Skip to main content

Advertisement

Log in

Influence of medication choice and comorbid diabetes: the cost of bipolar disorder in a privately insured US population

  • ORIGINAL PAPER
  • Published:
Social Psychiatry and Psychiatric Epidemiology Aims and scope Submit manuscript

Abstract

Background

Bipolar disorder is the most expensive mental disorder for US employer health plans. No published studies have examined the impact of comorbid diabetes on the cost of treating bipolar disorder. The objectives of this work were to determine the direct costs incurred by patients with bipolar disorder in a US managed care plan, and to examine the influence (1) of drug therapy regimen on bipolar-related costs, and (2) of diabetes on bipolar-related and all-cause costs.

Methods

A retrospective analysis of claims in a US private insurance database from January 1, 1999 through December 31, 2002 was performed. The database included at least 4.7 million enrollees each year. Diagnosis codes were used to identify patients with bipolar disorder; patients with diabetes were identified using diagnosis codes and medication use.

Results

From 1999–2002, treated bipolar disorder was identified in 262 (33.9) [mean (standard deviation)] cases per 100,000 enrollees. Among patients with bipolar disorder in this cohort, between 6.3 and 7.4% were treated for diabetes each year. Among patients with newly treated bipolar disorder, 61.8% received initial therapy with only mood stabilizers, 24.3% received only atypical antipsychotics, and 13.9% received both. Mean all-cause cost for patients with bipolar disorder was US$2,690 in the 6 months before the first bipolar-related claim, and US$6,826 in the following year. Of the latter cost, bipolar-related cost was US$1,272. Patients with comorbid diabetes had much higher all-cause cost (US$11,317) than those without diabetes in the year following the first bipolar-related claim, but only slightly higher bipolar-related cost (US$1,349). Among newly treated bipolar disorder patients, all-cause and bipolar-related cost in the year after diagnosis was lowest in patients receiving only mood stabilizers. Ordinary least squares regression analysis found that treatment with mood stabilizers only was associated with 41% lower bipolar-related cost than treatment with atypical antipsychotics only (P < .001). Significant individual associations were also found between bipolar-related cost and bipolar disorder I diagnosis, severe bipolar disorder and comorbid personality disorders (P < .001 for each) but not comorbid diabetes (P = .27).

Conclusions

These results suggest that patients with bipolar disorder who receive only mood stabilizer therapy incur lower bipolar-related and all-cause cost than those receiving only atypical antipsychotics. In contrast to that for all-cause cost, comorbid diabetes had little impact on direct costs related to treating bipolar disorder itself.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Allison DB, Mentore JL, Heo M, Chandler LP, Cappelleri JC, Infante MC, Weiden PJ (1999) Antipsychotic-induced weight gain: a comprehensive research synthesis. Am J Psychiatry 156:1686–1696

    PubMed  CAS  Google Scholar 

  2. American Diabetes Association, American Psychiatric Association, American Association of Clinical Endocrinologists, North American Association for the Study of Obesity (2004) Consensus development conference on antipsychotic drugs and obesity and diabetes. Diabetes Care 27:596–601

    Article  Google Scholar 

  3. Begley CE, Annegers JF, Swann AC, Lewis C, Coan S, Schnapp WB, Bryant-Comstock L (2001) The lifetime cost of bipolar disorder in the US: an estimate for new cases in 1998. Pharmacoeconomics 19:483–495

    Article  PubMed  CAS  Google Scholar 

  4. Bryant-Comstock L, Stender M, Devercelli G (2002) Health care utilization and costs among privately insured patients with bipolar I disorder. Bipolar Disord 4:398–405

    Article  PubMed  Google Scholar 

  5. Buse JB, Cavazzoni P, Hornbuckle K, Hutchins D, Breier A, Jovanovic L (2003) A retrospective cohort study of diabetes mellitus and antipsychotic treatment in the United States. J Clin Epidemiol 56:164–170

    Article  PubMed  Google Scholar 

  6. Etminan M, Streiner DL, Rochon PA (2003) Exploring the association between atypical neuroleptic agents and diabetes mellitus in older adults. Pharmacotherapy 23:1411–1415

    Article  PubMed  CAS  Google Scholar 

  7. Feldman PD, Hay LK, Deberdt W, Kennedy JS, Hutchins DS, Hay DP, Hardy TA, Hoffmann VP, Hornbuckle K, Breier A (2004) Retrospective cohort study of diabetes mellitus and antipsychotic treatment in a geriatric population in the United States. J Am Med Dir Assoc 5:38–46

    Article  PubMed  Google Scholar 

  8. Fuller MA, Shermock KM, Secic M, Grogg AL (2003) Comparative study of the development of diabetes mellitus in patients taking risperidone and olanzapine. Pharmacotherapy 23:1037–1043

    Article  PubMed  CAS  Google Scholar 

  9. Gianfrancesco F, White R, Wang RH, Nasrallah HA (2003) Antipsychotic-induced type 2 diabetes: evidence from a large health plan database. J Clin Psychopharmacol 23:328–335

    Article  PubMed  CAS  Google Scholar 

  10. Goetzel RZ, Hawkins K, Ozminkowski RJ, Wang S (2003) The health and productivity cost burden of the “top 10” physical and mental health conditions affecting six large U.S. employers in 1999. J Occup Environ Med 45:5–14

    Article  PubMed  Google Scholar 

  11. Jin H, Meyer JM, Jeste DV (2004) Atypical antipsychotics and glucose dysregulation: a systematic review. Schizophr Res 71:195–212

    Article  PubMed  Google Scholar 

  12. Jonas BS, Brody D, Roper M, Narrow WE (2003) Prevalence of mood disorders in a national sample of young American adults. Soc Psychiatry Psychiatr Epidemiol 38:618–624

    Article  PubMed  Google Scholar 

  13. Kessler RC, McGonagle KA, Zhao S, Nelson CB, Hughes M, Eshleman S, Wittchen HU, Kendler KS (1994) Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Arch Gen Psychiatry 51:8–19

    PubMed  CAS  Google Scholar 

  14. Leslie DL, Rosenheck RA (2004) Incidence of newly diagnosed diabetes attributable to atypical antipsychotic medications. Am J Psychiatry 161:1709–1711

    Article  PubMed  Google Scholar 

  15. Li J, McCombs JS, Stimmel GL (2002) Cost of treating bipolar disorder in the California Medicaid (Medi-Cal) program. J Affect Disord 71:131–139

    Article  PubMed  Google Scholar 

  16. McIntyre RS, McCann SM, Kennedy SH (2001) Antipsychotic metabolic effects: weight gain, diabetes mellitus, and lipid abnormalities. Can J Psychiatry 46:273–281

    PubMed  CAS  Google Scholar 

  17. Namjoshi MA, Rajamannar G, Jacobs T, Sanger TM, Risser R, Tohen MF, Breier A, Keck PE Jr. (2002) Economic, clinical, and quality-of-life outcomes associated with olanzapine treatment in mania. Results from a randomized controlled trial. J Affect Disord 69:109–118

    Article  PubMed  Google Scholar 

  18. Ollendorf DA, Joyce AT, Rucker M (2004) Rate of new-onset diabetes among patients treated with atypical or conventional antipsychotic medications for schizophrenia. Med Gen Med 6:5–16

    Google Scholar 

  19. Ostbye T, Curtis LH, Masselink LE, Wright A, Dans PE, Schulman KA, Krishnan RR, Hutchison S (2005) Atypical antipsychotic drugs and diabetes mellitus in a large outpatient population: a retrospective cohort study. Pharmacoepidemiol Drug Saf 14:407–415

    Article  PubMed  CAS  Google Scholar 

  20. Peele PB, Xu Y, Kupfer DJ (2003) Insurance expenditures on bipolar disorder: clinical and parity implications. Am J Psychiatry 160:1286–1290

    Article  PubMed  Google Scholar 

  21. Revicki DA, Paramore LC, Sommerville KW, Swann AC, Zajecka JM (2003) Divalproex sodium versus olanzapine in the treatment of acute mania in bipolar disorder: health-related quality of life and medical cost outcomes. J Clin Psychiatry 64:288–294

    Article  PubMed  CAS  Google Scholar 

  22. Sernyak MJ, Leslie DL, Alarcon RD, Losonczy MF, Rosenheck R (2002) Association of diabetes mellitus with use of atypical neuroleptics in the treatment of schizophrenia. Am J Psychiatry 159:561–566

    Article  PubMed  Google Scholar 

  23. Simon GE, Unutzer J (1999) Health care utilization and costs among patients treated for bipolar disorder in an insured population. Psychiatr Serv 50:1303–1308

    PubMed  CAS  Google Scholar 

  24. Stender M, Bryant-Comstock L, Phillips S (2002) Medical resource use among patients treated for bipolar disorder: a retrospective, cross-sectional, descriptive analysis. Clin Ther 24:1668–1676

    Article  PubMed  Google Scholar 

  25. Sussman N (2003) The implications of weight changes with antipsychotic treatment. J Clin Psychopharmacol 23:S21–S26

    Article  PubMed  CAS  Google Scholar 

  26. Weissman MM, Bruce ML, Leaf PJ, Florio LP, Holzer CI (1991) Affective disorders. In: Robins LN, Regier DA (eds) Psychiatric disorders in America: the epidemiologic catchment area study. Macmillan, New York, pp. 53–80

    Google Scholar 

  27. Work group on bipolar disorder, American Psychiatric Association (2002) Practice guideline for the treatment of patients with bipolar disorder (revision). Am J Psychiatry 159:1–50

    Article  Google Scholar 

  28. Wyatt RJ, Henter I (1995) An economic evaluation of manic-depressive illness–1991. Soc Psychiatry Psychiatr Epidemiol 30:213–219

    PubMed  CAS  Google Scholar 

Download references

Acknowledgments

Funding for this study was provided by Bristol-Myers Squibb Company. This article was prepared with the assistance of BioMedCom Consultants Inc, Montreal, Canada.

Disclosure: Carolyn Harley is employed by i3 Innovus and was sponsored by Bristol-Myers Squibb to conduct the research in this study. Hong Li, Patricia Corey-Lisle and Gilbert J L’Italien are full-time employees and shareholders of Bristol-Myers Squibb. William Carson is employed by Otsuka Pharmaceuticals in NJ. BioMedCom Consultants inc. was contracted by Bristol-Myers Squibb to assist in the preparation of the manuscript for publication from a study report.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carolyn Harley PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Harley, C., Li, H., Corey-Lisle, P. et al. Influence of medication choice and comorbid diabetes: the cost of bipolar disorder in a privately insured US population. Soc Psychiat Epidemiol 42, 690–697 (2007). https://doi.org/10.1007/s00127-007-0222-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00127-007-0222-z

Key words

Navigation