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Evaluating the predictive value of osteoarthritis diagnoses in an administrative database
L R Harrold1, R A Yood, S E Andrade
1Meyers Primary Care Institute, Fallon Healthcare System, and the University of Massachusetts Medical School, Worcester 01608, USA.
Objective:
To assess the positive and negative predictive values of osteoarthritis (OA) diagnoses contained in an administrative database.
Methods:
We identified all members (> or =18 years of age) of a Massachusetts health maintenance organization with documentation of at least one health care encounter associated with an OA diagnosis during the period 1994-1996. From this population, we randomly selected 350 subjects. In addition, we randomly selected 250 enrollees (proportionally by the age and sex of the 350 subjects) who did not have a health care encounter associated with an OA diagnosis. Trained nurse reviewers abstracted OA-related clinical, laboratory, and radiologic data from the medical records of both study groups (all but 1 chart was available for review). Pairs of physician reviewers evaluated the abstracted information for both groups of subjects and rated the evidence for the presence of OA according to 3 levels: definite, possible, and unlikely.
Results:
Among the group of patients with an administrative diagnosis of OA, 215 (62%) were rated as having definite OA, 36 (10%) possible OA, and 98 (28%) unlikely OA, according to information contained in the medical record. The positive predictive value of an OA diagnosis was 62%. In those without an administrative OA diagnosis, 44 (18%) were assigned a rating of definite OA. The negative predictive value of the absence of an administrative OA diagnosis was 78%.
Conclusion:
Use of administrative data in epidemiologic and health services research on OA may lead to both case misclassification and under ascertainment.
