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Published in: International Journal of Clinical Pharmacy 2/2016

01-04-2016 | Research Article

Evaluating antidepressant treatment prior to adding second-line therapies among patients with treatment-resistant depression

Authors: Amany K. Hassan, Kevin C. Farmer, Nancy C. Brahm, Barbara R. Neas

Published in: International Journal of Clinical Pharmacy | Issue 2/2016

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Abstract

Background Patients with depression can be mistakenly labeled as treatment-resistant if they fail to receive an adequate first-line antidepressant trial. Adding second-line agents to the treatment regimens can create an additional burden on both the patients and the healthcare system. Objectives To determine if depressed patients receive an adequate antidepressant trial prior to starting second-line therapy and to investigate the association between the type of second-line treatment and severity of illness or depression among unipolar versus bipolar patients. Setting Oklahoma Medicaid claims data between 2006 and 2011. Methods Subjects were depression-diagnosed adult patients with at least two prescriptions of antidepressants followed by a second-line agent. Patients were categorized into one of three groups: an atypical antipsychotic, other augmentation agents (lithium, buspirone, and triiodothyronine), or adding antidepressants, based on the type of second-line therapy. An adequate trial was defined per the American Psychiatric Association guidelines. Factors associated with the type of treatment were tested using multinomial logistic regression models stratified by type of depression (unipolar vs. bipolar patients). Main outcome measure Variables used to measure receiving an adequate antidepressant trial included: trial duration, adherence, dose adequacy, and number of distinct antidepressant trials. Results A total of 3910 patients were included in the analysis. Most subjects reached the recommended antidepressant dose. However, 28 % of patients had an antidepressant trial duration <4 weeks and only 60 % tried at least two antidepressant regimens prior to adding second-line therapy. Approximately 50 % of the subjects were non-adherent across all groups. Severity of illness and receipt of an adequate antidepressant trial were not predictors of the type of second-line treatment. Conclusion Many patients do not receive an adequate antidepressant trial before starting a second-line agent. The type of second-line treatment was independent of severity of depression. These findings support policies that require reviewing the recommended dose and duration of the first-line antidepressant before adding second-line agents. Healthcare providers need to review the patient’s history and reconsider the evidence for prescribing second-line agents.
Literature
1.
go back to reference Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095–105.CrossRefPubMed Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095–105.CrossRefPubMed
2.
go back to reference Fava M. Diagnosis and definition of treatment-resistant depression. Biol Psychiatry. 2003;53(8):649–59.CrossRefPubMed Fava M. Diagnosis and definition of treatment-resistant depression. Biol Psychiatry. 2003;53(8):649–59.CrossRefPubMed
4.
go back to reference Nelson JC. The STAR*D study: a four-course meal that leaves us wanting more. Am J Psychiatry. 2006;163(11):1864–6.CrossRefPubMed Nelson JC. The STAR*D study: a four-course meal that leaves us wanting more. Am J Psychiatry. 2006;163(11):1864–6.CrossRefPubMed
5.
go back to reference Nierenberg AA, Amsterdam JD. Treatment-resistant depression: definition and treatment approaches. J Clin Psychiatry. 1990;51(Suppl):39–47 (discussion 48–50).PubMed Nierenberg AA, Amsterdam JD. Treatment-resistant depression: definition and treatment approaches. J Clin Psychiatry. 1990;51(Suppl):39–47 (discussion 48–50).PubMed
6.
go back to reference Shelton RC, Osuntokun O, Heinloth AN, Corya SA. Therapeutic options for treatment-resistant depression. CNS Drugs. 2010;24(2):131–61.CrossRefPubMed Shelton RC, Osuntokun O, Heinloth AN, Corya SA. Therapeutic options for treatment-resistant depression. CNS Drugs. 2010;24(2):131–61.CrossRefPubMed
8.
go back to reference Kornstein SG, Schneider RK. Clinical features of treatment-resistant depression. J Clin Psychiatry. 2001;62(Suppl 16):18–25.PubMed Kornstein SG, Schneider RK. Clinical features of treatment-resistant depression. J Clin Psychiatry. 2001;62(Suppl 16):18–25.PubMed
9.
go back to reference Bull SA, Hu XH, Hunkeler EM, Lee JY, Ming EE, Markson LE, et al. Discontinuation of use and switching of antidepressants: influence of patient–physician communication. JAMA. 2002;288(11):1403–9.CrossRefPubMed Bull SA, Hu XH, Hunkeler EM, Lee JY, Ming EE, Markson LE, et al. Discontinuation of use and switching of antidepressants: influence of patient–physician communication. JAMA. 2002;288(11):1403–9.CrossRefPubMed
10.
go back to reference Trivedi MH, Lin EH, Katon WJ. Consensus recommendations for improving adherence, self-management, and outcomes in patients with depression. CNS Spectr. 2007;12(8 Suppl 13):1–27.PubMed Trivedi MH, Lin EH, Katon WJ. Consensus recommendations for improving adherence, self-management, and outcomes in patients with depression. CNS Spectr. 2007;12(8 Suppl 13):1–27.PubMed
11.
go back to reference Sheehan DV, Keene MS, Eaddy M, Krulewicz S, Kraus JE, Carpenter DJ. Differences in medication adherence and healthcare resource utilization patterns: older versus newer antidepressant agents in patients with depression and/or anxiety disorders. CNS Drugs. 2008;22(11):963–73.CrossRefPubMed Sheehan DV, Keene MS, Eaddy M, Krulewicz S, Kraus JE, Carpenter DJ. Differences in medication adherence and healthcare resource utilization patterns: older versus newer antidepressant agents in patients with depression and/or anxiety disorders. CNS Drugs. 2008;22(11):963–73.CrossRefPubMed
12.
go back to reference Givens JL, Datto CJ, Ruckdeschel K, Knott K, Zubritsky C, Oslin DW, et al. Older patients’ aversion to antidepressants. A qualitative study. J Gen Intern Med. 2006;21(2):146–51.PubMedPubMedCentral Givens JL, Datto CJ, Ruckdeschel K, Knott K, Zubritsky C, Oslin DW, et al. Older patients’ aversion to antidepressants. A qualitative study. J Gen Intern Med. 2006;21(2):146–51.PubMedPubMedCentral
13.
go back to reference Hunot VM, Horne R, Leese MN, Churchill RC. A cohort study of adherence to antidepressants in primary care: the influence of antidepressant concerns and treatment preferences. Prim Care Companion J Clin Psychiatry. 2007;9(2):91–9.CrossRefPubMedPubMedCentral Hunot VM, Horne R, Leese MN, Churchill RC. A cohort study of adherence to antidepressants in primary care: the influence of antidepressant concerns and treatment preferences. Prim Care Companion J Clin Psychiatry. 2007;9(2):91–9.CrossRefPubMedPubMedCentral
14.
go back to reference Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Curr Med Res Opin. 2009;25(9):2303–10.CrossRefPubMed Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Curr Med Res Opin. 2009;25(9):2303–10.CrossRefPubMed
15.
go back to reference Andrade SE, Kahler KH, Frech F, Chan KA. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf. 2006;15(8):565–74 (discussion 575–567).CrossRefPubMed Andrade SE, Kahler KH, Frech F, Chan KA. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf. 2006;15(8):565–74 (discussion 575–567).CrossRefPubMed
16.
go back to reference Liu X, Tepper PG, Able SL. Adherence and persistence with duloxetine and hospital utilization in patients with major depressive disorder. Int Clin Psychopharmacol. 2011;26(3):173–80.CrossRefPubMed Liu X, Tepper PG, Able SL. Adherence and persistence with duloxetine and hospital utilization in patients with major depressive disorder. Int Clin Psychopharmacol. 2011;26(3):173–80.CrossRefPubMed
17.
go back to reference Wu CH, Farley JF, Gaynes BN. The association between antidepressant dosage titration and medication adherence among patients with depression. Depress Anxiety. 2012;29(6):506–14.CrossRefPubMed Wu CH, Farley JF, Gaynes BN. The association between antidepressant dosage titration and medication adherence among patients with depression. Depress Anxiety. 2012;29(6):506–14.CrossRefPubMed
18.
go back to reference Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.CrossRefPubMed
19.
go back to reference Gibson TB, Jing Y, Smith Carls G, Kim E, Bagalman JE, Burton WN, et al. Cost burden of treatment resistance in patients with depression. Am J Manag Care. 2010;16(5):370–7.PubMed Gibson TB, Jing Y, Smith Carls G, Kim E, Bagalman JE, Burton WN, et al. Cost burden of treatment resistance in patients with depression. Am J Manag Care. 2010;16(5):370–7.PubMed
20.
go back to reference Petersen T, Papakostas GI, Posternak MA, KantA GuykerWM, Iosifescu DV, et al. Empirical testing of two models for staging antidepressant treatment resistance. J Clin Psychopharmacol. 2005;25(4):336–41.CrossRefPubMed Petersen T, Papakostas GI, Posternak MA, KantA GuykerWM, Iosifescu DV, et al. Empirical testing of two models for staging antidepressant treatment resistance. J Clin Psychopharmacol. 2005;25(4):336–41.CrossRefPubMed
21.
go back to reference Correa R, Akiskal H, Gilmer W, Nierenberg AA, Trivedi M, Zisook S. Is unrecognized bipolar disorder a frequent contributor to apparent treatment resistant depression? J Affect Disord. 2010;127(1–3):10–8.CrossRefPubMed Correa R, Akiskal H, Gilmer W, Nierenberg AA, Trivedi M, Zisook S. Is unrecognized bipolar disorder a frequent contributor to apparent treatment resistant depression? J Affect Disord. 2010;127(1–3):10–8.CrossRefPubMed
22.
go back to reference Vazquez G, Tondo L, Baldessarini RJ. Comparison of antidepressant responses in patients with bipolar vs. unipolar depression: a meta-analytic review. Pharmacopsychiatry. 2011;44(1):21–6.PubMed Vazquez G, Tondo L, Baldessarini RJ. Comparison of antidepressant responses in patients with bipolar vs. unipolar depression: a meta-analytic review. Pharmacopsychiatry. 2011;44(1):21–6.PubMed
23.
go back to reference Crown WH, Finkelstein S, Berndt ER, et al. The impact of treatment-resistant depression on health care utilization and costs. J Clin Psychiatry. 2002;63(11):963–71.CrossRefPubMed Crown WH, Finkelstein S, Berndt ER, et al. The impact of treatment-resistant depression on health care utilization and costs. J Clin Psychiatry. 2002;63(11):963–71.CrossRefPubMed
24.
go back to reference Russell JM, Hawkins K, Ozminkowski RJ, Orsini L, Crown W, Kennedy S, et al. The cost consequences of treatment-resistant depression. J Clin Psychiatry. 2004;65(3):341–7.CrossRefPubMed Russell JM, Hawkins K, Ozminkowski RJ, Orsini L, Crown W, Kennedy S, et al. The cost consequences of treatment-resistant depression. J Clin Psychiatry. 2004;65(3):341–7.CrossRefPubMed
25.
go back to reference Greenberg P, Corey-Lisle PK, Birnbaum H, Marynchenko M, Claxton A. Economic implications of treatment-resistant depression among employees. Pharmacoeconomics. 2004;22(6):363–73.CrossRefPubMed Greenberg P, Corey-Lisle PK, Birnbaum H, Marynchenko M, Claxton A. Economic implications of treatment-resistant depression among employees. Pharmacoeconomics. 2004;22(6):363–73.CrossRefPubMed
26.
go back to reference Jing Y, Kalsekar I, Curkendall SM, Carls GS, Bagalman E, Forbes RA, et al. Intent-to-treat analysis of health care expenditures of patients treated with atypical antipsychotics as adjunctive therapy in depression. Clin Ther. 2011;33(9):1246–57.CrossRefPubMed Jing Y, Kalsekar I, Curkendall SM, Carls GS, Bagalman E, Forbes RA, et al. Intent-to-treat analysis of health care expenditures of patients treated with atypical antipsychotics as adjunctive therapy in depression. Clin Ther. 2011;33(9):1246–57.CrossRefPubMed
27.
go back to reference Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA. 2002;287(2):203–9.CrossRefPubMed Olfson M, Marcus SC, Druss B, Elinson L, Tanielian T, Pincus HA. National trends in the outpatient treatment of depression. JAMA. 2002;287(2):203–9.CrossRefPubMed
28.
go back to reference Fullerton CA, Busch AB, Normand SL, McGuire TG, Epstein AM. Ten-year trends in quality of care and spending for depression: 1996 through 2005. Arch Gen Psychiatry. 2011;68(12):1218–26.CrossRefPubMed Fullerton CA, Busch AB, Normand SL, McGuire TG, Epstein AM. Ten-year trends in quality of care and spending for depression: 1996 through 2005. Arch Gen Psychiatry. 2011;68(12):1218–26.CrossRefPubMed
Metadata
Title
Evaluating antidepressant treatment prior to adding second-line therapies among patients with treatment-resistant depression
Authors
Amany K. Hassan
Kevin C. Farmer
Nancy C. Brahm
Barbara R. Neas
Publication date
01-04-2016
Publisher
Springer International Publishing
Published in
International Journal of Clinical Pharmacy / Issue 2/2016
Print ISSN: 2210-7703
Electronic ISSN: 2210-7711
DOI
https://doi.org/10.1007/s11096-016-0272-y

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