Treatment of early-stage breast cancer in the elderly: a health-outcome-based approach

Quality-adjusted life years for HER2-positive, early-stage breast cancer using trastuzumab-containing regimens in the context of cost-effectiveness studies: a systematic review

INTRODUCTION

This study aims to provide a comprehensive assessment of economic and health-related quality of life (HRQoL) outcomes for human epidermal growth factor receptor 2 (HER2)-positive, early-stage breast cancer patients treated with trastuzumab-containing regimens, by focusing on both Incremental Cost-Effectiveness Ratios (ICERs) and quality-adjusted life years (QALYs).

METHODS

A systematic search was conducted across PubMed, Embase, and Scopus databases without language or publication year restrictions. Two independent reviewers screened eligible studies, extracted data, and assessed methodology and reporting quality using the Drummond checklist and Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022), respectively. Costs were converted to US dollars (US$) for 2023 for cross-study comparison.

RESULTS

Twenty-two articles, primarily from high-income countries (HICs), were included, with ICERs ranging from US$13,176/QALY to US$254,510/QALY, falling within country-specific cost-effectiveness thresholds. A notable association was observed between higher QALYs and lower ICERs, indicating a favorable cost-effectiveness and health outcome relationship. EQ-5D was the most utilized instrument for assessing health state utility values, with diverse targeted populations.

CONCLUSIONS

Studies reporting higher QALYs tend to have lower ICERs, indicating a positive relationship between cost-effectiveness and health outcomes. However, challenges such as methodological heterogeneity and transparency in utility valuation persist, underscoring the need for standardized guidelines and collaborative efforts among stakeholders.

REGISTRATION

PROSPERO ID: CRD42021259826.

Does Methodological Guidance Produce Consistency? A Review of Methodological Consistency in Breast Cancer Utility Value Measurement in NICE Single Technology Appraisals

Since 2004, National Institute for Health and Care Excellence (NICE) methodological guidance for technology appraisals has emphasised a strong preference for using the validated EuroQol 5-Dimensions (EQ-5D) quality-of-life instrument, measuring patient health status from patients or carers, and using the general public's preference-based valuation of different health states when assessing health benefits in economic evaluations. The aim of this study was to review all NICE single technology appraisals (STAs) for breast cancer treatments to explore consistency in the use of utility scores in light of NICE methodological guidance. A review of all published breast cancer STAs was undertaken using all publicly available STA documents for each included assessment. Utility scores were assessed for consistency with NICE-preferred methods and original data sources. Furthermore, academic assessment group work undertaken during the STA process was examined to evaluate the emphasis of NICE-preferred quality-of-life measurement methods. Twelve breast cancer STAs were identified, and many STAs used evidence that did not follow NICE's preferred utility score measurement methods. Recent STA submissions show companies using EQ-5D and mapping. Academic assessment groups rarely emphasized NICE-preferred methods, and queries about preferred methods were rare. While there appears to be a trend in recent STA submissions towards following NICE methodological guidance, historically STA guidance in breast cancer has generally not used NICE's preferred methods. Future STAs in breast cancer and reviews of older guidance should ensure that utility measurement methods are consistent with the NICE reference case to help produce consistent, equitable decision making.

A systematic review and economic evaluation of diagnostic strategies for Lynch syndrome

BACKGROUND

Lynch syndrome (LS) is an inherited autosomal dominant disorder characterised by an increased risk of colorectal cancer (CRC) and other cancers, and caused by mutations in the deoxyribonucleic acid (DNA) mismatch repair genes.

OBJECTIVE

To evaluate the accuracy and cost-effectiveness of strategies to identify LS in newly diagnosed early-onset CRC patients (aged < 50 years). Cascade testing of relatives is employed in all strategies for individuals in whom LS is identified.

DATA SOURCES AND METHODS

Systematic reviews were conducted of the test accuracy of microsatellite instability (MSI) testing or immunohistochemistry (IHC) in individuals with CRC at risk of LS, and of economic evidence relating to diagnostic strategies for LS. Reviews were carried out in April 2012 (test accuracy); and in February 2012, repeated in February 2013 (economic evaluations). Databases searched included MEDLINE (1946 to April week 3, 2012), EMBASE (1980 to week 17, 2012) and Web of Science (inception to 30 April 2012), and risk of bias for test accuracy was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) quality appraisal tool. A de novo economic model of diagnostic strategies for LS was developed.

RESULTS

Inconsistencies in study designs precluded pooling of diagnostic test accuracy results from a previous systematic review and nine subsequent primary studies. These were of mixed quality, with significant methodological concerns identified for most. IHC and MSI can both play a part in diagnosing LS but neither is gold standard. No UK studies evaluated the cost-effectiveness of diagnosing and managing LS, although studies from other countries generally found some strategies to be cost-effective compared with no testing. The de novo model demonstrated that all strategies were cost-effective compared with no testing at a threshold of £20,000 per quality-adjusted life-year (QALY), with the most cost-effective strategy utilising MSI and BRAF testing [incremental cost-effectiveness ratio (ICER) = £5491 per QALY]. The maximum health benefit to the population of interest would be obtained using universal germline testing, but this would not be a cost-effective use of NHS resources compared with the next best strategy. When the age limit was raised from 50 to 60 and 70 years, the ICERs compared with no testing increased but remained below £20,000 per QALY (except for universal germline testing with an age limit of 70 years). The total net health benefit increased with the age limit as more individuals with LS were identified. Uncertainty was evaluated through univariate sensitivity analyses, which suggested that the parameters substantially affecting cost-effectiveness: were the risk of CRC for individuals with LS; the average number of relatives identified per index patient; the effectiveness of colonoscopy in preventing metachronous CRC; the cost of colonoscopy; the duration of the psychological impact of genetic testing on health-related quality of life (HRQoL); and the impact of prophylactic hysterectomy and bilateral salpingo-oophorectomy on HRQoL (this had the potential to make all testing strategies more expensive and less effective than no testing).

LIMITATIONS

The absence of high-quality data for the impact of prophylactic gynaecological surgery and the psychological impact of genetic testing on HRQoL is an acknowledged limitation.

CONCLUSIONS

Results suggest that reflex testing for LS in newly diagnosed CRC patients aged < 50 years is cost-effective. Such testing may also be cost-effective in newly diagnosed CRC patients aged < 60 or < 70 years. Results are subject to uncertainty due to a number of parameters, for some of which good estimates were not identified. We recommend future research to estimate the cost-effectiveness of testing for LS in individuals with newly diagnosed endometrial or ovarian cancer, and the inclusion of aspirin chemoprevention. Further research is required to accurately estimate the impact of interventions on HRQoL.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42012002436.

FUNDING

The National Institute for Health Research Health Technology Assessment programme.

OARSI Clinical Trials Recommendations: Design and conduct of clinical trials for primary prevention of osteoarthritis by joint injury prevention in sport and recreation

The risk of post-traumatic osteoarthritis (PTOA) substantially increases following joint injury. Research efforts should focus on investigating the efficacy of preventative strategies in high quality randomized controlled trials (RCT). The objective of these OARSI RCT recommendations is to inform the design, conduct and analytical approaches to RCTs evaluating the preventative effect of joint injury prevention strategies. Recommendations regarding the design, conduct, and reporting of RCTs evaluating injury prevention interventions were established based on the consensus of nine researchers internationally with expertise in epidemiology, injury prevention and/or osteoarthritis (OA). Input and resultant consensus was established through teleconference, face to face and email correspondence over a 1 year period. Recommendations for injury prevention RCTs include context specific considerations regarding the research question, research design, study participants, randomization, baseline characteristics, intervention, outcome measurement, analysis, implementation, cost evaluation, reporting and future considerations including the impact on development of PTOA. Methodological recommendations for injury prevention RCTs are critical to informing evidence-based practice and policy decisions in health care, public health and the community. Recommendations regarding the interpretation and conduct of injury prevention RCTs will inform the highest level of evidence in the field. These recommendations will facilitate between study comparisons to inform best practice in injury prevention that will have the greatest public health impact.

The cost-effectiveness of a pharmacogenetic test: a trial-based evaluation of TPMT genotyping for azathioprine

BACKGROUND

Thiopurine-methyl transferase (TPMT) testing prior to the prescription of azathioprine in autoimmune diseases is one of the few examples of a pharmacogenetic test that has made the transition from research into clinical practice. TPMT testing could lead to improved prescribing of azathioprine resulting in a reduction in adverse drug reactions as well as an improvement in effectiveness. When allocating scarce resources robust evidence on cost-effectiveness is required.

OBJECTIVE

This study aimed to evaluate the cost-effectiveness of a TPMT genotyping test to inform azathioprine prescribing in autoimmune diseases. The secondary aim of this study was to demonstrate the complexity of undertaking a trial-based evaluation of a pharmacogenetic test.

METHODS

A prospective economic evaluation was conducted alongside the TARGET (TPMT: Azathioprine Response to Genotype and Enzyme Testing) study, a pragmatic controlled trial that randomized (1:1) patients to undergo TPMT genotyping before azathioprine (n = 167) or current practice (n = 166). Assuming the UK health service perspective and a time horizon of 4 months, resource-use and health status data were collected prospectively for all recruited patients.

RESULTS

The mean incremental cost for TPMT genotyping and subsequent care pathways compared with current practice for the 4-month follow-up was -£421.06 (95% confidence interval -£925.15 to £89.75). Mean incremental quality-adjusted life-years were close to zero but negative: -0.008 (95% confidence interval -0.017 to 0.0002). Assuming a threshold of £20,000 per quality-adjusted life-year, the expected incremental net benefit of introducing the test is £256.89 (95% CI -£425.94 to £932.86).

CONCLUSIONS

TPMT genotyping potentially offers a less expensive alternative than current practice, but it may also have a small but negative effect on health status. These findings are associated with significant uncertainty, and the causal effect of TPMT genotyping on changes in health status and health care resource use remains uncertain. The results from this study therefore pose a difficult challenge to decision makers.

A C++ program to calculate sample sizes for cost-effectiveness trials in a Bayesian framework

Cost-Effectiveness Analysis (CEA) has become an increasingly important component of clinical trials. However, formal sample size calculations for such studies are not common. One of the reasons for this might be due to the absence of readily available computer software to perform complex calculations, particularly in a Bayesian setting. In this paper, a C++ program (using NAG library functions/subroutines) is presented to estimate the sample sizes for cost-effectiveness clinical trials in a Bayesian framework. The program can equally be used to calculate sample sizes for efficacy trials. The Bayesian approach to sample size calculation is based on that of O'Hagan and Stevens (A. O'Hagan, J.W. Stevens, Bayesian assessment of sample size for clinical trials of cost-effectiveness, Medical Decision Making 21 (2001) 219-230). With this program, the user can calculate sample sizes for various thresholds of willingness to pay and under various assumptions of the correlations between cost and effects. Under some prior, the program produces frequentist sample size as well. The program runs under windows environment and running time is very short.

A model of cost-effectiveness of tissue plasminogen activator in patient subgroups 3 to 4.5 hours after onset of acute ischemic stroke

STUDY OBJECTIVE

The European Cooperative Acute Stroke Study III (ECASS III) showed that recombinant tissue plasminogen activator (rtPA) administered 3 to 4.5 hours after acute ischemic stroke led to improvement in patient disability versus placebo. We evaluate the long-term incremental cost-effectiveness of rtPA administered 3 to 4.5 hours after acute ischemic stroke onset versus no treatment according to patient clinical and demographic factors.

METHODS

We developed a disease-based decision analytic model to project lifetime outcomes of patients post-acute ischemic stroke from the payer perspective. Clinical data were derived from the ECASS III trial, longitudinal cohort studies, and health state preference studies. Cost data were based on Medicare reimbursement and other published sources. We performed probabilistic sensitivity analyses to evaluate uncertainty in the analysis.

RESULTS

rtPA in a hypothetical cohort resulted in a gain of 0.07 years of life (95% credible range 0.0005 to 0.17) and 0.24 quality-adjusted life-years (95% credible range 0.01 to 0.60) and a difference in cost of $1,495 (95% credible range -$4,637 to $6,100) compared with placebo. The incremental cost-effectiveness ratio for all patients was $6,255 per quality-adjusted life-year gained; for patients younger than 65 years, cost saving; for patients aged 65 years or older, $35,813 per quality-adjusted life-year; for patients with baseline National Institutes of Health Stroke Scale (NIHSS) score 0 to 9, $16,322 per quality-adjusted life-year; for patients with NIHSS score 10 to 19, $37,462 per quality-adjusted life-year; and for patients with NIHSS score greater than or equal to 20, $2,432 per quality-adjusted life-year. The majority of other subgroups such as sex, history of stroke, and history of hypertension were either cost saving or cost-effective, with the exceptions of diabetes and atrial fibrillation.

CONCLUSION

The results indicate that rtPA in the 3- to 4.5-hour therapeutic window provides improvement in long-term patient outcomes in most patient subgroups and is a good economic value versus no treatment.

An open, parallel, randomized, comparative, multicenter study to evaluate the cost-effectiveness, performance, tolerance, and safety of a silver-containing soft silicone foam dressing (intervention) vs silver sulfadiazine cream

An open, parallel, randomized, comparative, multicenter study was implemented to evaluate the cost-effectiveness, performance, tolerance, and safety of a silver-containing soft silicone foam dressing (Mepilex Ag) vs silver sulfadiazine cream (control) in the treatment of partial-thickness thermal burns. Individuals aged 5 years and older with partial-thickness thermal burns (2.5-20% BSA) were randomized into two groups and treated with the trial products for 21 days or until healed, whichever occurred first. Data were obtained and analyzed on cost (direct and indirect), healing rates, pain, comfort, ease of product use, and adverse events. A total of 101 subjects were recruited. There were no significant differences in burn area profiles within the groups. The cost of dressing-related analgesia was lower in the intervention group (P = .03) as was the cost of background analgesia (P = .07). The mean total cost of treatment was $309 vs $513 in the control (P < .001). The average cost-effectiveness per treatment regime was $381 lower in the intervention product, producing an incremental cost-effectiveness ratio of $1688 in favor of the soft silicone foam dressing. Mean healing rates were 71.7 vs 60.8% at final visit, and the number of dressing changes were 2.2 vs 12.4 in the treatment and control groups, respectively. Subjects reported significantly less pain at application (P = .02) and during wear (P = .048) of the Mepilex Ag dressing in the acute stages of wound healing. Clinicians reported the intervention dressing was significantly easier to use (P = .03) and flexible (P = .04). Both treatments were well tolerated; however, the total incidence of adverse events was higher in the control group. The silver-containing soft silicone foam dressing was as effective in the treatment of patients as the standard care (silver sulfadiazine). In addition, the group of patients treated with the soft silicone foam dressing demonstrated decreased pain and lower costs associated with treatment.

The utility of health and wealth

Tradeoffs between health and wealth are among the most important decisions individuals make, and are central to social and economic policy. Yet, only a few studies have investigated the utility of health and wealth empirically. This paper investigates this utility function both theoretically and empirically. We conduct detailed personal interviews with 180 cancer patients, and also obtain questionnaires from 132 diabetes patients. We find strong support for the utility function U(h, w)=h·log(w), where h denotes health and w denotes wealth.

A cost-effectiveness analysis of prophylactic surgery versus gynecologic surveillance for women from hereditary non-polyposis colorectal cancer (HNPCC) Families

Women at risk for Lynch Syndrome/HNPCC have an increased lifetime risk of endometrial and ovarian cancer. This study investigates the cost-effectiveness of prophylactic surgery versus surveillance in women with Lynch Syndrome. A decision analytic model was designed incorporating key clinical decisions and existing probabilities, costs, and outcomes from the literature. Clinical forum where risk-reducing surgery and surveillance were considered. A theoretical population of women with Lynch Syndrome at age 30 was used for the analysis. A decision analytic model was designed comparing the health outcomes of prophylactic hysterectomy with bilateral salpingo-oophorectomy at age 30 versus annual gynecologic screening versus annual gynecologic exam. The literature was searched for probabilities of different health outcomes, results of screening modalities, and costs of cancer diagnosis and treatment. Cost-effectiveness expressed in dollars per discounted life-years. Risk-reducing surgery is the least expensive option, costing $23,422 per patient for 25.71 quality-adjusted life-years (QALYs). Annual screening costs $68,392 for 25.17 QALYs; and annual examination without screening costs $100,484 for 24.60 QALYs. Further, because risk-reducing surgery leads to both the lowest costs and the highest number of QALYs, it is a dominant strategy. Risk-reducing surgery is the most cost-effective option from a societal healthcare cost perspective.

Sample size determination for cost-effectiveness trials

Methods for determining sample size requirements for cost-effectiveness studies are reviewed and illustrated. Traditional methods based on tests of hypothesis and power arguments are given for the incremental cost-effectiveness ratio and incremental net benefit (INB). In addition, a full Bayesian approach using decision theory to determine optimal sample size is given for INB. The full Bayesian approach, based on the value of information, is proposed in reaction to concerns that traditional methods rely on arbitrarily chosen error probabilities and an ill-defined notion of the smallest clinically important difference. Furthermore, the results of cost-effectiveness studies are used for decision making (e.g. should a new intervention be adopted or the old one retained), and employing decision theory, which permits optimal use of current information and the optimal design of new studies, provides a more consistent approach.

Guidelines for conducting and reporting economic evaluation of fall prevention strategies

Falls in older people result in substantial health burden. Compelling evidence indicates that falls can be prevented. We developed comprehensive guidelines for economic evaluations of fall prevention interventions to facilitate publication of high-quality economic evaluations of the effective strategies and aid decision making.

INTRODUCTION

The importance of economics applied to falls and fall prevention in older people has largely been overlooked. The use of different methodologies to assess the costs and health benefits of the interventions and their comparators and the inconsistent reporting in the studies limits the usefulness of these economic evaluations for decision making. We developed guidelines to encourage and facilitate completion of high-quality economic evaluations of effective fall prevention strategies.

METHODS

We used a generic checklist for economic evaluations as a platform to develop comprehensive guidelines for conducting and reporting economic evaluations of fall prevention strategies. We considered the many challenges involved, particularly in identifying, measuring, and valuing the relevant cost items.

RESULTS

We recommend researchers include cost outcomes and report incremental cost-effectiveness ratios in terms of falls prevented and quality adjusted life years in all clinical trials of fall prevention interventions. Studies should include the following cost categories: (1) implementing the intervention, (2) delivering the comparator group intervention, (3) total health care costs, (4) costs of fall-related health care resource use, and (5) personal and informal carer opportunity costs.

CONCLUSIONS

This paper provides a timely benchmark to promote comparability and consistency for conducting and reporting economic evaluations of fall prevention strategies.

Power and sample size for cost-effectiveness analysis: fFN neonatal screening

Randomised controlled trials (RCTs) which involve cost-effectiveness evaluations rarely use health economic input when undertaking sample size calculations for the trial design; however, in studies undertaken with cost-effectiveness as the primary outcome, sample size calculations should be directly related to the cost-effectiveness result rather than to the effectiveness outcome alone. This paper reports on a case in which a clinical trial design sample size and power calculations were determined with regard to cost-effectiveness using the net monetary benefit (NMB) approach to demonstrate the feasibility of sample size calculation for cost-effectiveness in a real life setting. The proposed RCT of fetal fibronectin screening (fFN) for women with threatened pre-term labour is discussed, followed by the design of a preliminary model to inform the trial design calculation. The predictions from this pre-trial indicate potential cost-savings, but with a marginal detrimental impact on the effectiveness endpoint, neonatal morbidity. The NMB approach for cost-effectiveness is discussed and used to calculate the required sample sizes for different powers. The sample size calculations are then recalculated using a non-inferiority margin, to ensure that the NMB sample size for the trial was also sufficient to demonstrate non-inferiority for the effectiveness endpoint. Finally, a probabilistic analysis explored uncertainty in the model parameters and the impact on sample size. Considerations of economic assessments alongside clinical trials can and should be used to guide conventional trial design. This paper demonstrates the feasibility of such calculations, whilst simultaneously highlighting limitations and demonstrating the role for economic considerations to guide non-inferiority margins.

Sample size and power for cost-effectiveness analysis (part 1)

Basic sample size and power formulae for cost-effectiveness analysis have been established in the literature. These formulae are reviewed and the similarities and differences between sample size and power for cost-effectiveness analysis and for the analysis of other continuous variables such as changes in blood pressure or weight are described. The types of sample size and power tables that are commonly calculated for cost-effectiveness analysis are also described and the impact of varying the assumed parameter values on the resulting sample size and power estimates is discussed. Finally, the way in which the data for these calculations may be derived are discussed.

Transferability of model-based economic evaluations: the case of trastuzumab for the adjuvant treatment of HER2-positive early breast cancer in the Netherlands

INTRODUCTION

Geographic transferability of model-based cost-effectiveness results may facilitate and shorten the reimbursement process of new pharmaceuticals. This study provides a real world example of transferring a cost-effectiveness study of trastuzumab for the adjuvant treatment of HER2-positive early breast cancer from the United Kingdom to The Netherlands.

METHODS

Three successive steps were taken. Step 1: Collect available information with regard to the original model, and assess transferability using existing checklists. Step 2: Adapt transferability-limiting factors. Step 3: Obtain a country-specific estimate of cost-effectiveness.

RESULTS

The structure of the UK model was transferable, although some of the model inputs needed adaptation. From a health-care perspective, the Dutch estimate amounted to euro5828/quality-adjusted life-year gained. From a societal perspective, the incremental cost-effectiveness ratio was dominant.

CONCLUSION

Transferability of a model-based UK-study in three steps proved to be an efficient method to provide an early indication of the cost-effectiveness of trastuzumab and has led to the provisional reimbursement of the treatment.

Cost Effectiveness of Exemestane versus Tamoxifen in Post-Menopausal Women with Early Breast Cancer in Germany

BACKGROUND: Medical studies have shown that switching to exemestane after 2-3 years of adjuvant treatment with tamoxifen is effective when looking at overall survival. No cost effectiveness study of exemestane has been conducted in the German health care context. PATIENTS AND METHODS: To assess the cost effectiveness of switching to exemestane vs. continued tamoxifen therapy for early-stage breast cancer, a Markov model was developed. The model population was set as postmenopausal women who are in remission from early-stage breast cancer. Upon model entry, either a continuing daily therapy with 20 mg tamoxifen or a switch to 25 mg exemestane for the next 2-3 years takes place. The model takes a German health care perspective. RESULTS: The total incremental costs of exemestane on a lifetime basis are 4,195 Euro, resulting in an incremental cost effectiveness ratio of 17,632 Euro per additional quality-adjusted life year (QALY), or 16,857 Euro per life year gained. Incremental costs per disease-free year of survival are 12,851 Euro. Probabilistic sensitivity analyses proved the robustness of these findings. CONCLUSION: Compared to extended tamoxifen therapy, switching to exemestane after 2-3 years turned out to be a cost-effective strategy in adjuvant therapy for early-stage breast cancer in postmenopausal women within the German health care context.

The ISPOR Good Practices for Quality Improvement of Cost-Effectiveness Research Task Force Report

OBJECTIVES

The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Health Science Policy Council recommended and the ISPOR Board of Directors approved the formation of a Task Force to critically examine the major issues related to Quality Improvement in Cost-effectiveness Research (QICER). The Council's primary recommendation for this Task Force was that it should report on the quality of cost-effectiveness research and make recommendations to facilitate the improvement of pharmacoeconomics and health outcomes research and its use in stimulating better health care and policy. Task force members were knowledgeable and experienced in medicine, pharmacy, biostatistics, health policy and health-care decision-making, biomedical knowledge transfer, health economics, and pharmacoeconomics. They were drawn from industry, academia, consulting organizations, and advisors to governments and came from Japan, the Netherlands, Canada and the United States.

METHODS

Face-to-face meetings of the Task Force were held at ISPOR North American and European meetings and teleconferences occurred every few months. Literature reviews and surveys were conducted and the first preliminary findings presented at an open forum at the May 2008 ISPOR meeting in Toronto. The final draft report was circulated to the expert reviewer group and then to the entire membership for comment. The draft report was posted on the ISPOR Web site in April 2009. All formal comments received were posted to the association Web site and presented for discussion at the Task Force forum during the ISPOR 14th Annual International Meeting in May 2009. Comments and feedback from the forums, reviewers and membership were considered in the final report. Once Task Force consensus was reached, the article was submitted to Value in Health.

CONCLUSIONS

The QICER Task Force recommends that ISPOR implement the following: * With respect to CER guidelines, that ISPOR promote harmonization of guidelines, allowing for differences in application, regional needs and politics; evaluate available instruments or promote development of a new one that will allow standardized quantification of the impact of CER guidelines on the quality of CER studies; report periodically on those countries or regions that have developed guidelines; periodically evaluate the quality of published studies (those journals with CER guidances) or those submitted to decision-making bodies (as public transparency increases). * With respect to methodologies, that ISPOR promote publication of methodological guidelines in more applied journals in more easily understandable format to transfer knowledge to researchers who need to apply more rigorous methods; promote full availability of models in electronic format to combat space restrictions in hardcopy publications; promote consistency of methodological review for all CER studies; promote adoption of explicit best practices guidelines among regulatory and reimbursement authorities; periodically update all ISPOR Task Force reports; periodically review use of ISPOR Task Force guidelines; periodically report on statistical and methodological challenges in HE; evaluate periodically whether ISPOR's methodological guidelines lead to improved quality; and support training and knowledge transfer of rigorous CER methodologies to researchers and health care decision-makers. * With respect to publications, that ISPOR develop standard CER guidances to which journals will be able to refer their authors and their reviewers; lobby to establish these guidances within the International Committee for Medical Journal Editors (ICMJE) Requirements to which most journals refer in their Author Instructions; provide support in terms of additional reviewer expertise to those journals lacking appropriate reviewers; periodically report on journals publishing CER research; periodically report on the quality of CER publications; and support training and knowledge transfer of the use of these guidelines to researchers and reviewers. * With respect to evidence-based health-care decision-making, that ISPOR recognize at its annual meetings those countries/agencies/private companies/researchers using CER well, and those practitioners and researchers supporting good patient use of CER in decision-making; and promote public presentation of case studies of applied use of CER concepts or guidelines.

An economic evaluation of adjuvant trastuzumab therapy in HER2-positive early breast cancer

OBJECTIVE

One-year adjuvant trastuzumab therapy increases disease-free and overall survival in the adjuvant treatment of early HER2-positive breast cancer. This study aims to assess the long-term cost-effectiveness of adjuvant trastuzumab treatment in Beijing, Shanghai, and Guangzhou.

METHODS

A Markov health-state transition model was constructed to simulate the natural development of breast cancer based on HERceptin Adjuvant (HERA) trial, estimate costs and disease progression over a lifetime perspective with annual transition cycles, and evaluate the cost-effectiveness of 1-year adjuvant trastuzumab treatment group compared with the standard adjuvant chemotherapy. From the perspective of a China health insurance system, cost was calculated based on a survey from clinical expert panels.

RESULTS

On the basis of HERA data, the model results showed that the utilization of adjuvant trastuzumab treatment in early breast cancer can prolong 2.87 life years, compared with the standard chemotherapy group. The incremental cost for an additional life-year gained (LYG) was US$7564, US$7933, and US$7929 in Beijing, Shanghai, and Guangzhou, respectively. If measured by quality-adjusted life-year, the incremental cost-effectiveness ratio was US$7676, US$8049, and US$8046, respectively.

CONCLUSION

The results suggest that the 1-year adjuvant trastuzumab treatment is cost-effective. Both clinical and economic benefits were superior for the 1-year adjuvant trastuzumab treatment group compared with the standard adjuvant chemotherapy group.

Trastuzumab treatment of early stage breast cancer is cost-effective from the perspective of the Belgian health care authorities

Trastuzumab (Herceptin, Roche) is a recombinant, humanized monoclonal antibody directed against the neu-HER2 protein, since May 2002 reimbursed in Belgium for the treatment of metastatic HER2+ breast cancer and since June 2007 also in adjuvant therapy of HER2+ early stage breast cancer. The purpose of this study was to estimate the cost-effectiveness from the Belgian health care payer perspective of reimbursing trastuzumab in the Latter indication. A Markov state transition model was designed to adequately capture the natural history and course of disease for early stage breast cancer patients, and to simulate cost and disease progression over a life time perspective. The model estimates differences in outcomes for patients treated with adjuvant trastuzumab during 1 year compared to current therapy, and captures cost consequences and health benefits of trastuzumab treatment. Health benefits were expressed in terms of quality-adjusted life years gained, and future benefits were discounted at 1.5%. Costs were calculated from the perspective of the Belgian authorities' health care budget, and future costs were discounted at 3%. Where relevant, the costs per Markov state were obtained from the IMS Hospital Disease database. Additionally, an expert opinion analysis on resource use during the follow-up of treated early breast cancer patients provided the cost estimates for states with minor or without hospital costs. The incremental cost-effectiveness ratio based on a life time simulation was estimated at Euro 10,315 per quality-adjusted life year gained. It can be concluded that trastuzumab treatment of HER2+ early stage breast cancer patients is cost-effective from the perspective of the Belgian health care authorities.

Cost-effectiveness analysis of prevention strategies for gynecologic cancers in Lynch syndrome

BACKGROUND

Women with Lynch syndrome (hereditary nonpolyposis colorectal cancer) have an increased lifetime risk for endometrial and ovarian cancer. Screening and prophylactic surgery have been recommended as prevention strategies. In this study, the authors estimated the net health benefits and cost-effectiveness of these strategies in a Markov decision-analytic model.

METHODS

Five strategies were compared for a hypothetical cohort of women with Lynch syndrome: 1) no prevention ('reference'); 2) prophylactic surgery (hysterectomy and bilateral salpingo-oophorectomy) at age 30 years; 3) prophylactic surgery at age 40 years; 4) annual screening with endometrial biopsy, transvaginal ultrasound, and CA 125 from age 30 years; and 5) annual screening from age 30 years until prophylactic surgery at age 40 years (combined strategy). Net health benefit was measured in quality-adjusted life years (QALYs), and the primary outcome measured was the incremental cost-effectiveness ratio (ICER). Baseline and transition probabilities were obtained from published literature, and costs were from the U.S. Department of Health and Human Services and Agency for Health Care Quality and Research. Sensitivity analyses were performed for uncertainty around various parameters.

RESULTS

The combined strategy provided the highest net health benefit (18.98 QALYs) but had an ICER of $194,650 per QALY relative to the next best strategy (prophylactic surgery at age 40 years). Prophylactic surgery at age 30 years and annual screening were dominated by alternate strategies.

CONCLUSIONS

Annual screening followed by prophylactic surgery at age 40 years was the most effective gynecologic cancer prevention strategy, but the incremental benefit over prophylactic surgery alone was attained at substantial cost. The ICER would become favorable by improving the effectiveness and reducing the costs of screening in this population.

Incremental cost-effectiveness ratios (ICERs): The silence of the lambda

Despite the central role of the threshold incremental cost-effectiveness ratio (ICER), or lambda (lambda), in the methods and application of cost-effective analysis (CEA), little attention has been given to the determining the value of lambda. In this paper we consider 'what explains the silence of the lambda'? The concept of the threshold ICER is critically appraised. We show that there is 'silence of the lambda' with respect to justification of the value of ICER thresholds, their use in decision-making and their relationship to the opportunity cost of marginal resources. Moreover, the 'sound of silence' extends to both 'automatic cut-off' and more sophisticated approaches to the use of lambda in determining recommendations about health care programs. We argue that the threshold value provides no useful information for determining the efficiency of using available resources to support new health care programs. On the contrary, the threshold approach has lead to decisions that resulted in increased expenditures on health care programs and concerns about the sustainability of public funding for health care programs without any evidence of increases in total health gains. To improve efficiency in resource allocation, decision-makers need information about the opportunity costs of programs.

Meta-analysis and structured literature review in radiology

The overall goal of a systematic review or meta-analysis is to combine results of previous studies to arrive at summary conclusions about a body of research. In radiology, systematic reviews or meta-analyses can be used to calculate a summary estimate of effect size of a treatment that used imaging data to assess outcomes in observational or randomized controlled clinical trials, estimate the clinical effectiveness of an imaging-guided therapy procedure, evaluate the summary diagnostic accuracy of an imaging test, or synthesize results of economic evaluations that used imaging data. This article outlines the general concepts of structured literature reviews and discusses the approaches for conducting a meta-analysis in radiology, emphasizing the methods available for data synthesis and handling heterogeneity between and among studies.

Thinking outside the box: recent advances in the analysis and presentation of uncertainty in cost-effectiveness studies

As many more clinical trials collect economic information within their study design, so health economics analysts are increasingly working with patient-level data on both costs and effects. In this paper, we review recent advances in the use of statistical methods for economic analysis of information collected alongside clinical trials. In particular, we focus on the handling and presentation of uncertainty, including the importance of estimation rather than hypothesis testing, the use of the net-benefit statistic, and the presentation of cost-effectiveness acceptability curves. We also discuss the appropriate sample size calculations for cost-effectiveness analysis at the design stage of a study. Finally, we outline some of the challenges for future research in this area-particularly in relation to the appropriate use of Bayesian methods and methods for analyzing costs that are typically skewed and often incomplete.

Analysis, sample size, and power for estimating incremental net health benefit from clinical trial data

Stinnett and Mullahy recently introduced the concept of net health benefit as an alternative to cost-effectiveness ratios for the statistical analysis of patient-level data on the costs and health effects of competing interventions. Net health benefit addresses a number of problems associated with cost-effectiveness ratios by assuming a value for the willingness-to-pay for a unit of effectiveness. We extend the concept of net health benefit to demonstrate that standard statistical procedures can be used for the analysis, power, and sample size determinations of cost-effectiveness data. We also show that by varying the value of the willingness-to-pay, the point estimate and confidence interval for the incremental cost-effectiveness ratio can be determined. An example is provided.

Addressing uncertainty in medical cost-effectiveness analysis implications of expected utility maximization for methods to perform sensitivity analysis and the use of cost-effectiveness analysis to set priorities for medical research

This paper examines the objectives for performing sensitivity analysis in medical cost-effectiveness analysis and the implications of expected utility maximization for methods to perform such analyses. The analysis suggests specific approaches for optimal decision making under uncertainty and specifying such decisions for subgroups based on the ratio of expected costs to expected benefits, and for valuing research using value of information calculations. Though ideal value of information calculations may be difficult, certain approaches with less stringent data requirements may bound the value of information. These approaches suggest methods by which the vast cost-effectiveness literature may help inform priorities for medical research.

One thousand health-related quality-of-life estimates

OBJECTIVE

Analysts performing cost-effectiveness analyses often do not have the resources to gather original quality-of-life (QOL) weights. Furthermore, variability in QOL for the same health state hampers the comparability of cost-effectiveness analyses. For these reasons, opinion leaders such as the Panel on Cost-Effectiveness in Health and Medicine have called for a national repository of QOL weights. Some authors have responded to the call by performing large primary studies of QOL. We take a different approach, amassing existing data with the hope that it will be combined responsibly in meta-analytic fashion. Toward the goal of developing a national repository of QOL weights to aid cost-effectiveness analysts, 1,000 health-related QOL estimates were gathered from publicly available source documents.

METHODS

To identify documents, we searched databases and reviewed the bibliographies of articles, books, and government reports. From each document, we extracted information on the health state, QOL weight, assessment method, respondents, and upper and lower bounds of the QOL scale. Detailed guidelines were followed to ensure consistency in data extraction.

RESULTS

We identified 154 documents yielding 1,000 original QOL weights. There was considerable variation in the weights assessed by different authors for the same health state. Methods also varied: 51% of authors used direct elicitation (standard gamble, time tradeoff, or rating scale), 32% estimated QOL based on their own expertise or that of others, and 17% used health status instruments.

CONCLUSIONS

This comprehensive review of QOL data should lead to more consistent use of QOL weights and thus more comparable cost-effectiveness analyses.

Analysis of three decision-making methods: a breast cancer patient as a model

PURPOSE

To compare three decision making techniques using a common clinical problem.

METHODS

Two recently developed methods, the analytic hierarchy process (AHP) and the analytic network process (ANP), were compared with a Markov process in the evaluation of the optimal post-lumpectomy treatment strategy for an elderly woman with a mammographically detected, nonpalpable early-stage breast cancer. The following treatment alternatives were considered: observation, radiation, tamoxifen, combination radiation and tamoxifen, and simple mastectomy. All three decision methods incorporated patient preferences.

RESULTS

The models agreed on the ranking of the preferred treatment, radiation and tamoxifen, but there were variations in the rankings of the other treatment choices. Individual differences between the three models were uncovered. The Markov process provided estimates of quality-adjusted life expectancy and distribution of health events. Both AHP and ANP required less development time than the Markov process.

CONCLUSION

All three methods may be useful tools to the clinician in analyzing complex medical problems. The Markov is the most labor-intensive method but provides detailed results, whereas the AHP and the ANP give only rank orders of the alternatives. The most important considerations in choosing between these methods are time to project completion and the detail of information sought.