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Introduction: Dementia is one of the greatest health challenges the world will face in the coming decades, as it is one of the principal causes of disability and dependency among older people. Economic modelling is used widely across many health conditions to inform decisions on health and social care policy and practice. The aim of this literature review is to systematically identify, review and critically evaluate existing health economics models in dementia. We included the full spectrum of dementia, including Alzheimer's disease (AD), from preclinical stages through to severe dementia and end of life. This review forms part of the Real world Outcomes across the Alzheimer's Disease spectrum for better care: multimodal data Access Platform (ROADMAP) project., Methods and Analysis: Electronic searches were conducted in Medical Literature Analysis and Retrieval System Online, Excerpta Medica dataBASE, Economic Literature Database, NHS Economic Evaluation Database, Cochrane Central Register of Controlled Trials, Cost-Effectiveness Analysis Registry, Research Papers in Economics, Database of Abstracts of Reviews of Effectiveness, Science Citation Index, Turning Research Into Practice and Open Grey for studies published between January 2000 and the end of June 2017. Two reviewers will independently assess each study against predefined eligibility criteria. A third reviewer will resolve any disagreement. Data will be extracted using a predefined data extraction form following best practice. Study quality will be assessed using the Phillips checklist for decision analytic modelling. A narrative synthesis will be used., Ethics and Dissemination: The results will be made available in a scientific peer-reviewed journal paper, will be presented at relevant conferences and will also be made available through the ROADMAP project., Prospero Registration Number: CRD42017073874., Competing Interests: Competing interests: AT-H is an employee of Eli Lilly and Company Limited and owns stock in Eli Lilly and Company Limited. AYCS is an employee of F. Hoffmann-La Roche Ltd. RH reports grants from ROADMAP (IMI2; public-private collaboration; 2016–2019) to conduct this study, grants from BIOMARKAPD (EU JPND project; 2012–2016), grants from Actifcare (EU JPND project; 2014–2017), grants from European Brain Council (VoT project; public–private collaboration; 2017), grants from Dutch Flutemetamol Study (public–private collaboration; 2012–2017), personal fees from Piramal (advisory; 2016), personal fees from Roche (advisory; 2017), outside the submitted work. PL is employed by, owns stock in and has stock options in Novartis Pharma AG. Novartis Pharma AG, GE Healthcare, Biogen, Eli Lilly and Company Limited and Roche are industry partners in the ROADMAP Project., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Purpose: The Quality of Life Alzheimer's Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available.Methods: Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error.Results: The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset.Conclusions: The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected. [ABSTRACT FROM AUTHOR]