Researchers develop innovative methodology for evaluating benefits of new medicines

An innovative new methodology for evaluating the benefits of new medicines has been developed by a team of researchers led by health economics and policy experts from the Department of Health Policy at the London School of Economics and Political Science (LSE).

Escalating drug prices have resulted in numerous ways of evaluating treatments, many of which are partly based on intuition and guesswork - giving cause for concern that they could potentially result in misleading policy recommendations. At the same time, scarce resources, the rising demand for health services, aging populations and technological advances threaten the financial sustainability of many health care systems and render efficient and fair resource allocation an essential but difficult task.

Decision-making in health care is inherently complex as numerous objectives need to be balanced.  One set of tools used widely to improve efficiency in resource allocation is Health Technology Assessment (HTA). The use of economic evaluation techniques in the context of HTA, such as cost utility analysis (CUA) has become the preferred analytical method adopted by many. However, all value-related concerns of decision-makers are not adequately reflected in such a model. For example, whereas the cost per quality adjusted life year (QALY) has become the metric of choice for many when assessing and appraising value, by definition this only considers length of life in tandem with health-related quality of life, and does not capture social value adequately, including innovation and the technology's wider socioeconomic impact.

Due to the complexity of these problems involving multiple considerations, decision-makers often adopt intuitive and heuristic approaches for simplification purposes, but as a consequence important information may be under-utilized or altogether excluded leading to choices based on ad-hoc priority setting processes.

The Advance Value Framework, developed by Aris Angelis and Panos Kanavos of the Department of Health Policy and LSE Health has just been published in Social Science & Medicine, a leading international health policy journal, and addresses the pitfalls of current approaches to HTA. The study, funded by the European Commission's program for research, proposes a value model containing different dimensions spanning five key domains: (a) burden of disease, (b) therapeutic impact, (c) safety profile (d) innovation level, and (e) socioeconomic impact.

Based on Multiple Criteria Decision Analysis (MCDA), the Advance Value Framework offers a holistic approach to value assessment of medicines and medical technologies and a decision support tool to decision-makers. The methodology builds on and improves similar value framework initiatives developed over the last few years by other professional health care organizations and research institutions.  

Mr. Angelis commented: "The Advance Value Framework aims to address conceptual and methodological limitations in the assessment of new medicines by adopting a multi-criteria evaluation approach in alignment with decision theory. It has been developed in consultation with key stakeholders, including representatives from HTA bodies, following several years of theoretical and empirical research and aims to provide a comprehensive and transparent evaluation tool.  

Dr. Kanavos commented: "We propose a dependable, robust and sustainable alternative to current approaches to HTA, recognizing that 'value' in health care is multi-dimensional and that broader stakeholder perspectives increasingly help shape coverage decisions of new health care technologies. The Advance Value Framework reflects both the complexity of decision-making in health care and the preferences of key stakeholders in a dynamic manner".​

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New insights into accelerated aging in young sickle cell patients