The mechanics of implementation strategies and measures: advancing the study of implementation mechanisms

Author:

Lewis Cara C.ORCID,Klasnja Predrag,Lyon Aaron R.,Powell Byron J.,Lengnick-Hall Rebecca,Buchanan Gretchen,Meza Rosemary D.,Chan Michelle C.,Boynton Marcella H.,Weiner Bryan J.

Abstract

Abstract Background There is a fundamental gap in understanding the causal mechanisms by which strategies for implementing evidence-based practices address local barriers to effective, appropriate service delivery. Until this gap is addressed, scientific knowledge and practical guidance about which implementation strategies to use in which contexts will remain elusive. This research project aims to identify plausible strategy-mechanism linkages, develop causal models for mechanism evaluation, produce measures needed to evaluate such linkages, and make these models, methods, and measures available in a user-friendly website. The specific aims are as follows: (1) build a database of strategy-mechanism linkages and associated causal pathway diagrams, (2) develop psychometrically strong, pragmatic measures of mechanisms, and (3) develop and disseminate a website of implementation mechanisms knowledge for use by diverse stakeholders. Methods For the first aim, a combination of qualitative inquiry, expert panel methods, and causal pathway diagramming will be used to identify and confirm plausible strategy-mechanism linkages and articulate moderators, preconditions, and proximal and distal outcomes associated with those linkages. For the second aim, rapid-cycle measure development and testing methods will be employed to create reliable, valid, pragmatic measures of six mechanisms of common strategies for which no high-quality measures exist. For the third aim, we will develop a user-friendly website and searchable database that incorporates user-centered design, disseminating the final product using social marketing principles. Discussion Once strategy-mechanism linkages are identified using this multi-method approach, implementation scientists can use the searchable database to develop tailored implementation strategies and generate more robust evidence about which strategies work best in which contexts. Moreover, practitioners will be better able to select implementation strategies to address their specific implementation problems. New horizons in implementation strategy development, optimization, evaluation, and deployment are expected to be more attainable as a result of this research, which will lead to enhanced implementation of evidence-based interventions for cancer control, and ultimately improvements in patient outcomes.

Funder

Division of Cancer Epidemiology and Genetics, National Cancer Institute

National Institute of Mental Health

Agency for Healthcare Research and Quality

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference57 articles.

1. Rabin BA, Glasgow RE, Kerner JF, Klump MP, Brownson RC. Dissemination and implementation research on community-based cancer prevention: a systematic review. Am J Prev Med. 2010;38(4):443–56.

2. Glasgow RE, Marcus AC, Bull SS, Wilson KM. Disseminating effective cancer screening interventions. Cancer. 2004;101(S5):1239–50.

3. Society for Implementation Research Collaboration. 4th Biennial Society for Implementation Research Collaboration 2018. Available from: https://societyforimplementationresearchcollaboration.org/4th-biennial-society-for-implementation-research-collaboration/. [Cited 2022 July 15].

4. Lewis CC, Larson M, Marriott BR, Jackson CB, Dorsey CN, Kerns SEU, et al. Optimizing psychological science’s impact on public health: Association for Pyschological Science; 2018. Available from: https://www.psychologicalscience.org/observer/optimizing-psychological-sciences-impact-on-public-health. [Cited 2022 July 15].

5. Ngo VK. Randomized control trial on implementation strategies for task-shifting depression care in Vietnam: Grantome; 2017. Available from: http://grantome.com/grant/NIH/R56-MH112630-01. [Cited 2022 July 15].

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