Literature DB >> 32940229

Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing-Why, What, and How: Recommendations and a Road Map from the Real-World Evidence Transparency Initiative.

Lucinda S Orsini1, Marc Berger2, William Crown3, Gregory Daniel4, Hans-Georg Eichler5, Wim Goettsch6, Jennifer Graff7, John Guerino2, Pall Jonsson8, Nirosha Mahendraratnam Lederer4, Brigitta Monz9, C Daniel Mullins10, Sebastian Schneeweiss11, David Van Brunt12, Shirley V Wang11, Richard J Willke2.   

Abstract

Real-world data (RWD) and the derivations of these data into real-world evidence (RWE) are rapidly expanding from informing healthcare decisions at the patient and health system level to influencing major health policy decisions, including regulatory approvals and coverage. Recent examples include the approval of palbociclib in combination with endocrine therapy for male breast cancer and the inclusion of RWE in the label of paliperidone palmitate for schizophrenia. This interest has created an urgency to develop processes that promote trust in the evidence-generation process. Key stakeholders and decision-makers include patients and their healthcare providers; learning health systems; health technology assessment bodies and payers; pharmacoepidemiologists and other clinical reseachers, and policy makers interested in bioethical and regulatory issues. A key to optimal uptake of RWE is transparency of the research process to enable decision-makers to evaluate the quality of the methods used and the applicability of the evidence that results from the RWE studies. Registration of RWE studies-particularly for hypothesis evaluating treatment effectiveness (HETE) studies-has been proposed to improve transparency, trust, and research replicability. Although registration would not guarantee better RWE studies would be conducted, it would encourage the prospective disclosure of study plans, timing, and rationale for modifications. A joint task force of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the International Society for Pharmacoepidemiology (ISPE) recommended that investigators preregister their RWE studies and post their study protocols in a publicly available forum before starting studies to reduce publication bias and improve the transparency of research methods. Recognizing that published recommendations alone are insufficient, especially without accessible registration options and with no incentives, a group of experts gathered on February 25 and 26, 2019, in National Harbor, Maryland, to explore the structural and practical challenges to the successful implementation of the recommendations of the ISPOR/ISPE task force for preregistration. This positioning article describes a plan for making registration of HETE RWE studies routine. The plan includes specifying the rationale for registering HETE RWE studies, the studies that should be registered, where and when these studies should be registered, how and when analytic deviations from protocols should be reported, how and when to publish results, and incentives to encourage registration. Table 1 summarizes the rationale, goals, and potential solutions that increase transparency, in addition to unique concerns about secondary data studies. Definitions of terms used throughout this report are provided in Table 2.
Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research and John Wiley & Sons Limited. [Published by Elsevier and by John Wiley & Sons Limited in Pharmacoepidemiology and Drug Safety]. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  real world evidence; regulatory decision-making; study registration; transparency

Mesh:

Year:  2020        PMID: 32940229     DOI: 10.1016/j.jval.2020.04.002

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  14 in total

1.  ASO Author Reflections: Surgery Offers Survival Advantage in Treatment-Responsive Metastatic Breast Cancer.

Authors:  Kelly Stahl; Daleela Dodge; Chan Shen
Journal:  Ann Surg Oncol       Date:  2020-10-28       Impact factor: 5.344

2.  Evaluating fitness-for-use of electronic health records in pragmatic clinical trials: reported practices and recommendations.

Authors:  Sudha R Raman; Emily C O'Brien; Bradley G Hammill; Adam J Nelson; Laura J Fish; Lesley H Curtis; Keith Marsolo
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

3.  Assessing and Interpreting Real-World Evidence Studies: Introductory Points for New Reviewers.

Authors:  Shirley V Wang; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2021-09-01       Impact factor: 6.875

4.  Baseline Characteristics and Secondary Medication Adherence Patterns Among Patients Receiving Tafamidis Prescriptions: A Retrospective Analysis Using a National Specialty Pharmacy Dispensing Database.

Authors:  Anuja Roy; Andrew Peterson; Nick Marchant; Jose Alvir; Rahul Bhambri; Jason Lynn; Darrin Benjumea; Sapna Prasad; Alex O'Brien; Yong Chen; Jason Kemner; Bhash Parasuraman
Journal:  Patient Prefer Adherence       Date:  2022-04-29       Impact factor: 2.314

Review 5.  The value of anticancer drugs - a regulatory view.

Authors:  Francesco Pignatti; Ulla Wilking; Douwe Postmus; Nils Wilking; Julio Delgado; Jonas Bergh
Journal:  Nat Rev Clin Oncol       Date:  2021-12-06       Impact factor: 66.675

Review 6.  The Structured Process to Identify Fit-For-Purpose Data: A Data Feasibility Assessment Framework.

Authors:  Nicolle M Gatto; Ulka B Campbell; Emily Rubinstein; Ashley Jaksa; Pattra Mattox; Jingping Mo; Robert F Reynolds
Journal:  Clin Pharmacol Ther       Date:  2021-12-01       Impact factor: 6.903

7.  Personalized Reimbursement Model (PRM) program: A real-world data platform of cancer drugs use to improve and personalize drug pricing and reimbursement in France.

Authors:  Pierre-Alexandre Squara; Vinh-Phuc Luu; David Pérol; Bruno Coudert; Valérie Machuron; Camille Bachot; Laurence Samelson; Virginie Florentin; Jean-Marc Pinguet; Béchir Ben Hadj Yahia
Journal:  PLoS One       Date:  2022-04-19       Impact factor: 3.752

8.  Biomedical Data Sharing Among Researchers: A Study from Jordan.

Authors:  Lina Al-Ebbini; Omar F Khabour; Karem H Alzoubi; Almuthanna K Alkaraki
Journal:  J Multidiscip Healthc       Date:  2020-11-23

9.  Real World Data in Health Technology Assessment of Complex Health Technologies.

Authors:  Milou A Hogervorst; Johan Pontén; Rick A Vreman; Aukje K Mantel-Teeuwisse; Wim G Goettsch
Journal:  Front Pharmacol       Date:  2022-02-10       Impact factor: 5.810

10.  Conducting Real-world Evidence Studies on the Clinical Outcomes of Diabetes Treatments.

Authors:  Sebastian Schneeweiss; Elisabetta Patorno
Journal:  Endocr Rev       Date:  2021-09-28       Impact factor: 19.871

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.