Real world evidence (RWE) - a disruptive innovation or the quiet evolution of medical evidence generation?

Real-world evidence generation from patients, their caregivers and physicians supporting clinical, regulatory and guideline decisions: an update on Disease Specific Programmes

OBJECTIVE

To update on and describe the role of Disease Specific Programmes (DSPs), a multi-perspective real-world data (RWD) source, in the context of the evolution of the value and acceptance of real-world evidence (RWE) in clinical, regulatory and guideline decision-making.

METHODS

DSPs are multi-national, multi-subscriber, multi-therapy cross-sectional surveys incorporating retrospective data collection from patient, caregiver and physician perspectives. Information collected covers the patient journey, including treatment/prescribing patterns and rationale, patient-reported outcomes, impact on work and everyday activities, attitudes towards and perceptions of the condition, adherence to treatment and burden of illness. Published peer-reviewed DSP papers were aligned with current key RWE themes identified in the literature, alongside their contribution to RWE.

RESULTS

RWE themes examined were: using RWE to inform clinical practice, patient and caregiver engagement, RWE role in supporting health technology assessments and regulatory submissions, informing value-driven healthcare decisions, real-world patient subgroup differences and therapeutic inertia/unmet needs; highlighting patients' and caregivers' experience of living with a disease, disconnect from their physicians, unmet needs and educational gaps.

CONCLUSIONS

DSPs provide a wealth of RWD in addition to evidence generated by registries, clinical trials and observational research, with wide use for the pharmaceutical industry, government, funding/regulatory bodies, clinical practice guideline insights and, most importantly, informing improvements in people's lives. The depth, breadth and heritage of information collected via DSPs since 1995 is unparalleled, extending understanding of how diseases are managed by physicians in routine clinical practice and why treatment choices are made, patients' perceptions of their disease management, and caregiver burden.

Persistence in allergen immunotherapy: A longitudinal, prescription data-based real-world analysis

INTRODUCTION

Allergic rhinitis (AR) is a widespread disease with increasing prevalence in developed countries. The only treatment that tackles the underlying causes is allergen immunotherapy (AIT). This treatment is performed through two application routes, the subcutaneous immunotherapy (SCIT) or the sublingual immunotherapy (SLIT). However, persistence during the long course of treatment over 3 years is key for the efficacy of this treatment option. The impaired adherence significantly impacts public health resources. The aim of this study was to assess the persistence of AIT for both application routes.

METHODS

IQVIATM LRx was used to identify patients starting AIT between 2009 and 2018 with grass pollen (GP), early flowering tree pollen (EFTP) and house dust mite (HDM) allergens. Patients were classified within each allergen category by AIT groups (subcutaneous depigmented polymerised allergen AIT [dSCIT], other subcutaneous AIT [oSCIT] and SLIT) and age (5-11 years, 12-17 years, 18+ years). Furthermore, they were followed up for up to 3 years until the cessation of treatment. Patients, who were still on treatment after 3 years were deemed to be censored. Kaplan-Meier curves of persistence were generated and compared by log-rank tests.

RESULTS

The number of patients included in the three allergen categories was 38,717 GP, 23,183 EFTP, and 41,728 HDM AIT. In all allergen categories and for any product group, patient persistence decreased with increasing age class with the difference between 5-11 years and 12-17 years greater than between the latter and 18+ years. The percentage of patients completing the first year of AIT was low, particularly for SLIT where 22.2%-27.1% of patients remained persistent after 12 months. The equivalent figures for dSCIT were 52.0%-64.1% and for oSCIT 38.3%-50.3%.

CONCLUSION

Persistence in AIT in AR was low in this retrospective prescription-based database and was clearly linked to patient age and application route.

Real-World Evidence of Traditional Chinese Medicine (TCM) Treatment on Cancer: A Literature-Based Review

While randomized controlled trials (RCTs) are the gold standard for evidence-based medicine, they do not always reflect the real condition of patients in the real-world setting, which limits their generalizability and external validity. Real-world evidence (RWE), generated during routine clinical practice, is increasingly important in determining external effectiveness of the tightly controlled conditions of RCTs and is well recognized as a valuable complement to RCTs by regulatory bodies currently. Since it could provide new ideas and methods for clinical efficacy and safety evaluation of traditional Chinese medicine (TCM) and high-quality evidence support, real-world study (RWS) has received great attention in the field of medicine, especially in the field of TCM. RWS has shown desirable adaptability in the clinical diagnosis and treatment practice of traditional Chinese medicine. Consequently, it is increasingly essential for physicians and researchers to understand how RWE can be used alongside clinical trial data on TCM. Here, we discuss what real-world study is and outline the benefits and limitations of real-world study. Furthermore, using examples from TCM treatment on cancer, including Chinese herbal medicine, acupuncture, moxibustion, integrated TCM and Western medicine treatment, and other treatments, we elaborate how RWE can be used to help inform treatment decisions when doctoring patients with cancer in the clinic.

Automated gathering of real-world data from online patient forums can complement pharmacovigilance for rare cancers

Current methods of pharmacovigilance result in severe under-reporting of adverse drug events (ADEs). Patient forums have the potential to complement current pharmacovigilance practices by providing real-time uncensored and unsolicited information. We are the first to explore the value of patient forums for rare cancers. To this end, we conduct a case study on a patient forum for Gastrointestinal Stromal Tumor patients. We have developed machine learning algorithms to automatically extract and aggregate side effects from messages on open online discussion forums. We show that patient forum data can provide suggestions for which ADEs impact quality of life the most: For many side effects the relative reporting rate differs decidedly from that of the registration trials, including for example cognitive impairment and alopecia as side effects of avapritinib. We also show that our methods can provide real-world data for long-term ADEs, such as osteoporosis and tremors for imatinib, and novel ADEs not found in registration trials, such as dry eyes and muscle cramping for imatinib. We thus posit that automated pharmacovigilance from patient forums can provide real-world data for ADEs and should be employed as input for medical hypotheses for rare cancers.

Disease burden and treatment sequence of polymyositis and dermatomyositis patients in Japan: a real-world evidence study

INTRODUCTION/OBJECTIVES

Since new consensus on polymyositis (PM) and dermatomyositis (DM) were released in Japan, an updated evidence on treatment landscape and PM/DM burden was essential. This study evaluates treatment burden and overall treatment cost of PM/DM-related inpatient and outpatient visits, treatments, and procedures/patient/year.

METHOD

This retrospective, observational study analyzed insurance claims from Japan Medical Data Center (JMDC) database. Patients with at least one PM/DM diagnosis/one dispensation of treatment between 1 January 2009 and 31 December 2019 were enrolled. Patient characteristics, treatment patterns and sequence, treatment choices, healthcare resource utilization (HCRU), and related costs were assessed. Chi-square test and linear regression model were used to assess impact of patient characteristics on treatment choice.

RESULTS

Patients (836/4,961) receiving a relevant treatment were analyzed. Heart disease (35%), interstitial lung disease (27%), and diabetes mellitus (26%) were frequently identified as comorbidities. Concomitant dispensation of immunosuppressants and systemic steroids was largely found in first and second line of treatment (LoT) while systemic steroids remained as single dominant treatment across all LoTs. HCRU was very low for inpatient visits (0.68 [1.43]) or rehabilitation (4.74 [14.57]). The mean (SD) number of inpatient visits decreased from first (1.23 [2.32]) to third year (0.11 [0.54]). Total mean (SD) healthcare cost per patients per year was ¥ 3,815,912 (7,412,241), with overall drug dispensation compounding to 80% of total cost.

CONCLUSIONS

High concomitant immunosuppressant and systemic steroid prescriptions in first LoT recommend early optimal treatment to manage PM/DM. Although inpatient costs are low, outpatient dispensation costs increase overall economic burden.

Federated Networks for Distributed Analysis of Health Data

Access to health data, important for population health planning, basic and clinical research and health industry utilization, remains problematic. Legislation intended to improve access to personal data across national borders has proven to be a double-edged sword, where complexity and implications from misinterpretations have paradoxically resulted in data becoming more siloed. As a result, the potential for development of health specific AI and clinical decision support tools built on real-world data have yet to be fully realized. In this perspective, we propose federated networks as a solution to enable access to diverse data sets and tackle known and emerging health problems. The perspective draws on experience from the World Economic Forum Breaking Barriers to Health Data project, the Personal Health Train and Vantage6 infrastructures, and industry insights. We first define the concept of federated networks in a healthcare context, present the value they can bring to multiple stakeholders, and discuss their establishment, operation and implementation. Challenges of federated networks in healthcare are highlighted, as well as the resulting need for and value of an independent orchestrator for their safe, sustainable and scalable implementation.

Real-World Evidence: Bridging Gaps in Evidence to Guide Payer Decisions

Randomized controlled trials (RCTs) are preferred by payers for health technology assessments and coverage decisions. However, the inclusion of a highly selective patient population and the rigorously controlled conditions in RCTs may not be reflective of real-world clinical practice. Real-world evidence (RWE) obtained from an analysis of real-world data (RWD) from observational studies can bridge gaps in evidence not addressed by RCTs and is thus valuable to public and private payers for decision-making. Through a broad literature search to obtain insights into payers' experience, we found that payers have concerns about real-world studies with respect to data quality, poor internal validity, potential bias, and lack of meaningful endpoints. However, they valued RWE to fill evidence gaps not addressed by RCTs, such as high-quality, real-world, long-term effectiveness and safety data; head-to-head drug comparisons; cost analyses for tiering formulary placement; medication use and adherence patterns; identification of relevant responder and non-responder patient subpopulations; and patient-reported outcomes (PROs). RWE can be used to assess clinically meaningful endpoints and gauge the impact of interventions on the quality of healthcare. Here, we review how payers use or can use RWD on the comparative effectiveness and safety of treatments, PROs, medication adherence and persistence, prescribing patterns, healthcare resource utilization, and patient characteristics and/or biomarkers associated with treatment response when making health technology assessments and payer coverage decisions across therapeutic areas.

Quo Vadis HTA for Medical Devices in Central and Eastern Europe? Recommendations to Address Methodological Challenges

Objectives: Methodological challenges in the evaluation of medical devices (MDs) may be different for early and late technology adopter countries, as well as the potential health technology assessment (HTA) solutions to tackle them. This study aims to provide guidance to Central and Eastern European (CEE) countries on how to address key challenges of HTA for MDs with special focus on the transferability of scientific evidence.

Methods: As part of the COMED Horizon 2020 project, a comprehensive list of issues related to MD HTA were identified based on a targeted literature review. Health technology assessment issues which pose a greater challenge or require different solutions in late technology adopter countries were selected. Draught recommendations to address these issues were developed and discussed in a focus group. The recommendations were then validated with a wider group of experts, including HTA and reimbursement decision makers from CEE countries in May and June 2020.

Results: A consolidated list of 11 recommendations were developed in 3 major areas: (1) clinical value assessment, focusing on the use of joint EU work, relying on real-world evidence, use of coverage with evidence development schemes, transferring evidence from foreign countries and addressing the challenges of learning curve and centre effect; (2) economic value assessment, covering cost calculation of complex medical devices and transferability of economic evaluations of MDs; (3) HTA processes, related to the frequent product modifications and various indications of MDs.

Conclusions: Central and Eastern European countries with limited resources for conducting HTA, can benefit from HTA methods and evidence generated in early technology adopter countries. Considering the appropriate reuse of international HTA materials, late technology adopter countries can still implement HTA, even for MDs, which have a more limited evidence base compared with pharmaceuticals.