Healthcare resource utilization among patients with relapsed multiple myeloma in the UK,France, and Italy

Aims: To assess the real-world healthcare resource utilization (HRU) and costs associated with different treatment regimens used in the management of patients with relapsed multiple myeloma in the UK, France, and Italy.

Methods: Retrospective medical chart review of characteristics, time to progression, level of response, HRU during treatment, and adverse events (AEs). Data collection started on June 1, 2015 and was completed on July 15, 2015. In the 3 months before record abstraction, eligible patients had either disease progression after receiving one of their country’s most commonly prescribed regimens or had received the best supportive care and died. Costs were calculated based on HRU and country-specific diagnosis-related group and/or unit reference costs, amongst other standard resources.

Results: Physicians provided data for 1,282 patients (387 in the UK, 502 in France, 393 in Italy) who met the inclusion criteria. Mean [median] total healthcare costs associated with a single line of treatment were €51,717 [35,951] in the UK, €37,009 [32,538] for France, and €34,496 [42,342] for Italy, driven largely by anti-myeloma medications costs (contributing 95.0%, 90.0%, and 94.2% of total cost, respectively). During active treatment, the highest costs were associated with lenalidomide- and pomalidomide-based regimens. Mean cost per month was lowest for patients achieving a very good partial response or better. Unscheduled events (i.e. not considered part of routine management, whether or not related to multiple myeloma, such as unscheduled hospitalization, AEs, fractures) accounted for 1–9% of total costs and were highest for bendamustine.

Limitations: The use of retrospective data means that clinical practice (e.g. use of medical procedures, evaluation of treatment response) is not standardized across participating countries/centers, and some data (e.g. low-grade AEs) may be incomplete or differently adjudicated/reported. The centers involved may not be fully representative of national practice.

Conclusions: Drug costs are the main contributor to total HRU costs associated with multiple myeloma. The duration of active treatment may influence the average total costs, as well as response, associated with a single line of therapy. Improved treatment outcomes, and reductions in unscheduled events and concomitant medication use may, therefore, reduce the overall HRU and related costs of care in multiple myeloma.     

Years of life lost due to metastatic melanoma in 12 countries

Background:

Regionally or distantly metastatic melanoma (stages IIIB/C and IV) place a high burden on society. To quantify this burden, this study estimated years of life lost (YLL) per patient for adults with metastatic melanoma in 12 countries in 2014.

Methods:

General population growth and life expectancy were estimated from the Organization for Economic Co-operation and Development data and life tables for each country. Incidence of melanoma and mortality rates for the disease were based on GLOBOCAN and US registry data. The prevalence of metastatic melanoma was calculated using mortality rates and survival data from patients with melanoma. YLL per patient was estimated by the difference between the disease-free life expectancy and the life expectancy with metastatic melanoma.

Results:

YLL per patient were as follows: Australia, men?=?19.9 years, women?=?22.7 years; Brazil, 16.3, 19.8; Canada, 19.4, 22.3; France, 18.8, 23.1; Germany, 18.3, 20.8; Italy, 19.3, 22.7; Mexico, 17.2, 19.0; the Netherlands, 18.5, 21.5; Spain, 19.2, 23.1; Sweden 19.4, 22.0; the UK, 18.7, 21.2; and the US, 17.9, 20.6.

Conclusions:

The burden of metastatic melanoma as measured by YLL is substantial in all 12 countries; although there is variation across countries and between men and women.     

Confirming the timing of phase-based costing in oncology studies: a case example in advanced melanoma

Aims: The utilization of healthcare services and costs among patients with cancer is often estimated by the phase of care: initial, interim, or terminal. Although their durations are often set arbitrarily, we sought to establish data-driven phases of care using joinpoint regression in an advanced melanoma population as a case example.

Methods: A retrospective claims database study was conducted to assess the costs of advanced melanoma from distant metastasis diagnosis to death during January 2010–September 2014. Joinpoint regression analysis was applied to identify the best-fitting points, where statistically significant changes in the trend of average monthly costs occurred. To identify the initial phase, average monthly costs were modeled from metastasis diagnosis to death; and were modeled backward from death to metastasis diagnosis for the terminal phase. Points of monthly cost trend inflection denoted ending and starting points. The months between represented the interim phase.

Results: A total of 1,671 patients with advanced melanoma who died met the eligibility criteria. Initial phase was identified as the 5-month period starting with diagnosis of metastasis, after which there was a sharp, significant decline in monthly cost trend (monthly percent change [MPC]?=?–13.0%; 95% CI?=?–16.9% to –8.8%). Terminal phase was defined as the 5-month period before death (MPC?=?–14.0%; 95% CI?=?–17.6% to –10.2%).

Limitations: The claims-based algorithm may under-estimate patients due to misclassifications, and may over-estimate terminal phase costs because hospital and emergency visits were used as a death proxy. Also, recently approved therapies were not included, which may under-estimate advanced melanoma costs.

Conclusions: In this advanced melanoma population, optimal duration of the initial and terminal phases of care was 5 months immediately after diagnosis of metastasis and before death, respectively. Joinpoint regression can be used to provide data-supported phase of cancer care durations, but should be combined with clinical judgement.     

Cost of skeletal complications from bone metastases in six European countries

Objective Patients with bone metastases or lesions secondary to solid tumors or multiple myeloma often experience bone complications (skeletal-related events [SREs]—radiation to bone, pathologic fracture, surgery to bone, and spinal cord compression); however, recent data that can be used to assess the value of treatments to prevent SREs across European countries are limited. This study aimed to provide estimates of health resource utilization (HRU) and cost associated with all SRE types in Europe. HRU data were reported previously; cost data are reported herein.

Methods Eligible patients from 49 centers across Austria (n?=?57), the Czech Republic (n?=?59), Finland (n?=?60), Greece (n?=?59), Portugal (n?=?59), and Sweden (n?=?62) had bone metastases or lesions secondary to breast, lung, or prostate cancer, or multiple myeloma, and ≥1 index SRE (a SRE preceded by a SRE-free period of ≥?6.5 months). SRE-related costs were estimated from a payer perspective using health resource utilization data from patient charts (before and after the index SRE diagnosis). Country-specific unit costs were from 2010 and local currencies were converted to 2010 euros.

Results The mean costs across countries were €7043, €5242, €11,101, and €11,509 per radiation to bone, pathologic fracture, surgery to bone, and spinal cord compression event, respectively. Purchasing power parity (PPP)-adjusted mean cost ratios were similar in most countries, with the exception of radiation to bone.

Limitations The overall burden of SREs may have been under-estimated owing to home visits and evaluations outside the hospital setting not being reported here.

Conclusions All SREs were associated with substantial costs. Variation in SRE-associated costs between countries was most likely driven by differences in treatment practices and unit costs.     

Cost-effectiveness of selective internal radiation therapy using yttrium-90 resin microspheres in treating patients with inoperable colorectal liver metastases in the UK

Abstract

Objective:

Selective internal radiation therapy (SIRT) using SIR-Spheres® ⁹⁰Y-labeled resin microspheres has been shown to be a well-tolerated, effective treatment in patients with inoperable liver-dominant chemotherapy–refractory metastatic colorectal cancer (mCRC). This study estimated the cost-effectiveness of ⁹⁰Y-resin microspheres compared to best supportive care (BSC) from a UK perspective.     

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.     

Ipilimumab in 2nd line treatment of patients with advanced melanoma: a cost-effectiveness analysis

Abstract

Objective:

To estimate the cost-effectiveness of ipilimumab (3?mg/kg) compared with best supportive care (BSC) in pre-treated advanced melanoma patients.     

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.     

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.     

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.     

Cost analysis: treatment of chemotherapy-induced anemia with erythropoiesis-stimulating agents in five European countries

Abstract

Objective:

Cost-analysis comparing darbepoetin-alfa (DARB), epoetin-alfa (EPO-A), and epoetin-beta (EPO-B) for treatment of chemotherapy-induced anemia in Belgium concluded that costs for DARB-treated patients were significantly lower than costs for EPO-A- or EPO-B-treated patients. The objective of the present study was to extend the Belgian analysis to Austria, France, Italy, Portugal, and Spain, estimating differences in costs between erythropoiesis-stimulating agents (ESAs) in each country.

Methods:

Differences in epidemiology and treatment patterns between countries were adjusted using data from Eurostat, national cancer registries, IMS sales data, and reimbursement and treatment guidelines. Belgian unit costs were replaced with country-specific costs. Costs were analyzed using a mixed-effects model stratifying for propensity score quintiles.

Results:

All populations were comparable to the Belgian population in terms of age, gender, ESA, and blood transfusions use. After adjusting for country-specific chemotherapy use and cancer incidence, total management costs per patient (Euro, 2010) were 19–26% (France, Spain) lower with DARB compared with EPO-A (p?<?0.0001) and 20–36% (Portugal, Austria) compared with EPO-B (p?<?0.01). Anemia-related costs with DARB were between 12% (Portugal; p?=?0.0235) and 38% (Italy; p?<?0.0001) lower compared with EPO-A (p?<?0.01; all remaining countries), and between 13% (Austria; p?=?0.064) and 19% (Portugal; p?=?0.0028) lower compared with EPO-B (p?<?0.05; all remaining countries except Italy; p?=?0.0935).

Limitations:

Not all differences could be accounted for by a lack of country-specific data; however, the potential under- and over-estimation of costs should be similar for all three ESAs.

Conclusions:

These findings are in line with the Belgian analysis. In all countries, total and anemia-related costs were lowest in patients receiving DARB vs EPO-A or EPO-B. This study demonstrates the feasibility of adapting real-life country-specific data to other settings, adjusting for differences in patients’ characteristics and treatment strategies. These findings should be valuable in healthcare decision-making in oncology patients treated in each of the countries studied.     

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.     

The effect of pharmacogenetic profiling with a clinical decision support tool on healthcare resource utilization and estimated costs in the elderly exposed to polypharmacy

Objective:

To compare healthcare resource utilization (HRU) and clinical decision-making for elderly patients based on cytochrome P450 (CYP) pharmacogenetic testing and the use of a comprehensive medication management clinical decision support tool (CDST), to a cohort of similar non-tested patients.

Methods:

An observational study compared a prospective cohort of patients ≥65 years subjected to pharmacogenetic testing to a propensity score (PS) matched historical cohort of untested patients in a claims database. Patients had a prescribed medication or dose change of at least one of 61 oral drugs or combinations of ≥3 drugs at enrollment. Four-month HRU outcomes examined included hospitalizations, emergency department (ED) and outpatient visits and provider acceptance of test recommendations. Costs were estimated using national data sources.

Results:

There were 205 tested patients PS matched to 820 untested patients. Hospitalization rate was 9.8% in the tested group vs 16.1% in the untested group (RR?=?0.61, 95% CI?=?0.39–0.95, p?=?0.027), ED visit rate was 4.4% in the tested group vs 15.4% in the untested group (RR?=?0.29, 95% CI?=?0.15–0.55, p?=?0.0002) and outpatient visit rate was 71.7% in the tested group vs 36.5% in the untested group (RR?=?1.97, 95% CI?=?1.74–2.23, p?<?0.0001). The rate of overall HRU was 72.2% in the tested group vs 49.0% in the untested group (RR?=?1.47, 95% CI?=?1.32–1.64, p?<?0.0001). Potential cost savings were estimated at $218 (mean) in the tested group. The provider majority (95%) considered the test helpful and 46% followed CDST provided recommendations.

Conclusion:

Patients CYP DNA tested and treated according to the personalized prescribing system had a significant decrease in hospitalizations and emergency department visits, resulting in potential cost savings. Providers had a high satisfaction rate with the clinical utility of the system and followed recommendations when appropriate.     

Real-world healthcare resource utilization related to migraine treatment failure: a panel-based chart review in France,Germany, Italy,and Spain

Abstract

Aims: This retrospective chart review examined the six-month migraine-related healthcare resource use (HRU) among European patients who had ≥4 migraine days per month and previously failed at least two prophylactic migraine treatments.

Methods: Neurologists, headache specialists, and pain specialists in France, Germany, Italy, and Spain who treated ≥10 patients with migraine in 2017 were recruited (April–June 2018) to extract anonymized patient-level data. Eligible physicians randomly selected charts of up to five adult patients with clinically-confirmed migraine, ≥4 migraine days in the month prior to the index date, and had previously failed at least two prophylactic migraine treatments. Treatment failure was defined as discontinuation due to lack of efficacy and/or tolerability. Demographic and disease characteristics as of the index date, and migraine-related HRU incurred during the 6-month study period, were recorded.

Results: A total of 104 physicians contributed 168 charts for patients (63% female). On average, patients were 38?years old and failed 2.3 prophylactic treatments as of the index date. During the study period, 83% of patients had ≥1 outpatient visit for migraine in the physician’s office, and 27% went to the ER/A&E. Approximately 5% of patients were hospitalized for migraine, with an average of one hospitalization and an average length of stay of 3 days. Approximately 39% of patients had ≥1 blood test, 22% had ≥1 magnetic resonance imaging, 17% had ≥1 electroencephalogram, and 13% had ≥1 computerized tomography scan. Visits to other healthcare providers were common.

Limitations: This study is subject to the limitations of chart review studies, such as errors in data entry.

Conclusions: Across four European countries, the HRU burden of migraine among patients who previously failed at least two prophylactic treatments was high, indicating a need for more effective prophylactic treatments to appropriately manage migraine and reduce the HRU burden attributable to this common disorder.     

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.     

Interest Rate Defenses of Currency Pegs

ABSTRACT

Reducing rigidity in labor markets is key to lowering unemployment. Theoretical models suggest that the impact of such reforms depends on the country-specific regulatory framework. We test this hypothesis by estimating the impact of changes in six categories of regulation conditional on the country-specific regulatory environment for 26 OECD countries. We overcome problems of modeling a large set of institutional interdependencies by applying a machine learning type model selection approach. We provide evidence for the existence of higher-order institutional interdependencies. We further document that especially for changes in employment protection and the unemployment benefit system the impact on unemployment is mixed across countries.