Title |
Economics of chronic diseases protocol: cost-effectiveness modelling and the future burden of non-communicable disease in Europe
|
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Published in |
BMC Public Health, May 2014
|
DOI | 10.1186/1471-2458-14-456 |
Pubmed ID | |
Authors |
Diana Divajeva, Tim Marsh, Susanne Logstrup, Marleen Kestens, Pepijn Vemer, Vilma Kriaucioniene, Sophie Peresson, Sophie O’Kelly, Ana Rito, Laura Webber |
Abstract |
The majority of chronic disease is caused by risk factors which are mostly preventable. Effective interventions to reduce these risks are known and proven to be applicable to a variety of settings. Chronic disease is generally developed long before the fatal outcome, meaning that a lot of people spend a number of years in poor health. Effective prevention measures can prolong lives of individuals and significantly improve their quality of life. However, the methods to measure cost-effectiveness are a subject to much debate. The Economics of Chronic Diseases project aims to establish the best possible methods of measuring cost-effectiveness as well as develop micro-simulation models apt at projecting future burden of chronic diseases, their costs and potential savings after implementation of cost-effective interventions. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 50% |
Netherlands | 1 | 8% |
Canada | 1 | 8% |
Uruguay | 1 | 8% |
United States | 1 | 8% |
Unknown | 2 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 75% |
Scientists | 2 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Cameroon | 1 | <1% |
Netherlands | 1 | <1% |
South Africa | 1 | <1% |
Unknown | 163 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 18% |
Student > Master | 30 | 18% |
Researcher | 24 | 14% |
Other | 12 | 7% |
Student > Doctoral Student | 12 | 7% |
Other | 24 | 14% |
Unknown | 35 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 43 | 26% |
Nursing and Health Professions | 20 | 12% |
Economics, Econometrics and Finance | 16 | 10% |
Social Sciences | 12 | 7% |
Agricultural and Biological Sciences | 10 | 6% |
Other | 28 | 17% |
Unknown | 38 | 23% |