Literature DB >> 11549434

Canada's Population Health Model (POHEM): a tool for performing economic evaluations of cancer control interventions.

B P Will1, J M Berthelot, K M Nobrega, W Flanagan, W K Evans.   

Abstract

This paper describes the Population Health Model (POHEM) developed by Statistics Canada and shows its usefulness in the evaluation of cancer control interventions and policy decision-making. Models of the costs of diagnosis and treatment of lung and breast cancer were developed and incorporated into POHEM. Then, POHEM was used to evaluate the economic impact of chemotherapy for advanced non-small cell lung cancer; reduced length of hospital stay following breast cancer surgery; and the provision of preventive tamoxifen to women at high risk of breast cancer. A lung cancer chemotherapy treatment decision framework was developed to rank order currently available chemotherapy regimens according to relative cost-effectiveness and cost-utility. Reducing post-surgical breast cancer hospitalisation with optimal home care support could produce major healthcare savings. However, the provision of preventive tamoxifen was estimated to have no population health benefit. This paper demonstrates that POHEM is an effective tool for performing economic evaluations of cancer control interventions and to inform healthcare policy decisions.

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Year:  2001        PMID: 11549434     DOI: 10.1016/s0959-8049(01)00204-0

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  15 in total

1.  ARMADA--a computer model of the impact of environmental factors on health.

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2.  Assessing and forecasting population health: integrating knowledge and beliefs in a comprehensive framework.

Authors:  Jeroen Van Meijgaard; Jonathan E Fielding; Gerald F Kominski
Journal:  Public Health Rep       Date:  2009 Nov-Dec       Impact factor: 2.792

3.  Using the Cancer Risk Management Model to evaluate colorectal cancer screening options for Canada.

Authors:  A J Coldman; N Phillips; J Brisson; W Flanagan; M Wolfson; C Nadeau; N Fitzgerald; A B Miller
Journal:  Curr Oncol       Date:  2015-04       Impact factor: 3.677

Review 4.  Dynamic microsimulation models for health outcomes: a review.

Authors:  Carolyn M Rutter; Alan M Zaslavsky; Eric J Feuer
Journal:  Med Decis Making       Date:  2010-05-18       Impact factor: 2.583

5.  Factors Affecting the Postsurgical Length of Hospital Stay in Patients with Breast Cancer.

Authors:  Metehan Gümüş; Ömer Satıcı; Burak Veli Ülger; Abdullah Oğuz; Fatih Taşkesen; Sadullah Girgin
Journal:  J Breast Health       Date:  2015-07-01

6.  The economic burden of cancers attributable to tobacco smoking, excess weight, alcohol use, and physical inactivity in Canada.

Authors:  H Krueger; E N Andres; J M Koot; B D Reilly
Journal:  Curr Oncol       Date:  2016-08-12       Impact factor: 3.677

7.  Overview of methods to estimate the medical costs of cancer.

Authors:  William E Barlow
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

8.  Bayesian Calibration of Microsimulation Models.

Authors:  Carolyn M Rutter; Diana L Miglioretti; James E Savarino
Journal:  J Am Stat Assoc       Date:  2009-12-01       Impact factor: 5.033

9.  Effects of Reductions in Body Mass Index on the Future Osteoarthritis Burden in Canada: A Population-Based Microsimulation Study.

Authors:  Jacek A Kopec; Eric C Sayre; Philippe Fines; William M Flanagan; Claude Nadeau; Anya Okhmatovskaia; Michael C Wolfson
Journal:  Arthritis Care Res (Hoboken)       Date:  2016-08       Impact factor: 4.794

10.  Estimating benefits of past, current, and future reductions in smoking rates using a comprehensive model with competing causes of death.

Authors:  Jeroen van Meijgaard; Jonathan E Fielding
Journal:  Prev Chronic Dis       Date:  2012-07-05       Impact factor: 2.830

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