Your browser doesn't support javascript.
loading
Leveraging Research Synthesis Methods to Support Evidence-Based Policy- and Decision-Making.
Malin, Jenessa L; Fortunato, Christine.
Afiliação
  • Malin JL; Administration for Children and Families, U.S. Department of Health and Human Services, Washington, DC, USA. Jenessa.Malin@acf.hhs.gov.
  • Fortunato C; Administration for Children and Families, U.S. Department of Health and Human Services, Washington, DC, USA.
Prev Sci ; 23(3): 472-475, 2022 04.
Article em En | MEDLINE | ID: mdl-35050449
ABSTRACT
This commentary discusses the potential utility of research syntheses for evidence-based policy- and decision-making, examining the papers that comprise the special issue on modern meta-analytic methods. Evidence and data have the potential to play a critical role in the development of policies and in the administration of programs that meet the social and economic needs of children and families. Novel, innovative, and methodologically rigorous methods that allow for comprehensive and systematic research synthesis, such as those disseminated in this special issue, can help inform the work of the federal government and the prevention science field at large. Overall, the papers hold promise for strengthening the rigor of existing approaches, illustrate novel approaches, and demonstrate the utility of information that research syntheses can produce. Collectively, the studies in this special issue advance the available toolbox of methods that can be used to support evidence-based policy- and decision-making.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Formulação de Políticas / Política de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Prev Sci Assunto da revista: CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Formulação de Políticas / Política de Saúde Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Prev Sci Assunto da revista: CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos