ArticleArthritis and rheumatism2000
Evaluating the predictive value of osteoarthritis diagnoses in an administrative database.
Article in Arthritis and rheumatism, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic review.BMC medical informatics and decision making · 2016Pooled it
- Rule-Based Algorithm to Identify Recurrent Non-Hodgkin Lymphoma in Electronic Health Data.JCO clinical cancer informatics · 2026Article
- Identifying cases of chronic pain using health administrative data: A validation study.Canadian journal of pain = Revue canadienne de la douleur · 2020Article
- Validation of canadian health administrative data algorithms for estimating trends in the incidence and prevalence of osteoarthritis.Osteoarthritis and cartilage open · 2020Article
- Risks of solid cancers in elderly persons with osteoarthritis or ankylosing spondylitis.Rheumatology (Oxford, England) · 2020Article
- Identifying monoclonal gammopathy of undetermined significance in electronic health data.Pharmacoepidemiology and drug safety · 2020Article
- The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance.International journal of population data science · 2018Article
- Prevalence and treatment of hip and knee osteoarthritis in people aged 60 years or older in Germany: an analysis based on health insurance claims data.Clinical interventions in aging · 2018Article
- The rate of joint replacement in osteoarthritis depends on the patient's socioeconomic status.Acta orthopaedica · 2016Article
- Alternative Methods for Defining Osteoarthritis and the Impact on Estimating Prevalence in a US Population-Based Survey.Arthritis care & research · 2016Article
- Validation of Administrative Osteoarthritis Diagnosis Using a Clinical and Radiological Population-Based Cohort.International journal of rheumatology · 2016Article
- Validity of gout diagnosis in Swedish primary and secondary care - a validation study.BMC musculoskeletal disorders · 2015Article
- The use of administrative health care databases to identify patients with rheumatoid arthritis.Open access rheumatology : research and reviews · 2015Article
- Knee Disorders Among Carpenters in the St. Louis Area.The open occupational health & safety journal · 2014Article
- Trends in primary total hip arthroplasty in Spain from 2001 to 2008: evaluating changes in demographics, comorbidity, incidence rates, length of stay, costs and mortality.BMC musculoskeletal disorders · 2011Article
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Abstract
objectiveTo assess the positive and negative predictive values of osteoarthritis (OA) diagnoses contained in an administrative database.
methodsWe 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.
resultsAmong 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%.
conclusionUse of administrative data in epidemiologic and health services research on OA may lead to both case misclassification and under ascertainment.
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