Limitations of administrative databases in spine research: a study in obesity.
BACKGROUND
The use of national inpatient databases for spine surgery research has been increasing. Unfortunately, without firsthand knowledge of each specific database, it can be difficult to judge the validity of such studies. Large databases that rely on administrative data, such as International Classification of Diseases, Ninth Revision (ICD-9) codes, may misrepresent patient information and could thus affect the results of studies that use these data.


OBJECTIVE
The present study uses obesity, an easily quantified and objective variable, as an example comorbidity to assess the accuracy of ICD-9 codes in the setting of their continued use in spine database studies.


METHODS
A cross-sectional study at a large academic medical center.


METHODS
All patients spending at least one night in the hospital as an inpatient between April 1, 2013 and April 16, 2013. Obstetrics and gynecology, psychiatry, and pediatric patients were excluded.


METHODS
Proportion of patients for whom ICD-9 obesity diagnosis codes assigned at hospital discharge match chart-documented body mass index (BMI).


METHODS
The medical record was reviewed for each patient, and obesity ICD-9 codes were directly compared with documented BMI.


RESULTS
The study included 2,075 patients. Of 573 "obese" patients (calculated BMI 30-39.9), only 109 received the correct code (278.00), giving this ICD-9 code a sensitivity of 0.19. Of 174 "morbidly obese" patients (calculated BMI >40), only 84 received the correct code (278.01), giving this ICD-9 code a sensitivity of 0.48.


CONCLUSIONS
Using obesity as an example, this study highlights the potential errors inherent to using ICD-9-coded databases for spine surgery research. Should a study based on such data use "obesity" as a variable in any analyses, the reader should interpret these results with caution. We further suggest that obesity is likely not the only comorbidity to which these results apply. As database research continues to represent an increasing proportion of publications in the field of spine surgery, it is important to realize that study outcomes can be skewed by data accuracy, and, thus, should not be blindly accepted simply by virtue of large sample sizes.
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, PO Box 208071, 800 Howard Ave., New Haven, CT 06519, USA.
Nicholas S
NS
Golinvaux
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, PO Box 208071, 800 Howard Ave., New Haven, CT 06519, USA.
Daniel D
DD
Bohl
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, PO Box 208071, 800 Howard Ave., New Haven, CT 06519, USA.
Bryce A
BA
Basques
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, PO Box 208071, 800 Howard Ave., New Haven, CT 06519, USA.
Michael C
MC
Fu
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, PO Box 208071, 800 Howard Ave., New Haven, CT 06519, USA.
Elizabeth C
EC
Gardner
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, PO Box 208071, 800 Howard Ave., New Haven, CT 06519, USA. Electronic address: jonathan.grauer@yale.edu.
Jonathan N
JN
Grauer
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019992:Databases as Topic / Q000458:organization & administration / Q000592:standards*; D005260:Female; D006801:Humans; D038801:International Classification of Diseases; D008297:Male; D008875:Middle Aged; D009767:Obesity, Morbid / Q000145:classification / Q000453:epidemiology*; D013122:Spinal Diseases / Q000145:classification / Q000453:epidemiology*
Body mass index; Database; ICD-9; Morbid obesity; Obesity; Spine