Assessing the value of cancer treatments from real world data—Issues, empirical examples and lessons learnt

Innovative thinking of clinical investigation for rare disease drug development

For the development of a test treatment or drug product, it is necessary to conduct composite hypothesis testing to test for effectiveness and safety simultaneously, since some approved drug products have been recalled due to safety concerns. One of the major issues in conducting a composite hypothesis testing for effectiveness and safety is the requirement of a huge sample size to achieve the desired power for detecting clinically meaningful differences in both safety and effectiveness. Situation can be much difficult in orphan drug development. In this article, a generalized two-stage innovative approach to test for effectiveness and safety simultaneously is proposed. Additionally, to alleviate the requirement of a large randomized clinical trial (RCT) and revealing effectiveness, real-world data is suggested to use in conjunction with RCT data for orphan drug development. The proposed approach can help investigators test for effectiveness and safety at the same time without worrying about the sample size. It also helps reduce the probability of approving a drug product with safety concerns.

Assessment of Studies Evaluating Incremental Costs, Effectiveness, or Cost-Effectiveness of Systemic Therapies in Breast Cancer Based on Claims Data: A Systematic Review

OBJECTIVES

Large secondary databases, such as those containing insurance claims data, are increasingly being used to compare the effects and costs of treatments in routine clinical practice. Despite their appeal, however, caution must be exercised when using these data. In this study, we aimed to identify and assess the methodological quality of studies that used claims data to compare the effectiveness, costs, or cost-effectiveness of systemic therapies for breast cancer.

METHODS

We searched Embase, the Cochrane Library, Medline, Web of Science, and Google Scholar for English-language publications and assessed the methodological quality using the Good Research for Comparative Effectiveness principles. This study was registered with the International Prospective Register of Systematic Reviews (PROSPERO) under number CRD42018103992.

RESULTS

We identified 1251 articles, of which 106 met the inclusion criteria. Most studies were conducted in the United States (74%) and Taiwan (9%) and were based on claims data sets (35%) or claims data linked to cancer registries (58%). Furthermore, most included large samples (mean 17 130 patients) and elderly patients, and they covered various outcomes (eg, survival, adverse events, resource use, and costs). Key methodological shortcomings were the lack of information on relevant confounders, the risk of immortal time bias, and the lack of information on the validity of outcomes. Only a few studies performed sensitivity analyses.

CONCLUSIONS

Many comparative studies of cost, effectiveness, and cost-effectiveness have been published in recent decades based on claims data, and the number of publications has increased over time. Despite the availability of guidelines to improve quality, methodological issues persist and are often inappropriately addressed or reported.

What Is the Value of Innovative Pharmaceutical Therapies in Oncology and Hematology? A Willingness-to-Pay Study in Bulgaria

OBJECTIVES

To analyze the views of Bulgarian oncologists and hematologists regarding the value of innovative pharmaceutical treatments in their clinical area.

METHODS

Physicians were invited to review a life-prolonging scenario and to indicate what minimum improvement in median survival a new treatment would have to generate for them to recommend it over the standard of care. Respondents were also asked to state the highest cost at which they would recommend a new therapy that would improve patient's health-related quality of life (HRQoL) but would have no impact on survival. In addition, physicians were asked whether they would consider different responses under certain circumstances. Responses were used to calculate incremental cost-effectiveness ratios (ICERs) for each scenario.

RESULTS

In the life-prolonging scenario, participants required a median of 12-month improvement in the survival to reimburse a new therapy at an incremental cost of €50 000, implying a willingness-to-pay of €50 000 per QALY gained. In the HRQoL-enhancing scenario, respondents indicated a €100 000 median cost per QALY gained. We observed a significant variation in responses. Although the median ICER for better HRQoL was twice as high as the median ICER for longer survival, 5% trimmed mean values were almost equal. Physicians did not believe that a higher ICER should be used for the treatment of children or for rare diseases.

CONCLUSIONS

We found a high willingness-to-pay for innovative drugs in oncology and hematology. The wide range of responses observed, however, indirectly implies a lack of consensus on the use of explicit ICER thresholds in Bulgaria.

Realist evaluation of cancer rehabilitation services in South Wales (REEACaRS): a mixed methods study protocol

INTRODUCTION

Long-term and late effects of cancer treatments can cause functional limitations and reduce quality of life. Cancer rehabilitation services, which can comprise physical exercise, psychological support and educational interventions depending on the individual's needs, have been found to have a positive effect on health-related quality of life worldwide. However, accessibility or the lack of awareness on available help can act as barriers and influence the uptake of services, resulting in people having unmet rehabilitation needs. In Wales, UK, 41% of people, who have had health and social care needs resulting from cancer and its treatments, reported that they did not receive care when needed. The reason for this lack of support has not yet been fully investigated. The aim of this study is to investigate the conditions in which cancer rehabilitation services work and their underpinning mechanisms in South Wales, UK, specifically addressing barriers, facilitators and costs.

METHODS AND ANALYSIS

Realist evaluation, which explains for whom a service works in what circumstances and how through context-mechanism-outcome pattern conjunctions, will be used in three phases to investigate the conditions in which cancer rehabilitation services work and their underpinning mechanisms. Phase 1 will be secondary analysis of a cancer rehabilitation database from a local Health Board to give context to who are accessing rehabilitation. Phase 2 will be thematic analysis of face-to-face, semistructured rehabilitation participant (n=20) and healthcare professional (n=20) interviews to explore the mechanisms of how cancer rehabilitation works. Phase 3 will be two case studies and cost-consequences analysis of cancer rehabilitation services.

ETHICS AND DISSEMINATION

This study received favourable ethical opinion from London South-East Research Ethics Committee (17/LO/2123) in December 2017. This project is part of the author's PhD thesis and it is expected that the findings will be disseminated in academic journals and at local and international conferences.

Real-World Evidence Gathering in Oncology: The Need for a Biomedical Big Data Insight-Providing Federated Network

Moving toward new adaptive pathways for the development and access to innovative medicines implies that real-world data (RWD) collected throughout the medicinal product life cycle is becoming increasingly important. Big data analytics on RWD can obtain new and powerful insights into medicines' effectiveness. However, the healthcare ecosystem still faces many sector-specific challenges that hamper the use of big data analytics delivering real world evidence (RWE). We distinguish between exploratory (ExTE) and hypotheses-evaluating (HETE) studies testing treatment effectiveness in the real world. From our experience and in the context of the four V's of data management, we show that to get meaningful results data Variety and Veracity are needed regardless of the type of study conducted. More so, for ExTE studies high data Volume is needed while for HETE studies high Velocity becomes essential. Next, we highlight what are needed within the biomedical big data ecosystem, being: (a) international data reusability; (b) real-time RWD processing information systems; and (c) longitudinal RWD. Finally, in an effort to manage the four V's whilst respecting patient privacy laws we argue for the development of an underlying federated RWD infrastructure on a common data model, capable of bringing the centrally-conducted big data analysis to the de-centrally kept biomedical data.

Utilisation of real-world data from heart failure registries in OECD countries - A systematic review

BACKGROUND

Heart failure represents a major public health issue that impacts 26 million people globally. Currently, real-world data represents a key instrument for providing the verification of both internal and external validity, yet there is still a lack of understanding regarding its scope in complementing evidence of treatments for heart failure. This study aims to increase understanding of the utilisation of real-word data from heart failure registries in Organisation for Economic Co-operation and Development (OECD) countries.

METHOD

This was a systematic review of existing observational studies from heart failure registries in 35 OECD member countries. Studies from 2000 to March 2017 were identified through electronic databases (MEDLINE (Ovid), EMBASE, Web of Science Core Collection, CINAHL (Ebsco), Cochrane CENTRAL) and appraised according to eligibility criteria.

RESULTS

Two-hundred and two studies met the inclusion criteria, in which the majority were published from 2013 to 2016. All 202 studies were observational, among which 98% were cohort studies (198). The median sample size of all studies was 5152 (2417 to 32,890) and median study period 55 months (33.0 to 72.0). Swedish heart failure registry had the most publications (24, 12%).

CONCLUSION

Since 2000 there has been an upward trend in the number of published observational studies on heart failure registries in OECD countries with increasingly diverse outcomes and advanced statistical methods to improve their validity and reliability. This indicates that the utilisation of real-world data has experienced a significant upsurge in complementing the findings of clinical trials for improved research of heart failure treatments.

PHEDRA: using real-world data to analyze treatment patterns and ibrutinib effectiveness in hematological malignancies

Aim: PHEDRA (Platform for Haematology in EMEA: Data for Real World Analysis) is a unique, noninterventional project based on secondary data collection from real-world (RW) patient-level (health record) databases to understand treatment patterns in hematological malignancies. It compares ibrutinib's effectiveness with alternative treatments using RW data (RWD) and randomized clinical trials data. Materials & methods: RWD are cleaned, validated, harmonized into a Common Data Model, and analyzed statistically alongside randomized clinical trial data. Treatment outcomes include overall and progression-free survival. Results: To date, RWD (four databases) are available for 2840 patients in three indications, collected between 1990 and 2017. Conclusion: PHEDRA is an innovative approach to generate evidence to inform optimal treatment decisions in RW settings.