학술논문
Embedding implementation science in the research pipeline
Commentary/Position Paper
Commentary/Position Paper
Document Type
Academic Journal
Author
Source
Translational Behavioral Medicine. February 2024, Vol. 14 Issue 2, p73, 7 p.
Subject
Language
English
ISSN
1869-6716
Abstract
Introduction Clinical research explores effective ways to prevent, diagnose, or treat diseases with the ultimate goal of improving people's health. The current approach to clinical research funding and study design [...]
Clinical and health services researchers seek to discover effective programs, practices, and interventions to improve people's health. The current paradigm for evidence generation is incremental and misaligned to translate evidence-based discoveries into real-world settings. This persistent challenge are 'valleys of death' that represent missed opportunities and preventable missteps to actually use scientific advancements in realworld clinical settings where they can improve health and well-being (De Geest S, Zuniga F, Brunkert T et al. Powering Swiss health care for the future: implementation science to bridge 'the valley of death'. 2020;150:w20323). Only one in seven of evidence-based interventions is ever implemented. It is after an average of 17 years. We propose embedding the principles of implementation science throughout the research pipeline, from discovery to adoption, to efficiently translate discoveries into real-world contexts (Balas EA, Boren SA. Managing clinical knowledge for health care improvement. 2000;9:65-70). We outline implications for capacity building, including composition of the research team, study design, and competencies that could bolster the value proposition of implementation science. We describe a research paradigm that recognizes scientists' responsibility to ensure their discoveries be translated into real-world settings. Lay summary Most innovative research is not used in clinical care settings. When it is, it takes a very long time to get into the real world. This means that patients may not get the best care possible to improve their health. The research community has tools that can help design innovative research in ways that it could work in clinical care settings and tools to help that happen faster, so that clinical care teams and patients can use innovative research. This is called implementation science. We outline why it is important to use implementation science ideas and teams earlier and how we can support infrastructure to do so. Keywords: implementation science; translational research; health services research; research design; implementation outcomes; health services methods
Clinical and health services researchers seek to discover effective programs, practices, and interventions to improve people's health. The current paradigm for evidence generation is incremental and misaligned to translate evidence-based discoveries into real-world settings. This persistent challenge are 'valleys of death' that represent missed opportunities and preventable missteps to actually use scientific advancements in realworld clinical settings where they can improve health and well-being (De Geest S, Zuniga F, Brunkert T et al. Powering Swiss health care for the future: implementation science to bridge 'the valley of death'. 2020;150:w20323). Only one in seven of evidence-based interventions is ever implemented. It is after an average of 17 years. We propose embedding the principles of implementation science throughout the research pipeline, from discovery to adoption, to efficiently translate discoveries into real-world contexts (Balas EA, Boren SA. Managing clinical knowledge for health care improvement. 2000;9:65-70). We outline implications for capacity building, including composition of the research team, study design, and competencies that could bolster the value proposition of implementation science. We describe a research paradigm that recognizes scientists' responsibility to ensure their discoveries be translated into real-world settings. Lay summary Most innovative research is not used in clinical care settings. When it is, it takes a very long time to get into the real world. This means that patients may not get the best care possible to improve their health. The research community has tools that can help design innovative research in ways that it could work in clinical care settings and tools to help that happen faster, so that clinical care teams and patients can use innovative research. This is called implementation science. We outline why it is important to use implementation science ideas and teams earlier and how we can support infrastructure to do so. Keywords: implementation science; translational research; health services research; research design; implementation outcomes; health services methods