2019
DOI: 10.2217/cer-2018-0140
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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), respective… Show more

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Cited by 20 publications
(30 citation statements)
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“…In this study, healthcare costs were considerably high and contrary to expectations that IDNs are associated with lower costs [11,15,30]. Instead, the higher HRU and costs among TRD patients relative to non-TRD MDD or non-MDD patients in this study aligned with previous commercial claims-based studies of patients treated in non-IDN settings [6,8,9,31,32]. A recent study, by Amos et al [8], evaluated HRU and costs among commercially insured TRD patients using a similar study design as the present study, which allows for indirect comparisons.…”
Section: Discussionsupporting
confidence: 75%
“…In this study, healthcare costs were considerably high and contrary to expectations that IDNs are associated with lower costs [11,15,30]. Instead, the higher HRU and costs among TRD patients relative to non-TRD MDD or non-MDD patients in this study aligned with previous commercial claims-based studies of patients treated in non-IDN settings [6,8,9,31,32]. A recent study, by Amos et al [8], evaluated HRU and costs among commercially insured TRD patients using a similar study design as the present study, which allows for indirect comparisons.…”
Section: Discussionsupporting
confidence: 75%
“…Multiple prior studies of treatment-resistant depression have employed a range of criteria to define the treatment-resistant depression patient population. These criteria typically include some combination of the following: clinical diagnosis of depression, number of treatments used (>2 to �4), use of specific medications, time on medication(s), upward titration of medication(s), use of optimization strategies, and results from questionnaires [14][15][16][17][18][19][20][21][22]29]. Therefore, it is not surprising to observe the variance in reported percentages of patients with major depressive disorder who were treatment-resistant, which ranged between 11% and 30%; in most studies, patients with treatment-resistant depression were predominately female (64% to 74%) and between 35 and 55 years of age, although in 1 study [17] only 41% of patients with treatment-resistant depression were female.…”
Section: Discussionmentioning
confidence: 99%
“…The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. [14,20,22]. Among commercially-insured patients, indirect work loss-related costs were also US$1,811 greater in patients with treatment-resistant depression [14].…”
Section: Plos Onementioning
confidence: 99%
See 1 more Smart Citation
“…Failure of a treatment course was defined as a switch of an AD (no more than 180 days after the end of the previous treatment), the addition of an AD, or the initiation of an augmentation therapy. Initiation of a third AD or augmentation medication defined TRD, consistent with recent literature using insurance claims databases to identify patients with TRD 10,[16][17][18][19][20][21][22] .…”
Section: Study Design Sample Selection and Study Cohortsmentioning
confidence: 62%