Urology
Volume 71, Issue 5 , Pages 776-780 , May 2008

Costs of Interstitial Cystitis in a Managed Care Population

  • J. Quentin Clemens

      Affiliations

    • Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
    • Corresponding Author InformationReprint requests: J. Quentin Clemens, M.D., M.S.C.I., Department of Urology, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 11-715, Chicago, IL 60611.
  • ,
  • Richard T. Meenan

      Affiliations

    • Center for Health Research, Kaiser Permanente Northwest Division, Portland, Oregon
  • ,
  • Maureen C. O'Keeffe Rosetti

      Affiliations

    • Center for Health Research, Kaiser Permanente Northwest Division, Portland, Oregon
  • ,
  • Terry Kimes

      Affiliations

    • Center for Health Research, Kaiser Permanente Northwest Division, Portland, Oregon
  • ,
  • Elizabeth A. Calhoun

      Affiliations

    • Department of Health Policy Administration, University of Illinois School of Public Health, Chicago, Illinois

Received 31 January 2007 ,Accepted 2 November 2007.

References 

  1. Abrams P, Cardozo L, Fall M, et al. The standardisation of terminology of lower urinary tract function: report from the Standardisation Subcommittee of the International Continence Society. Neurourol Urodyn. 2002;21:167–178
  2. Propert KJ, Schaeffer AJ, Brensinger CM, et al. Interstitial Cystitis Data Base Study Group A prospective study of interstitial cystitis: results of longitudinal followup of the interstitial cystitis data base cohort. J Urol. 2000;163:1434–1439
  3. Henderson LJ. Diagnosis, treatment, and lifestyle changes of interstitial cystitis. AORN J. 2000;71:525–530533–536, 538
  4. Michael YL, Kawachi I, Stampfer MJ, et al. Quality of life among women with interstitial cystitis. J Urol. 2000;164:423–427
  5. Clemens JQ, Meenan RT, Rosetti MC, et al. Prevalence and incidence of interstitial cystitis in a managed care population. J Urol. 2005;173:98–102
  6. Hornbrook MC, Goodman MJ. Adjusting health benefit contributions to reflect risk. Adv Health Econ Health Serv Res. 1991;12:41–76
  7. Fishman PA, Goodman MJ, Hornbrook MC, et al. Risk adjustment using automated ambulatory pharmacy data: the RxRisk model. Med Care. 2003;41:84–99
  8. Dominick KL, Dudley TK, Coffman CJ, et al. Comparison of three comorbidity measures for predicting health service use in patients with osteoarthritis. Arthritis Rheum. 2005;53:666–672
  9. Meenan RT, Goodman MJ, Fishman PA, et al. Using risk-adjustment models to identify high-cost risks. Med Care. 2003;41:1301–1312
  10. Sloan KL, Sales AE, Liu CF, et al. Construction and characteristics of the RxRisk-V: a VA-adapted pharmacy-based case-mix instrument. Med Care. 2003;41:761–774
  11. Sales AE, Liu CF, Sloan KL, et al. Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population. Med Care. 2003;41:753–760
  12. Ray GT, Collin F, Lieu T, et al. The cost of health conditions in a health maintenance organization. Med Care Res Rev. 2000;57:92–109
  13. Wu EQ, Birnbaum H, Mareva M, et al. Interstitial cystitis: cost, treatment and co-morbidities in an employed population. Pharmacoeconomics. 2006;24:55–65
  14. Burkman RT. Chronic pelvic pain of bladder origin: epidemiology, pathogenesis and quality of life. J Reprod Med. 2004;49:225–229

 This study was supported by National Institute of Arthritis, Diabetes, Digestive and Kidney Diseases grant U01 DK060177-02.

PII: S0090-4295(07)02628-3

doi: 10.1016/j.urology.2007.11.154

Urology
Volume 71, Issue 5 , Pages 776-780 , May 2008