Exploring the impact of evaluation on learning and health innovation sustainability: protocol for a realist synthesis

Author:

Bird MarissaORCID,Côté-Boileau Élizabeth,Wodchis Walter P.,Jeffs Lianne,MacPhee Maura,Shaw James,Austin Tujuanna,Bruno Frances,Bhalla Megan,Gray Carolyn Steele

Abstract

Abstract Background Within the Learning Health System (LHS) model, learning routines, including evaluation, allow for continuous incremental change to take place. Within these learning routines, evaluation assists in problem identification, data collection, and data transformation into contextualized information, which is then re-applied to the LHS environment. Evaluation that catalyzes learning and improvement may also contribute to health innovation sustainability. However, there is little consensus as to why certain evaluations seem to support learning and sustainability, while others impede it. This realist synthesis seeks to understand the contextual factors and underlying mechanisms or drivers that best support health systems learning and sustainable innovation. Methods This synthesis will be guided by Pawson and colleagues’ 2005 and Emmel and colleagues’ 2018 guidelines for conducting realist syntheses. The review process will encompass five steps: (1) scoping the review, (2) building theories, (3) identifying the evidence, (4) evidence selection and appraisal, and (5) data extraction and synthesis. An Expert Committee comprised of leaders in evaluation, innovation, sustainability, and realist methodology will guide this synthesis. Review findings will be reported using the RAMESES guidelines. Discussion The use of a realist review will allow for exploration and theorizing about the contextual factors and underlying mechanisms that make evaluations ‘work’ (or ‘not work’) to support learning and sustainability. Depending on results, we will attempt to synthesize findings into a series of recommendations for evaluations with the intention to support health systems learning and sustainability. Finalized results will be presented at national and international conferences, as well as disseminated via a peer-reviewed publication. Systematic review registration This realist synthesis protocol has been registered with PROSPERO (https://www.crd.york.ac.uk/prospero/ ID 382690).

Publisher

Springer Science and Business Media LLC

Subject

Medicine (miscellaneous)

Reference33 articles.

1. Sheikh K, Abimbola S. Learning health systems: pathways to progress. Geneva: World Health Organization; 2021.

2. Foley T, Horwitz L, Zahran R. Realising the potential of learning health systems. UK: Newcastle University; 2021.

3. Smith M, Saunders R, Stuckhardt L, McGinnis JM. Best care at lower cost: the path to continuously learning health care in America. Washington D.C.: National Academies Press; 2013.

4. Menear M, Blanchette MA, Demers-Payette O, Roy D. A framework for value-creating learning health systems. Health Res Policy Syst. 2019;17(1):79.

5. Kuluski K, Guilcher SJT. Toward a person-centred learning health system: understanding value from the perspectives of patients and caregivers. Healthc Pap. 2019;18(4):36–46.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3