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.     

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 skeletal-related events in patients with multiple myeloma: analysis of US commercial claims database

Aims: To estimate incremental healthcare resource utilization (HRU) and costs associated with skeletal-related events (SREs) secondary to multiple myeloma (MM), and HRU and cost differences in patients with one vs multiple SREs.

Methods: Adults with MM diagnosis between January 1, 2010–December 31, 2014, with benefits coverage ≥12 months pre- and ≥6 months post-diagnosis were followed to last coverage date or December 31, 2015, excluding patients with prior anti-myeloma treatment or cancers. SREs were identified by diagnosis or procedure codes (pathological fracture, spinal cord compression, radiation, or surgery to the bone). SRE patients (index?=?first post-diagnosis SRE) were propensity score matched 1:1 to patients without SRE (assigned pseudo-index) using baseline characteristics, and ≥1 month of continuous enrollment after index/pseudo-index date was required. Per-patient-per year (PPPY) HRU and costs (2016?US$) were determined for inpatient, outpatient, emergency department (ED), and outpatient pharmacy services during follow-up. Wilcoxon signed rank for means and McNemar’s tests for proportions were used to assess differences. Negative binomial regression and generalized linear regression analyses estimated differences in HRU and costs, respectively, for the comparison of single vs multiple SREs.

Results: Each cohort included 848 patients (mean age?=?61 – 62 years, 57% male) with no significant differences in pre-index demographic or clinical characteristics between matched cohorts. Versus non-SRE patients, SRE patients had significantly higher PPPY use (p?<?.0001) of inpatient hospitalizations, ED visits, outpatient pharmacy, and higher direct medical costs ($188,723 vs $108,160, p?<?.0001). Adjusted PPPY total costs were $209,820 in patients with multiple SREs; $159,797 in patients with one SRE.

Limitations: SRE misclassification and residual confounding are possible.

Conclusions: Among patients with MM, average annual costs were substantially higher in patients with SRE compared with matched non-SRE patients. The economic burden of SRE increased further with multiple events.     

Healthcare resource utilization and costs associated with venous thromboembolism recurrence in patients with cancer

Abstract

Objective: Patients with cancer are at high risk for developing primary but also recurrent venous thromboembolism (VTE). This study examined healthcare utilization (HRU) and costs related to VTE recurrence among cancer patients.

Methods: Medical and pharmacy claims from the Humana Database were used to compare HRU (outpatient visits, emergency room visits, hospitalizations, and hospitalization days) and healthcare costs among cancer patients with a single VTE event (between 01/2013 and 06/2015) and those with recurrent VTE during the follow-up period (from initiation of anticoagulant therapy until end of eligibility or data availability). All-cause and VTE-related HRU and costs were evaluated using Poisson regression, and healthcare costs were compared using mean differences reported as per-patient-per-year (PPPY).

Results: Of 2,428 newly diagnosed cancer patients who developed VTE, 413 (17.1%) experienced recurrent VTE during the follow-up period (mean = 9 months). Patients with recurrent VTE had higher all-cause and VTE-related HRU and costs compared to those without recurrence. Patients with recurrent VTE also had over 3.19-times more VTE-related hospitalizations (RR [95% CI]?=?3.19 [2.93–3.47]), and 3.88-times more VTE-related hospitalization days (RR [95% CI]?=?3.88 [3.74–4.02]) than patients without a VTE recurrence. Total VTE-related healthcare costs were $39,641 PPPY among patients with recurrent VTE, $29,142 higher compared to those without recurrence ($10,499 PPPY). This difference was mainly driven by hospitalization costs.

Conclusion: Recurrent VTE among cancer patients is associated with significant HRU and healthcare costs, notably hospitalizations. Strategies to reduce VTE recurrence in patients with cancer can contribute to reducing healthcare cost.     

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.     

The association of pain interference and opioid use with healthcare utilization and costs,and wage loss among adults with osteoarthritis in the United States

Abstract

Aim: To examine associations of opioid use and pain interference with activities (PIA), healthcare resource utilization (HRU) and costs, and wage loss in noninstitutionalized adults with osteoarthritis in the United States (US).

Methods: Adults with osteoarthritis identified from the Medical Expenditure Panel Survey for 2011/2013/2015 were stratified by no-opioid use with no/mild PIA, no-opioid use with moderate/severe PIA, opioid use with no/mild PIA, and opioid use with moderate/severe PIA. Outcomes included annualized total HRU, direct healthcare costs, and wage loss. Multivariable regression analyses were used for comparisons versus no-opioid use with no/mild PIA (referent). The counterfactual recycled prediction method estimated incremental costs. Results reflect weighted nationally representative data.

Results: Of 4,921 participants (weighted n?=?20,785,007), 46.5% had no-opioid use with no/mild PIA; 23.2% had no-opioid use with moderate/severe PIA; 9.6% had opioid use with no/mild PIA; and 20.7% had opioid use with moderate/severe PIA. Moderate/severe PIA and/or opioid use were associated with significantly higher HRU and associated costs, and wage loss. Relative to adults with no/mild PIA, opioid users with moderate/severe PIA were more likely to have hospitalizations, specialist visits, and emergency room visits (all p?<?.001). Relative to the referent, opioid use with no/mild PIA had higher per-patient incremental annual total healthcare costs ($11,672, 95% confidence interval [CI]?=?$11,435–$11,909) and wage loss ($1,395, 95% CI?=?$1,376–$1,414) as did opioid use with moderate/severe PIA ($13,595, 95% CI?=?$13,319–$13,871; and $2,331, 95% CI?=?$2,298–$2,363) (all p?<?.001). Compared with the referent, estimated excess national total healthcare costs/lost wages were $23.3 billion/$1.3 billion for opioid use with no/mild PIA, and $58.5 billion/$2.2 billion for opioid use with moderate/severe PIA.

Limitations: Unobservable/unmeasured factors that could not be accounted for.

Conclusions: Opioid use with moderate/severe PIA had significantly higher HRU, costs, and wage loss; opioid use was more relevant than PIA to the economic burden. These results suggest unmet needs for alternative pain management strategies.     

Comparison of medical costs and healthcare resource utilization of post-menopausal women with HR+/HER2− metastatic breast cancer receiving everolimus-based therapy or chemotherapy: a retrospective claims database analysis

Objective:

To analyze medical costs and healthcare resource utilization (HRU) associated with everolimus-based therapy or chemotherapy among post-menopausal women with hormone-receptor-positive, human-epidermal-growth-factor-receptor-2-negative (HR+/HER2?) metastatic breast cancer (mBC).

Methods:

Patients with HR+/HER2? mBC who discontinued a non-steroidal aromatase inhibitor and began a new line of treatment with everolimus-based therapy or chemotherapy (index therapy/index date) between July 20, 2012 and April 30, 2014 were identified from two large claims databases. All-cause, BC-related, and adverse event (AE)-related medical costs (in 2014 USD) and all-cause HRU per patient per month (PPPM) were analyzed for both treatment groups across patients’ first four lines of therapies for mBC. Adjusted differences in costs and HRU between the everolimus and chemotherapy treatment group were estimated pooling all lines and using multivariable generalized linear models, accounting for difference in patient characteristics.

Results:

A total of 3298 patients were included: 902 everolimus-treated patients and 2636 chemotherapy-treated patients. Compared to chemotherapy, everolimus was associated with significantly lower all-cause (adjusted mean difference?=?$3455, p?<?0.01) and BC-related ($2510, p?<?0.01) total medical costs, with inpatient ($1344, p?<?0.01) and outpatient costs ($1048, p?<?0.01) as the main drivers for cost differences. Everolimus was also associated with significantly lower AE-related medical costs ($1730, p?<?0.01), as well as significantly lower HRU (emergency room incidence rate ratio [IRR]?=?0.83; inpatient IRR?=?0.74; inpatient days IRR?=?0.65; outpatient IRR?=?0.71; BC-related outpatient IRR?=?0.57; all p?<?0.01).

Conclusions:

This retrospective claims database analysis of commercially-insured patients with HR+/HER2? mBC in the US showed that everolimus was associated with substantial all-cause, BC-related, and AE-related medical cost savings and less utilization of healthcare resources relative to chemotherapy.     

Medical costs in the US of clinical events associated with oral anticoagulant (OAC) use compared to warfarin among non-valvular atrial fibrillation patients ≥75 and <75 years of age,based on the ARISTOTLE,RE-LY,and ROCKET-AF trials

Abstract

Objectives:

Based on clinical trials the oral anticoagulants (OACs) apixaban, dabigatran, and rivaroxaban are efficacious for reducing stroke risk for non-valvular atrial fibrillation (NVAF) patients. Based on the clinical trials, this study evaluated the medical costs for clinical events among NVAF patients ≥75 and <75 years of age treated with individual OACs vs warfarin.

Methods:

Rates for primary and secondary efficacy and safety outcomes (i.e., clinical events) among NVAF patients receiving warfarin or each of the OACs were determined for NVAF populations aged ≥75 years and <75 years of age from the OAC vs warfarin trials. One-year incremental costs among patients with clinical events were obtained from published literature and inflation adjusted to 2010 costs. Medical costs, excluding medication costs, for clinical events associated with each OAC and warfarin were then estimated and compared.

Results:

Among NVAF patients aged ≥75, compared to warfarin, use of either apixaban or rivaroxaban was associated with a reduction in medical costs per patient year (apixaban?=??$825, rivaroxaban?=?$23), while dabigatran use was associated with increased medical costs of $180 per patient year. Among NVAF patients <75 years of age medical costs per patient year were estimated to be reduced ?$254, ?$367, and ?$88, for apixaban, dabigatran, and rivaroxaban, respectively, in comparison to warfarin.

Limitations:

This economic analysis was based on clinical trial data and, therefore, the direct application of the results to routine clinical practice will require further assessment.

Conclusions:

Difference in medical costs between OAC and warfarin treated NVAF patients vary by age group and individual OACs. Although reductions in medical costs for NVAF patients aged ≥75 and <75 were observed for those using either apixaban or rivaroxaban vs warfarin, the reductions were greater per patient year for both the older and younger NVAF populations using apixaban.     

Healthcare utilization and costs among relapsed or refractory multiple myeloma patients on carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone

Aim: To compare monthly healthcare resource utilization (HRU) and costs among adult patients with multiple myeloma (MM) receiving second or subsequent line of treatment (LOT) with carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.

Methods and materials: Adult MM patients who received carfilzomib or pomalidomide as second/subsequent LOT between 2006 and 2014 were selected from the MarketScan databases. LOT was determined using Medical/pharmacy claims using a published algorithm. For each patient, first LOT with carfilzomib or pomalidomide was defined as index LOT. Patients with first LOT as index LOT, who received other chemotherapy in combination with carfilzomib or pomalidomide, or who underwent stem cell transplant (STC) during index LOT were excluded. Monthly HRU and costs during index LOT were compared using inverse probability of treatment weights (IPTW) based on propensity scores for receipt of carfilzomib estimated by logistic regression with LOT, patient demographics, Charlson index, comorbidities, pre-index healthcare cost, and receipt of prior SCT as covariates.

Results: After weighting, baseline characteristics were well balanced among 114 carfilzomib and 144 pomalidomide patients. Mean (95% CI) numbers of outpatient visits per month were 7.1 (5.2–8.0) with carfilzomib and 4.7 (3.9–6.1) with pomalidomide (p?=?0.006). Otherwise, there were no statistically significant differences between the groups in mean monthly HRU and costs or median time to therapy discontinuation. Mean (95% CI) monthly total healthcare costs were $19,776 (15,322–27,748) with pomalidomide and $17,321 (12,412–21,874) with carfilzomib (p?=?0.522).

Limitations: Comparison of carfilzomib vs pomalidomide may be biased if there are unobserved factors not balanced by IPTW. The relatively small sample size limits the power of analyses to detect potential differences between treatment groups.

Conclusions: Monthly HRU and costs are similar among patients with relapse or refractory MM patients receiving carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.     

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.     

Healthcare utilization and costs among chronic bronchitis patients treated with maintenance medications from a US managed care population

Abstract

Objectives:

This study aimed to examine the real-world healthcare resource utilization (HCRU) and direct costs among chronic bronchitis (CB) patients treated with chronic obstructive pulmonary disease (COPD) maintenance medications.

Methods:

This retrospective analysis utilized administrative claims data from 14 US commercial managed care plans. Eligible patients were ≥40 years old, had ≥2 years of continuous enrollment, ≥1 CB (ICD-9-CM code 491.xx) hospitalization or emergency department (ED) visit or ≥2 office visits between 1/1/2004 and 5/31/2011, and had ≥2 pharmacy fills for COPD medications during follow-up (first fill served as the index date). All-cause and COPD-related HCRU and costs were assessed during follow-up. Multivariate models were utilized to identify predictors of total costs.

Results:

Treated CB patients (n?=?17,382; 50.6% female; mean age 66.7 (SD?=?11.4) years) had a mean of 7.6 (SD?=?6.3) COPD maintenance medication fills during follow-up. Overall, 32.6% of patients had ≥1 COPD-related inpatient hospitalizations, 12.9% had ≥1 ED visit, and 81.8% had ≥1 office visit. Mean all-cause and COPD-related total costs were $25,747 (SD?=?$51,105) and $12,609 (SD?=?$36,801), respectively, during follow-up. Among the sub-group with ≥1 exacerbation during baseline year, 42.3% had ≥1 COPD-related inpatient hospitalization, 18.5% had ≥1 ED visit, and 88.2% had ≥1 office visit. Mean follow-up all-cause and COPD-related total costs were $29,861 (SD?=?$49,799) and $16,784 (SD?=?$34,170), respectively. The number of baseline exacerbations was a significant predictor of all-cause and COPD-related total costs during follow-up.

Limitations:

This study lacked standard measures of CB severity; however, severity proxies were utilized.

Conclusion:

HCRU and costs among CB patients were substantial during follow-up, despite treatment with COPD maintenance medications. Additional interventions aiming to prevent or reduce HCRU and costs among CB patients warrant exploration.     

Comparison of utilization,cost, adherence,and hypoglycemia in patients with type 2 diabetes initiating rapid-acting insulin analog with prefilled pen versus vial/syringe

Abstract

Background:

Studies examining outcomes of different insulin delivery systems are limited. The objective of this study was to compare healthcare utilization, costs, adherence, and hypoglycemia rates in patients with type 2 diabetes mellitus (T2DM) initiating rapid-acting insulin analog (RAIA) using prefilled pen versus vial/syringe.

Methods:

A retrospective analysis was conducted using a US claims database (1/1/2007 to 12/31/2008). Inclusion criteria were: ≥18 years old, with T2DM, ≥12 months of continuous eligibility, and new to RAIA. Difference-in-difference analyses after propensity score matching were conducted to compare changes in outcomes from 6 months prior to and 6 months after initiating RAIA with a prefilled pen versus vial/syringe (Wilcoxon rank-sum test for costs and t-test for other outcomes). Categories of utilization and costs (2009 USD) included total and diabetes-related inpatient, outpatient, and emergency room. Adherence was measured by proportion of days covered (PDC). Hypoglycemia was identified using ICD-9-CM codes.

Results:

Baseline characteristics were similar between the prefilled pen (n?=?239) and vial/syringe (n?=?590) cohorts after matching. Adherence to RAIA was greater in the prefilled pen cohort than the vial/syringe cohort (PDC: 54.6 vs. 45.2%, p?<?0.001). While the increase in diabetes-related pharmacy costs from before to after initiating RAIA was greater in the prefilled pen cohort than the vial/syringe cohort (+$900 vs. +$607, p?<?0.001), the prefilled pen cohort was associated with greater reductions in the total diabetes-related costs (–$235 vs. +$61, p?=?0.006) and the utilization of oral anti-hyperglycemic agents (–1.3 vs. –0.7, p?=?0.016). There were no significant differences in other outcomes.

Limitations:

Claims databases do not provide optimal measures for adherence or T2DM severity, and only capture hypoglycemia events requiring clinical intervention.

Conclusion:

Initiating RAIA with a prefilled pen was associated with better adherence and greater reduction in total diabetes-related costs than a vial/syringe. There was no significant difference in total healthcare costs.     

Healthcare resource utilization and costs in patients with newly diagnosed acute myeloid leukemia

Abstract

Aim: Acute myeloid leukemia (AML) is associated with high disease burden. This analysis estimated HRU and costs among newly diagnosed AML patients in a US commercially insured population.

Materials and methods: This was a retrospective observational study using the IMS Health PharMetrics Plus and Hospital Charge Detail Master databases. Patients included adults who were newly diagnosed with AML between January 2007 and June 2016 (“study period”). Patients with <12 months of continuous enrollment prior to the index date were excluded, as were those whose first diagnosis was AML in remission/relapse, those diagnosed with acute promyelocytic leukemia, those on Medicare supplemental insurance, or those with a diagnosis of AML in remission/relapse without evidence of treatment during the study period. Patients were stratified by receipt of AML treatment (chemotherapy/hematopoietic cell transplantation [HCT]), and their follow-up was partitioned into initial, remission, and relapsed health states. Mean HRU and costs were tallied by treatment and, for treated patients, by health state and time since entry into health state (≤6 vs >6 months).

Results: A total of 9,455 patients met study criteria, including 6,415 (68%) treated and 3,040 (32%) untreated patients, with mean follow-up of 18.3 and 16.4 months, respectively. Mean age was 55 years in treated patients and 60 years in untreated patients. Mean total costs per patient were $386,077 in treated patients and $79,382 in untreated patients. For treated patients, 60% of total costs ($231,867 per patient) were incurred during the initial health state, representing time without remission/relapse. Mean monthly total healthcare costs were $21,055 and $4,854 among treated and untreated patients, respectively.

Limitations and conclusions: HRU and costs of managing AML patients are substantial. In treated patients, the majority of costs were incurred during the initial treatment period, without claims indicating remission/relapse.     

Predictors of high healthcare resource utilization and liver disease progression among patients with chronic hepatitis C

Background:

Since hepatitis C virus therapy is typically prioritized for patients with more advanced disease, predicting which patients will progress could help direct scarce resources to those likely to benefit most. This study aims to identify demographics and clinical characteristics associated with high healthcare resource utilization (HRU) and liver disease progression among CHC patients.

Methods:

Using health insurance claims (January 2001–March 2013), adult patients with ≥2 CHC claims (ICD-9-CM: 070.44 or 070.54), and ≥6 months of continuous insurance coverage before and ≥36 months after the first CHC diagnosis were included. Patients with human immunodeficiency virus were excluded. Generalized estimating equations were used to identify the demographic and clinical characteristics of being in the 20% of patients with the highest HRU. Factors predicting liver disease progression were also identified.

Results:

In the study population (n?=?4898), liver disease severity and both CHC- and non–CHC-related comorbidities and conditions were strong predictors of high healthcare costs, with odds ratios (ORs; 95% confidence interval [CI]) for ≥2 CHC-related and ≥2 non-CHC-related comorbidities/conditions of 2.78 (2.48–3.12) and 2.19 (1.76–2.72), respectively. CHC- and non-CHC-related comorbidities and conditions were also strong predictors of liver disease progression with ORs (95% CI) for ≥2 CHC-related and ≥2 non-CHC-related comorbidities and conditions of 2.18 (1.83–2.60) and 1.50 (1.14–1.97), respectively.

Limitations:

Potential inaccuracies in claims data, information or classification bias, and findings based on a privately insured population.

Conclusion:

This study suggests that CHC patients with high healthcare resource utilization have a high level of comorbidity at baseline and also that non-CHC comorbidities and conditions are strong predictors of high HRU. Non-cirrhotic CHC patients with one or more comorbidities are at high risk of progressing to cirrhosis or end-stage liver disease.