Literature DB >> 20975624

Strengths and limitations of International Classification of Disease Ninth Revision Clinical Modification codes in defining cervical spine surgery.

Marjorie C Wang1, Purusottom W Laud, Melissa Macias, Ann B Nattinger.   

Abstract

STUDY
DESIGN: Retrospective study.
OBJECTIVE: To evaluate the sensitivity and specificity of International Classification of Disease Ninth Revision Clinical Modification (ICD9-CM) hospital discharge codes to define degenerative cervical spine surgery in comparison to patient operative notes in the medical record. SUMMARY OF BACKGROUND DATA: Population-based studies of spine surgery have often relied on administrative databases as a primary information source, but little is known about the validity of using ICD9-CM codes to identify these operations.
METHODS: We performed a retrospective study comparing ICD9-CM billing codes to patient operative notes, the gold standard, for patients undergoing spine surgery in 2006 at a single academic center.
RESULTS: We identified 1090 procedures of which 265 were categorized as cervical spine surgery for degenerative indications based on the operative notes. Compared to operative notes, our ICD9-CM algorithm had high sensitivity and specificity for selecting surgery at the cervical spine level and cervical spine surgery for degenerative indications. Categorization of cases by procedure had high sensitivity and specificity for fusion and surgical approach (>95%). Categorization of cases by primary diagnosis was generally less accurate. Cervical spondylosis with myelopathy was the most sensitive primary diagnosis. Categorization of cases by procedure had high sensitivity and specificity for fusion and surgical approach (≥96%). However, diagnoses such as herniated disc and procedures such as laminectomy had low sensitivity but high specificity.
CONCLUSION: The use of our ICD9-CM algorithm to define spine surgery at the cervical spine level, and degenerative cervical spine surgery is highly accurate. Although specific diagnoses codes are mostly insensitive, an ICD9-CM algorithm can be used to study these procedures with reasonable precision.

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Year:  2011        PMID: 20975624     DOI: 10.1097/BRS.0b013e3181d273f6

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


  7 in total

1.  Validation of an International Classification of Diseases, Ninth Revision Code Algorithm for Identifying Chiari Malformation Type 1 Surgery in Adults.

Authors:  Jacob K Greenberg; Travis R Ladner; Margaret A Olsen; Chevis N Shannon; Jingxia Liu; Chester K Yarbrough; Jay F Piccirillo; John C Wellons; Matthew D Smyth; Tae Sung Park; David D Limbrick
Journal:  Neurosurgery       Date:  2015-08       Impact factor: 4.654

Review 2.  Identifying neck and back pain in administrative data: defining the right cohort.

Authors:  Patricia L Sinnott; Andrew M Siroka; Andrea C Shane; Jodie A Trafton; Todd H Wagner
Journal:  Spine (Phila Pa 1976)       Date:  2012-05-01       Impact factor: 3.468

3.  Values and pitfalls of the use of administrative databases for outcomes assessment.

Authors:  Emilie K Johnson; Caleb P Nelson
Journal:  J Urol       Date:  2013-04-20       Impact factor: 7.450

4.  Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm.

Authors:  Travis R Ladner; Jacob K Greenberg; Nicole Guerrero; Margaret A Olsen; Chevis N Shannon; Chester K Yarbrough; Jay F Piccirillo; Richard C E Anderson; Neil A Feldstein; John C Wellons; Matthew D Smyth; Tae Sung Park; David D Limbrick
Journal:  J Neurosurg Pediatr       Date:  2016-01-22       Impact factor: 2.375

Review 5.  Secondary data analysis of large data sets in urology: successes and errors to avoid.

Authors:  Bruce J Schlomer; Hillary L Copp
Journal:  J Urol       Date:  2013-10-17       Impact factor: 7.450

6.  Bayesian estimation of the accuracy of ICD-9-CM- and CPT-4-based algorithms to identify cholecystectomy procedures in administrative data without a reference standard.

Authors:  S Reza Jafarzadeh; David K Warren; Katelin B Nickel; Anna E Wallace; Victoria J Fraser; Margaret A Olsen
Journal:  Pharmacoepidemiol Drug Saf       Date:  2015-09-09       Impact factor: 2.890

7.  Use of the i2b2 research query tool to conduct a matched case-control clinical research study: advantages, disadvantages and methodological considerations.

Authors:  Emilie K Johnson; Sarabeth Broder-Fingert; Pornthep Tanpowpong; Jonathan Bickel; Jenifer R Lightdale; Caleb P Nelson
Journal:  BMC Med Res Methodol       Date:  2014-01-30       Impact factor: 4.615

  7 in total

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