PAYERS AND IDNS- RWE IN THE REAL WORLD

Author(s)

Powers E1, Horowicz-Mehler N1, Morris J2, Denysyk L1
1QuintilesIMS, New York, NY, USA, 2QuintilesIMS, Durham, NC, USA

OBJECTIVES:  Availability of robust real world data (RWD) is quickly evolving; simultaneously, incentives driving use of RWD and RWE are changing clinical decision making. This study assesses what data IDNs are using to generate RWE and how they are using RWE. METHODS:  A quantitative survey of 70 US IDNs and payers about RWD sources and uses of RWE. We assessed the type of evidence generated, therapeutic areas of greatest interest, analytic approaches used to generate RWE, and willingness to partner with different healthcare stakeholders. RESULTS:  Despite having improved sources of RWD (95% have some integrated EMRs), only 18% of IDNs use these data in clinical decision making. Key challenges include the expense of generating and applying the evidence and lack of skills to generate the evidence. The IDNs surveyed indicated that they would like more guidance on how to generate RWE cost effectively. About a third of the surveyed IDNs indicated they would partner with pharma to achieve this. The TAs for which they use RWE most frequently are anti-infectives, cardiovascular / metabolic, critical care, inflammation, and oncology. In the future, IDNs indicated future use to include neurology, women’s health and nephrology. CONCLUSIONS: IDNs make little use of RWE in their decision making, but their needs for RWE to manage clinical decisions effectively grows. IDNs’ ability to generate and leverage RWE lags the increasing availability of RWD. They would like to use more RWE, but more cost-effectively than the current model. Because a meaningful number are open to collaborating with third parties including pharma, pharma has an opportunity to engage with IDNs to accelerate their evidence generation and make more efficient.

Conference/Value in Health Info

2017-05, ISPOR 2017, Boston, MA, USA

Value in Health, Vol. 20, No. 5 (May 2017)

Code

PHP228

Topic

Health Service Delivery & Process of Care

Topic Subcategory

Health Care Research

Disease

Multiple Diseases

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