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一项复杂住房干预实施策略的开发与测试:一项混合方法研究的方案

Development and testing of an implementation strategy for a complex housing intervention: protocol for a mixed methods study.

作者信息

Watson Dennis P, Young Jeani, Ahonen Emily, Xu Huiping, Henderson Macey, Shuman Valery, Tolliver Randi

机构信息

Department of Health Policy and Management, Indiana University, Richard M, Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, 714 N, Senate Ave, Indianapolis 46202, IN, USA.

出版信息

Implement Sci. 2014 Oct 17;9:138. doi: 10.1186/s13012-014-0138-4.

Abstract

BACKGROUND

There is currently a lack of scientifically designed and tested implementation strategies. Such strategies are particularly important for highly complex interventions that require coordination between multiple parts to be successful. This paper presents a protocol for the development and testing of an implementation strategy for a complex intervention known as the Housing First model (HFM). Housing First is an evidence-based practice for chronically homeless individuals demonstrated to significantly improve a number of outcomes.

METHODS/DESIGN: Drawing on practices demonstrated to be useful in implementation and e-learning theory, our team is currently adapting a face-to-face implementation strategy so that it can be delivered over a distance. Research activities will be divided between Chicago and Central Indiana, two areas with significantly different barriers to HFM implementation. Ten housing providers (five from Chicago and five from Indiana) will be recruited to conduct an alpha test of each of four e-learning modules as they are developed. Providers will be requested to keep a detailed log of their experience completing the modules and participate in one of two focus groups. After refining the modules based on alpha test results, we will test the strategy among a sample of four housing organizations (two from Chicago and two from Indiana). We will collect and analyze both qualitative and quantitative data from administration and staff. Measures of interest include causal factors affecting implementation, training outcomes, and implementation outcomes.

DISCUSSION

This project is an important first step in the development of an evidence-based implementation strategy to increase scalability and impact of the HFM. The project also has strong potential to increase limited scientific knowledge regarding implementation strategies in general.

摘要

背景

目前缺乏经过科学设计和测试的实施策略。对于需要多个部分协同才能成功的高度复杂干预措施而言,此类策略尤为重要。本文介绍了一种针对名为“优先提供住房模式”(HFM)的复杂干预措施的实施策略的开发与测试方案。优先提供住房模式是一种针对长期无家可归者的循证实践方法,已证明能显著改善多项结果。

方法/设计:借鉴已证明在实施过程中有用的实践方法和电子学习理论,我们的团队目前正在调整一种面对面的实施策略,使其能够远程提供。研究活动将在芝加哥和印第安纳州中部进行,这两个地区在实施优先提供住房模式时面临的障碍差异显著。将招募十家住房提供商(五家来自芝加哥,五家来自印第安纳州),在四个电子学习模块开发完成后对每个模块进行阿尔法测试。将要求提供商详细记录他们完成模块的体验,并参加两个焦点小组之一。根据阿尔法测试结果对模块进行完善后,我们将在四个住房组织(两家来自芝加哥,两家来自印第安纳州)的样本中测试该策略。我们将从管理人员和工作人员那里收集和分析定性和定量数据。感兴趣的指标包括影响实施的因果因素、培训结果和实施结果。

讨论

该项目是制定循证实施策略以提高优先提供住房模式可扩展性和影响力的重要第一步。该项目还有很大潜力增加关于一般实施策略的有限科学知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2da9/4201917/695b04749e1b/13012_2014_138_Fig1_HTML.jpg

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