Health care resource utilization, quality metrics, and costs of bladder cancer within the Oncology Care Model.

OBJECTIVES: New and emerging therapies have significantly changed the bladder cancer (BC) treatment landscape and can potentially affect spending and patient care in CMS' Oncology Care Model (OCM), a service delivery and payment model for voluntarily participating practices. The objectives of this analysis were to estimate health care resource utilization (HCRU) and benchmark spending per OCM episode of BC, and to model spending drivers and quality metrics. STUDY DESIGN: Retrospective cohort study. METHODS: A retrospective cohort study was conducted of OCM episodes triggered by receipt of anticancer therapy among Medicare beneficiaries from 2016 to 2018. Based on this, an average performance estimation was conducted to assess the impact of hypothetical changes in novel therapy use by OCM practices. RESULTS: BC accounted for approximately 3% (n = 60,099) of identified OCM episodes. Relative to low-risk episodes, high-risk episodes were associated with greater HCRU and worse OCM quality metrics. Mean spending per high-risk episode was $37,857 (low-risk episode: $9204), with $11,051 spent on systemic therapies and $7158 on inpatient services. In the estimation, high- and low-risk BC exceeded the spending target by 1.7% and 9.4%, respectively. This did not affect payments to practices and no retrospective payments were necessary. CONCLUSIONS: As 3% of OCM episodes were attributed to BC, with only one-third classified as high-risk, controlling expenditure on novel therapies for advanced BC is unlikely to affect overall practice performance. The average performance estimation further emphasized the minimal impact that novel therapy spending in high-risk BC has on OCM payments to practices.

Health State Utilities of Patients with Heart Failure: A Systematic Literature Review.

BACKGROUND AND OBJECTIVES: New treatments and interventions are in development to address clinical needs in heart failure. To support decision making on reimbursement, cost-effectiveness analyses are frequently required. A systematic literature review was conducted to identify and summarize heart failure utility values for use in economic evaluations. METHODS: Databases were searched for articles published until June 2019 that reported health utility values for patients with heart failure. Publications were reviewed with specific attention to study design; reported values were categorized according to the health states, 'chronic heart failure', 'hospitalized', and 'other acute heart failure'. Interquartile limits (25th percentile 'Q1', 75th percentile 'Q3') were calculated for health states and heart failure subgroups where there were sufficient data. RESULTS: The systematic literature review identified 161 publications based on data from 142 studies. Utility values for chronic heart failure were reported by 128 publications; 39 publications published values for hospitalized and three for other acute heart failure. There was substantial heterogeneity in the specifics of the study populations, methods of elicitation, and summary statistics, which is reflected in the wide range of utility values reported. EQ-5D was the most used instrument; the interquartile limit for mean EQ-5D values for chronic heart failure was 0.64-0.72. CONCLUSIONS: There is a wealth of published utility values for heart failure to support economic evaluations. Data are heterogenous owing to specificities of the study population and methodology of utility value elicitation and analysis. Choice of value(s) to support economic models must be carefully justified to ensure a robust economic analysis.

A Systematic Review of Medical Costs Associated with Heart Failure in the USA (2014-2020).

BACKGROUND: Heart failure presents a growing clinical and economic burden in the USA. Robust cost data on the burden of illness are critical to inform economic evaluations of new therapeutic interventions. OBJECTIVES: This systematic literature review of heart failure-related costs in the USA aimed to assess the quality of the published evidence and provide a narrative synthesis of current data. METHODS: Four electronic databases (MEDLINE, EMBASE, EconLit, and the Centre for Reviews and Dissemination York Database, including the NHS Economic Evaluation Database and Health Technology Assessment Database) were searched for journal articles published between January 2014 and March 2020. The review, registered with PROSPERO (CRD42019134201), was restricted to cost-of-illness studies in adults with heart failure events in the USA. RESULTS: Eighty-seven studies were included, 41 of which allowed a comparison of cost estimates across studies. The annual median total medical costs for heart failure care were estimated at $24,383 per patient, with heart failure-specific hospitalizations driving costs (median $15,879 per patient). Analyses of subgroups revealed that heart failure-related costs are highly sensitive to individual patient characteristics (such as the presence of comorbidities and age) with large variations even within a subgroup. Additionally, differences in study design and a lack of standardized reporting limited the ability to compare cost estimates. The finding that costs are higher for patients with heart failure with reduced ejection fraction compared with patients with preserved ejection fraction highlights the need for differentiating among different heart failure types. CONCLUSIONS: The review underpins the conclusion drawn in earlier reviews, namely that hospitalization costs are the key driver of heart failure-related costs. Analyses of subgroups provide a clearer understanding of sources of heterogeneity in cost data. While current cost estimates provide useful indications of economic burden, understanding the nuances of the data is critical to support its application.

Use of Low-Density Lipoprotein-Lowering Therapies Before and After PCSK9 Inhibitor Initiation.

Background Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) are used to reduce low-density lipoprotein (LDL) cholesterol. PCSK9i use after initiation, as well as persistence with or alterations to other LDL-lowering therapy after PCSK9i initiation, is not well understood. Methods and Results We conducted a retrospective study of alirocumab or evolocumab (PCSK9i) new users from July 2015 to December 2017 in the MarketScan Early View database of US commercial insurance beneficiaries. We determined the prevalence of PCSK9i interruption (≥30-day gap in supply) and LDL-lowering therapy use in the year after PCSK9i initiation. The average age of 6151 patients initiating PCSK9i therapy was 63 years, 44.4% were women, and 76.8% had atherosclerotic cardiovascular disease. Overall, 52.2% (95% CI, 50.8%-53.7%) of patients had an interruption in PCSK9i therapy in the first year after treatment initiation and 62.5% remained on PCSK9i therapy at 1-year postinitiation. Also, 27.7% of patients were taking a statin at the time of PCSK9i initiation, with only 22.4% on statin therapy at 1 year after PCSK9i initiation. Ezetimibe use decreased from 20.9% at the time of PCSK9i initiation to 12.0% a year later. By 1 year after PCSK9i initiation, 44.0% of patients had experienced an interruption in all LDL-lowering therapies, and 26.6% were no longer on any LDL-lowering therapies. Conclusions After PCSK9i initiation, statins were often discontinued, whereas more than half of patients experienced an interruption in PCSK9i therapy. These results suggest that many new PCSK9i users may remain at high risk for cardiovascular events because of interruptions in LDL-lowering therapy.

Economic Evaluations of Pharmacological Treatments in Heart Failure Patients: A Methodological Review with a Focus on Key Model Drivers.

Various decision analytic models exist for evaluating the cost-effectiveness of pharmacological interventions for heart failure (HF). Despite this, studies that explore drivers influencing these modeling approaches remain scarce. Through a systematic review of the literature, the present study sought to identify model drivers that emerge from economic evaluations of HF pharmacological interventions. Among the 72 cost effectiveness papers evaluating HF drug interventions, the most frequently identified, top 5 ranked model drivers impacting the incremental cost-effectiveness ratio (ICER) were cost of treatment and utility, identified in 10% of studies, respectively. Other drivers that emerged as top 5 ranked drivers in > 5% of studies included treatment effect on mortality (or cardiovascular mortality), duration of treatment, and baseline cardiovascular mortality. Model drivers reported at the top of tornado diagrams were treatment effect on mortality or on cardiovascular mortality. Collectively, these observations highlight the key importance of treatment effect in driving cost-effectiveness models for HF.

Evaluating Cost-Effectiveness Models for Pharmacologic Interventions in Adults with Heart Failure: A Systematic Literature Review.

BACKGROUND: Heart failure (HF) is a well-recognized public health concern and imposes high economic and societal costs. Decision analytic models exist for evaluating the economic ramifications associated with HF. Despite this, studies that appraise these modelling approaches for augmenting best-practice decisions remain scarce. OBJECTIVE: Our objective was to conduct a systematic literature review (SLR) of published economic models for the management of HF and describe their general and methodological features. METHODS: This SLR employed a combination of relevant search terms associated with HF, which were used in a number of databases, including MEDLINE, Embase, the National Health Service Economic Evaluation Database, Cost-Effectiveness Analysis Registry, ScHARR Health Utilities Database and Cochrane Library Database. A number of model features (i.e. model structure, specification, outcomes assessed, scenario and sensitivity analysis, key model drivers) were extracted and subsequently summarized. RESULTS: Of 64 publications retained, a selection of modelling approaches were identified, including Markov (n = 28), trial-based analytic (n = 22), discrete-event simulation (n = 6), survival analytic (n = 7) and decision-tree modelling (n = 1) approaches. The bulk of publications employed either a cost-utility (n = 27) or cost-effectiveness (n = 36) analysis and evaluated more than one study outcome, which typically included overall costs (n = 59), incremental cost-effectiveness ratios (n = 55), life-years gained (n = 48) and willingness-to-pay thresholds (n = 37). Most publications focused on patients with chronic HF (n = 40) and used New York Heart Association (NYHA) disease classifications to categorize patients and determine disease severity. Few (n = 19) publications documented the use of hospitalization states for modelling patient outcomes and associated costs. A quality assessment of the included publications revealed most articles demonstrated reasonable methodological value. CONCLUSIONS: We identified numerous decision analytic modelling approaches for evaluating the cost effectiveness of pharmacologic treatments in HF. A Markov cohort model approach was most commonly used, and most models relied on NYHA classes as a proxy of HF severity, disease progression and prognosis.

Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care.

BACKGROUND: Computerized provider order entry (CPOE) is the process of entering physician orders directly into an electronic health record. Although CPOE has been shown to improve medication safety and reduce health care costs, these improvements have been demonstrated largely in the inpatient setting; the cost-effectiveness in the ambulatory setting remains uncertain. OBJECTIVE: The objective was to estimate the cost-effectiveness of CPOE in reducing medication errors and adverse drug events (ADEs) in the ambulatory setting. METHODS: We created a decision-analytic model to estimate the cost-effectiveness of CPOE in a midsized (400 providers) multidisciplinary medical group over a 5-year time horizon- 2010 to 2014-the time frame during which health systems are implementing CPOE to meet Meaningful Use criteria. We adopted the medical group's perspective and utilized their costs, changes in efficiency, and actual number of medication errors and ADEs. One-way and probabilistic sensitivity analyses were conducted. Scenario analyses were explored. RESULTS: In the base case, CPOE dominated paper prescribing, that is, CPOE cost $18 million less than paper prescribing, and was associated with 1.5 million and 14,500 fewer medication errors and ADEs, respectively, over 5 years. In the scenario that reflected a practice group of five providers, CPOE cost $265,000 less than paper prescribing, was associated with 3875 and 39 fewer medication errors and ADEs, respectively, over 5 years, and was dominant in 80% of the simulations. CONCLUSIONS: Our model suggests that the adoption of CPOE in the ambulatory setting provides excellent value for the investment, and is a cost-effective strategy to improve medication safety over a wide range of practice sizes.