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Health promotion or health care – a profitable interaction?
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health. (Socialpediatrisk forskning/Sarkadi)
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Women's and Children's Health. (Socialpediatrisk forskning/Sarkadi)
2013 (English)Conference paper, Abstract (Refereed)
Abstract [en]

Background: The possibility to estimate health care savings given a change in population lifestyles may be of interest to health promotion specialists and decision-makers. A macro model entitled Risk factors, Health and Societal Costs (RHS) was developed to estimate changes in incidence and health care costs of ten common diseases during five years. The estimations were based on four common risk factors for disease: obesity (BMI>30), daily tobacco smoking, lack of exercise and risk alcohol consumption.

Material and methods: The RHS model is based on relative risks that define the relation between disease incidence and risk factors. Relative risks were collected from Swedish and international publications and are age- and gender-specific. Swedish national registers were used to retrieve incident cases. Changes in risk factor prevalence lead to changes in new cases of disease. Disease-specific health care costs were retrieved from Stockholm Council. The following parameters were imputed in the model: population data, current risk factor prevalence and potential changes.

Results: The RHS model is able to predict future cases of illness and related costs. By creating scenarios with different changes in risk factors, the model can thus estimate the potential gains/losses in health in monetary units. The different scenarios, where it is assumed a 1% reduction in risk factor prevalence, show that significant savings in health care costs can arise from modest changes in population lifestyle habits. Lower levels of risk factors generate greater impact in regards to disease prevalence.      

Discussion: The model can be used to simulate the effects of different scenarios in regards to how risk factors can change in different population areas. To build scenarios requires two types of data available: age- and gender- stratified population data and the prevalence of risk factors. The results of the model can be used as relevant arguments in discussions with decision-makers for a more health promoting health care system.   

Place, publisher, year, edition, pages
2013. 50-50 p.
National Category
Health Sciences
URN: urn:nbn:se:uu:diva-214697OAI: oai:DiVA.org:uu-214697DiVA: diva2:685362
The 21st International Conference of Health Promoting Hospitals & Health Services
Available from: 2014-01-09 Created: 2014-01-09 Last updated: 2014-01-16

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