Development and implementation of microsimulation models of neurological conditions
As part of a program of the first National Population Health Study of Neurological Conditions launched in 2009, a series of microsimulation models of neurological conditions (called POHEM-Neurological meta-model) was developed to project health and economic impacts of seven neurological conditions (...
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description | As part of a program of the first National Population Health Study of Neurological Conditions launched in 2009, a series of microsimulation models of neurological conditions (called POHEM-Neurological meta-model) was developed to project health and economic impacts of seven neurological conditions (NCs)-Alzheimer's disease and other dementias, cerebral palsy, epilepsy, multiple sclerosis, Parkinson's disease, traumatic brain injury, and traumatic spinal cord injury-over a 20-year horizon.
The common framework of the seven models allows for dynamic, continuous-time, discrete-event simulation of synthetic large populations in which persons are subject to the risk of developing the NC under study and are assigned a value of functional health and a probability of receiving a caregiver and of entering long-term care. Calculations for transitions are done every year over the life course, and costs are accumulated throughout the life of the synthetic person. The need to reconcile empirical estimates of incidence and mortality with prevalence required implementation of "cure" parameters for two of the NCs.
The POHEM-Neurological meta-model integrates the latest Canadian microdata on neurological conditions and satisfies most criteria for validation of microsimulation models, including conceptualization, computer implementation, assessment of output plausibility, and comparison with external data. Limitations include an absence of risk factors and the lack of uncertainty measures.
The POHEM-Neurological meta-model has been useful for projections of health and economic impacts of NCs on persons affected and their caregivers, and allows for comparison of specific scenarios to the base case. |
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The common framework of the seven models allows for dynamic, continuous-time, discrete-event simulation of synthetic large populations in which persons are subject to the risk of developing the NC under study and are assigned a value of functional health and a probability of receiving a caregiver and of entering long-term care. Calculations for transitions are done every year over the life course, and costs are accumulated throughout the life of the synthetic person. The need to reconcile empirical estimates of incidence and mortality with prevalence required implementation of "cure" parameters for two of the NCs.
The POHEM-Neurological meta-model integrates the latest Canadian microdata on neurological conditions and satisfies most criteria for validation of microsimulation models, including conceptualization, computer implementation, assessment of output plausibility, and comparison with external data. Limitations include an absence of risk factors and the lack of uncertainty measures.
The POHEM-Neurological meta-model has been useful for projections of health and economic impacts of NCs on persons affected and their caregivers, and allows for comparison of specific scenarios to the base case.</description><identifier>ISSN: 0840-6529</identifier><identifier>EISSN: 1209-1367</identifier><identifier>PMID: 26983006</identifier><language>eng</language><publisher>Canada: Statistics Canada</publisher><subject>Alzheimer's disease ; Canada ; Care and treatment ; Caregivers ; Computer Simulation ; Development and progression ; Economic growth ; Economic impact ; Economic models ; Economics ; Health care expenditures ; Health risks ; Humans ; Long-Term Care ; Models, Theoretical ; Mortality risk ; Nervous system diseases ; Nervous System Diseases - epidemiology ; Neurological disorders ; Planning ; Prevalence ; Public health ; Public health administration ; Quality of care ; Risk Factors</subject><ispartof>Health reports, 2016-03, Vol.27 (3), p.3-9</ispartof><rights>COPYRIGHT 2016 Statistics Canada</rights><rights>Copyright Statistics Canada Mar 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26983006$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Finès, Philippe</creatorcontrib><creatorcontrib>Garner, Rochelle</creatorcontrib><creatorcontrib>Bancej, Christina</creatorcontrib><creatorcontrib>Bernier, Julie</creatorcontrib><creatorcontrib>Manuel, Douglas G</creatorcontrib><title>Development and implementation of microsimulation models of neurological conditions</title><title>Health reports</title><addtitle>Health Rep</addtitle><description>As part of a program of the first National Population Health Study of Neurological Conditions launched in 2009, a series of microsimulation models of neurological conditions (called POHEM-Neurological meta-model) was developed to project health and economic impacts of seven neurological conditions (NCs)-Alzheimer's disease and other dementias, cerebral palsy, epilepsy, multiple sclerosis, Parkinson's disease, traumatic brain injury, and traumatic spinal cord injury-over a 20-year horizon.
The common framework of the seven models allows for dynamic, continuous-time, discrete-event simulation of synthetic large populations in which persons are subject to the risk of developing the NC under study and are assigned a value of functional health and a probability of receiving a caregiver and of entering long-term care. Calculations for transitions are done every year over the life course, and costs are accumulated throughout the life of the synthetic person. The need to reconcile empirical estimates of incidence and mortality with prevalence required implementation of "cure" parameters for two of the NCs.
The POHEM-Neurological meta-model integrates the latest Canadian microdata on neurological conditions and satisfies most criteria for validation of microsimulation models, including conceptualization, computer implementation, assessment of output plausibility, and comparison with external data. Limitations include an absence of risk factors and the lack of uncertainty measures.
The POHEM-Neurological meta-model has been useful for projections of health and economic impacts of NCs on persons affected and their caregivers, and allows for comparison of specific scenarios to the base case.</description><subject>Alzheimer's disease</subject><subject>Canada</subject><subject>Care and treatment</subject><subject>Caregivers</subject><subject>Computer Simulation</subject><subject>Development and progression</subject><subject>Economic growth</subject><subject>Economic impact</subject><subject>Economic models</subject><subject>Economics</subject><subject>Health care expenditures</subject><subject>Health risks</subject><subject>Humans</subject><subject>Long-Term Care</subject><subject>Models, Theoretical</subject><subject>Mortality risk</subject><subject>Nervous system diseases</subject><subject>Nervous System Diseases - epidemiology</subject><subject>Neurological disorders</subject><subject>Planning</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Public health administration</subject><subject>Quality of care</subject><subject>Risk Factors</subject><issn>0840-6529</issn><issn>1209-1367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpt0U9PwyAUAPDGaNycfgXTaGL0UAMUaHs082-y6EE9N0hfNxYKXWmNfnupm3E1wgF4_HiBx04wxgRlEY55shuMUUpRxBnJRsGBc0vkW5aS_WBEeJbGCPFx8HwN76BtXYFpQ2GKUFW1hn4lWmVNaMuwUrKxTlWdXocqW4B2_Y6BrrHazpUUOpTWFKoH7jDYK4V2cLQZJ8Hr7c3L9D6aPd09TK9m0TzO0jaiKE5BgiTg71UAKRlJOEeYUMJ5IaXAGBelLCmRWUkxAZZh4idCIP8kKuNJcL7OWzd21YFr80o5CVoLA7ZzOU4SykiaMebp6R-6tF1j_O28ShPMCI7xr5oLDbkypW0bIfuk-RVlDKecJr06-UfJWq3ybXT5D_K9AF9Pa6BUPj7IejE44E0LH-1cdM7lD8-PQ3u2ZRcgdLtwVnff1R_C482zu7cKirxuVCWaz_zn_-Mv8kyoiQ</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Finès, Philippe</creator><creator>Garner, Rochelle</creator><creator>Bancej, Christina</creator><creator>Bernier, Julie</creator><creator>Manuel, Douglas G</creator><general>Statistics Canada</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>ISN</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M3G</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20160301</creationdate><title>Development and implementation of microsimulation models of neurological conditions</title><author>Finès, Philippe ; Garner, Rochelle ; Bancej, Christina ; Bernier, Julie ; Manuel, Douglas G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g398t-4038ecec2e000de2f527660124266dcca111dfcf42c9f412e5912f41aa05294c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Alzheimer's disease</topic><topic>Canada</topic><topic>Care and treatment</topic><topic>Caregivers</topic><topic>Computer Simulation</topic><topic>Development and progression</topic><topic>Economic growth</topic><topic>Economic impact</topic><topic>Economic models</topic><topic>Economics</topic><topic>Health care expenditures</topic><topic>Health risks</topic><topic>Humans</topic><topic>Long-Term Care</topic><topic>Models, Theoretical</topic><topic>Mortality risk</topic><topic>Nervous system diseases</topic><topic>Nervous System Diseases - epidemiology</topic><topic>Neurological disorders</topic><topic>Planning</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Public health administration</topic><topic>Quality of care</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Finès, Philippe</creatorcontrib><creatorcontrib>Garner, Rochelle</creatorcontrib><creatorcontrib>Bancej, Christina</creatorcontrib><creatorcontrib>Bernier, Julie</creatorcontrib><creatorcontrib>Manuel, Douglas G</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Gale In Context: Canada</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Canadian Business & Current Affairs Database</collection><collection>Canadian Business & Current Affairs Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>CBCA Reference & Current Events</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Health reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Finès, Philippe</au><au>Garner, Rochelle</au><au>Bancej, Christina</au><au>Bernier, Julie</au><au>Manuel, Douglas G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and implementation of microsimulation models of neurological conditions</atitle><jtitle>Health reports</jtitle><addtitle>Health Rep</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>27</volume><issue>3</issue><spage>3</spage><epage>9</epage><pages>3-9</pages><issn>0840-6529</issn><eissn>1209-1367</eissn><abstract>As part of a program of the first National Population Health Study of Neurological Conditions launched in 2009, a series of microsimulation models of neurological conditions (called POHEM-Neurological meta-model) was developed to project health and economic impacts of seven neurological conditions (NCs)-Alzheimer's disease and other dementias, cerebral palsy, epilepsy, multiple sclerosis, Parkinson's disease, traumatic brain injury, and traumatic spinal cord injury-over a 20-year horizon.
The common framework of the seven models allows for dynamic, continuous-time, discrete-event simulation of synthetic large populations in which persons are subject to the risk of developing the NC under study and are assigned a value of functional health and a probability of receiving a caregiver and of entering long-term care. Calculations for transitions are done every year over the life course, and costs are accumulated throughout the life of the synthetic person. The need to reconcile empirical estimates of incidence and mortality with prevalence required implementation of "cure" parameters for two of the NCs.
The POHEM-Neurological meta-model integrates the latest Canadian microdata on neurological conditions and satisfies most criteria for validation of microsimulation models, including conceptualization, computer implementation, assessment of output plausibility, and comparison with external data. Limitations include an absence of risk factors and the lack of uncertainty measures.
The POHEM-Neurological meta-model has been useful for projections of health and economic impacts of NCs on persons affected and their caregivers, and allows for comparison of specific scenarios to the base case.</abstract><cop>Canada</cop><pub>Statistics Canada</pub><pmid>26983006</pmid><tpages>7</tpages></addata></record> |
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subjects | Alzheimer's disease Canada Care and treatment Caregivers Computer Simulation Development and progression Economic growth Economic impact Economic models Economics Health care expenditures Health risks Humans Long-Term Care Models, Theoretical Mortality risk Nervous system diseases Nervous System Diseases - epidemiology Neurological disorders Planning Prevalence Public health Public health administration Quality of care Risk Factors |
title | Development and implementation of microsimulation models of neurological conditions |
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