caa a22 4500 467935378 CHVBK 20180406152955.0 cr unu---uuuuu 170328e20061101xx s 000 0 eng 10.1007/s10729-006-9996-x doi (NATIONALLICENCE)springer-10.1007/s10729-006-9996-x A review of health care models for coronary heart disease interventions [Elektronische Daten] [K. Cooper, S. Brailsford, R. Davies, J. Raftery] This article reviews models for the treatment of coronary heart disease (CHD). Whereas most of the models described were developed to assess the cost effectiveness of different treatment strategies, other models have also been used to extrapolate clinical trials, for capacity and resource planning, or to predict the future population with heart disease. In this paper we investigate the use of modelling techniques in relation to different types of health intervention, and we discuss the assumptions and limitations of these approaches. Many of the models reviewed in this paper use decision tree models for acute or short term interventions, and Markov or state transition models for chronic or long term interventions. Discrete event simulation has, however, been used for more complex whole system models, and for modelling resource-constrained interventions and operational planning. Nearly all of the studies in our review used cohort-based models rather than population based models, and therefore few models could estimate the likely total costs and benefits for a population group. Most studies used de novo purpose built models consisting of only a small number of health states. Models of the whole disease system were less common. The model descriptions were often incomplete. We recommend that the reporting of model structure, assumptions and input parameters is more explicit, to reduce the risk of biased reporting and ensure greater confidence in the model results. Springer Science + Business Media, LLC, 2006 Health care nationallicence Model nationallicence Decision tree nationallicence Markov nationallicence Discrete event simulation nationallicence Economic evaluation nationallicence Coronary heart disease nationallicence Cooper K. Wessex Institute for Health Research and Development, University of Southampton, Highfield, SO16 7PX, Southampton, Hants, UK aut Brailsford S. School of Management, University of Southampton, Highfield, SO17 1BJ, Southampton, Hants, UK aut Davies R. Warwick Business School, Warwick University, CV4 7AL, Coventry, UK aut Raftery J. Wessex Institute for Health Research and Development, University of Southampton, Highfield, SO16 7PX, Southampton, Hants, UK aut Health Care Management Science Kluwer Academic Publishers 9/4(2006-11-01), 311-324 1386-9620 9:4<311 2006 9 10729 https://doi.org/10.1007/s10729-006-9996-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10729-006-9996-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cooper K. Wessex Institute for Health Research and Development, University of Southampton, Highfield, SO16 7PX, Southampton, Hants, UK aut NATIONALLICENCE 700 1- Brailsford S. School of Management, University of Southampton, Highfield, SO17 1BJ, Southampton, Hants, UK aut NATIONALLICENCE 700 1- Davies R. Warwick Business School, Warwick University, CV4 7AL, Coventry, UK aut NATIONALLICENCE 700 1- Raftery J. Wessex Institute for Health Research and Development, University of Southampton, Highfield, SO16 7PX, Southampton, Hants, UK aut NATIONALLICENCE 773 0- Health Care Management Science Kluwer Academic Publishers 9/4(2006-11-01), 311-324 1386-9620 9:4<311 2006 9 10729 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer