Journal of Clinical Epidemiology
Volume 58, Issue 2 , Pages 206-208 , February 2005

A cohort study showed that health insurance databases were accurate to distinguish chronic obstructive pulmonary disease from asthma and classify disease severity

References 

  1. Van Eijk ME, Krist LF, Avorn J, Porsius A, de Boer A. Do the research goal and database match? A checklist for a systematic approach. Health Policy. 2001;58:263–274
  2. Mainous AG, Hueston WJ. Using other people's data: the ins and outs of secondary data analysis. Fam Med. 1997;29:568–571
  3. Tamblyn R, Reid T, Mayo N, McLeod P, Churchill-Smith M. Using medical service claims to assess injuries in the elderly: sensitivity of diagnostic and procedure codes for injury ascertainment. J Clin Epidemiol. 2000;53:183–194
  4. Huzel L, Roos LL, Anthonisen NR, Manfreda J. Diagnosing asthma: the fit between survey and administrative database. Can Respir J. 2002;9:407–412
  5. Hanley J, McNeil B. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36
  6. Rawson NS, Malcolm E. Validity of the recording of ischaemic heart disease and chronic obstructive pulmonary disease in the Saskatchewan health care datafiles. Stat Med. 1995;14:2627–2643
  7. Mapel D, Pearson M. Obtaining evidence for use by healthcare payers on the success of chronic obstructive pulmonary disease management. Respir Med. 2002;96(Suppl):S23–S30
  8. Sin DD, Tu JV. Inhaled corticosteroids and the risk of mortality and readmission in elderly patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2001;164:580–584

PII: S0895-4356(04)00235-5

doi: 10.1016/j.jclinepi.2004.08.006

Journal of Clinical Epidemiology
Volume 58, Issue 2 , Pages 206-208 , February 2005

Article Tools