Economic burden associated with inadequate antidepressant medication management among patients with depression and known cardiovascular diseases: insights from a United States–based retrospective claims database analysis

Abstract

Aims: The current study examined the association between insufficient major depressive disorder (MDD) care and healthcare resource use (HCRU) and costs among patients with prior myocardial infarction (MI) or stroke.

Methods: This was a retrospective study conducted using the MarketScan Claims Database (2010–2015). The date of the first MI/stroke diagnosis was defined as the cardiovascular disease (CVD) index date and the first date of a subsequent MDD diagnosis was the index MDD date. Adequacy of MDD care was assessed during the 90 days following the index MDD date (profiling period) using 2 measures: dosage adequacy (average fluoxetine equivalent dose of ≥20?mg/day for nonelderly and ≥10?mg/day for elderly patients) and duration adequacy (measured as the proportion of days covered of 80% or higher for all MDD drugs). Study outcomes included all-cause and CVD-related HCRU and costs which were determined from the end of the profiling period until the end of study follow-up. Propensity-score adjusted generalized linear models (GLMs) were used to compare patients receiving adequate versus inadequate MDD care in terms of study outcomes.

Results: Of 1,568 CVD patients who were treated for MDD, 937 (59.8%) were categorized as receiving inadequate MDD care. Results from the GLMs suggested that patients receiving inadequate MDD care had 14% more all-cause hospitalizations, 4% more all-cause outpatient visits, 17% more CVD-related outpatient visits, 13% more CVD-related emergency room (ER) visits, higher per patient per year CVD-related hospitalization costs ($21,485 vs. $17,756), higher all-cause outpatient costs ($2,820 vs. $2,055), and higher CVD-related outpatient costs ($520 vs. $434) compared to patients receiving adequate MDD care.

Limitations: Clinical information such as depression severity and frailty, which are potential predictors of adverse CVD outcomes, could not be ascertained using administrative claims data.

Conclusions: Among post-MI and post-stroke patients, inadequate MDD care was associated with a significantly higher economic burden.     

Changes in healthcare resource use and costs associated with early versus delayed initiation of atypical antipsychotic adjunctive treatment in major depressive disorder

Aims: The study compared all-cause and major depressive disorder (MDD)-related healthcare resource use (HRU) and costs in patients with MDD treated with atypical antipsychotic (AAP) adjunctive therapy early or later in treatment.

Materials and methods: Adults with MDD and antidepressant treatment (ADT) who newly initiated adjunctive aripiprazole, brexpiprazole, lurasidone, or quetiapine between October 1, 2014 and September 30, 2015 were identified in the IQVIA Real-World Data Adjudicated Claims database; the index date was the date of the first AAP claim. Patients were stratified into three cohorts: AAP initiated in the first year (Y1); in the second year (Y2); and more than 2 years (Y3) of first ADT use. Within each cohort, HRU and costs were compared between the 12 months before and after the index date. Pre–post changes in HRU and costs were then compared between cohorts.

Results: Five hundred and six (36.7%) patients were categorized as Y1; 252 (18.3%) as Y2; and 622 (45.1%) as Y3. AAP use was associated with significantly decreased rates of all-cause and MDD-related hospitalization and emergency department visits, and increased rates of pharmacy fills and physician office visits; and the magnitude of changes was largest in cohort Y1. Cohort Y1 had the largest reductions in mean (±SD) all-cause medical costs per patient (?$10,496?±?$85,022, p?=?.015) compared to Y2 (?$2,474?±?$85,022, p?=?.572) and Y3 (?$472?±?$31,334, p?=?.823), mainly due to the reduction in hospitalization. After adjusting for differences in baseline characteristics, the largest reductions in hospitalization and medical costs were observed in cohort Y1. Similar increases in all-cause pharmacy costs were seen in all cohorts. A similar trend in costs was observed in MDD-related healthcare services.

Limitations and conclusions: AAP treatment was associated with reductions in all-cause and MDD-related medical costs, primarily in decreased hospitalization. The reductions were largest among patients who initiated treatment in the first year.     

Healthcare resource use and costs of privately insured patients who switch,discontinue, or persist on anti-muscarinic therapy for overactive bladder

Objectives:

To compare the healthcare costs of patients with overactive bladder (OAB) who switch vs persist on anti-muscarinic agents (AMs), describe resource use and costs among OAB patients who discontinue AMs, and assess factors associated with persisting vs switching or discontinuing.

Methods:

OAB patients initiating an AM between January 1, 2007 and March 31, 2012 were identified from a claims database of US privately insured beneficiaries (n?≈?16 million) and required to have no AM claims in the 12 months before AM initiation (baseline period). Patients were classified as persisters, switchers, or discontinuers, and assigned a study index date based on their AM use in the 6 months following initiation. Baseline characteristics, resource use, and costs were compared between persisters and the other groups. Resource use and costs in the 1 month before and 6 months after the study index date (for switchers, the date of index AM switching; for persisters, a randomly assigned date to reflect the distribution of the time from AM initiation to switching among switchers) were also compared between persisters and switchers in unadjusted and adjusted analyses. Factors associated with persisting vs switching or discontinuing were assessed.

Results:

After controlling for baseline characteristics and costs, persisters vs switchers had significantly lower all-cause and OAB-related costs in both the month before (all-cause $1222 vs $1759, OAB-related $142 vs $170) and 6 months after the study index date (all-cause $7017 vs $8806, OAB-related $642 vs $797). Factors associated with switching or discontinuing vs persisting included index AM, younger age, and history of UTI.

Conclusion:

A large proportion of OAB patients discontinue or switch AMs shortly after initiation, and switching is associated with higher costs.     

Healthcare costs of stroke and major bleeding in patients with atrial fibrillation treated with non-vitamin K antagonist oral anticoagulants

Objective: To assess long-term healthcare costs related to ischemic stroke and systemic embolism (stroke/SE) and major bleeding (MB) events in patients with non-valvular atrial fibrillation (NVAF) treated with non-vitamin K antagonist oral anticoagulants (NOACs).

Materials and methods: Optum’s Clinformatics Data Mart database from 1/2009–12/2016 was analyzed. Adult patients with ≥1 stroke/SE hospitalization (index date) were matched 1:1 to patients without stroke/SE (random index date), based on propensity scores. Patients with an MB event were matched to patients without MB. All patients had an NOAC dispensing overlapping index date, ≥12?months of eligibility pre-index date, and ≥1 NVAF diagnosis. The observation period spanned from the index date until the earliest date of death, switch to warfarin, end of insurance coverage, or end of data availability. Mean costs were evaluated: (1) per-patient-per-year (PPPY) and (2) at 1, 2, 3, and 4?years using Lin's method.

Results: The cost differences were, respectively, $48,807 and $28,298 PPPY for NOAC users with stroke/SE (n?=?1,340) and those with MB (n?=?3,774) events compared to controls. Cost differences of patients with vs without stroke/SE were $49,876, $51,627, $57,822, and $60,691 at 1, 2, 3, and 4?years post-index, respectively (p?p?Limitations: Limitations include unobserved confounders, coding and/or billing inaccuracies, limited sample sizes over longer follow-up, and the under-reporting of mortality for deaths occurring after 2011.

Conclusions: The incremental healthcare costs incurred by patients with vs without stroke/SE was nearly twice as high as those of patients with vs without MB. Moreover, each additional year up to 4?years after the first event was associated with an incremental cost for patients with a stroke/SE or MB event compared to those without an event.     

Healthcare costs for Crohn’s disease patients treated with infliximab: a propensity weighted comparison of the effects of treatment adherence

Objective:

The objective for the research was to evaluate the direct healthcare costs for Crohn’s disease (CD) patients categorized by adherence status.

Methods:

Adult patients with ≥1 claim for infliximab and ≥2 claims for CD who were continuously insured for 12 months before and after their first infliximab infusion (index date) were identified in a 2006–2009 US managed care database. Patients were excluded if they had rheumatoid arthritis claims, received infliximab billed as a pharmacy benefit, or received another biologic drug. Patients were categorized as being either adherent or intermittently adherent to infliximab using a pre-defined algorithm. Total and component direct costs, CD-related costs, rates of surgery, and days of hospitalization were estimated for the 360-day post-index period. Propensity weighted generalized linear models were used to adjust the cost estimates for potential confounding variables.

Results:

The total propensity weighted cost for infliximab adherent patients was $40,425 (95% CI?=?[$38,686, $42,242]), compared to $41,082 (95% CI?=?[$38,163, $44,223]) for the intermittently adherent (p?=?0.71). However, adherent patients had lower total direct medical costs, exclusive of infliximab, that were $13,097 (95% CI?=?[$12,141, $14,127]) compared with $20,068 (95% CI?=?[$17,676, $22,784]) for intermittently adherent patients as a result of substantially lower hospital and outpatient costs (p?Conclusions:

Greater drug-related costs for infliximab adherent patients were offset by lower costs from hospitalization and outpatient visits. These findings indicate that adherent patients have improved clinical outcomes, at a similar aggregate cost, than patients who are only intermittently adherent to therapy.     

Comorbidity and economic burden among moderate-to-severe psoriasis and/or psoriatic arthritis patients in the US Department of Defense population

Aims: To examine the comorbidity and economic burden among moderate-to-severe psoriasis (PsO) and/or psoriatic arthritis (PsA) patients in the US Department of Defense (DoD) population.

Materials and methods: This retrospective cohort claims analysis was conducted using DoD data from November 2010 to October 2015. Adult patients with ≥2 diagnoses of PsO and/or PsA (cases) were identified, and the first diagnosis date from November 2011 to October 2014 was defined as the index date. Patients were considered moderate-to-severe if they had ≥1 non-topical systemic therapy or phototherapy during the 12 months pre- or 1 month post-index date. Patients without a PsO/PsA diagnosis during the study period (controls) were matched to cases on a 10:1 ratio based on age, sex, region, and index year; the index date was randomly selected. One-to-one propensity score matching (PSM) was conducted to compare study outcomes in the first year post-index date, including healthcare resource utilization (HRU), costs, and comorbidity incidence.

Results: A total of 7,249 cases and 72,490 controls were identified. The mean age was 48.1 years. After PSM, comorbidity incidence was higher among cases, namely dyslipidemia (18.3% vs 13.5%, p?<?.001), hypertension (13.8% vs 8.7%, p?<?.001), and obesity (8.8% vs 6.1%, p?<?.001). Case patients had significantly higher HRU and costs, including inpatient ($2,196 vs $1,642; p?<?.0016), ambulatory ($8,804 vs 4,642; p?<?.001), emergency room ($432 vs $350; p?<?.001), pharmacy ($6,878 vs $1,160; p?<?.001), and total healthcare costs ($18,311 vs $7,795; p?<?.001).

Limitations: Claims data are collected for payment purposes; therefore, such data may have limitations for clinical research.

Conclusions: During follow-up, DoD patients with moderate-to-severe PsO and/or PsA experienced significantly higher HRU, cost, and comorbidity burden.     

Real-world treatment patterns and healthcare costs among biologic-naive patients initiating apremilast or biologics for the treatment of psoriasis

Objective: This study compared real-world treatment patterns and healthcare costs among biologic-naive psoriasis patients initiating apremilast or biologics.

Methods: A retrospective cohort study was conducted using the Optum Clinformatics? claims database. Patients with psoriasis were selected if they had initiated apremilast or biologics between January 1, 2014, and December 31, 2015; had 12?months of pre-index and post-index continuous enrollment in the database; and were biologic-naive. The index date was defined as the date of the first claim for apremilast or biologic, and occurred between January 1, 2014, and December 31, 2015. Treatment persistence was defined as continuous treatment without a?>?60-day gap in therapy (discontinuation) or a switch to a different psoriasis treatment during the 12-month post-index period. Adherence was defined as a medication possession ratio (MPR) of ≥ 80% while persistent on the index treatment. Persistence-based MPR was defined as the number of days with the medication on hand measured during the patients’ period of treatment persistence divided by the duration of the period of treatment persistence. Because patients were not randomized, apremilast patients were propensity score matched up to 1:2 to biologic patients to adjust for possible selection bias. Treatment persistence/adherence and all-cause healthcare costs were evaluated. Cost differences were determined using Wilcoxon rank-sum tests.

Results: In all, 343 biologic-naive patients initiating apremilast were matched to 680 biologic-naive patients initiating biologics. After matching, patient characteristics were similar between cohorts. Twelve-month treatment persistence was similar for biologic-naive patients initiating apremilast vs biologics (32.1% vs 33.2%; p?=?0.7079). While persistent on therapy up to 12?months, per-patient per-month (PPPM) total healthcare costs were significantly lower among biologic-naive cohorts initiating apremilast vs biologics ($2,214 vs $5,184; p?p?p?p?Limitations: Data were limited to individuals with United Healthcare commercial and Medicare Advantage insurance plans, and may not be generalizable to psoriasis patients with other insurance or without health insurance coverage.

Conclusion: Biologic-naive patients with similar patient characteristics receiving apremilast vs biologics had significantly lower PPPM costs, even when they switched to biologics during the 12-month post-index period. These results may be useful to payers and providers seeking to optimize psoriasis care while reducing healthcare costs.     

Economic burden of sarcoidosis in a commercially-insured population in the United States

Background: Sarcoidosis is a multi-system inflammatory disorder characterized by the presence of non-caseating granulomas in involved organs. Patients with sarcoidosis have a reduced quality-of-life and are at an increased risk for several comorbidities. Little is known about the direct and indirect cost of sarcoidosis following the initial diagnosis.

Aims: To provide an estimate of the healthcare resource utilization (HCRU) and costs borne by commercial payers for sarcoidosis patients in the US.

Methods: Patients with a first diagnosis of sarcoidosis between January 1, 1998 and March 31, 2015 (“index date”) were selected from a de-identified privately-insured administrative claims database. Sarcoidosis patients were required to have continuous health plan enrollment 12 months prior to and following their index dates. Propensity-score (1:1) matching of sarcoidosis patients with non-sarcoidosis controls was carried out based on a logistic regression of baseline characteristics. Burden of HCRU and work loss (disability days and medically-related absenteeism) were compared between the matched groups over the 12-month period following the index date (“outcome period”).

Results: A total of 7,119 sarcoidosis patients who met the selection criteria were matched with a control. Overall, commercial payers incurred $19,714 in mean total annual healthcare costs per sarcoidosis patient. The principle cost drivers were outpatient visits ($9,050 2015 USD, 46%) and inpatient admissions ($6,398, 32%). Relative to controls, sarcoidosis patients had $5,190 (36%) higher total healthcare costs ($19,714 vs $14,524; p?p?p?Background: Sarcoidosis is a multi-system inflammatory disorder characterized by the presence of non-caseating granulomas in involved organs. Patients with sarcoidosis have a reduced quality-of-life and are at an increased risk for several comorbidities. Little is known about the direct and indirect cost of sarcoidosis following the initial diagnosis.

Aims: To provide an estimate of the healthcare resource utilization (HCRU) and costs borne by commercial payers for sarcoidosis patients in the US.

Methods: Patients with a first diagnosis of sarcoidosis between January 1, 1998 and March 31, 2015 (“index date”) were selected from a de-identified privately-insured administrative claims database. Sarcoidosis patients were required to have continuous health plan enrollment 12 months prior to and following their index dates. Propensity-score (1:1) matching of sarcoidosis patients with non-sarcoidosis controls was carried out based on a logistic regression of baseline characteristics. Burden of HCRU and work loss (disability days and medically-related absenteeism) were compared between the matched groups over the 12-month period following the index date (“outcome period”).

Results: A total of 7,119 sarcoidosis patients who met the selection criteria were matched with a control. Overall, commercial payers incurred $19,714 in mean total annual healthcare costs per sarcoidosis patient. The principle cost drivers were outpatient visits ($9,050 2015 USD, 46%) and inpatient admissions ($6,398, 32%). Relative to controls, sarcoidosis patients had $5,190 (36%) higher total healthcare costs ($19,714 vs $14,524; p?<?0.001). Sarcoidosis patients also had significantly more work loss days (15.9 vs 11.3; p?<?0.001) and work loss costs ($3,288 vs $2,527; p?<?0.001) than matched controls. Sarcoidosis imposes an estimated total direct medical cost of $1.3–$8.7 billion to commercial payers, and an indirect cost of $0.2–$1.5 billion to commercial payers in work loss.

Conclusions: Sarcoidosis imposes a significant economic burden to payers in the first year following diagnosis.     

Healthcare resource utilization and costs by age and joint location among osteoarthritis patients in a privately insured population

Aims: To compare healthcare resource utilization and costs between patients aged 18–64 years with osteoarthritis (OA) and matched controls without OA in a privately insured population.

Methods: Patients with OA were selected from de-identified US-based employer claims (Q1:1999–Q3:2011). The index date was defined as the first OA diagnosis indicated by ICD-9-CM codes. One year before and after the index date were defined as the baseline and study periods, respectively. A second OA diagnosis during the study period was also required. Patients with OA were matched one-to-one on age, gender, index date, and minimum length of follow-up to controls without OA. Baseline characteristics and study period resource utilization and costs (2016 USD) were compared between cohorts.

Results: This study identified 199,539 patients with OA (knee: 87,271, hip: 19,953, hand: 15,670, spine: 12,496). The average age was 54 years, and 58% were female. OA patients had higher healthcare resource utilization than matched controls in inpatient, emergency room, and outpatient settings (p?p?Limitations: This sample, obtained using claims data, only includes patients who were actively seeking care for OA and were likely symptomatic. Asymptomatic patients would likely not be captured in this analysis.

Conclusions: Patients with OA incur greater healthcare resource utilization and costs than patients without OA, with substantial variation by joint location.     

Healthcare costs in psoriasis and psoriasis sub-groups over time following psoriasis diagnosis

Aims: To quantify healthcare costs in patients with psoriasis overall and in psoriasis patient sub-groups, by level of disease severity, presence or absence of psoriatic arthritis, or use of biologics.

Methods: Administrative data from Truven Health Analytics MarketScan Research Database were used to select adult patients with psoriasis from January 2009 to January 2014. The first psoriasis diagnosis was set as the index date. Patients were required to have ≥6 months of continuous enrollment with medical and pharmacy benefits pre-index and ≥12 months post-index. Patients were followed from index until the earliest of loss to follow-up or study end. All-cause healthcare costs and outpatient pharmacy costs were calculated for the overall psoriasis cohort and for the six different psoriasis patient sub-groups: (a) patients with moderate-to-severe disease and mild disease, (b) patients with psoriatic arthritis and those without, and (c) patients on biologics and those who are not. Costs are presented per-patient-per-year (PPPY) and by years 1, 2, 3, 4, and 5 of follow-up, expressed in 2014?US dollars.

Results: A total of 108,790 psoriasis patients were selected, with a mean age of 46.0 years (52.7% females). Average follow-up was 962 days. All-cause healthcare costs were $12,523 PPPY. Outpatient pharmacy costs accounted for 38.6% of total costs. All-cause healthcare costs were highest for patients on biologics ($29,832), then for patients with psoriatic arthritis ($23,427) and those with moderate-to-severe disease ($21,481). Overall, all-cause healthcare costs and outpatient pharmacy costs presented an upward trend over a 5-year period.

Conclusions: Psoriasis is associated with significant economic burden, which increases over time as the disease progresses. Patients with moderate-to-severe psoriasis, those with psoriatic arthritis, or use of biologics contributes to higher healthcare costs. Psoriasis-related pharmacy expenditure is the largest driver of healthcare costs in patients with psoriasis.     

The economic burden of psoriasis with high comorbidity among privately insured patients in the United States

Objective: To evaluate the impact of comorbidities on healthcare resource use (HRU), and direct and indirect work-loss-related costs in psoriasis patients.

Methods: Adults with psoriasis (≥2 diagnoses, the first designated as the index date) and non-psoriasis controls (no psoriasis diagnoses, randomly generated index date) were identified in a US healthcare claims database of privately-insured patients (data between January 2010 and March 2017 were used). Psoriasis patients were stratified based on the number of psoriasis-related comorbidities (0, 1–2, or ≥3) developed during the 12?months post-index. All outcomes were evaluated during the follow-up period, spanning the index date until the end of continuous health plan eligibility or data cut-off. HRU and costs per-patient-per-year (PPPY) were compared in psoriasis and non-psoriasis patients with ≥12?months of follow-up.

Results: A total of 9,078 psoriasis (mean age?=?44?years, 51% female) and 48,704 non-psoriasis (mean age?=?41?years, 50% female) patients were selected. During the 12?months post-index, among psoriasis vs non-psoriasis patients, 71.0% vs 83.0% developed no psoriasis-related comorbidities, 26.3% vs 16.0% developed 1–2, and 2.6% vs 1.0% developed ≥3 psoriasis-related comorbidities. Compared to non-psoriasis patients, psoriasis patients had more HRU including outpatient visits (incidence rate ratios [IRRs]?=?1.52, 2.03, and 2.66 for 0, 1–2, and ≥3 comorbidities, respectively [all p?p?p?p?Conclusions: HRU and cost burden of psoriasis are substantial, and increase with the development of psoriasis-related comorbidities.     

Economic burden of selected adverse events in patients aged ≥65 years with metastatic renal cell carcinoma

Abstract

Objective:

To estimate the costs of adverse events (AEs) in patients aged ≥65 years with metastatic renal cell carcinoma (mRCC).

Methods:

Retrospective study using the linked Surveillance, Epidemiology and End Results (SEER) Medicare database. Study subjects consisted of persons in SEER-Medicare, aged ≥65 years, with evidence of newly diagnosed mRCC between January 1, 2007 and December 31, 2007. Adverse events of interest consisted of Grade 3 or 4 toxicities that have been reported with frequency ≥5% in randomized controlled trials of sunitinib, sorafenib, bevacizumab, and pazopanib (i.e., targeted therapies for mRCC), and included abdominal pain, back pain, diarrhea, dyspnea, extremity pain, fatigue/asthenia, hand-foot syndrome, hypertension, lymphopenia, nausea/vomiting, neutropenia, proteinuria, and thrombocytopenia. Patients in SEER-Medicare with these events were identified based on ICD-9-CM diagnosis codes on Medicare claims. For each AE of interest, costs were tallied among evented patients over 30 days, beginning with the date of each patient’s first mention of the AE, and were compared with those of non-evented patients over a similar 30-day period beginning with an identical ‘shadow’ index date. Total costs were compared on an unadjusted basis and with adjustment for differences in baseline characteristics using a generalized linear model.

Results:

A total of 881 patients with mRCC met study entry criteria; 60% of these patients had Medicare claims with mention of one or more AEs of interest. Events occurring with frequency >20% included abdominal pain, dyspnea, and fatigue/asthenia; 10–20% of study subjects had encounters for back pain, extremity pain, and nausea/vomiting. Mean (standard deviation) total cost of care over 30 days was substantially higher among patients with AEs ($13,944 [$14,529]) compared with those without mention of these events ($1878 [$5264]). Adjusting for differences in baseline characteristics, the mean (95% confidence interval) difference in costs between evented and non-evented patients was $12,410 ($9217–$16,522). Study limitations include problems in event ascertainment due to inaccuracies in ICD-9-CM coding on Medicare claims data, and restriction of the study population to patients with metastatic involvement at initial diagnosis of RCC.

Conclusions:

Costs of care are substantially higher in patients aged ≥65 years with mRCC who experience AEs commonly associated with sunitinib, sorafenib, bevacizumab, and pazopanib. Efforts to prevent and/or better manage these events potentially can reduce healthcare costs.     

Resource utilization and healthcare costs for acute coronary syndrome patients with and without diabetes mellitus

Abstract

Objective:

This study compared differences in healthcare costs and resource utilization for acute coronary syndrome (ACS) patients with and without diabetes mellitus (DM).

Methods:

A retrospective cohort study of a large, US employer-based claims database identified adults hospitalized for ACS between 01/01/2005 and 12/31/2006 and categorized them based on DM status. Resource utilization and costs during the index hospitalization and in the 12-month follow-up period were compared for ACS patients with and without DM using the propensity score stratification bootstrapping method, adjusting for differences in demographic and clinical characteristics.

Results:

Of 12,502 patients who met selection criteria, 3,040 (24%) had a history of DM and 9,462 (76%) did not. Patients with DM were older, female, and had higher rates of previous cardiovascular and renal diseases. After the propensity score stratification, patients with DM incurred higher index hospitalization costs ($32,577 vs. $29,150, p?<?0.01) as well as higher total follow-up healthcare costs ($35,400 vs. $24,080, p?<?0.01), including higher inpatient ($17,278 vs. $11,247, p?<?0.01), outpatient ($12,357 vs. $8,853, p?<?0.01), and pharmacy costs ($5,765 vs. $3,980, p?<?0.01).

Limitations:

General limitations exist with any retrospective claims database analysis including potential diagnostic or procedural coding inaccuracies. Additionally, the patient population was representative of a working-age population with employer-sponsored health insurance and results may not be generalizable to other patient populations.

Conclusions:

DM is significantly associated with increased healthcare resource utilization and costs for ACS patients.     

Trajectory analysis of healthcare costs for patients with major depressive disorder treated with high doses of duloxetine

Abstract

Objective:

To examine healthcare cost patterns prior to and following duloxetine initiation in patients with major depressive disorder (MDD), focusing on patients initiated at or titrated to high doses.

Research design and methods:

Retrospective analysis of 10,987 outpatients, aged 18–64 years, who were enrolled in health insurance for 6 months preceding and 12 months following duloxetine initiation.

Outcome measures:

Repeated measures and pre–post analyses were used to examine healthcare cost trajectories before and after initiation of low- (<60?mg/day), standard- (60?mg/day), and high-dose (>60?mg/day) duloxetine therapy. Decision tree analysis was used to identify patient characteristics that might explain heterogeneity in economic outcomes following titration to high-dose therapy.

Results:

Low-, standard-, and high-dose duloxetine were initiated for 29.6%, 60.9%, and 9.5% of patients, respectively. Within 6 months, 13.7% of patients had dose increases to >?60?mg/day. Regardless of dose, total costs increased prior to and decreased following initiation of treatment. The High Initial Dose Cohort had higher costs both prior to and throughout treatment compared to the other two cohorts. Following escalation to >?60?mg/day, higher medication costs were balanced by lower inpatient costs. Titration to high-dose therapy was cost-beneficial for patients with histories of a mental disorder in addition to MDD and higher prior medical costs.

Limitations:

Conclusions are limited by a lack of supporting clinical information and may not apply to patients who are not privately insured.

Conclusions:

In data taken from insured patients with MDD who were started on duloxetine in a clinical setting, healthcare costs increased prior to and decreased following initiation of therapy. Compared to patients initiated at low- and standard-doses, costs were greater prior to and following initiation for patients initiated at high doses. Increases in pharmacy costs associated with escalation to high-dose therapy were offset by reduced inpatient expenses.