Indirect costs associated with metastatic breast cancer

Abstract

Objective:

To compare the indirect costs of productivity loss between metastatic breast cancer (MBC) and early stage breast cancer (EBC) patients, as well as their respective family members.

Methods:

The MarketScan® Health and Productivity Management database (2005–2009) was used. Adult BC patients eligible for employee benefits of sick leave and/or short-term disability were identified with ICD-9 codes. Difference in sick leave and short-term disability days was calculated between MBC patients and their propensity score matched EBC cohort and general population (controls) during a 12-month follow-up period. Generalized linear models were used to examine the impact of MBC on indirect costs to patients and their families.

Results:

A total of 139 MBC, 432 EBC, and 820 controls were eligible for sick leave and 432 MBC, 1552 EBC, and 4682 controls were eligible for short-term disability (not mutually exclusive). After matching, no statistical difference was found in sick leave days and the associated costs between MBC and EBC cohorts. However, MBC patients had significantly higher short-term disability costs than EBC patients and controls (MBC: $6166?±?$9194 vs EBC: $3690?±?$6673 vs Controls: $558?±?$2487, both p?<?0.001). MBC patients had more sick leave cost than controls ($2383?±?$5539 vs $1282?±?$2083, p?<?0.05). Controlling for covariates, MBC patients incurred 47% more short-term disability costs vs EBC patients (p?=?0.009). Older patients (p?=?0.002), non-HMO payers (p?<?0.05), or patients not receiving chemotherapy during follow-up (p?<?0.001) were associated with lower short-term disability costs. MBC patients’ families incurred 39.7% (p?=?0.06) higher indirect costs compared to EBC patients’ families after controlling for key covariates.

Conclusion:

Productivity loss and associated costs in MBC patients are substantially higher than EBC patients or the general population. These findings underscore the economic burden of MBC from a US societal perspective. Various treatment regimens should be evaluated to identify opportunities to reduce the disease burden from the societal perspective.     

The economic burden of depression among adults with rheumatoid arthritis in the United States

Aims: Depression is the most frequent comorbidity reported among patients with rheumatoid arthritis (RA). Comorbid depression negatively impacts RA patients’ health-related quality-of-life, physical function, mental function, mortality, and experience of pain and symptom severity. The objective of this study was to assess healthcare utilization, expenditures, and work productivity among patients with RA with or without depression.

Materials and methods: Data from adult patients who had at least two visits each related to RA and depression over a 1-year period were extracted from the Truven Health MarketScan research databases. Outcomes comprised healthcare resource utilization, work productivity loss, and direct healthcare costs comparing patients with RA with depression (n?=?3,478) vs patients with RA without depression (n?=?43,222).

Results: Patients with RA and depression had a significantly greater relative risk of hospitalization and number of all-cause and RA-related hospitalizations, utilization of emergency services, days spent in the hospital, physician visits, and RA-related surgeries compared with RA patients without depression. Patients with RA and depression had a higher risk of and experienced more events and days of short-term disability compared with patients without depression. The incremental adjusted annual all-cause and RA-related direct costs were $8,488 (95% CI = $6,793–$10,223) and $578 (95% CI = –$98–$1,243), respectively, when comparing patients with RA and depression vs RA only.

Limitations: The current analysis is subject to the known limitations of retrospective studies based on administrative claims data.

Conclusions: This study suggested increased healthcare utilization, work productivity loss, and economic burden among RA patients due to comorbid depression. These findings emphasize the importance of managing depression and including depression as a factor when devising treatment algorithms for patients with RA.     

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.     

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.     

Impact of neutropenic complications on short-term disability in patients with cancer receiving chemotherapy

Abstract

Objectives: The study examined the impact of chemotherapy-induced neutropenic complications (CINC), defined as neutropenia with fever or infection, on short-term disability (STD) among cancer patients receiving chemotherapy.

Methods: The key outcome metrics were average monthly STD days and associated indirect costs. Patients with and without CINC were propensity score (PS) matched. Multivariate regressions were conducted on PS-matched cohorts to estimate the marginal impact of CINC.

Results: A total of 280 patients with CINC were PS-matched to 280 patients without CINC. Compared with matched patients, patients with CINC on average experienced 0.9 more STD day (3.2 vs. 2.3, p=0.046) and $155 more in indirect costs ($549 vs. 394, p=0.050) per month. After multivariate adjustment, patients with CINC experienced 1.0 more STD day (p=0.029), and incurred $200 more in indirect cost (p=0.016) per month.

Conclusions: Patients with CINC experience significantly greater STD leave than patients with no neutropenic complications from cancer chemotherapy. The overall study sample only included patients from large self-insured employers in the US and may not reflect the work loss experience of all employed patients in the US or other countries. Indirect costs associated with absenteeism and presenteeism were not measured.     

Short-term disability in solid tumor patients with bone metastases and skeletal-related events

Abstract

Objective:

The skeleton is a common site of metastasis in patients with solid tumors. These patients often experience pain and reduced quality-of-life. This analysis evaluated the time and costs associated with short-term disability use among solid tumor patients with bone metastases (BM) and skeletal-related events (SREs).

Methods:

Data from patients 18–64 years old with solid tumors and BM, eligible for short-term disability benefits between January 1, 2002 and December 31, 2010, were extracted from MarketScan Research Databases. Short-term disability hours and costs associated with BM and SREs were evaluated.

Results:

Overall, 1098 patients met the criteria. For all patients with BM, the monthly mean short-term disability hours were 17.7?h pre-BM diagnosis and increased to 60.2?h post-BM diagnosis (p?<?0.001). The corresponding mean monthly short-term disability costs were $277 and $963 in the pre- and post-BM diagnosis periods, respectively (p?<?0.001). Monthly mean short-term disability hours were higher for the cohort of patients with SREs (21.2?h pre-SRE diagnosis and 67.4?h post-SRE diagnosis) than for those without an SRE (8.6?h pre-SRE diagnosis and 14.4?h post-SRE diagnosis) (p?<?0.001). Similarly, the corresponding monthly mean short-term disability costs were higher for patients with SREs ($625 and $1259 pre- and post-SRE diagnosis, respectively) than for patients without an SRE ($452 and $612 pre- and post-SRE diagnosis, respectively) (p?<?0.001). Results of a multivariate analysis indicated that SREs were associated with an additional 39.4 short-term disability hours and $613 in short-term disability costs per month (p?<?0.001).

>Conclusion:

Short-term disability hours and costs increased significantly when patients with solid tumors developed BM and SRE.     

Direct medical costs of treatment in newly-diagnosed high-grade glioma among commercially insured US patients

Aim: This analysis assessed the direct medical costs of newly-diagnosed, temozolomide (TMZ)-treated glioblastoma (GBM) from the perspective of a US commercial setting.

Materials and methods: The analysis included subjects identified from the IMS PharMetrics LifeLink Plus? claims database from January 1, 2008 to August 31, 2014 who were ≥18 years of age, had ≥1 malignant brain cancer diagnosis, had brain surgery ≤90 days prior to TMZ initiation, had TMZ treatment, and were continuously enrolled for ≥12 months pre-diagnosis and ≥1 month post-diagnosis. Per-patient per-month (PPPM) and cumulative costs from 3 months pre-diagnosis to various post-diagnosis follow-up time points were calculated. Multivariable analyses were used to estimate adjusted mean cost and identify contributors of cost.

Results: The study included 2,921 subjects (median age?=?56 years; 60% male). After diagnosis, the median (interquartile range, IQR) number of inpatient, emergency department, and outpatient visits were 2 (1–4), 1 (1–3), and 19 (13–27); median (IQR) length of stay per hospitalization was 5 (3–9) days. Mean total cumulative costs per patient from 3 months pre-diagnosis to 12 months and to 5 years post-diagnosis were $201,749 (197,490–206,024) and $268,031 (262,877–274,416). Mean (SD) PPPM costs were $818 (1,128) and $7,394 (8,676) pre- and post-GBM diagnosis, respectively. The variables most predictive of cumulative costs included radiation therapy (+$81,732), ≥2 weeks of hospitalization (+$49,629), and ≥7 MRI scans (+$40,105).

Conclusions: The direct medical costs of newly-diagnosed, TMZ-treated GBM in commercially insured patients are substantial, with estimated total cumulative costs of $268,031.     

Burden of venous leg ulcers in the United States

Objective:

To estimate the annual incremental per-patient and overall payer burden (2012USD) of venous leg ulcers (VLU) in the US.

Methods:

Beneficiaries with and without VLU were identified using two de-identified insurance claims databases: aged 65+ from a 5% random sample of Medicare beneficiaries (2007–2010: n?～?2.3 million); and aged 18–64 from a privately-insured population (2007–2011: n?～?8.4 million). The index date was selected as the date of a VLU claim with no other VLU diagnoses in the preceding 12 months for the VLU cohort and as the date of a random medical claim for the non-VLU patients. These groups were matched using propensity scores to account for differences in demographics, comorbidities, resource utilization, and costs in the 12 month pre-index period. Medical resource use and costs incurred during the 12 month follow-up period were calculated for both payers. Drug costs and indirect work-loss due to disability and medically-related absenteeism were estimated for the privately-insured sample only. Annual VLU incidence rates were also estimated for both payers.

Results:

Data for 58,672 matched VLU/non-VLU pairs of Medicare and 22,476 matched pairs of privately-insured patients were analyzed. Relative to matched non-VLU patients, VLU patients used more medical resources and incurred annual incremental medical costs of $6391 in Medicare ($18,986 vs $12,595), and $7030 ($13,653 vs $6623) in private insurance ($7086 including drug costs). Compared with non-VLU patients, privately-insured VLU patients had more days missed from work (14.0 vs 10.0), resulting in 29% higher work-loss costs (comparisons significant at p?Limitations:

Findings did not account for out-of-pocket payments or other indirect costs (e.g., lost productivity), and relied on accuracy of diagnosis and procedure codes contained in claims data.

Conclusion:

These findings suggest an annual US payer burden of $14.9 billion.     

What happens after a single surgical intervention for hidradenitis suppurativa? A retrospective claims-based analysis

Objective Hidradenitis suppurativa (HS) is often treated by surgery. The risk of recurrence after surgery is common and the consequences are substantial, but neither has been quantified using a claims database. This study aimed to estimate the burden associated with non-curative surgery in HS patients.

Methods A retrospective analysis was performed of health insurance claims data from Q1 1999 to Q2 2011 in a US claims database. The analysis included 2668 adults with ≥1 diagnosis of HS and ≥1 claim for skin surgery within 6 months after diagnosis. Healthcare resource utilization and medical costs were compared using multivariate regressions.

Results Overall, 46% of HS patients had ≥1 indicator of non-curative surgery. The incidences of inpatient, emergency department, and outpatient visits were 88%, 40%, and 30% higher, respectively, for patients with non-curative surgery vs patients without indicator of non-curative surgery (all p?<?0.001). Average medical costs were $11,858 and $6427 for patients with and without indicators of non-curative surgery, respectively. The difference of $4185 (p?<?0.001) was mainly driven by inpatient costs (difference = $2685; p?<?0.001).

Limitations Indicators of non-curative HS surgery were defined based on an empirical algorithm.

Conclusions Non-curative HS surgery occurred in almost half of all cases and represents a significant burden on patients and payers in terms of resource utilization and costs.     

Impact of upper and lower gastrointestinal blood loss on healthcare utilization and costs: a systematic review

Abstract

Objectives:

Gastrointestinal (GI) blood loss is a common medical condition which can have serious morbidity and mortality consequences and may pose an enormous burden on healthcare utilization. The purpose of this study was to conduct a systematic review to evaluate the impact of upper and lower GI blood loss on healthcare utilization and costs.

Methods:

We performed a systematic search of peer-reviewed English articles from MEDLINE published between 1990 and 2010. Articles were limited to studies with patients ≥18 years of age, non-pregnant women, and individuals without anemia of chronic disease, renal disease, cancer, congestive heart failure, HIV, iron-deficiency anemia or blood loss due to trauma or surgery. Two reviewers independently assessed abstract and article relevance.

Results:

Eight retrospective articles were included which used medical records or claims data. Studies analyzed resource utilization related to medical care although none of the studies assessed indirect resource use or costs. All but one study limited assessment of healthcare utilization to hospital use. The mean cost/hospital admission for upper GI blood loss was reported to be in the range $3180–8990 in the US, $2500–3000 in Canada and, in the Netherlands, the mean hospital cost/per blood loss event was €11,900 for a bleeding ulcer and €26,000 for a bleeding and perforated ulcer. Mean cost/ hospital admission for lower GI blood loss was $4800 in Canada, and $40,456 for small bowel bleeding in the US.

Conclusions:

Our findings suggest that the impact of GI blood loss on healthcare costs is substantial but studies are limited. Additional investigations are needed which examine both direct and indirect costs as well as healthcare costs by source of GI blood loss focusing on specific populations in order to target treatment pathways for patients with GI blood loss.     

Brain metastases in non-small cell lung cancer patients on epidermal growth factor receptor tyrosine kinase inhibitors: symptom and economic burden

Objective: This study describes the symptom and economic burden associated with brain metastases (BM) in patients with non-small cell lung cancer (NSCLC) receiving epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (EGFR-TKIs).

Methods: This retrospective study included adults with ≥2 medical claims, within 90 days, for lung cancer and ≥1 administration of EGFR-TKIs. Based on ICD-9 codes, patients were stratified into cohorts by type of metastases (BM, other metastases [OM], or no metastases [NM]), and by when the metastasis diagnosis occurred (synchronous or asynchronous).

Results: The population (synchronous BM [SBM]?=?24, synchronous OM [SOM]?=?23, asynchronous BM [ASBM]?=?15, asynchronous OM [ASOM]?=?49, NM?=?85) was mostly female (57%), average age 69 years (SD?=?11). SBM patients experienced more fatigue and nausea/vomiting compared with SOM and NM patients and more headaches and loss of appetite than NM patients. ASBM was associated with more fatigue, nausea/vomiting, headaches, pain/numbness, altered mental status, and seizures than NM, and more headaches and pain/numbness than ASOM. SBM patients experienced a greater increase in per-member-per-month all-cause total healthcare costs after diagnosis ($20,301) vs SOM ($9,131, p?=?.001) and NM ($2,493, p?=?.001). ASBM’s cost increase between baseline and follow-up ($7,867) did not differ from ASOM’s ($4,947, p?=?.195); both were larger than NM ($2,493, p?=?.001 and p?=?.009, respectively).

Limitations: EGFR mutation status was inferred based on EGFR-TKI treatment, not by molecular testing. Patients were from US commercial insurance plans; results may not be generalizable to other populations.

Conclusions: Among patients with EGFR-TKI-treated NSCLC, patients with BM experienced more symptoms and, when diagnosed synchronously, had significant increases in total medical costs vs patients with OM and NM. Therapeutic options with central nervous system activity may offer advantages in symptomatology and costs in EGFR-mutated patients with BM.     

Economic analysis of BRAF gene mutation testing in real world practice using claims data: costs of single gene versus panel tests in patients with lung cancer

Aims: To assess the time to BRAF testing, compare the characteristics of tested vs not-tested patients, and describe the costs for sequential vs next-generation sequencing (NGS) BRAF testing.

Methods: Patients diagnosed with lung cancer after December 1, 2013 were identified from two US claims databases; their characteristics were assessed during the 12 months before diagnosis (index date). Testing modalities were analyzed from the index date to end of continuous health plan enrollment or data availability (December 2015), based on combinations of Current Procedural Terminology (CPT) procedure codes. Time to BRAF testing was assessed using Kaplan-Meier analysis. Costs were analyzed from a payer’s perspective.

Results: A total of 28,011 patients newly-diagnosed with lung cancer were identified. Of them, 1,260 (4.5%) were tested for BRAF: 3.2% and 4.2% were tested at 6 and 12 months, respectively, after the index date. Compared to non-tested patients, tested patients were younger (58.3 vs 65.3 years; p?<?.001), had a lower Charlson Comorbidity Index (2.8 vs 2.9; p?=?.005), and a higher proportion had metastases (70.9% vs 43.4%; p?<?.001). In 76.0% of cases, BRAF was tested along with KRAS. BRAF was tested using NGS in 6.6% of cases. The average reimbursed amounts for the 10 most common CPT code combinations were $207–$2,074. Using the average costs of individual mutation tests, the total cost of sequential testing comprising KRAS, EGFR, ALK, ROS1, and BRAF tests was $3,763 ($464, $696, $1,070, $1,127, and $406, respectively), that of NGS was $2,860.

Limitations: Claims data did not include BRAF test results.

Conclusions: Among patients newly-diagnosed with lung cancer, 4.5% were tested for BRAF. Tested patients were younger and had a lower comorbidity burden, but more advanced disease. While reimbursed amounts varied greatly based on combinations of testing procedures, NGS testing was associated with cost savings compared to sequential testing of individual mutations.     

Adverse event-related costs for systemic metastatic breast cancer treatment among female Medicaid beneficiaries

Objective: This retrospective study compared the real-world incidence and costs of systemic treatment-related adverse events (AEs) in patients with metastatic breast cancer in a Medicaid population.

Methods: Insurance claims data for adult women who received biologic or chemotherapy (± hormonal therapy) for metastatic breast cancer between 2006–2013 were extracted from the Truven Health MarketScan^® Multi-State Medicaid database. Incidence of AEs (per 100 person years) and average monthly AE-related healthcare costs (per-patient-per-month) during each line of therapy (first or later lines) were estimated. The association between AEs and total all-cause healthcare costs was estimated using multivariable regression.

Results: A total of 729 metastatic breast cancer patients were analyzed. Hematological (202.3 per 100 person years) and constitutional AEs (289.6 per 100 person years) were the most common class of AEs reported. Unadjusted per-patient-per-month AE-related expenditure by class were highest for hematological AEs ($1524), followed by gastrointestinal ($839) and constitutional AEs ($795), with anemia ($942), nausea/vomiting ($699), and leukopenia/neutropenia ($550) having incurred the highest total AE-related costs. Adjusted total all-cause monthly costs increased with the number of AEs ($19,701 for >7 AEs, $16,264 for 4???6 AEs, and $13,731 for 1???3 AEs) compared to no AEs ($5908) (all p?Conclusions: Among metastatic breast cancer patients treated with systemic therapy in a Medicaid population, AEs were associated with significant increases in costs, which increased with the number of AEs experienced. Therapies associated with a lower incidence of AEs may reduce cost burden and improve patient outcomes.     

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.     

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.     

A real-world analysis of healthcare costs and relative risk of hyperprolactinemia associated with antipsychotic treatments in the United States

Abstract

Aims: Antipsychotic medications are associated with an increased risk of hyperprolactinemia, but differ in their propensity to cause this complication. This study aimed to assess the economic burden of hyperprolactinemia, and to compare its risk among adult patients using atypical antipsychotics (AAs) with a mechanism of action associated with no/low vs high/moderate prolactin elevation.

Methods: This retrospective cohort study was based on US Commercial and Medicaid claims databases. Healthcare costs were compared between matched hyperprolactinemia and hyperprolactinemia-free cohorts using a two-part model. Risk of hyperprolactinemia was compared between patients receiving AAs with a mechanism of action associated with no/low (no/low prolactin elevation cohort) vs high/moderate prolactin elevation (high/moderate prolactin cohort) using logistic regression.

Results: In the commercially insured sample, compared to the hyperprolactinemia-free cohort (n?=?499), the hyperprolactinemia cohort (n?=?499) was associated with incremental total healthcare costs of $5,732 ($20,081 vs $14,349; p?=?.004), and incremental medical costs of $3,861 ($13,218 vs $9,357; p?=?.040), mainly driven by hyperprolactinemia-related costs. In the Medicaid-insured sample, compared to the hyperprolactinemia-free cohort, the hyperprolactinemia cohort was associated with incremental total healthcare costs of $10,773 ($30,763 vs $19,990; p?=?.004), and incremental medical costs of $9,246 ($20,859 vs $11,613; p?=?.004), mainly driven by hyperprolactinemia-related and mental health-related costs. The odds of hyperprolactinemia in the no/low prolactin elevation cohort were 4–5-times lower than that in the high/moderate prolactin elevation cohort (odds ratio =0.21; p?<?.001).

Limitations: Hyperprolactinemia may be under-reported in claims data.

Conclusions: Hyperprolactinemia is associated with substantial healthcare costs. AAs associated with no/low prolactin elevation reduce the risk of hyperprolactinemia by 4–5-times compared to AAs associated with moderate/high prolactin elevation. Treatment options with minimal impact on prolactin levels may contribute to reducing hyperprolactinemia burden in AA-treated patients.     

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.     

Contribution of intangible costs to the economic burden of multiple sclerosis

Abstract

Background:

Multiple sclerosis (MS) is associated with a substantial economic burden resulting from direct medical costs associated with health and disability-related resource utilization and indirect costs relating to reduced productivity. However, reduced health-related quality of life (HR-QOL) may be associated with additional costs, often termed ‘intangible costs,’ that should be considered as part of the economic burden from the societal or patient perspectives.

Objectives:

To review the contribution of intangible costs to the overall economic burden of MS.

Methods:

Medline was searched through March 2010 for relevant articles that included the terms ‘multiple sclerosis’ in combination with ‘intangible costs,’ ‘QALY,’ ‘quality-adjusted life year,’ ‘willingness-to-pay,’ and ‘WTP.’ Other than the restriction that the articles were published in English, there were no other exclusionary criteria for the search. Identified references were hand-searched to determine if intangible costs were estimated.

Results:

Thirteen studies across ten countries were identified that estimated intangible costs based on the number of quality-adjusted life-years (QALYs) lost due to a reduction in HR-QOL multiplied by accepted willingness-to-pay (WTP) thresholds. Although absolute costs varied depending on thresholds used and year of evaluation, the intangible costs accounted for 17.5–47.8% of total costs of MS. Furthermore, evidence suggested intangible costs are positively correlated with worsening disability. The largest increase in intangible costs occurred at the transition between mild and moderate disability. However, since no value has been established as being acceptable to pay for a QALY, a limitation of these studies was their dependence on the definition of the WTP threshold.

Conclusions:

Intangible costs substantially add to the economic burden of MS. There is not only a need to further characterize these costs and incorporate them into economic studies, but also to determine how these costs can be reduced through appropriate management strategies.