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Coverage with evidence development: The Ontario experience

Published online by Cambridge University Press:  08 April 2011

Leslie Levin
Affiliation:
University of Toronto and Ministry of Health and Long-Term Care
Ron Goeree
Affiliation:
McMaster University and St. Joseph's Healthcare Hamilton
Mark Levine
Affiliation:
McMaster University and Ontario Clinical Oncology Group
Murray Krahn
Affiliation:
University of Toronto and Toronto Health and Technology Assessment Collaborative
Tony Easty
Affiliation:
University of Toronto and University Health Network
Adalstein Brown
Affiliation:
University of Toronto and St. Michael's Hospital
David Henry
Affiliation:
University of Toronto and Institute for Clinical Evaluative Sciences (ICES)

Abstract

Background: For non-drug technologies, there is often residual uncertainty following systematic review, mainly due to inadequate evidence of efficacy. The unwillingness to make decisions in the presence of uncertainty may lead to passive diffusion and intuitive decision making with or without public pressure. This may affect health system sustainability. There is increasing interest in post-market evaluation through processes that include coverage with evidence development (CED) to address residual uncertainty regarding effectiveness and cost-effectiveness. Global experience of CED has been slow to develop despite their potential contribution to decision making.

Methods: Ontario's field evaluation program to better inform decision making represents a collaboration between physicians, policy decision makers and academic centers. We report results of the first ten CEDs from this program to assess whether they achieved their objective of influencing policy by addressing residual uncertainty following systematic review.

Results: Since 2003, nineteen field evaluation studies to resolve residual uncertainty following systematic review have been completed, ten of which met the criteria of CED and are the focus of this report. There was more than one patient subgroup or intervention in three of the CEDs. This provided the basis for evaluating thirteen outcomes. In each case, the CED addressed the uncertainty and led to a decision based on the systematic review and CED result. The CEDs led to adoption of the technology in six instances, modified adoption in three instances and withdrawal in four instances.

Conclusions: CED makes an important contribution to translating evidence to decision making. Methodologies are needed to increase the scope and reduce timelines for CEDs, such as the use of linked comprehensive and robust data sets and collaborative studies with other jurisdictions. CED before making long-term funding decisions, especially where there is uncertainty of effectiveness, safety or cost-effectiveness, should be increasingly funded by health systems.

Type
POLICIES
Copyright
Copyright © Cambridge University Press 2011

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