Literature DB >> 12873645

Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipients.

Elena Losina1, Jane Barrett, John A Baron, Jeffrey N Katz.   

Abstract

This analysis was performed to examine whether Medicare claims accurately document underlying rheumatologic diagnoses in total hip replacement (THR) recipients. We obtained data on rheumatologic diagnoses including rheumatoid arthritis (RA), avascular necrosis (AVN), and osteoarthritis (OA) from medical records and from Medicare claims data. To examine the accuracy of claims data we calculated sensitivity and positive predictive value using medical records data as the "gold standard" and assessed bias due to misclassification of claims-based diagnoses. The sensitivities of claims-based diagnoses of RA, AVN, and OA were 0.65, 0.54, and 0.96, respectively; the positive predictive values were all in the 0.86-0.89 range. The sensitivities of RA and AVN varied substantially across hospital volume strata, but in different directions for the two diagnoses. We conclude that inaccuracies in claims coding of diagnoses are frequent, and are potential sources of bias. More studies are needed to examine the magnitude and direction of bias in health outcomes research due to inaccuracy of claims coding for specific diagnoses.

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Year:  2003        PMID: 12873645     DOI: 10.1016/s0895-4356(03)00056-8

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  39 in total

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Authors:  Jaiben George; Suparna M Navale; Emmanuel M Nageeb; Gannon L Curtis; Alison K Klika; Wael K Barsoum; Michael A Mont; Carlos A Higuera
Journal:  Clin Orthop Relat Res       Date:  2018-10       Impact factor: 4.176

3.  Statin use and musculoskeletal pain among adults with and without arthritis.

Authors:  Catherine Buettner; Matthew J Rippberger; Julie K Smith; Suzanne G Leveille; Roger B Davis; Murray A Mittleman
Journal:  Am J Med       Date:  2012-02       Impact factor: 4.965

4.  Identification of rheumatoid arthritis patients using an administrative database: a Veterans Affairs study.

Authors:  Bernard Ng; Fawad Aslam; Nancy J Petersen; Hong-Jen Yu; Maria E Suarez-Almazor
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-10       Impact factor: 4.794

5.  Concordance Between Clinical Diagnosis and Medicare Claims of Depression Among Older Primary Care Patients.

Authors:  Seungyoung Hwang; Ravishankar Jayadevappa; Jarcy Zee; Kara Zivin; Hillary R Bogner; Patrick J Raue; Martha L Bruce; Charles F Reynolds; Joseph J Gallo
Journal:  Am J Geriatr Psychiatry       Date:  2014-08-27       Impact factor: 4.105

6.  Human and system errors, using adaptive turnaround documents to capture data in a busy practice.

Authors:  Stephen M Downs; Aaron E Carroll; Vibha Anand; Paul G Biondich
Journal:  AMIA Annu Symp Proc       Date:  2005

7.  Identifying chronic conditions in Medicare claims data: evaluating the Chronic Condition Data Warehouse algorithm.

Authors:  Yelena Gorina; Ellen A Kramarow
Journal:  Health Serv Res       Date:  2011-06-07       Impact factor: 3.402

8.  Electronic medical records for discovery research in rheumatoid arthritis.

Authors:  Katherine P Liao; Tianxi Cai; Vivian Gainer; Sergey Goryachev; Qing Zeng-treitler; Soumya Raychaudhuri; Peter Szolovits; Susanne Churchill; Shawn Murphy; Isaac Kohane; Elizabeth W Karlson; Robert M Plenge
Journal:  Arthritis Care Res (Hoboken)       Date:  2010-08       Impact factor: 4.794

9.  Cost-related medication nonadherence in older patients with rheumatoid arthritis.

Authors:  Leslie R Harrold; Becky A Briesacher; Dan Peterson; Ashley Beard; Jeanne Madden; Fang Zhang; Jerry H Gurwitz; Stephen B Soumerai
Journal:  J Rheumatol       Date:  2013-01-15       Impact factor: 4.666

10.  Geographic variation in epidural steroid injection use in medicare patients.

Authors:  Janna Friedly; Leighton Chan; Richard Deyo
Journal:  J Bone Joint Surg Am       Date:  2008-08       Impact factor: 5.284

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