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Interview
20 October 2017

The joint ISPOR–ISPE Special Task Force on real-world evidence in health care decision making: an interview with Marc Berger

Abstract

Marc L Berger, MD, is a retired, part-time consultant. He recently became Chair of the Real World Evidence Advisory Board for SHYFT Analytics. Over a 25-year industry career, Marc has held senior-level positions at Pfizer, Inc., OptumInsight, Eli Lilly and Company, and Merck & Co., Inc. His professional activities have included serving on committees for Center for Medicare and Medicaid Services (CMS), Agency for Healthcare Research and Quality (AHRQ), Patient-Centered Outcomes Research Institute (PCORI), the International Society for Pharmacoeconomics and Outcomes Research (ISPOR), Drug Information Association (DIA), and the editorial advisory boards of several journals. Marc has written or co-written more than 100 peer-reviewed articles, book chapters, and other publications on a range of topics including health services research, outcomes research, health economics, health policy, and the analysis of real-world data.

Could you give us some background on the joint ISPOR–ISPE Special Task Force on real-world evidence in health care decision making, and your own role?

Over the last few years, I had been attending a series of meetings in Washington, DC on enhancing the use of real-world evidence. At one of these meetings, I proposed that the trustworthiness of real-world evidence could be improved if decision makers expected observational studies to follow the same procedures as required for randomized controlled trials – that is, to be registered on a public website prior to their execution and have an explicit protocol and data analysis plan. In addition, it should be expected that the results of all studies should be made public. Last fall, I proposed to the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) that we create a special task force on good procedural practices for real-world data studies. This initiative was endorsed by the ISPOR leadership and I co-chaired the task force with Daniel Mullins. During the same period, we learned that the International Society for Pharmacoepidemiology (ISPE) had created a taskforce on the reproducibility of real-world data studies. ISPOR and ISPE decided to join forces [1], since the goals of these initiatives were complementary, and I participated in the ISPE task force.

Why is there a particular need for these guidelines now?

Following the HITECH Act (2009) [2] in the USA, the use of electronic medical records became widespread. This increased interest in the emergence of a learning health care system that could utilize the wealth of digitized clinical data to inform health care policy decisions by payers, providers, HTA organizations and others. However, uptake has been variable due to concerns regarding the methodologic limitations in addressing bias and confounding in observational studies as well as the concern that published positive results might not represent the experience of therapeutics in the real world. The potential for real-world evidence to also support regulatory decision making was also recognized by the 21st Century Cures Act (2016) [3]. Given the burgeoning growth of real-world data, it appeared timely to provide guidance that would increase the credibility and trustworthiness of published real-world evidence.

The guidelines consist of two reports and an accompanying commentary; you were lead author on the report focusing on good practice for real-world data studies. What are the main highlights of the report's recommendations?

This report focused on observational studies that were designed to evaluate the presence or absence of a pre-specified treatment effect and/or its magnitude [4]. It recommended pre-registration of study protocols and analysis plans on a public registration site, being transparent in publication if the protocol or analysis plan changed, providing opportunities for study replication, and including key stakeholders in the design, conduct and dissemination of the research. If the source of the hypothesis was an analysis performed on a particular data set, it also recommended that the hypotheses evaluation be performed on a different data set (unless not feasible).

The second report discusses reproducibility in real-world studies; briefly, what were the conclusions of this report?

This report focuses [5] on enhancing existing reporting guidelines (including RECORD [6], STROBE [7] and EnCePP [8]) by identifying a minimum set of items necessary to report in detail in order to achieve fully reproducible evidence from large health care database cohort studies. It encourages data and code sharing when data use agreements and IP permit; however, clear, natural language description of key operational and design details should be provided in publications so that the scientific thought processes of investigators can be fully understood.

How do you hope these new guidelines will influence the use of real-world evidence going forward?

The adoption and implementation of these recommendations will require efforts on the part of key decision-maker stakeholders including providers, payers, HTA authorities, regulatory authorities, and journal editors. Even if these recommendations are implemented, they will not guarantee that real-world evidence will be credible and trustworthy, although they are an excellent first step. The hope is that this will foster a culture of transparency and collaboration among the community of producers and users of real-world evidence. Only with successful experience in leveraging real-world evidence to inform health policy decisions will confidence in it grow [9].

What are the next steps for the dissemination of these recommendations?

We have already begun to present these reports at public meetings and we are holding a meeting with stakeholders to begin a conversation about how to foster their adoption, the ISPOR/ISPE “Summit on Real-World Evidence in Health Care Decision Making”. This is taking place on October 20, and more information can be found on the event website [10].

Do you have any final comments for the readers of the Journal of Comparative Effectiveness Research?

I have been working with real-world data for the last 25 years. The data is getting richer and better in quality. We must find a way to fully leverage this wealth of information to support continuous quality improvement of health care systems, to achieve the promise of personalized medicine, and to make the development of new therapeutics more efficient.

Disclosure

The opinions expressed in this interview are those of the interviewee and do not necessarily reflect the views of Future Medicine Ltd.

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

References

1.
Joint ISPE–ISPOR Special Task Force on RWE in Healthcare Decision-Making. www.ispor.org/RWEInHealthcareDecisions/JointISPEISPORSpecialTF.
2.
Health Information Technology for Economic and Clinical Health Act. www.cbo.gov/publication/20452.
4.
Berger ML, Sox H, Willke RJ et al. Good practices for real-world data studies of treatment and/or comparative effectiveness: recommendations from the Joint ISPOR–ISPE Special Task Force on Real-World Evidence in Health Care Decision Making. Value Health 20(8), 1003–1008 (2017).
5.
Wang SV, Schneeweiss S, Berger ML et al. Reporting to improve reproducibility and facilitate validity assessment for healthcare database studies. Value Health 20(8), 1009–1022 (2017).
9.
Greenfield S. Making real-world evidence more useful for decision making. Value Health 20(8), 1023–1024 (2017).
10.
Summit on Real World Evidence in Health Care Decision Making Registration. www.ispor.org/EventReg/DisplayEvent.aspx?EventId=67.