The accuracy of asthma and respiratory disease diagnostic codes in a managed care medical claims database

Disease Management

Volumn 4, Issue 4, 2001, Pages 155-161

  Krueger, Kem P ^a   Armstrong, Edward P ^b   Langley, Paul C ^c  

^a AUBURN UNIVERSITY   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c 3M COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASTHMA; CODING; CONTROLLED STUDY; DATA BASE; DIAGNOSTIC ACCURACY; DISEASE MANAGEMENT; HEALTH CARE ORGANIZATION; HEALTH INSURANCE; HEALTH SURVEY; HUMAN; MAJOR CLINICAL STUDY; MANAGED CARE; MEDICAL RECORD; MEDICAL RESEARCH; RESPIRATORY TRACT DISEASE; SAMPLING;

EID: 0035696076     PISSN: 1093507X     EISSN: None     Source Type: Journal    
DOI: 10.1089/10935070152744534     Document Type: Article

References (15)

1. Epidemiology in Plato's care: Claims data and clinical reality
2. Accuracy of Medicare claims data for estimation of cancer incidence and resection rates among elderly Americans
3. Discordance of databases designed for claims payment versus clinical information systems
4. Comparing clinical information with claims data: Some similarities and differences
5. Using claims data for epidemiologic research, the concordance of claims-based criteria with the medical patient survey for identifying a hypertensive population
6. The accuracy of Medicare's hospital claims data: Progress has been made, but problems remain
7. Accuracy of diagnostic coding for Medicare patients under the prospective-payment system
8. Medical insurance claims as a source of data for research: Accuracy of diagnostic coding
9. Physician and coding errors in patient records
10. Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database
11. Accuracy of injury coding in Victorian hospital morbidity data
12. Inaccuracy of the international classification of diseases (ICD-9-CM) in identifying the diagnosis of ischemic cerebrovascular disease
13. Lack of concordance between the ICD-9 classification of soft tissue disorders of the neck and upper limb and chart review diagnosis: One steel mill's experience
14. Sample size
15. Determining sample size for research activities