Health economic evaluation of treatments for Alzheimer′s disease: impact of new diagnostic criteria

Author:

Wimo A.12,Ballard C.3,Brayne C.4,Gauthier S.5,Handels R.6,Jones R. W.7,Jonsson L.12,Khachaturian A. S.8,Kramberger M.9

Affiliation:

1. Department of Neurobiology, Care Sciences and Society Alzheimer′s Disease Research Center Karolinska Institutet Stockholm Sweden

2. Centre for Research & Development Uppsala University/County of Gävleborg Gävle Sweden

3. Wolfson Centre for Age‐related Diseases King′s College London London UK

4. Cambridge Institute of Public Health Cambridge University Cambridge UK

5. The McGill Center for Studies in Aging Douglas Mental Health Research Institute Montreal QC Canada

6. Department of Psychiatry & Neuropsychology Maastricht University Maastricht The Netherlands

7. The Research Institute for the Care of Older People (RICE) Bath UK

8. Campaign to Prevent Alzheimer's Disease by 2020 Ljubljana Slovenia

9. Department of Neurology University Medical Centre Ljubljana Ljubljana Slovenia

Abstract

AbstractThe socio‐economic impact of Alzheimer′s disease (AD) and other dementias is enormous, and the potential economic challenges ahead are clear given the projected future numbers of individuals with these conditions. Because of the high prevalence and cost of dementia, it is very important to assess any intervention from a cost‐effectiveness viewpoint. The diagnostic criteria for preclinical AD suggested by the National Institute on Aging and Alzheimer's Association workgroups in combination with the goal of effective disease‐modifying treatment (DMT) are, however, a challenge for clinical practice and for the design of clinical trials. Key issues for future cost‐effectiveness studies include the following: (i) the consequences for patients if diagnosis is shifted from AD‐dementia to predementia states, (ii) bridging the gap between clinical trial populations and patients treated in clinical practice, (iii) translation of clinical trial end‐points into measures that are meaningful to patients and policymakers/payers and (iv) how to measure long‐term effects. To improve cost‐effectiveness studies, long‐term population‐based data on disease progression, costs and outcomes in clinical practice are needed not only in dementia but also in predementia states. Reliable surrogate end‐points in clinical trials that are sensitive to detect effects even in predementia states are also essential as well as robust and validated modelling methods from predementia states that also take into account comorbidities and age. Finally, the ethical consequences of early diagnosis should be considered.

Publisher

Wiley

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