Literature DB >> 24525995

Indications for spine surgery: validation of an administrative coding algorithm to classify degenerative diagnoses.

Brook I Martin1, Jon D Lurie, Anna N A Tosteson, Richard A Deyo, Tor D Tosteson, James N Weinstein, Sohail K Mirza.   

Abstract

STUDY
DESIGN: Retrospective analysis of Medicare claims linked to a multicenter clinical trial.
OBJECTIVE: The Spine Patient Outcomes Research Trial (SPORT) provided a unique opportunity to examine the validity of a claims-based algorithm for grouping patients by surgical indication. SPORT enrolled patients for lumbar disc herniation, spinal stenosis, and degenerative spondylolisthesis. We compared the surgical indication derived from Medicare claims with that provided by SPORT surgeons, the "gold standard." SUMMARY OF BACKGROUND DATA: Administrative data are frequently used to report procedure rates, surgical safety outcomes, and costs in the management of spinal surgery. However, the accuracy of using diagnosis codes to classify patients by surgical indication has not been examined.
METHODS: Medicare claims were link to beneficiaries enrolled in SPORT. The sensitivity and specificity of 3 claims-based approaches to group patients on the basis of surgical indications were examined: (1) using the first listed diagnosis; (2) using all diagnoses independently; and (3) using a diagnosis hierarchy on the basis of the support for fusion surgery.
RESULTS: Medicare claims were obtained from 376 SPORT participants, including 21 with disc herniation, 183 with spinal stenosis, and 172 with degenerative spondylolisthesis. The hierarchical coding algorithm was the most accurate approach for classifying patients by surgical indication, with sensitivities of 76.2%, 88.1%, and 84.3% for disc herniation, spinal stenosis, and degenerative spondylolisthesis cohorts, respectively. The specificity was 98.3% for disc herniation, 83.2% for spinal stenosis, and 90.7% for degenerative spondylolisthesis. Misclassifications were primarily due to codes attributing more complex pathology to the case.
CONCLUSION: Standardized approaches for using claims data to group patients accurately by surgical indications have widespread interest. We found that a hierarchical coding approach correctly classified more than 90% of spine patients into their respective SPORT cohorts. Therefore, claims data seem to be a reasonably valid approach to classifying patients by surgical indication. LEVEL OF EVIDENCE: 3.

Entities:  

Mesh:

Year:  2014        PMID: 24525995      PMCID: PMC4018409          DOI: 10.1097/BRS.0000000000000275

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  16 in total

Review 1.  Diagnostic evaluation of LBP: reaching a specific diagnosis is often impossible.

Authors:  Richard A Deyo
Journal:  Arch Intern Med       Date:  2002-07-08

2.  Can administrative data be used to compare postoperative complication rates across hospitals?

Authors:  Patrick S Romano; Benjamin K Chan; Michael E Schembri; Julie A Rainwater
Journal:  Med Care       Date:  2002-10       Impact factor: 2.983

3.  Use of the International Classification of Diseases (ICD-9-CM) to identify hospitalizations for mechanical low back problems in administrative databases.

Authors:  D C Cherkin; R A Deyo; E Volinn; J D Loeser
Journal:  Spine (Phila Pa 1976)       Date:  1992-07       Impact factor: 3.468

4.  Surgical vs nonoperative treatment for lumbar disk herniation: the Spine Patient Outcomes Research Trial (SPORT): a randomized trial.

Authors:  James N Weinstein; Tor D Tosteson; Jon D Lurie; Anna N A Tosteson; Brett Hanscom; Jonathan S Skinner; William A Abdu; Alan S Hilibrand; Scott D Boden; Richard A Deyo
Journal:  JAMA       Date:  2006-11-22       Impact factor: 56.272

5.  United States trends in lumbar fusion surgery for degenerative conditions.

Authors:  Richard A Deyo; Darryl T Gray; William Kreuter; Sohail Mirza; Brook I Martin
Journal:  Spine (Phila Pa 1976)       Date:  2005-06-15       Impact factor: 3.468

6.  Surgical versus nonsurgical therapy for lumbar spinal stenosis.

Authors:  James N Weinstein; Tor D Tosteson; Jon D Lurie; Anna N A Tosteson; Emily Blood; Brett Hanscom; Harry Herkowitz; Frank Cammisa; Todd Albert; Scott D Boden; Alan Hilibrand; Harley Goldberg; Sigurd Berven; Howard An
Journal:  N Engl J Med       Date:  2008-02-21       Impact factor: 91.245

7.  Quality of data regarding diagnoses of spinal disorders in administrative databases. A multicenter study.

Authors:  T Faciszewski; S K Broste; D Fardon
Journal:  J Bone Joint Surg Am       Date:  1997-10       Impact factor: 5.284

8.  Procedural coding of spinal surgeries (CPT-4 versus ICD-9-CM) and decisions regarding standards: a multicenter study.

Authors:  Tom Faciszewski; Ron Jensen; Richard L Berg
Journal:  Spine (Phila Pa 1976)       Date:  2003-03-01       Impact factor: 3.468

9.  Expenditures and health status among adults with back and neck problems.

Authors:  Brook I Martin; Richard A Deyo; Sohail K Mirza; Judith A Turner; Bryan A Comstock; William Hollingworth; Sean D Sullivan
Journal:  JAMA       Date:  2008-02-13       Impact factor: 56.272

10.  Surgical compared with nonoperative treatment for lumbar degenerative spondylolisthesis. four-year results in the Spine Patient Outcomes Research Trial (SPORT) randomized and observational cohorts.

Authors:  James N Weinstein; Jon D Lurie; Tor D Tosteson; Wenyan Zhao; Emily A Blood; Anna N A Tosteson; Nancy Birkmeyer; Harry Herkowitz; Michael Longley; Lawrence Lenke; Sanford Emery; Serena S Hu
Journal:  J Bone Joint Surg Am       Date:  2009-06       Impact factor: 5.284

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  15 in total

1.  Factors associated with lumbar fusion surgery: a case-control study.

Authors:  Anna Ialynytchev; Alan M Sear; Arthur R Williams; Barbara Langland-Orban; Nanhua Zhang
Journal:  Eur Spine J       Date:  2016-05-06       Impact factor: 3.134

2.  A Heterologous Fibrin Glue Enhances the Closure Effect of Surgical Suture on the Repair of Annulus Fibrous Defect in a Sheep Model.

Authors:  Zhi-Cai Du; Li-Xin Zhu
Journal:  Curr Med Sci       Date:  2019-07-25

3.  Use of bone morphogenetic protein among patients undergoing fusion for degenerative diagnoses in the United States, 2002 to 2012.

Authors:  Brook I Martin; Jon D Lurie; Anna N A Tosteson; Richard A Deyo; Farrokh R Farrokhi; Sohail K Mirza
Journal:  Spine J       Date:  2014-12-15       Impact factor: 4.166

4.  A Qualitative Descriptive Study of Patient Experiences of Pain Before and After Spine Surgery.

Authors:  Michelle Accardi-Ravid; Linda Eaton; Alexa Meins; Daniel Godfrey; Debra Gordon; Ivan Lesnik; Ardith Doorenbos
Journal:  Pain Med       Date:  2020-03-01       Impact factor: 3.750

5.  Associations among pain, disability and psychosocial factors and the predictive value of expectations on returning to work in patients who undergo lumbar disc surgery.

Authors:  Ann-Christin Johansson; John Öhrvik; Anne Söderlund
Journal:  Eur Spine J       Date:  2015-02-26       Impact factor: 3.134

6.  Nutritional and Physical Prehabilitation in Elective Orthopedic Surgery: Rationale and Proposal for Implementation.

Authors:  Matteo Briguglio; Thomas W Wainwright
Journal:  Ther Clin Risk Manag       Date:  2022-01-06       Impact factor: 2.423

7.  What Factors Predict Failure of Nonsurgical Management of a Lumbar Surgical Site Infection?

Authors:  Christopher J Lucasti; Myles Dworkin; Kris E Radcliff; Kristen Nicholson; Christopher J Lucasti; Barrett I Woods
Journal:  Int J Spine Surg       Date:  2019-06-30

8.  Validation of Using Claims Data to Measure Safety of Lumbar Fusion Surgery.

Authors:  Neel K Patel; Rachel A Moses; Brook I Martin; Jon D Lurie; Sohail K Mirza
Journal:  Spine (Phila Pa 1976)       Date:  2017-05-01       Impact factor: 3.241

9.  Effects of a Commercial Insurance Policy Restriction on Lumbar Fusion in North Carolina and the Implications for National Adoption.

Authors:  Brook I Martin; Richard A Deyo; Jon D Lurie; Timothy S Carey; Anna N A Tosteson; Sohail K Mirza
Journal:  Spine (Phila Pa 1976)       Date:  2016-06       Impact factor: 3.241

10.  Early Effects of Medicare's Bundled Payment for Care Improvement Program for Lumbar Fusion.

Authors:  Brook I Martin; Jon D Lurie; Farrokh R Farrokhi; Kevin J McGuire; Sohail K Mirza
Journal:  Spine (Phila Pa 1976)       Date:  2018-05-15       Impact factor: 3.241

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