scholarly journals Real-world evidence: perspectives on challenges, value, and alignment of regulatory and national health technology assessment data collection requirements

2021 ◽  
Vol 37 ◽  
Author(s):  
Hannah Sievers ◽  
Angelika Joos ◽  
Mickaël Hiligsmann
Keyword(s):  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Health Technology ◽  
Practical Experience ◽  
Added Value ◽  
Real World Data ◽  
Conflicting Demands ◽  
Real World Evidence ◽  
Semistructured Interviews

Abstract Objective This study aims to assess stakeholder perceptions on the challenges and value of real-world evidence (RWE) post approval, the differences in regulatory and health technology assessment (HTA) real-world data (RWD) collection requirements under the German regulation for more safety in drug supply (GSAV), and future alignment opportunities to create a complementary framework for postapproval RWE requirements. Methods Eleven semistructured interviews were conducted purposively with pharmaceutical industry experts, regulatory authorities, health technology assessment bodies (HTAbs), and academia. The interview questions focused on the role of RWE post approval, the added value and challenges of RWE, the most important requirements for RWD collection, experience with registries as a source of RWD, perceptions on the GSAV law, RWE requirements in other countries, and the differences between regulatory and HTA requirements and alignment opportunities. The interviews were recorded, transcribed, and translated for coding in Nvivo to summarize the findings. Results All experts agree that RWE could close evidence gaps by showing the actual value of medicines in patients under real-world conditions. However, experts acknowledged certain challenges such as: (i) heterogeneous perspectives and differences in outcome measures for RWE generation and (ii) missing practical experience with RWD collected through mandatory registries within the German benefit assessment due to an unclear implementation of the GSAV. Conclusions This study revealed that all stakeholder groups recognize the added value of RWE but experience conflicting demands for RWD collection. Harmonizing requirements can be achieved through common postlicensing evidence generation (PLEG) plans and joint scientific advice to address uncertainties regarding evidence needs and to optimize drug development.

R WE ready for reimbursement? A round up of developments in RWE relating to health technology assessment: part 2

2021 ◽  
Author(s):  
Alex Simpson ◽  
Sreeram V Ramagopalan
Keyword(s):  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Health Technology ◽  
Health Inequity ◽  
Real World Data ◽  
World Data

In this round up, we cover how COVID-19 has been beneficial for improved access to real-world data, as well as how real-world data can be used to address health inequity, an area of increasing interest for health technology assessment.

VP08 Real-World Data Use In Health Technology Assessments: A Comparison Of Five Health Technology Assessment Agencies

2017 ◽  
Vol 33 (S1) ◽  
pp. 149-150
Author(s):  
Amr Makady ◽  
Ard van Veelen ◽  
Anthonius de Boer ◽  
Hans Hillege ◽  
Olaf Klunger ◽  
...  
Keyword(s):  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Relative Effectiveness ◽  
Internal Validity ◽  
Health Technology ◽  
Real World Data ◽  
World Data ◽  
The Impact

INTRODUCTION:Reimbursement decisions are usually based on evidence from randomized controlled trials (RCT) with high internal validity but lower external validity. Real-World Data (RWD) may provide complimentary evidence for relative effectiveness assessments (REA's) and cost-effectiveness assessments (CEA's) of treatments. This study explores to which extent RWD is incorporated in REA's and CEA's of drugs used to treat metastatic melanoma (MM) by five Health Technology Assessment (HTA) agencies.METHODS:Dossiers for MM drugs published between 1 January 2011 and 31 December 2016 were retrieved for HTA agencies in five countries: the United Kingdom (NICE), Scotland (SMC), France (HAS), Germany (IQWiG) and the Netherlands (ZIN). A standardized data-extraction form was used to extract data on RWD mentioned in the assessment and its impact on appraisal (for example, positive, negative, neutral or unknown) for both REA and CEA.RESULTS:In total, fourty-nine dossiers were retrieved: NICE = 10, SMC = 13, IQWiG = 16, HAS = 8 and ZIN = 2. Nine dossiers (18.4 percent) included RWD in REA's for several parameters: to describe effectiveness (n = 5) and/or the safety (n = 2) of the drug, and/or the prevalence of MM (n = 4). CEA's were included in 25/49 dossiers (IQWiG and HAS did not perform CEA's). Of the twenty-five CEA's, twenty (80 percent) included RWD to extrapolate long-term effectiveness (n = 19), and/or identify costs associated with treatments (n = 7). When RWD was included in REA's (n = 9), its impact on the appraisal was negative (n = 4), neutral (n = 2), unknown (n = 1) or was not discussed in the appraisal (n = 2). When RWD was included in CEA's (n = 11), its impact on the appraisal varied between positive (n = 2), negative (n = 5) and unknown (n = 4).CONCLUSIONS:Generally, RWD is more often included in CEA's than REA's (80 percent versus 18.4 percent, respectively). When included, RWD was mostly used to describe the effectiveness of the drug (REA) or to predict long-term effectiveness (CEA). The impact of RWD on the appraisal varied greatly within both REA's and CEA's.

scholarly journals Application of Health Technology Assessment (HTA) to Evaluate New Laboratory Tests in a Health System: A Case Study of Bladder Cancer Testing

2020 ◽  
Vol 7 ◽  
pp. 237428952096822
Author(s):  
Erik J. Landaas ◽  
Ashley M. Eckel ◽  
Jonathan L. Wright ◽  
Geoffrey S. Baird ◽  
Ryan N. Hansen ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Health Technology ◽  
Test System ◽  
Real World Data ◽  
World Data

We describe the methods and decision from a health technology assessment of a new molecular test for bladder cancer (Cxbladder), which was proposed for adoption to our send-out test menu by urology providers. The Cxbladder health technology assessment report contained mixed evidence; predominant concerns were related to the test’s low specificity and high cost. The low specificity indicated a high false-positive rate, which our laboratory formulary committee concluded would result in unnecessary confirmatory testing and follow-up. Our committee voted unanimously to not adopt the test system-wide for use for the initial diagnosis of bladder cancer but supported a pilot study for bladder cancer recurrence surveillance. The pilot study used real-world data from patient management in the scenario in which a patient is evaluated for possible recurrent bladder cancer after a finding of atypical cytopathology in the urine. We evaluated the type and number of follow-up tests conducted including urine cytopathology, imaging studies, repeat cystoscopy evaluation, biopsy, and repeat Cxbladder and their test results. The pilot identified ordering challenges and suggested potential use cases in which the results of Cxbladder affected a change in management. Our health technology assessment provided an objective process to efficiently review test performance and guide new test adoption. Based on our pilot, there were real-world data indicating improved clinician decision-making among select patients who underwent Cxbladder testing.

OP170 Regulatory And Health Technology Assessment Considerations In Alzheimer's Disease

2018 ◽  
Vol 34 (S1) ◽  
pp. 61-62
Author(s):  
Jacoline Bouvy ◽  
Pall Jonsson
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Data Access ◽  
Health Technology ◽  
Advisory Group ◽  
Real World Evidence ◽  
Disease Modifying

Introduction:There has been a move towards the development of disease-modifying agents in Alzheimer's disease (AD) and it is likely that early disease-modifying treatments will initially be offered to people who have positive AD markers and mild cognitive impairment (MCI). Consequently, disease-modifying drugs will have distinctive features as compared to currently licensed symptomatic treatments, which makes the implications of these new agents for regulatory and health technology assessment (HTA) processes unclear.Methods:The ROADMAP (Real-world Outcomes across the AD spectrum for better care: Multi-modal data Access Platform) project provides the foundation for a European data platform for real-world evidence in AD, and established an expert advisory group (EXAG) consisting of regulatory and HTA experts. This presentation will summarize the key lessons from the first year of ROADMAP's EXAG and identifies the next steps that are required to prepare Europe's healthcare systems for a disease-modifying drug.Results:The EXAG identified a need for: (i) establishing the rationale for the selection of priority outcomes in pre-clinical AD and MCI; (ii) establishing accepted outcomes for defining prevention of AD or delayed AD onset; (iii) exploring modern technology that could assist in testing cognition that could easily be used in clinical practice; and (iv) establishing caregiver-relevant outcomes (e.g. quality of life, loss of income, carer time) that are important to capture; and found that not all evidence to support modelling assumptions can be generated through RCTs, making the case for using real-world evidence.Conclusions:Many of the challenges that the EXAG identified can be solved by generating better real-world data in AD. There is a clear need to agree on the outcomes that will facilitate and inform regulatory and HTA decision-making. Once the gaps in the availability of outcomes in AD will be closed, we will be one step closer towards being ready for a disease-modifying drug.

scholarly journals Policies for Use of Real-World Data in Health Technology Assessment: A Comparative Study of 6 HTA Agencies

2016 ◽  
Vol 19 (7) ◽  
pp. A501-A502 ◽  
Author(s):  
A Makady ◽  
R ten Ham ◽  
A de Boer ◽  
JL Hillege ◽  
O Klungel ◽  
...  
Keyword(s):  
Comparative Study ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Health Technology ◽  
Real World Data ◽  
World Data
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