. Included in this abstraction were induction, cut, close, and recovery room times. This chart information was merged to Medicare claims that included anesthesia Part B billing information. Correlations between chart times and claim times were analyzed, models developed, and median absolute differences in minutes calculated.
RESULTS: Of the 15,914 eligible patients, there were 14,369 for whom both chart and claim times were available for analysis. For these 14,369, the Spearman correlation between chart and claim time was 0.94 (95% CI 0.94, 0.95), and the median absolute difference between chart and claim time was only 5 min (95% CI: 5.0, 5.5). The anesthesia claim can also be used to estimate surgical procedure length, with only a modest increase in error.
CONCLUSION: The anesthesia bill found in Medicare claims provides an excellent source of information for studying surgery time on a vast scale throughout the United States. However, errors in both chart abstraction and anesthesia claims can occur. Care must be taken in the handling of outliers in these data.

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Year:  2011        PMID: 21720242      PMCID: PMC3273329          DOI: 10.1097/ALN.0b013e31821d6c81

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  38 in total

1.  Influence of operation duration on perioperative morbidity in revision total hip arthroplasty.

Authors:  Stefan Kessler; Stefan Kinkel; Wolfram Käfer; Wolfhart Puhl; Thomas Schochat
Journal:  Acta Orthop Belg       Date:  2003-08       Impact factor: 0.500

2.  Influence of the type of anesthesia provider on costs of labor analgesia to the Texas Medicaid program.

Authors:  Amr E Abouleish; Donald S Prough; Rakesh B Vadhera
Journal:  Anesthesiology       Date:  2004-10       Impact factor: 7.892

3.  Identifying risk factors for potentially avoidable complications following radical cystectomy.

Authors:  Brent K Hollenbeck; David C Miller; David Taub; Rodney L Dunn; Shukri F Khuri; William G Henderson; James E Montie; Willie Underwood; John T Wei
Journal:  J Urol       Date:  2005-10       Impact factor: 7.450

4.  Deliberate perioperative systems design improves operating room throughput.

Authors:  Warren S Sandberg; Bethany Daily; Marie Egan; James E Stahl; Julian M Goldman; Richard A Wiklund; David Rattner
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

5.  Use of anesthesia induction rooms can increase the number of urgent orthopedic cases completed within 7 hours.

Authors:  Paulus M Torkki; Riitta A Marjamaa; Markus I Torkki; Pentti E Kallio; Olli A Kirvelä
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

6.  Increasing operating room throughput: just buzzwords for this decade?

Authors:  Amr E Abouleish
Journal:  Anesthesiology       Date:  2008-07       Impact factor: 7.892

7.  Prosthetic joint infection risk after TKA in the Medicare population.

Authors:  Steven M Kurtz; Kevin L Ong; Edward Lau; Kevin J Bozic; Daniel Berry; Javad Parvizi
Journal:  Clin Orthop Relat Res       Date:  2009-08-08       Impact factor: 4.176

8.  A strategy to decide whether to move the last case of the day in an operating room to another empty operating room to decrease overtime labor costs.

Authors:  F Dexter
Journal:  Anesth Analg       Date:  2000-10       Impact factor: 5.108

9.  High-throughput operating room system for joint arthroplasties durably outperforms routine processes.

Authors:  Michael P Smith; Warren S Sandberg; Joseph Foss; Kathleen Massoli; Mona Kanda; Wael Barsoum; Armin Schubert
Journal:  Anesthesiology       Date:  2008-07       Impact factor: 7.892

10.  Surgical site infection risk factors identified by multivariate analysis for patient undergoing laparoscopic, open colon, and gastric surgery.

Authors:  Eiko Imai; Masakazu Ueda; Kent Kanao; Tetsuro Kubota; Hirotoshi Hasegawa; Kazuyuki Omae; Masaki Kitajima
Journal:  Am J Infect Control       Date:  2008-10-03       Impact factor: 2.918

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  12 in total

1.  Obesity and readmission in elderly surgical patients.

Authors:  Caroline E Reinke; Rachel R Kelz; Jose R Zubizarreta; Lanyu Mi; Philip Saynisch; Fabienne A Kyle; Orit Even-Shoshan; Lee A Fleisher; Jeffrey H Silber
Journal:  Surgery       Date:  2012-09       Impact factor: 3.982

2.  Indirect Standardization Matching: Assessing Specific Advantage and Risk Synergy.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Alexander S Hill; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2016-02-29       Impact factor: 3.402

3.  Estimating Surgical Procedure Times Using Anesthesia Billing Data and Operating Room Records.

Authors:  Lane F Burgette; Andrew W Mulcahy; Ateev Mehrotra; Teague Ruder; Barbara O Wynn
Journal:  Health Serv Res       Date:  2016-03-08       Impact factor: 3.402

4.  Template matching for auditing hospital cost and quality.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Nabanita Mukherjee; Philip A Saynisch; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2014-03-03       Impact factor: 3.402

5.  Racial disparities in operative procedure time: the influence of obesity.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Orit Even-Shoshan; Rachel R Kelz; Mark D Neuman; Caroline E Reinke; Justin M Ludwig; Fabienne A Kyle; Dale W Bratzler; Lee A Fleisher
Journal:  Anesthesiology       Date:  2013-07       Impact factor: 7.892

6.  Acute kidney injury, renal function, and the elderly obese surgical patient: a matched case-control study.

Authors:  Rachel R Kelz; Caroline E Reinke; José R Zubizarreta; Min Wang; Philip Saynisch; Orit Even-Shoshan; Peter P Reese; Lee A Fleisher; Jeffrey H Silber
Journal:  Ann Surg       Date:  2013-08       Impact factor: 12.969

7.  Examining Causes of Racial Disparities in General Surgical Mortality: Hospital Quality Versus Patient Risk.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Rachel R Kelz; Darrell J Gaskin; Justin M Ludwig; Richard N Ross; Bijan A Niknam; Alex Hill; Min Wang; Orit Even-Shoshan; Lee A Fleisher
Journal:  Med Care       Date:  2015-07       Impact factor: 2.983

8.  A hospital-specific template for benchmarking its cost and quality.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Philip A Saynisch; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2014-09-08       Impact factor: 3.402

9.  Medical and financial risks associated with surgery in the elderly obese.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Rachel R Kelz; Caroline E Reinke; Mark D Neuman; Richard N Ross; Orit Even-Shoshan; Guy David; Philip A Saynisch; Fabienne A Kyle; Dale W Bratzler; Lee A Fleisher
Journal:  Ann Surg       Date:  2012-07       Impact factor: 12.969

10.  Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia.

Authors:  José R Zubizarreta; Mark Neuman; Jeffrey H Silber; Paul R Rosenbaum
Journal:  J Am Stat Assoc       Date:  2012       Impact factor: 5.033

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