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FAST: A Framework to Assess Speed of Translation of Health Innovations to Practice and Policy.
Proctor, Enola; Ramsey, Alex T; Saldana, Lisa; Maddox, Thomas M; Chambers, David A; Brownson, Ross C.
Afiliação
  • Proctor E; Brown School, Washington University in St. Louis, St. Louis, MO 63130 USA.
  • Ramsey AT; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA.
  • Saldana L; Oregon Social Learning Center, Eugene, OR 97401 USA.
  • Maddox TM; Healthcare Innovation Lab, BJC HealthCare/Washington University School of Medicine, St. Louis, MO 63110 USA.
  • Chambers DA; Division of Cardiology, Washington University School of Medicine, St. Louis, MO 63110 USA.
  • Brownson RC; Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, MD 20892 USA.
Glob Implement Res Appl ; 2(2): 107-119, 2022.
Article em En | MEDLINE | ID: mdl-35669171
ABSTRACT
The 17-year time span between discovery and application of evidence in practice has become a unifying challenge for implementation science and translational science more broadly. Further, global pandemics and social crises demand timely implementation of rapidly accruing evidence to reduce morbidity and mortality. Yet speed remains an understudied metric in implementation science. Prevailing evaluations of implementation lack a temporal aspect, and current approaches have not yielded rapid implementation. In this paper, we address speed as an important conceptual and methodological gap in implementation science. We aim to untangle the complexities of studying implementation speed, offer a framework to assess speed of translation (FAST), and provide guidance to measure speed in evaluating implementation. To facilitate specification and reporting on metrics of speed, we encourage consideration of stakeholder perspectives (e.g., comparison of varying priorities), referents (e.g., speed in attaining outcomes, transitioning between implementation phases), and observation windows (e.g., time from intervention development to first patient treated) in its measurement. The FAST framework identifies factors that may influence speed of implementation and potential effects of implementation speed. We propose a research agenda to advance understanding of the pace of implementation, including identifying accelerators and inhibitors to speed.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article