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Open Access

Changes in lifestyle risk factors: health and economic impact as estimated by the population based RHS model

  • Inna Feldman1,
  • Dmitry Grigorovich2 and
  • Pia Johansson3
BMC Health Services Research201414(Suppl 2):P41

https://doi.org/10.1186/1472-6963-14-S2-P41

Published: 7 July 2014

Background

The ability to estimate societal cost-savings given a change in population lifestyles is of interest to health promotion specialists and decision makers. A population-based model named Risk factors, Health and Societal Costs (RHS) was developed to simulate changes in incidence and related societal costs of several chronic diseases after five to ten years, following assumed changes in four common risk factors for disease: obesity (BMI>30), daily tobacco smoking, lack of physical activity and risky consumption of alcohol.

Materials and methods

The RHS model is based on relative risks (RR) and potential impact fractions (IF) that simulate the changes in disease incidence of reducing the exposure to risk factors [1]. Relative risks as well as disease-specific QALY and DALY weights were collected from international publications. Swedish national registers were used to retrieve incident cases and disease-specific medical care costs, while local authority costs for care and sickness insurance expenses were estimated via a Swedish study [2]. The health gains are calculated as decreased number of incident cases of disease, increased health-related quality of life (QALYs) and decreases in disability (DALYs).

Results

The scenarios, which assume a certain reduction in population risk factor prevalence, show that considerable health gains and savings in societal costs can arise from modest changes in population lifestyle habits. As an example, a 1% reduction in prevalence in daily smoking under five years among Stockholm county population is estimated to lead to health gain of 64 QALYs and societal savings (health care, municipality care and sickness insurance) of 13 million Swedish krona (1.2 million GBP).

Conclusion

The RHS model estimates future cases of illness and related societal costs due to lifestyle risk factors in the population. By creating scenarios with assumed changes in risk factors, the model can estimate potential health gains and societal costs savings, which can be used as relevant arguments in discussions with decision-makers for a more health-promoting health care system.

Authors’ Affiliations

(1)
Dept. of Women’s and Children’s Health, Uppsala University
(2)
Financial University
(3)
Stockholm County Council

References

  1. Morgenstern H, Bursic ES: A method for using epidemiologic data to estimate the potential impact of an intervention on the health status of a target population. J Community Health. 1982, 7: 292-309. 10.1007/BF01318961.View ArticlePubMedGoogle Scholar
  2. Lindholm C, et al: Costs explained by function rather than diagnosis - results from the SNAC Nordanstig elderly cohort in Sweden. Int J Geriatr Psychiatry. 2013, 28: 454-462. 10.1002/gps.3844.View ArticlePubMedGoogle Scholar

Copyright

© Feldman et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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