Cost-effectiveness of full coverage of aromatase inhibitors for Medicare beneficiaries with early breast cancer

Effect of the full coverage policy of essential medicines on medication adherence: A quasi-experimental study in Taizhou, China

Objective

Different forms of full coverage policy of essential medicines (FCPEMs) have been adopted worldwide to lower medication expenditure and improve adherence. This study aims to analyse the effect of FCPEMs on patients' medication adherence in Taizhou city, China.

Methods

This study was a quasi-experimental study and set treatment and control groups. We extracted Electronic Health Records (EHRs) for hypertension and diabetes 1 year before and after FCPEMs implementation and their medication adherence level assessed by physicians. We applied the propensity score matching (PSM) method to balance the bias between the two groups. Then, the descriptive analysis was used to compare the differences in the reported medication adherence. Using the Difference-In-Differences (DIDs) method, the fixed-effect model with the logistic regression was built to analyse the effects of FCPEMs.

Results

225,081 eligible patients were identified from the original database. In the baseline year, FCPEM covered 39,251 patients. After PSM, 6,587 patients in the treatment group and 10,672 patients in the control group remained. We found that the proportion of patients with high adherence in the treatment group increased by 9.1% (60.8 to 69.9%, P < 0.001) and that in the control group increased by 2.6% (62.5 to 65.2%, P < 0.001). The regression results showed that FCPEMs significantly increased patients' medication adherence (OR = 2.546, P < 0.001).

Conclusion

FCPEMs significantly improved medication adherence. Socially disadvantaged individuals might benefit more from continuing FCPEM efforts. Expanding the coverage of FCPEMs to other medicines commonly used in patients with chronic diseases may be a promising strategy to manage chronic diseases and promote patient outcomes.

Financial burden, distress, and toxicity in cardiovascular disease

Cardiovascular disease (CVD) is a major source of financial burden and distress, which has 3 main domains: (1) psychological distress; (2) cost-related care non-adherence or medical care deferral, and (3) tradeoffs with basic non-medical needs. We propose 4 ways to reduce financial distress in CVD: (1) policymakers can expand insurance coverage and curtail underinsurance; (2) health systems can limit expenditure on low-benefit, high-cost treatments while developing services for high-risk individuals; (3) physicians can engage in shared-decision-making for high-cost interventions, and (4) community-based initiatives can support patients with system navigation and financial coping. Avenues for research include (1) analysis of how healthcare policies affect financial burden; (2) comparative effectiveness studies examining high and low-cost strategies for CVD management; and (3) studying interventions to reduce financial burden, financial coaching, and community health worker integration.

Cost implications of patient spending on heart failure medications in the US Medicare program

Objectives

The aim of this study was to model the associations between patient spending on heart failure (HF) medications and Medicare and all-payer expenditures on health care services for participants in the Medicare prescription drug (Part D) program.

Methods

Correlational analysis of pooled 2011–12 data from the Medicare Current Beneficiary Survey. Analysis was restricted to community-dwelling beneficiaries with self-reported HF at baseline, continuous Part D coverage, and no Low-Income Subsidy (LIS). The main predictor was mean patient expenditure on a HF-related prescription per 30-day supply. The outcomes were all-payer and Medicare-specific payments for inpatient and total health care services during the observation year.

Key findings

Mean patient drug expenditure was not statistically associated with Medicare or all-payer inpatient payments or (after covariate adjustment) with total health care payments. However, patient expenditure was statistically associated with total Medicare payments, eγ = 1.022, 95% CI [1.004 to 1.041]. Marginal effects analysis predicted an average rise in total Medicare payments of $190.32, 95% CI [$40.54 to $341.10], for each additional $1 of patient spending per prescription, P = 0.013. Given an average 2.4 HF-indicated drug classes per participant and assuming 12.2 copays per year, a hypothetical $1 increase in prescription copay predicted a net loss to Medicare of $160.90 per participant.

Conclusion

Prescription drug spending by Medicare beneficiaries with HF was not associated with higher inpatient or all-payer costs. A modest association between patient drug spending and total Medicare costs was observed, but longitudinal and cost-effectiveness analyses are needed to support causal inference.

Accounting for Capacity Constraints in Economic Evaluations of Precision Medicine: A Systematic Review

BACKGROUND AND OBJECTIVE

Precision (stratified or personalised) medicine is underpinned by the premise that it is feasible to identify known heterogeneity using a specific test or algorithm in patient populations and to use this information to guide patient care to improve health and well-being. This study aimed to understand if, and how, previous economic evaluations of precision medicine had taken account of the impact of capacity constraints.

METHODS

A meta-review was conducted of published systematic reviews of economic evaluations of precision medicine (test-treat interventions) and individual studies included in these reviews. Due to the volume of studies identified, a sample of papers published from 2007 to 2015 was collated. A narrative analysis identified whether potential capacity constraints were discussed qualitatively in the studies and, if relevant, which quantitative methods were used to account for capacity constraints.

RESULTS

A total of 45 systematic reviews of economic evaluations of precision medicine were identified, from which 222 studies focusing on test-treat interventions, published between 2007 and 2015, were extracted. Of these studies, 33 (15%) qualitatively discussed the potential impact of capacity constraints, including budget constraints; quality of tests and the testing process; ease of use of tests in clinical practice; and decision uncertainty. Quantitative methods (nine studies) to account for capacity constraints included static methods such as capturing inefficiencies in trials or models and sensitivity analysis around model parameters; and dynamic methods, which allow the impact of capacity constraints on cost effectiveness to change over time.

CONCLUSIONS

Understanding the cost effectiveness of precision medicine is necessary, but not sufficient, evidence for its successful implementation. There are currently few examples of evaluations that have quantified the impact of capacity constraints, which suggests an area of focus for future research.

Economic Evaluation of Letrozole for Early Breast Cancer in a Health Resource-Limited Setting

Objective

Long-term aromatase inhibitor (AI) therapy is expected to improve the health outcomes with high health resource consumption in early breast cancer. The aim of the study was to assess the cost-effectiveness of letrozole for postmenopausal women with estrogen receptor positive early breast cancer in a health resource-limited setting.

Methods

A Markov model was developed to project the lifetime outcomes based on the clinical course of early breast cancer. The clinical and utility data were derived from reported results. Costs were estimated from the perspective of Chinese health care. The quality-adjusted life-year (QALY) and incremental cost-effective ratio (ICER) were measured. Probabilistic sensitivity and one-way analyses were conducted.

Results

Compared to 5 years of tamoxifen therapy, 5 years of AI treatment with letrozole improved the QALYs (10.44 versus 10.84) and increased the lifetime costs (CNY ¥13,613 versus CNY ¥28,797), resulting in an ICER of CNY ¥38,092 /QALY. The ICER of 5 years of letrozole versus 2-3 years of tamoxifen and then letrozole was CNY ¥68,233 /QALY. Sensitivity analyses showed that the age of initiating adjuvant endocrine therapy was the most influential parameter.

Conclusions

In health resource-limited settings, adjuvant endocrine therapy with letrozole is a cost-effective strategy compared to tamoxifen in women with early breast cancer.

High Initiation of Adjuvant Hormonal Therapy Among Uninsured Stages I-III Breast Cancer Patients Treated in a Safety-Net Healthcare System

OBJECTIVE

Despite benefits of adjuvant hormonal therapy (AHT), many eligible breast cancer patients do not complete therapy as recommended. Patterns of AHT use have not been well studied among uninsured breast cancer patients who fall into coverage gaps or are ineligible for public insurance programs.

METHODS

We identified 291 patients newly diagnosed with stages I-III hormone receptor-positive breast cancer from January 2008 to December 2012. All patients were treated at a safety-net healthcare system and enrolled in an income-based medical assistance program that fills AHT prescriptions at low cost. We extracted and linked cancer registry, pharmacy claims, and medical record data to assess AHT initiation (defined as a new AHT prescription ≤18 months since diagnosis) and sociodemographic and healthcare utilization variables. Log-binomial regression was used to identify correlates of initiation.

RESULTS

Overall, 239 (82%) patients initiated AHT. Tamoxifen (42%) and anastrozole (55%) were most commonly prescribed. The mean copay was $4.90 for tamoxifen and $6.00 for anastrozole. Although crude analyses revealed small, statistically significant prevalence ratios for race/ethnicity (Hispanic vs. white, other vs. white), year of diagnosis (2008 vs. 2012), primary care visit before diagnosis (any vs. none), and smoking status (current vs. never), there were no significant correlates of initiation in the adjusted model.

CONCLUSION

Safety-net healthcare systems providing access to AHT (i.e., through reduced copays) could improve the number of eligible patients initiating therapy. Continuity and integration of care in these settings may reduce disparities frequently observed in uninsured, low-income breast cancer populations.

The hidden societal cost of antibiotic resistance per antibiotic prescribed in the United States: an exploratory analysis

Background

Ambulatory antibiotic prescribing contributes to the development of antibiotic resistance and increases societal costs. Here, we estimate the hidden societal cost of antibiotic resistance per antibiotic prescribed in the United States.

Methods

In an exploratory analysis, we used published data to develop point and range estimates for the hidden societal cost of antibiotic resistance (SCAR) attributable to each ambulatory antibiotic prescription in the United States. We developed four estimation methods that focused on the antibiotic-resistance attributable costs of hospitalization, second-line inpatient antibiotic use, second-line outpatient antibiotic use, and antibiotic stewardship, then summed the estimates across all methods.

Results

The total SCAR attributable to each ambulatory antibiotic prescription was estimated to be $13 (range: $3–$95). The greatest contributor to the total SCAR was the cost of hospitalization ($9; 69 % of the total SCAR). The costs of second-line inpatient antibiotic use ($1; 8 % of the total SCAR), second-line outpatient antibiotic use ($2; 15 % of the total SCAR) and antibiotic stewardship ($1; 8 %). This apperars to be an error.; of the total SCAR) were modest contributors to the total SCAR. Assuming an average antibiotic cost of $20, the total SCAR attributable to each ambulatory antibiotic prescription would increase antibiotic costs by 65 % (range: 15–475 %) if incorporated into antibiotic costs paid by patients or payers.

Conclusions

Each ambulatory antibiotic prescription is associated with a hidden SCAR that substantially increases the cost of an antibiotic prescription in the United States. This finding raises concerns regarding the magnitude of misalignment between individual and societal antibiotic costs.

Unremarked or Unperformed? Systematic Review on Reporting of Validation Efforts of Health Economic Decision Models in Seasonal Influenza and Early Breast Cancer

BACKGROUND

Transparent reporting of validation efforts of health economic models give stakeholders better insight into the credibility of model outcomes. In this study we reviewed recently published studies on seasonal influenza and early breast cancer in order to gain insight into the reporting of model validation efforts in the overall health economic literature.

METHODS

A literature search was performed in Pubmed and Embase to retrieve health economic modelling studies published between 2008 and 2014. Reporting on model validation was evaluated by checking for the word validation, and by using AdViSHE (Assessment of the Validation Status of Health Economic decision models), a tool containing a structured list of relevant items for validation. Additionally, we contacted corresponding authors to ask whether more validation efforts were performed other than those reported in the manuscripts.

RESULTS

A total of 53 studies on seasonal influenza and 41 studies on early breast cancer were included in our review. The word validation was used in 16 studies (30 %) on seasonal influenza and 23 studies (56 %) on early breast cancer; however, in a minority of studies, this referred to a model validation technique. Fifty-seven percent of seasonal influenza studies and 71 % of early breast cancer studies reported one or more validation techniques. Cross-validation of study outcomes was found most often. A limited number of studies reported on model validation efforts, although good examples were identified. Author comments indicated that more validation techniques were performed than those reported in the manuscripts.

CONCLUSIONS

Although validation is deemed important by many researchers, this is not reflected in the reporting habits of health economic modelling studies. Systematic reporting of validation efforts would be desirable to further enhance decision makers' confidence in health economic models and their outcomes.

Cost-utility analyses of drug therapies in breast cancer: a systematic review

The economic evaluation (EE) of health care products has become a necessity. Their quality must be high in order to trust the results and make informed decisions. While cost-utility analyses (CUAs) should be preferred to cost-effectiveness analyses in the oncology area, the quality of breast cancer (BC)-related CUA has been given little attention so far. Thus, firstly, a systematic review of published CUA related to drug therapies for BC, gene expression profiling, and HER2 status testing was performed. Secondly, the quality of selected CUA was assessed and the factors associated with a high-quality CUA identified. The systematic literature search was conducted in PubMed, MEDLINE/EMBASE, and Cochrane to identify published CUA between 2000 and 2014. After screening and data extraction, the quality of each selected CUA was assessed by two independent reviewers, using the checklist proposed by Drummond et al. The analysis of factors associated with a high-quality CUA (defined as a Drummond score ≥7) was performed using a two-step approach. Our systematic review was based on 140 CUAs and showed a wide variety of methodological approaches, including differences in the perspective adopted, the time horizon, measurement of cost and effectiveness, and more specially health-state utility values (HSUVs). The median Drummond score was 7 [range 3-10]. Only one in two of the CUA (n = 74) had a Drummond score ≥7, synonymous of "high quality." The statistically significant predictors of a high-quality CUA were article with "gene expression profiling" topic (p = 0.001), consulting or pharmaceutical company as main location of first author (p = 0.004), and articles with both incremental cost-utility ratio and incremental cost-effectiveness ratio as outcomes of EE (p = 0.02). Our systematic review identified only 140 CUAs published over the past 15 years with one in two of high quality. It showed a wide variety of methodological approaches, especially focused on HSUVs. A critical appraisal of utility values is necessary to better understand one of the main difficulties encountered by authors and propose areas for improvement to increase the quality of CUA. Since the last 5 years, there is a tendency toward an improvement in the quality of these studies, probably coupled with economic context, a better and widely spreading of recommendations and thus appropriation by medical practitioners. That being said, there is an urgent need for mandatory use of European and international recommendations to ensure quality of such approaches and to allow easy comparison.

A retrospective study of direct cost to patients associated with the use of oral oncology medications for the treatment of multiple myeloma

OBJECTIVE

To examine direct cost to patients associated with oral oncolytics for the management of multiple myeloma (MM) both before and after financial assistance, and assess the effect on adherence.

METHODS

In this retrospective study, pharmacy claims were analyzed for those patients with a diagnosis of MM who received thalidomide, lenalidomide, or pomalidomide from a large specialty pharmacy in the US between January 1, 2011, and December 31, 2013. Average direct cost to patients, per prescription, was analyzed both before and after financial assistance. Adherence was assessed through an analysis of medication possession ratio (MPR) for those patients who filled a prescription ≥2 times throughout the 3-year time period.

RESULTS

A total of 77,821 prescriptions for thalidomide, lenalidomide, and pomalidomide were filled by 6731 unique patients between January 1, 2011, and, December 31, 2013. The average direct cost to patients, per prescription, for any of these three agents was $227.23 prior to financial assistance and $80.11 after financial assistance, representing an average patient savings of $147.14 per prescription. Prior to financial assistance, the average direct cost to patients was ≤$50 for 57.6% of all prescriptions. After financial assistance, 86.2% of patients had a direct cost of ≤$50 per prescription. Adherence, as assessed by MPR, did not vary significantly based on direct cost to the patient.

LIMITATIONS

This study included patients receiving therapy from a single specialty pharmacy for a single indication. There may be patients included in the analysis who received prescriptions from other pharmacies prior to or after the prescriptions available for analysis. Most of the prescriptions included in the analysis were for lenalidomide.

CONCLUSIONS

This retrospective study demonstrated that the specialty pharmacy helped patients significantly reduce their direct cost expenditures by securing funding and co-pay assistance.

The change from brand-name to generic aromatase inhibitors and hormone therapy adherence for early-stage breast cancer

BACKGROUND

Nonadherence to hormonal therapy is common and is associated with increased copayment amount. We investigated the change in adherence after the introduction of generic aromatase inhibitors (AIs) in 2010.

METHODS

Using deidentified pharmacy and claims data from OptumInsight, we identified women older than 50 years on brand-name AIs (BAIs) and/or generic AIs (GAIs) for early breast cancer between January 1, 2007 and December 31, 2012. Clinical, demographic, and financial variables were evaluated. Adherence was defined as a medication possession ratio (MPR) 80% or greater.

RESULTS

We identified 5511 women, 2815 (51.1%) on BAI, 1411 (25.6%) on GAI, and 1285 (23.3%) who switched from BAI to GAI. The median 30-day copayment was higher for BAI ($33.3) than for GAI ($9.04). In a multivariable Cox-proportional hazard analysis, women who took GAI were less likely to discontinue therapy (hazard ratio [HR] = 0.69, 95% confidence interval [CI] = 0.57 to 0.84) compared with BAI. Discontinuation was positively associated with a higher monthly copayment of $15 to $30 (HR = 1.21, 95% CI = 1.01 to 1.44) and more than $30 (HR = 1.49, 95% CI = 1.23 to 1.80) compared with less than $15. In a multivariable logistic regression analysis, adherence (medication possession ratio ≥ 80%) was positively associated with GAI use (odds ratio = 1.53, 95% CI = 1.22 to 1.91) compared with BAI and inversely associated with increased monthly copayment. In addition, adherence was associated with a high annual income of more than $100k/year (odds ratio = 1.58, 95% CI = 1.17 to 2.11).

CONCLUSIONS

Higher prescription copayment amount was associated with nonadherence and discontinuation of AIs. After controlling for copayment, discontinuation was higher and adherence was lower with Brand AIs. Because nonadherence is associated with worse survival, efforts should be directed towards reducing out-of-pocket costs for these life-saving medications.

Value: a framework for radiation oncology

In the current health care system, high costs without proportional improvements in quality or outcome have prompted widespread calls for change in how we deliver and pay for care. Value-based health care delivery models have been proposed. Multiple impediments exist to achieving value, including misaligned patient and provider incentives, information asymmetries, convoluted and opaque cost structures, and cultural attitudes toward cancer treatment. Radiation oncology as a specialty has recently become a focus of the value discussion. Escalating costs secondary to rapidly evolving technologies, safety breaches, and variable, nonstandardized structures and processes of delivering care have garnered attention. In response, we present a framework for the value discussion in radiation oncology and identify approaches for attaining value, including economic and structural models, process improvements, outcome measurement, and cost assessment.