Literature DB >> 19026227

Accuracy of ICD-9-CM coding of cervical spine fractures: implications for research using administrative databases.

Matthew L Miller1, Marjorie C Wang.   

Abstract

OBJECTIVE: ICD-9-CM codes are often used for trauma research due to their ready availability in administrative databases. They are also used to classify injury severity in trauma patients. However, errors in coding may limit the use of these codes. Prior studies have found coding accuracy ranging from 20 to 100%, casting doubt on the reliability of studies utilizing these codes. The goal of this study was to determine the accuracy of ICD-9-CM coding for cervical spine fractures.
METHODS: We used ICD-9-CM codes to identify trauma admissions and cervical spine fractures at a Level I trauma center in 2006. Cervical spine CT or CTA reports were reviewed by two independent observers. Data were compared to ICD-9-CM codes to determine accuracy.
RESULTS: Of 1620 trauma admissions, 174 (11%) included a cervical spine fracture defined by ICD-9-CM codes. A cervical spine fracture was the primary diagnosis in 79 admissions and a secondary diagnosis in 63 admissions. Of the 142 cervical spine fractures defined by ICD-9-CM code, there were 133 (94%) cervical fractures by radiology report. Accuracy varied by primary diagnosis (97%) versus secondary diagnosis (89%). By cervical level, there were 230 fractures by CT report. Of these, 7% of ICD-9-CM codes documented a fractured level not noted in the CT report. Conversely, 14% of fractured levels noted by CT report did not have a corresponding ICD-9-CM code. IMPLICATIONS: We found an overall 94% accuracy of ICD-9-CM coding compared to radiology reports. Inaccuracy of coding fracture level ranged from 7 to 14%. Researchers using these codes should refer back to the medical record or perform a sensitivity analysis to improve reliability.

Entities:  

Mesh:

Year:  2008        PMID: 19026227      PMCID: PMC3256774     

Source DB:  PubMed          Journal:  Ann Adv Automot Med        ISSN: 1943-2461


  9 in total

1.  Classifying trauma severity based on hospital discharge diagnoses. Validation of an ICD-9CM to AIS-85 conversion table.

Authors:  E J MacKenzie; D M Steinwachs; B Shankar
Journal:  Med Care       Date:  1989-04       Impact factor: 2.983

2.  Accuracy of mild traumatic brain injury case ascertainment using ICD-9 codes.

Authors:  Jeffrey J Bazarian; Peter Veazie; Sohug Mookerjee; E Brooke Lerner
Journal:  Acad Emerg Med       Date:  2005-12-19       Impact factor: 3.451

Review 3.  Spine update. Administrative databases in spine research.

Authors:  T Faciszewski
Journal:  Spine (Phila Pa 1976)       Date:  1997-06-01       Impact factor: 3.468

4.  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

5.  Measuring diagnoses: ICD code accuracy.

Authors:  Kimberly J O'Malley; Karon F Cook; Matt D Price; Kimberly Raiford Wildes; John F Hurdle; Carol M Ashton
Journal:  Health Serv Res       Date:  2005-10       Impact factor: 3.402

6.  Comparison of the Injury Severity Score and ICD-9 diagnosis codes as predictors of outcome in injury: analysis of 44,032 patients.

Authors:  R Rutledge; D B Hoyt; A B Eastman; M J Sise; T Velky; T Canty; T Wachtel; T M Osler
Journal:  J Trauma       Date:  1997-03

7.  Coding of stroke and stroke risk factors using international classification of diseases, revisions 9 and 10.

Authors:  Rae A Kokotailo; Michael D Hill
Journal:  Stroke       Date:  2005-07-14       Impact factor: 7.914

8.  ICISS: an international classification of disease-9 based injury severity score.

Authors:  T Osler; R Rutledge; J Deis; E Bedrick
Journal:  J Trauma       Date:  1996-09

9.  Injury severity grading in trauma patients: a simplified technique based upon ICD-9 coding.

Authors:  R Rutledge; S Fakhry; C Baker; D Oller
Journal:  J Trauma       Date:  1993-10
  9 in total
  14 in total

1.  Cervical Spine Injury in Burned Trauma Patients: Incidence, Predictors, and Outcomes.

Authors:  Laura A Galganski; Jessica A Cox; David G Greenhalgh; Soman Sen; Kathleen S Romanowski; Tina L Palmieri
Journal:  J Burn Care Res       Date:  2019-04-26       Impact factor: 1.845

2.  Comorbidity and the risk of anastomotic leak in Chinese patients with colorectal cancer undergoing colorectal surgery.

Authors:  Yaohua Tian; Beibei Xu; Guopei Yu; Yan Li; Hui Liu
Journal:  Int J Colorectal Dis       Date:  2017-03-23       Impact factor: 2.571

3.  Patient characteristics associated with in-hospital mortality in children following tracheotomy.

Authors:  Jay G Berry; Robert J Graham; David W Roberson; Lawrence Rhein; Dionne A Graham; Jing Zhou; Jane O'Brien; Heather Putney; Donald A Goldmann
Journal:  Arch Dis Child       Date:  2010-06-03       Impact factor: 3.791

4.  Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses.

Authors:  Risa B Myers; Jorge R Herskovic
Journal:  J Biomed Inform       Date:  2011-10-01       Impact factor: 6.317

5.  The Epidemiology of Emergency Department Trauma Discharges in the United States.

Authors:  Charles J DiMaggio; Jacob B Avraham; David C Lee; Spiros G Frangos; Stephen P Wall
Journal:  Acad Emerg Med       Date:  2017-09-27       Impact factor: 3.451

6.  Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasms.

Authors:  Mohammad A Al-Haddad; Jeff Friedlin; Joe Kesterson; Joshua A Waters; Juan R Aguilar-Saavedra; C Max Schmidt
Journal:  HPB (Oxford)       Date:  2010-12       Impact factor: 3.647

7.  The epidemiology of infectious gastroenteritis related reactive arthritis in U.S. military personnel: a case-control study.

Authors:  Jennifer A Curry; Mark S Riddle; Robert P Gormley; David R Tribble; Chad K Porter
Journal:  BMC Infect Dis       Date:  2010-09-13       Impact factor: 3.090

8.  The epidemiology of Guillain-Barré Syndrome in U.S. military personnel: a case-control study.

Authors:  Laura Nelson; Robert Gormley; Mark S Riddle; David R Tribble; Chad K Porter
Journal:  BMC Res Notes       Date:  2009-08-26

9.  Graph-based signal integration for high-throughput phenotyping.

Authors:  Jorge R Herskovic; Devika Subramanian; Trevor Cohen; Pamela A Bozzo-Silva; Charles F Bearden; Elmer V Bernstam
Journal:  BMC Bioinformatics       Date:  2012-08-24       Impact factor: 3.169

10.  Trauma with Injury Severity Score of 75: Are These Unsurvivable Injuries?

Authors:  Jin Peng; Krista Wheeler; Junxin Shi; Jonathan Ira Groner; Kathryn Jo Haley; Huiyun Xiang
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

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