Conceptual model of comprehensive research metrics for improved human health and environment
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência & Saúde Coletiva (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232009000200020 |
Resumo: | Performance measurement predominantly consisted of near-term outputs measured through bibliometrics, but the recent focus is on accountability for investment based on long-term outcomes. Our objective is to build a logic model and associated metrics through which to measure the contribution of environmental health research programs to improvements in human health, the environment, and the economy. We developed a logic model that defines the components and linkages between extramural environmental health research grant programs and the outputs and outcomes related to health and social welfare, environmental quality and sustainability, economics, and quality of life, focusing on the environmental health research portfolio of the National Institute of Environmental Health Sciences (NIEHS) Division of Extramural Research and Training and delineates pathways for contributions by five types of institutional partners in the research process. The model is being applied to specific NIEHS research applications and the broader research community. We briefly discuss two examples and discuss the strengths and limits of outcome- based evaluation of research programs. |
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Conceptual model of comprehensive research metrics for improved human health and environmentConceptual model developmentEnvironmental health researchMetrics developmentPerformance measurementResearch impact evaluationPerformance measurement predominantly consisted of near-term outputs measured through bibliometrics, but the recent focus is on accountability for investment based on long-term outcomes. Our objective is to build a logic model and associated metrics through which to measure the contribution of environmental health research programs to improvements in human health, the environment, and the economy. We developed a logic model that defines the components and linkages between extramural environmental health research grant programs and the outputs and outcomes related to health and social welfare, environmental quality and sustainability, economics, and quality of life, focusing on the environmental health research portfolio of the National Institute of Environmental Health Sciences (NIEHS) Division of Extramural Research and Training and delineates pathways for contributions by five types of institutional partners in the research process. The model is being applied to specific NIEHS research applications and the broader research community. We briefly discuss two examples and discuss the strengths and limits of outcome- based evaluation of research programs.ABRASCO - Associação Brasileira de Saúde Coletiva2009-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232009000200020Ciência & Saúde Coletiva v.14 n.2 2009reponame:Ciência & Saúde Coletiva (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/S1413-81232009000200020info:eu-repo/semantics/openAccessEngel-Cox,JillVan Houten,BennettPhelps,JerryRose,Shyanikaeng2009-02-03T00:00:00Zoai:scielo:S1413-81232009000200020Revistahttp://www.cienciaesaudecoletiva.com.brhttps://old.scielo.br/oai/scielo-oai.php||cienciasaudecoletiva@fiocruz.br1678-45611413-8123opendoar:2009-02-03T00:00Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false |
dc.title.none.fl_str_mv |
Conceptual model of comprehensive research metrics for improved human health and environment |
title |
Conceptual model of comprehensive research metrics for improved human health and environment |
spellingShingle |
Conceptual model of comprehensive research metrics for improved human health and environment Engel-Cox,Jill Conceptual model development Environmental health research Metrics development Performance measurement Research impact evaluation |
title_short |
Conceptual model of comprehensive research metrics for improved human health and environment |
title_full |
Conceptual model of comprehensive research metrics for improved human health and environment |
title_fullStr |
Conceptual model of comprehensive research metrics for improved human health and environment |
title_full_unstemmed |
Conceptual model of comprehensive research metrics for improved human health and environment |
title_sort |
Conceptual model of comprehensive research metrics for improved human health and environment |
author |
Engel-Cox,Jill |
author_facet |
Engel-Cox,Jill Van Houten,Bennett Phelps,Jerry Rose,Shyanika |
author_role |
author |
author2 |
Van Houten,Bennett Phelps,Jerry Rose,Shyanika |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Engel-Cox,Jill Van Houten,Bennett Phelps,Jerry Rose,Shyanika |
dc.subject.por.fl_str_mv |
Conceptual model development Environmental health research Metrics development Performance measurement Research impact evaluation |
topic |
Conceptual model development Environmental health research Metrics development Performance measurement Research impact evaluation |
description |
Performance measurement predominantly consisted of near-term outputs measured through bibliometrics, but the recent focus is on accountability for investment based on long-term outcomes. Our objective is to build a logic model and associated metrics through which to measure the contribution of environmental health research programs to improvements in human health, the environment, and the economy. We developed a logic model that defines the components and linkages between extramural environmental health research grant programs and the outputs and outcomes related to health and social welfare, environmental quality and sustainability, economics, and quality of life, focusing on the environmental health research portfolio of the National Institute of Environmental Health Sciences (NIEHS) Division of Extramural Research and Training and delineates pathways for contributions by five types of institutional partners in the research process. The model is being applied to specific NIEHS research applications and the broader research community. We briefly discuss two examples and discuss the strengths and limits of outcome- based evaluation of research programs. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232009000200020 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232009000200020 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1413-81232009000200020 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
ABRASCO - Associação Brasileira de Saúde Coletiva |
publisher.none.fl_str_mv |
ABRASCO - Associação Brasileira de Saúde Coletiva |
dc.source.none.fl_str_mv |
Ciência & Saúde Coletiva v.14 n.2 2009 reponame:Ciência & Saúde Coletiva (Online) instname:Associação Brasileira de Saúde Coletiva (ABRASCO) instacron:ABRASCO |
instname_str |
Associação Brasileira de Saúde Coletiva (ABRASCO) |
instacron_str |
ABRASCO |
institution |
ABRASCO |
reponame_str |
Ciência & Saúde Coletiva (Online) |
collection |
Ciência & Saúde Coletiva (Online) |
repository.name.fl_str_mv |
Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO) |
repository.mail.fl_str_mv |
||cienciasaudecoletiva@fiocruz.br |
_version_ |
1754213027630022656 |