Literature DB >> 26409615

Unifying Research and Reimbursement Decisions: Case Studies Demonstrating the Sequence of Assessment and Judgments Required.

Claire McKenna1, Marta Soares2, Karl Claxton3, Laura Bojke2, Susan Griffin2, Stephen Palmer2, Eldon Spackman2.   

Abstract

BACKGROUND: The key principles regarding what assessments lead to different types of guidance about the use of health technologies (Only in Research, Approval with Research, Approve, or Reject) provide an explicit and transparent framework for technology appraisal.
OBJECTIVE: We aim to demonstrate how these principles and assessments can be applied in practice through the use of a seven-point checklist of assessment.
METHODS: The value of access to a technology and the value of additional evidence are explored through the application of the checklist to the case studies of enhanced external counterpulsation for chronic stable angina and clopidogrel for the management of patients with non-ST-segment elevation acute coronary syndromes.
RESULTS: The case studies demonstrate the importance of considering 1) the expected cost-effectiveness and population net health effects; 2) the need for evidence and whether the type of research required can be conducted once a technology is approved for widespread use; 3) whether there are sources of uncertainty that cannot be resolved by research but only over time; and 4) whether there are significant (opportunity) costs that once committed by approval cannot be recovered.
CONCLUSIONS: The checklist demonstrates that cost-effectiveness is a necessary but not sufficient condition for approval. Only in Research may be appropriate when a technology is expected to be cost-effective due to significant irrecoverable costs. It is only approval that can be ruled out if a technology is not expected to be cost-effective. Lack of cost-effectiveness is not a necessary or sufficient condition for rejection.
Copyright © 2015 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cost-effectiveness; coverage with evidence development; health technology assessment; only in research; reimbursement decisions; research decisions

Mesh:

Substances:

Year:  2015        PMID: 26409615     DOI: 10.1016/j.jval.2015.05.003

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


  4 in total

1.  The HTA Risk Analysis Chart: Visualising the Need for and Potential Value of Managed Entry Agreements in Health Technology Assessment.

Authors:  Sabine Elisabeth Grimm; Mark Strong; Alan Brennan; Allan J Wailoo
Journal:  Pharmacoeconomics       Date:  2017-12       Impact factor: 4.981

2.  Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016.

Authors:  Julia I Drake; Juan Carlos Trujillo de Hart; Clara Monleón; Walter Toro; Joice Valentim
Journal:  J Mark Access Health Policy       Date:  2017-10-12

3.  Simulating Study Data to Support Expected Value of Sample Information Calculations: A Tutorial.

Authors:  Anna Heath; Mark Strong; David Glynn; Natalia Kunst; Nicky J Welton; Jeremy D Goldhaber-Fiebert
Journal:  Med Decis Making       Date:  2021-08-13       Impact factor: 2.749

4.  An Efficient Method for Computing Expected Value of Sample Information for Survival Data from an Ongoing Trial.

Authors:  Mathyn Vervaart; Mark Strong; Karl P Claxton; Nicky J Welton; Torbjørn Wisløff; Eline Aas
Journal:  Med Decis Making       Date:  2021-12-30       Impact factor: 2.749

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.