Developed by an international community of patients, academic scientists, funding agencies, journal editors, and other key partners the recommendations are the first published recommendations to promote patient engagement for the clinical pain science community.
Acknowledging the challenges and nuances of crafting stand-out study proposals that address implementation, the Proctor, et al., recommend important elements for research scientists to include in their grant applications. The authors identify 10 key ingredients that make an application stronger and convey the significance and impact of the proposed study to reviewers.
What are ways that investigators can plan for study design changes as data accumulates? The authors present Learn-As-you-GO (LAGO) for an adaptive method to apply in stages during a study, and compare against other adaptive designs for trials such as Sequential Multiple Assignment Randomized Trial (SMART) design and Multiphase Optimization Strategy (MOST). Methods are illustrated through the Better Birth Study.
The authors examine how hybrid study designs can address the gaps in the translation of health care research to health care practice and health care promotion. The study proposed three approaches and assessed their potential for further consideration in speeding the transition and translation from research studies to health care practices and education.
Randomized Controlled Trials (RTC) have been the go-to for clinical studies; however, the long delays from research to dissemination to health care practice bring about considerations for implementations in study design. The authors conclude that expanding ‘traditional RCTs through collaborative stakeholder contributions and stakeholder/consumer-informed implementation approaches is critical to improve adoption post project.”
Nilsen proposes five categories to guide the selection of theoretical approaches to implementation research and practice. This taxonomy aims to help implementation researchers 1) translate research into practice, 2) conceptualize and understand the influences on implementation outcomes, and 3) evaluate frameworks for implementation. Differentiating among and within the aims, models and frameworks is essential for selecting appropriate approaches