Data-driven approach to implementation mapping for the selection of implementation strategies: a case example for risk-aligned bladder cancer surveillance.
Data-driven approach to implementation mapping for the selection of implementation strategies: a case example for risk-aligned bladder cancer surveillance.
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DOI：
10.1186/s13012-022-01231-6
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发表时间：
2022-09-01
影响因子：
7.2
通讯作者：
Zubkoff, Lisa
中科院分区：
文献类型：
--
作者：
Schroeck, Florian R.;Ismail, A. Aziz Ould;Haggstrom, David A.;Sanchez, Steven L.;Walker, DeRon R.;Zubkoff, Lisa
实施映射是一种选择实施策略的有组织的方法。然而，有73个专家建议实施变革战略。因此，实施科学家很难将所有潜在的战略映射到他们选择的实施科学框架的决定因素。以前的工作使用实施映射雇用咨询小组选择实施战略。本文提出了一种数据驱动的实施映射方法，其中我们使用慢性病定制实施（TICD）框架系统地评估了所有73个ERIC策略。我们说明我们的方法使用风险对齐膀胱癌监测的实施作为一个案例。我们根据先前收集的定性数据制定了目标，这些数据由TICD决定因素组织，即，需要做出哪些改变，以实现更符合风险的监管。接下来，我们评估了所有73种ERIC策略，排除了不适用于我们临床环境的策略。其余的策略映射到目标使用数据可视化技术，使大矩阵的意义。最后，我们选择了具有高影响力的策略，基于（1）广泛的范围，定义为解决超过中位数目标的策略，（2）需要临床团队投入少量或中等时间，以及（3）来自文献的有效性证据。我们确定了63个独特的目标。在73种ERIC策略中，有45种被排除，因为它们不适用于我们的临床环境（例如，在设定的范围内不可行，不适合上下文）。因此，28个ERIC战略被映射到63个目标。战略涉及0至26个目标（中位数10.5）。在28项ERIC策略中，10项需要临床团队投入少量时间，8项需要临床团队投入适量时间。我们根据高影响力选择了9种策略，每种策略都有明确的选择理由。我们通过数据驱动的方法来选择实施策略，从而增强了实施映射。我们的方法为其他实施科学家选择实施策略时使用提供了一种实用的方法，并具有数据驱动的策略选择优于专家意见的优势。在线版本包含补充材料，可通过10.1186/s13012-022-01231-6获得。
Implementation Mapping is an organized method to select implementation strategies. However, there are 73 Expert Recommendations for Implementing Change (ERIC) strategies. Thus, it is difficult for implementation scientists to map all potential strategies to the determinants of their chosen implementation science framework. Prior work using Implementation Mapping employed advisory panels to select implementation strategies. This article presents a data-driven approach to implementation mapping, in which we systematically evaluated all 73 ERIC strategies using the Tailored Implementation for Chronic Diseases (TICD) framework. We illustrate our approach using implementation of risk-aligned bladder cancer surveillance as a case example. We developed objectives based on previously collected qualitative data organized by TICD determinants, i.e., what needs to be changed to achieve more risk-aligned surveillance. Next, we evaluated all 73 ERIC strategies, excluding those that were not applicable to our clinical setting. The remaining strategies were mapped to the objectives using data visualization techniques to make sense of the large matrices. Finally, we selected strategies with high impact, based on (1) broad scope, defined as a strategy addressing more than the median number of objectives, (2) requiring low or moderate time commitment from clinical teams, and (3) evidence of effectiveness from the literature. We identified 63 unique objectives. Of the 73 ERIC strategies, 45 were excluded because they were not applicable to our clinical setting (e.g., not feasible within the confines of the setting, not appropriate for the context). Thus, 28 ERIC strategies were mapped to the 63 objectives. Strategies addressed 0 to 26 objectives (median 10.5). Of the 28 ERIC strategies, 10 required low and 8 moderate time commitments from clinical teams. We selected 9 strategies based on high impact, each with a clearly documented rationale for selection. We enhanced Implementation Mapping via a data-driven approach to the selection of implementation strategies. Our approach provides a practical method for other implementation scientists to use when selecting implementation strategies and has the advantage of favoring data-driven strategy selection over expert opinion. The online version contains supplementary material available at 10.1186/s13012-022-01231-6.
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DOI：
10.1186/s12966-020-01032-4
发表时间：
2020-10-09
期刊：
The international journal of behavioral nutrition and physical activity
影响因子：
--
作者：
Kennedy MA;Bayes S;Newton RU;Zissiadis Y;Spry NA;Taaffe DR;Hart NH;Davis M;Eiszele A;Galvão DA
通讯作者：
Galvão DA
DOI：
10.1186/1748-5908-4-50
发表时间：
2009-08-07
期刊：
Implementation science : IS
影响因子：
--
作者：
Damschroder LJ;Aron DC;Keith RE;Kirsh SR;Alexander JA;Lowery JC
通讯作者：
Lowery JC
将健康平等领域纳入实施确定框架中的更实用的指南。
影响因子：
--
作者：
Woodward EN;Singh RS;Ndebele-Ngwenya P;Melgar Castillo A;Dickson KS;Kirchner JE
通讯作者：
Kirchner JE
影响因子：
13.8
作者：
Schroeck, Florian R.;Lynch, Kristine E.;Sirovich, Brenda
通讯作者：
Sirovich, Brenda
影响因子：
8.3
作者：
Klaiman T;Silvestri JA;Srinivasan T;Szymanski S;Tran T;Oredeko F;Sjoding MW;Fuchs BD;Maillie S;Jablonski J;Lane-Fall MB;Kerlin MP
通讯作者：
Kerlin MP