The answer is 17 years, what is the question: understanding time lags in translational research
By Z. Morris, S. Wooding, J. Grant. Journal of the Royal Society of Medicine, 2011
2,736 citations recorded by the source corpus.
This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.
Subfields: Biomedical Engineering, Economics and Econometrics, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/4be7607e3a8b61dfec064dc1aa89fd3ddcb255c9
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Citations in the corpus
- Implementation Mapping: Using Intervention Mapping to Develop Implementation Strategies (2019, background): “Implementation Mapping involves five specific tasks: (1) conduct a needs assessment and identify program adopters and implementers; (2) state adoption and implementation outcomes and performance objectives, identify determinants, and create matrices of change objectives; (3) choose theoretical metho”
- Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation (2024, background): “However, the traditional approach to developing and testing therapeutic interventions is slow, contributing to signi fi cant time lags in translational research 53 , and fails to deliver insights at the level of the individual.”
- Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review (2023, background): “Medical textbooks, often considered the gold standard in medical knowledge, are perpetually outdated, are limited in scope, and may contain inaccuracies [52-54].”
- Implementation science: What is it and why should i care? (2020, neutral): “Classic studies indicate that it takes 17–20 years to get clinical innovations into practice; moreover, fewer than 50% of clinical innovations ever make it into general usage (Mosteller, 1981; Balas and Boren, 2000; Grant et al., 2003; Morris et al., 2011) .”
- Community-Based Participatory Research (CBPR): Towards Equitable Involvement of Community in Psychology Research (2018, background): “On average, it takes biomedical interventions 17 years to move from research to practice (Morris, 2011).”
- An introduction to implementation science for the non-specialist (2015, background): “It has been widely reported that evidence-based practices (EBPs) take on average 17 years to be incorporated into routine general practice in health care [1–3].”