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完善实施研究逻辑模型:一项文献计量分析、用户调查及范围综述方案

Refining the implementation research logic model: a citation analysis, user survey, and scoping review protocol.

作者信息

Merle James L, Sloss Elizabeth A, Sanuade Olutobi A, Lengnick-Hall Rebecca, Meza Rosemary, Golden Caitlin, Simmons Rebecca G, Velazquez Alicia, Hill Jennie L, Estabrooks Paul A, McFarland Mary M, Rafferty Miriam R, Li Dennis H, Smith Justin D

机构信息

Department of Population Health Sciences, Division of Health System Innovation and Research, Spencer Fox Eccles School of Medicine at The University of Utah, Salt Lake City, UT, United States.

College of Nursing, University of Utah, Salt Lake City, UT, United States.

出版信息

Front Health Serv. 2024 Oct 24;4:1490764. doi: 10.3389/frhs.2024.1490764. eCollection 2024.

DOI:10.3389/frhs.2024.1490764
PMID:39512272
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11540644/
Abstract

INTRODUCTION

The Implementation Research Logic Model (IRLM) aids users in combining, organizing, and specifying the relationships between important constructs in implementation research. The goal of the IRLM is to improve the rigor, reproducibility, and transparency of implementation research projects. The article describing the IRLM was published September 25, 2020 (, Vol 15); it has since been highly cited and included as a required element in multiple funding opportunity announcements from federal agencies. The proliferation of IRLM use across dissemination and implementation research projects and practice provides an excellent opportunity to examine applications across a variety of different contexts. This protocol will result in a description of the impact of the IRLM on the field of dissemination and implementation science and guidance on refinements to the IRLM to increase its utility and impact through (1) a citation analysis, (2) a scoping review, and (3) user surveys and interviews.

METHODS AND ANALYSIS

This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review reporting guidelines (PRISMA-ScR). We plan to conduct a citation search and analysis of the Smith et al. 2020 article and a scoping review. The review search will be conducted in Medline, Embase, CINAHL Complete, Cochrane Library, APA PsycINFO4, ProQuest Dissertations & Theses Global, Scopus and Web of Science Core Collection., and grey literature will be searched to identify studies that use alternative logic models for implementation research. A survey will be developed from the findings of the scoping review and administered to individuals who used the IRLM. Semi-structured interviews will then be conducted with a sample of survey respondents to provide an opportunity for sequential mixed-methods analysis to achieve a deeper understanding of needed IRLM refinements and recommendations.

ETHICS AND DISSEMINATION

Ethics approval for the scoping review and citation analysis is not applicable as only data from published literature will be used and no original data will be collected. For the survey, IRB will be completed once items are developed from the results of the scoping review and citation analysis. Results will be disseminated through peer-reviewed publications, conference presentations, and via online tools.

REGISTRATION DETAILS

This protocol was registered with OSF, https://osf.io/y94bj (1).

摘要

引言

实施研究逻辑模型(IRLM)可帮助用户组合、组织并明确实施研究中重要结构之间的关系。IRLM的目标是提高实施研究项目的严谨性、可重复性和透明度。描述IRLM的文章于2020年9月25日发表(第15卷);此后它被大量引用,并被纳入联邦机构多个资助机会公告的必备要素中。IRLM在传播与实施研究项目及实践中的广泛应用为考察其在各种不同背景下的应用提供了绝佳机会。本方案将通过(1)引文分析、(2)范围综述以及(3)用户调查与访谈,描述IRLM对传播与实施科学领域的影响,并提供对IRLM进行完善以提高其效用和影响力的指导。

方法与分析

本方案遵循系统评价与Meta分析扩展版范围综述报告指南(PRISMA-ScR)的首选报告项目。我们计划对史密斯等人2020年的文章进行引文检索与分析,并开展范围综述。综述检索将在Medline、Embase、CINAHL Complete、Cochrane图书馆、美国心理学会心理学文摘数据库4、ProQuest全球博硕士论文数据库、Scopus和科学引文索引核心合集进行,同时将检索灰色文献以识别使用替代逻辑模型进行实施研究的文献。将根据范围综述的结果制定一份调查问卷,并发放给使用IRLM的人员。然后将对部分调查对象进行半结构式访谈,以便进行序列混合方法分析,从而更深入地了解IRLM所需的完善之处和建议。

伦理与传播

由于仅使用已发表文献中的数据且不收集原始数据,因此范围综述和引文分析无需伦理批准。对于调查,一旦根据范围综述和引文分析的结果制定出调查项目,将完成机构审查委员会(IRB)审批。研究结果将通过同行评审出版物、会议报告以及在线工具进行传播。

注册详情

本方案已在开放科学框架(OSF)注册,网址为https://osf.io/y94bj (1)。

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