Assessment of Preference for Hormonal Treatment-Related Health States among Patients with Breast Cancer

A Systematic Literature Review of Health Utility Values in Breast Cancer

BACKGROUND

Health utility values (HUVs) are important inputs to the cost-utility analysis of breast cancer interventions.

PURPOSE

Provide a catalog of breast cancer-related published HUVs across different stages of breast cancer and treatment interventions.

DATA SOURCES

Systematic searches of MEDLINE, MEDLINE In-Process, EMBASE, Web of Science, CINAHL, PsycINFO, EconLit, and Cochrane databases (2005-2017).

STUDY SELECTION

Studies published in English that reported mean or median HUVs using direct or indirect methods of utility elicitation for breast cancer.

DATA EXTRACTION

Independent reviewers extracted data on a preestablished and piloted form; disagreements were resolved through discussion.

DATA ANALYSIS

Mixed-effects meta-regression using restricted maximum likelihood modeling was conducted for intervention type, stage of breast cancer, and typical clinical and treatment trajectory of breast cancer patients to assess the effect of study characteristics (i.e., sample size, utility elicitation method, and respondent type) on HUVs.

DATA SYNTHESIS

Seventy-nine studies were included in the review. Most articles (n = 52, 66%) derived HUVs using the EQ-5D. Patients with advanced-stage breast cancer (range, 0.08 to 0.82) reported lower HUVs as compared with patients with early-stage breast cancer (range, 0.58 to 0.99). The meta-regression analysis found that undergoing chemotherapy and surgery and radiation, being diagnosed with an advanced stage of breast cancer, and recurrent cancer were associated with lower HUVs. The members of the general public reported lower HUVs as compared with patients.

LIMITATIONS

There was considerable heterogeneity in the study population, health states assessed, and utility elicitation methods.

CONCLUSION

This review provides a catalog of published HUVs related to breast cancer. The substantial heterogeneity in the health utility studies makes it challenging for researchers to choose which HUVs to use in cost-utility analyses for breast cancer interventions.

Simulation of Chemotherapy Effects in Older Breast Cancer Patients With High Recurrence Scores

BACKGROUND

Tumor genomic expression profile data are used to guide chemotherapy choice, but there are gaps in evidence for women aged 65 years and older. We estimate chemotherapy effects by age and comorbidity level among women with early-stage, hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancers and Oncotype DX scores of 26 or higher.

METHODS

A discrete-time stochastic state transition simulation model synthesized data from population studies and clinical trials to estimate outcomes over a 25-year horizon for subgroups based on age (65-69, 70-74, 75-79, and 80-89 years) and comorbidity levels (no or low, moderate, severe). Outcomes were discounted at 3%, and included quality-adjusted life-years (QALYs), life-years, and breast cancer and other-cause mortality with chemoendocrine vs endocrine therapy. Sensitivity analysis tested the effect of varying uncertain parameters.

RESULTS

Women aged 65-69 years with no or low comorbidity gained 0.16 QALYs with chemo-endocrine and reduced breast cancer mortality from 34.8% to 29.7%, for an absolute difference of 5.1%; this benefit was associated with a 12.8% rate of grade 3-4 toxicity. Women aged 65-69 years with no or low or moderate comorbidity levels, and women aged 70-74 years with no or low comorbidity had small chemotherapy benefits. All women aged 75 years and older experienced net losses in QALYs with chemo-endocrine therapy. The results were robust in sensitivity analyses. Chemotherapy had greater benefits as treatment effectiveness increased, but toxicity reduced the QALYs gained.

CONCLUSION

Among women aged 65-89 years whose tumors indicate a high recurrence risk, only those aged 65-74 years with no or low or moderate comorbidity have small benefits from adding chemotherapy to endocrine therapy. Genomic expression profile testing (and chemotherapy use) should be reserved for women aged younger than 75 years without severe comorbidity.

A Meta-Regression Analysis of Utility Weights for Breast Cancer: The Power of Patients' Experience

To summarize utility estimates of breast cancer and to assess the relative impacts of study characteristics on predicting breast cancer utilities. We searched Medline, Embase, RISS, and KoreaMed from January 1996 to April 2019 to find literature reporting utilities for breast cancer. Thirty-five articles were identified, reporting 224 utilities. A hierarchical linear model was used to conduct a meta-regression that included disease stages, assessment methods, respondent type, age of the respondents, and scale bounds as explanatory variables. The utility for early and late-stage breast cancer, as estimated by using the time-tradeoff with the scales anchored by death to perfect health with non-patients, were 0.742 and 0.525, respectively. The severity of breast cancer, assessment method, and respondent type were significant predictors of utilities, but the age of the respondents and bounds of the scale were not. Patients who experienced the health states valued 0.142 higher than did non-patients (P <0.001). Besides the disease stage, the respondent type had the highest impact on breast cancer utility.

Cost-effectiveness of ribociclib as initial treatment for premenopausal women with advanced breast cancer in Singapore

BACKGROUND

CDK4/6 inhibitors have shown promising results for treating advanced breast cancer (ABC) and are routinely used in Singapore. In view of their high costs, it is important to assess their relative value compared to existing standards of care in the local setting.

AIMS

This study evaluates the cost-effectiveness of adding ribociclib to goserelin and a nonsteroidal aromatase inhibitor or tamoxifen as initial therapy for premenopausal women with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) ABC in Singapore.

METHODS

A partitioned survival model with four health states (progression-free on first-line treatment, progression-free on second-line treatment, progressed disease, and death) was developed from a healthcare system perspective over a 10-year time horizon. Key clinical inputs were derived from the MONALEESA-7 trial, and survival curves were extrapolated beyond the trial period. Health state utilities were derived from the literature and direct medical costs were obtained from local public healthcare institutions. A discount rate of 3% was applied to both costs and outcomes. One-way deterministic and probabilistic sensitivity analyses were conducted to explore uncertainties.

RESULTS

The base-case analysis resulted in an incremental cost-effectiveness ratio (ICER) of SGD197, 667 per quality-adjusted life-year. Sensitivity analyses showed that the ICER was sensitive to the survival parametric distribution, ribociclib price, time horizon, and utility weights used. Even when these were varied, ICERs remained high and not cost-effective in the local context.

CONCLUSION

At its current price, adding ribociclib to endocrine therapy is unlikely to be cost-effective in Singapore for HR+, HER2- ABC. Results from this study are useful to inform future funding decisions for CDK4/6 inhibitors alongside other factors including clinical effectiveness, safety, and budget impact considerations.

Patients' preferences for postmenopausal hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer treatments in Japan

Background

This study aimed to identify factors affecting patients’ preferences for postmenopausal hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) advanced breast cancer treatments, their relative importance, and impact of sociodemographic/clinical characteristics.

Methods

Japanese postmenopausal patients with HR+ breast cancer chose between 2 hypothetical treatments for HR+/HER2− advanced breast cancer using an online discrete choice experiment, defined by different levels of 5 attributes: progression-free survival (PFS), incidence of diarrhea (IOD), frequency of loose stools of grade 1–3 severity (FOS), duration of diarrhea (DOD), and route/frequency of administration (RFA). Conditional logit modeling identified relative preferences for each attribute. Subgroup analyses, based on sociodemographic characteristics (age, employment status, age of youngest child, marital status) and clinical characteristics (relapse/metastasis, hormone sensitivity), identified factors affecting preferences.

Results

Of 896 participants screened, 258 eligible participants were included in analyses. Patient preferences, when the potential frequency of diarrhea was grade 2, were (strongest to weakest): PFS, DOD, FOS, IOD, RFA; however, when the potential frequency of diarrhea was grade 3, FOS became most important. Sociodemographic/clinical characteristics tended to affect preferences.

Conclusions

Japanese postmenopausal patients with HR+ breast cancer preferred treatments that extend PFS despite potential grade 2 diarrhea. However, when diarrhea severity increased to grade 3, patients were more willing to sacrifice PFS to avoid more frequent diarrhea. Prevention or limitation of diarrhea to grade ≤ 2 is important for maintaining patients’ motivation for treatment that can extend PFS. Additionally, patient characteristics (age, family context, therapeutic experience) should be considered during treatment choice.

Electronic supplementary material

The online version of this article (10.1007/s12282-019-00965-4) contains supplementary material, which is available to authorized users.

Is BRCA Mutation Testing Cost Effective for Early Stage Breast Cancer Patients Compared to Routine Clinical Surveillance? The Case of an Upper Middle-Income Country in Asia

OBJECTIVE

Previous studies showed that offering BRCA mutation testing to population subgroups at high risk of harbouring the mutation may be cost effective, yet no evidence is available for low- or middle-income countries (LMIC) and in Asia. We estimated the cost effectiveness of BRCA mutation testing in early-stage breast cancer patients with high pre-test probability of harbouring the mutation in Malaysia, an LMIC in Asia.

METHODS

We developed a decision analytic model to estimate the lifetime costs and quality-adjusted life-years (QALYs) accrued through BRCA mutation testing or routine clinical surveillance (RCS) for a hypothetical cohort of 1000 early-stage breast cancer patients aged 40 years. In the model, patients would decide whether to accept testing and to undertake risk-reducing mastectomy, oophorectomy, tamoxifen, combinations or neither. We calculated the incremental cost-effectiveness ratio (ICER) from the health system perspective. A series of sensitivity analyses were performed.

RESULTS

In the base case, testing generated 11.2 QALYs over the lifetime and cost US$4815 per patient whereas RCS generated 11.1 QALYs and cost US$4574 per patient. The ICER of US$2725/QALY was below the cost-effective thresholds. The ICER was sensitive to the discounting of cost, cost of BRCA mutation testing and utility of being risk-free, but the ICERs remained below the thresholds. Probabilistic sensitivity analysis showed that at a threshold of US$9500/QALY, 99.9% of simulations favoured BRCA mutation testing over RCS.

CONCLUSIONS

Offering BRCA mutation testing to early-stage breast cancer patients identified using a locally-validated risk-assessment tool may be cost effective compared to RCS in Malaysia.