THE ROLE OF COMPUTER SIMULATION MODELS IN THE DESIGN OF PUBLIC POLICIES.
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| Title: | THE ROLE OF COMPUTER SIMULATION MODELS IN THE DESIGN OF PUBLIC POLICIES. |
|---|---|
| Alternate Title: | EL rol de los modelos de simulación por computadora en el diseño de políticas públicas. |
| Authors: | SALGADO, M. VICTORIA1 victoria.salgado@cedes.org, O'FLAHERTY, MARTIN2, MEJIA, RAÚL1,3 |
| Source: | Revista Medicina. Nov/Dec2020, Vol. 80 Issue 6, p681-684. 4p. |
| Subjects: | COMPUTER simulation, GOVERNMENT policy |
| Abstract (English): | Cardiovascular diseases are the number one cause of death globally, but their optimal prevention remains a challenge. A high-risk approach can only have a limited effect at a population level, while population-based strategies can improve and extend the coverage of a high-risk approach. However, one main problem for promoting cardiovascular diseases prevention public policies is the difficulty to foresee population health benefits of a single policy. Computer simulation models can assist with this problem, due to their ability to estimate intervention effects over different periods, and by scaling up the evidence to a broader, more diverse population. Their applicability to countries with different social, political and economic contexts can assist in the design of public policies. There are several models that assess health and economics scenarios, but regardless which model is chosen, when adequately used, they can provide reasonable estimations of health policies' impact. There is a growing consensus amongst the public health communities about the powerful role of population-level policies. They are more effective, cost saving and more equitable when compared with individual-level interventions. Policy makers and the public health community need to make further progress in changing the focus of prevention, from individuals to populations. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Las enfermedades cardiovasculares son la principal causa de muerte en el mundo, pero su prevención óptima sigue siendo un desafío. El enfoque prioritario a escala individual en pacientes de alto riesgo solo puede tener un efecto limitado a nivel colectivo, mientras que las estrategias de alcance poblacional pueden mejorar y ampliar la cobertura de estos enfoques de alto riesgo. Sin embargo, uno de los principales problemas para promover políticas públicas de prevención de enfermedades cardiovasculares es la dificultad para prever los beneficios que una política única puede tener en salud. Los modelos de simulación por computadora pueden ayudar con este problema, dada su capacidad para estimar los efectos de una intervención en diferentes períodos, ampliando la evidencia a una población más extensa y diversa. Adicionalmente, su aplicabilidad a países con diferentes contextos sociales, políticos y económicos puede asistir en el diseño de políticas públicas. Existen varios modelos que evalúan escenarios tanto de salud como de economía, pero independientemente de qué modelo se elija, usados adecuadamente pueden proporcionar estimaciones razonables del impacto de las políticas de salud. Existe un consenso creciente en el ámbito de la salud pública sobre el importante rol de las políticas poblacionales. Son más efectivas, económicas, y equitativas en comparación con las intervenciones a nivel individual. En la formulación de políticas públicas en general, y de salud pública en particular, se debe avanzar en cambiar el enfoque de la prevención desde las personas a las comunidades. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista Medicina is the property of Revista Medicina and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: lth DbLabel: MedicLatina An: 157061222 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: THE ROLE OF COMPUTER SIMULATION MODELS IN THE DESIGN OF PUBLIC POLICIES. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: EL rol de los modelos de simulación por computadora en el diseño de políticas públicas. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22SALGADO%2C+M%2E+VICTORIA%22">SALGADO, M. VICTORIA</searchLink><relatesTo>1</relatesTo><i> victoria.salgado@cedes.org</i><br /><searchLink fieldCode="AR" term="%22O'FLAHERTY%2C+MARTIN%22">O'FLAHERTY, MARTIN</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22MEJIA%2C+RAÚL%22">MEJIA, RAÚL</searchLink><relatesTo>1,3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+Medicina%22">Revista Medicina</searchLink>. Nov/Dec2020, Vol. 80 Issue 6, p681-684. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22COMPUTER+simulation%22">COMPUTER simulation</searchLink><br /><searchLink fieldCode="DE" term="%22GOVERNMENT+policy%22">GOVERNMENT policy</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Cardiovascular diseases are the number one cause of death globally, but their optimal prevention remains a challenge. A high-risk approach can only have a limited effect at a population level, while population-based strategies can improve and extend the coverage of a high-risk approach. However, one main problem for promoting cardiovascular diseases prevention public policies is the difficulty to foresee population health benefits of a single policy. Computer simulation models can assist with this problem, due to their ability to estimate intervention effects over different periods, and by scaling up the evidence to a broader, more diverse population. Their applicability to countries with different social, political and economic contexts can assist in the design of public policies. There are several models that assess health and economics scenarios, but regardless which model is chosen, when adequately used, they can provide reasonable estimations of health policies' impact. There is a growing consensus amongst the public health communities about the powerful role of population-level policies. They are more effective, cost saving and more equitable when compared with individual-level interventions. Policy makers and the public health community need to make further progress in changing the focus of prevention, from individuals to populations. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: Las enfermedades cardiovasculares son la principal causa de muerte en el mundo, pero su prevención óptima sigue siendo un desafío. El enfoque prioritario a escala individual en pacientes de alto riesgo solo puede tener un efecto limitado a nivel colectivo, mientras que las estrategias de alcance poblacional pueden mejorar y ampliar la cobertura de estos enfoques de alto riesgo. Sin embargo, uno de los principales problemas para promover políticas públicas de prevención de enfermedades cardiovasculares es la dificultad para prever los beneficios que una política única puede tener en salud. Los modelos de simulación por computadora pueden ayudar con este problema, dada su capacidad para estimar los efectos de una intervención en diferentes períodos, ampliando la evidencia a una población más extensa y diversa. Adicionalmente, su aplicabilidad a países con diferentes contextos sociales, políticos y económicos puede asistir en el diseño de políticas públicas. Existen varios modelos que evalúan escenarios tanto de salud como de economía, pero independientemente de qué modelo se elija, usados adecuadamente pueden proporcionar estimaciones razonables del impacto de las políticas de salud. Existe un consenso creciente en el ámbito de la salud pública sobre el importante rol de las políticas poblacionales. Son más efectivas, económicas, y equitativas en comparación con las intervenciones a nivel individual. En la formulación de políticas públicas en general, y de salud pública en particular, se debe avanzar en cambiar el enfoque de la prevención desde las personas a las comunidades. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista Medicina is the property of Revista Medicina and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=lth&AN=157061222 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 681 Subjects: – SubjectFull: COMPUTER simulation Type: general – SubjectFull: GOVERNMENT policy Type: general Titles: – TitleFull: THE ROLE OF COMPUTER SIMULATION MODELS IN THE DESIGN OF PUBLIC POLICIES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: SALGADO, M. VICTORIA – PersonEntity: Name: NameFull: O'FLAHERTY, MARTIN – PersonEntity: Name: NameFull: MEJIA, RAÚL IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov/Dec2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 13900218 Numbering: – Type: volume Value: 80 – Type: issue Value: 6 Titles: – TitleFull: Revista Medicina Type: main |
| ResultId | 1 |
