Skip to main content
Open access
Research Article
8 February 2019

Medicaid spending burden among beneficiaries with treatment-resistant depression

Abstract

Aim: To evaluate Medicaid spending and healthcare resource utilization (HRU) in treatment-resistant depression (TRD). Materials & methods: TRD beneficiaries were identified from Medicaid claims databases (January 2010–March 2017) and matched 1:1 with major depressive disorder (MDD) beneficiaries without TRD (non-TRD-MDD) and randomly selected patients without MDD (non-MDD). Differences in HRU and per-patient-per-year costs were reported in incidence rate ratios (IRRs) and cost differences (CDs), respectively. Results: TRD beneficiaries had higher HRU than 1:1 matched non-TRD-MDD (e.g., inpatient visits: IRR = 1.41) and non-MDD beneficiaries (N = 14,710 per cohort; e.g., inpatient visits: IRR = 3.42, p < 0.01). TRD beneficiaries incurred greater costs versus non-TRD-MDD (CD = US$4382) and non-MDD beneficiaries (CD = US$8294; p < 0.05). Conclusion: TRD is associated with higher HRU and costs versus non-TRD-MDD and non-MDD. TRD poses a significant burden to Medicaid.

Supplementary Material

File (suppl_data.doc)

References

Papers of special note have been highlighted as: • of interest; •• of considerable interest
1.
National Institute of Mental Health. Major depression (2018). www.nimh.nih.gov/health/statistics/major-depression.shtml.
2.
Greenberg PE, Fournier AA, Sisitsky T, Pike CT, Kessler RC. The economic burden of adults with major depressive disorder in the United States (2005 and 2010). J. Clin. Psychiatry 76(2), 155–162 (2015).
• This study quantified the direct and indirect cost burden of major depressive disorder (MDD) in the USA.
3.
Rush AJ, Trivedi MH, Wisniewski SR et al. Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR• D report. Am. J. Psychiatry 163(11), 1905–1917 (2006).
4.
Shelton RC, Osuntokun O, Heinloth AN, Corya SA. Therapeutic options for treatment-resistant depression. CNS Drugs 24(2), 131–161 (2010).
5.
Hudson CG. Socioeconomic status and mental illness: tests of the social causation and selection hypotheses. Am. J. Orthopsychiatry 75(1), 3–18 (2005).
6.
United States Government. Eligibility (2018). www.medicaid.gov/.
7.
Zur J, Musumeci M, Garfield R. Medicaid's Role in Financing Behavioral Health Services for Low-Income Individuals. Kaiser Family Foundation, Menlo Park, USA (2017). www.kff.org/medicaid/issue-brief/medicaids-role-in-financing-behavioral-health-services-for-low-income-individuals/.
8.
Garfield RL. Mental health financing in the United States (2011). https://kaiserfamilyfoundation.files.wordpress.com/2013/01/8182.pdf.
9.
Baicker K, Allen HL, Wright BJ, Taubman SL, Finkelstein AN. The effect of Medicaid on management of depression: evidence from the Oregon Health Insurance Experiment. Milbank Q 96(1), 29–56 (2018).
10.
Amos TB, Tandon N, Lefebvre P et al. Direct and indirect cost burden and change of employment status in treatment-resistant depression: a matched-cohort study using a US Commercial Claims Database. J. Clin. Psychiatry 79(2), pii:17m11725 (2018).
•• This retrospective study used a design similar to the present study to evaluate treatment patterns, healthcare resource utilization (HRU) and costs in commercially insured patients with treatment-resistant depression (TRD), non-TRD MDD, and without MDD.
11.
Greenberg P, Corey-Lisle PK, Marynchenko M, Claxton A. Economic implications of treatment-resistant depression among employees. Pharmacoeconomics 22(6), 363–373 (2004).
12.
Mrazek DA, Hornberger JC, Altar CA, Degtiar I. A review of the clinical, economic, and societal burden of treatment-resistant depression: 1996-2013. Psychiatric Serv. 65(8), 977–987 (2014).
13.
Olfson M, Amos TB, Benson C, Mcrae J, Marcus SC. Prospective service use and health care costs of Medicaid beneficiaries with treatment-resistant depression. J. Manag. Care Spec. Pharm. 24(3), 226–236 (2018).
•• This study included Medicaid-insured patients and evaluated their HRU and costs, but used a study design different from that in the present study.
14.
Work Group on Major Depressive Disorder. Practice Guidelines for the Treatment of Patients with Major Depressive Disorder (3rd Edition). American Psychiatric Association (2010).
15.
Cohen J. The t test for means. In : Statistical Power Analysis for the Behavorial Sciences. Academic Press, Ontario, Canada (1977).
16.
Austin PC. Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Commun. Stat. 38(6), 1228–1234 (2009).
17.
Normand ST, Landrum MB, Guadagnoli E et al. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. J. Clin. Epidemiol. 54(4), 387–398 (2001).
18.
Cepeda MS, Reps J, Fife D, Blacketer C, Stang P, Ryan P. Finding treatment-resistant depression in real-world data: how a data-driven approach compares with expert-based heuristics. Depress. Anxiety 35(3), 220–228 (2018).
• This study developed a data-driven definition of TRD and evaluated its ability to detect patients with TRD.
19.
Cepeda MS, Reps J, Ryan P. Finding factors that predict treatment-resistant depression: results of a cohort study. Depress. Anxiety 35(7), 668–673 (2018).
• This retrospective claims study identified risk factors for developing TRD.
20.
Corey-Lisle PK, Birnbaum HG, Greenberg PE, Marynchenko MB, Claxton AJ. Identification of a claims data ‘signature’ and economic consequences for treatment-resistant depression. J. Clin. Psychiatry 63(8), 717–726 (2002).
• This study developed a treatment pattern algorithm based on health insurance claims data to classify patients with MDD as TRD likely and TRD unlikely, and compared their HRU and costs.
21.
Ivanova JI, Birnbaum HG, Kidolezi Y, Subramanian G, Khan SA, Stensland MD. Direct and indirect costs of employees with treatment-resistant and non-treatment-resistant major depressive disorder. Curr. Med. Res. Opin. 26(10), 2475–2484 (2010).
• This study compared the direct and indirect costs between TRD and non-TRD MDD patients.
22.
Cohen A, Houck PR, Szanto K, Dew MA, Gilman SE, Reynolds CF 3rd. Social inequalities in response to antidepressant treatment in older adults. Arch. Gen. Psychiatry 63(1), 50–56 (2006).
23.
Trivedi MH, Rush AJ, Wisniewski SR et al. Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. Am. J. Psychiatry 163(1), 28–40 (2006).
24.
Reus VI, Fochtmann LJ, Eyler AE et al. The American Psychiatric Association practice guideline on the use of antipsychotics to treat agitation or psychosis in patients with dementia. Am. J. Psychiatry 173(5), 543–546 (2016).
25.
Hansen DG, Vach W, Rosholm JU, Sondergaard J, Gram LF, Kragstrup J. Early discontinuation of antidepressants in general practice: association with patient and prescriber characteristics. Fam. Pract. 21(6), 623–629 (2004).
26.
Olfson M, Marcus SC, Tedeschi M, Wan GJ. Continuity of antidepressant treatment for adults with depression in the United States. Am. J. Psychiatry 163(1), 101–108 (2006).
27.
Papakostas GI, Petersen T, Sonawalla SB et al. Serum cholesterol in treatment-resistant depression. Neuropsychobiology 47(3), 146–151 (2003).
28.
Popkin MK, Callies AL, Mackenzie TB. The outcome of antidepressant use in the medically ill. Arch. Gen. Psychiatry 42(12), 1160–1163 (1985).
29.
Sonawalla SB, Papakostas GI, Petersen TJ et al. Elevated cholesterol levels associated with nonresponse to fluoxetine treatment in major depressive disorder. Psychosomatics 43(4), 310–316 (2002).
30.
Amital D, Fostick L, Silberman A et al. Physical co-morbidity among treatment resistant vs treatment responsive patients with major depressive disorder. Eur. Neuropsychopharmacol. 23(8), 895–901 (2013).
31.
Miller MD, Lenze EJ, Dew MA et al. Effect of cerebrovascular risk factors on depression treatment outcome in later life. Am. J. Geriatr. Psychiatry 10(5), 592–598 (2002).
32.
Perlis RH, Iosifescu DV, Alpert J, Nierenberg AA, Rosenbaum JF, Fava M. Effect of medical comorbidity on response to fluoxetine augmentation or dose increase in outpatients with treatment-resistant depression. Psychosomatics 45(3), 224–229 (2004).
33.
Small GW, Birkett M, Meyers BS, Koran LM, Bystritsky A, Nemeroff CB. Impact of physical illness on quality of life and antidepressant response in geriatric major depression. Fluoxetine Collaborative Study Group. J. Am. Geriatr. Soc. 44(10), 1220–1225 (1996).
34.
De Hert M, Correll CU, Bobes J et al. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry 10(1), 52–77 (2011).
35.
Bradford DW, Kim MM, Braxton LE, Marx CE, Butterfield M, Elbogen EB. Access to medical care among persons with psychotic and major affective disorders. Psychiatric Serv. 59(8), 847–852 (2008).