Improving the normalization of complex interventions: measure development based on normalization process theory (NoMAD): study protocol

Improving the normalization of complex interventions: measure development based on normalization process theory (NoMAD): study protocol
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DOI:
10.1186/1748-5908-8-43
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发表时间:
2013-04-11
影响因子:
7.2
通讯作者:
May, Carl R.
May, Carl R.
中科院分区:
医学1区
文献类型:
--
作者:
Finch, Tracy L.;Rapley, Tim;May, Carl R.

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背景资料:了解实施过程是确保医疗保健中的复杂干预措施在实践中得到实施的关键,从而最大限度地提高服务提供和(最终)患者护理的预期效益。正常化过程理论(NPT)为理解新的干预如何成为正常实践的一部分提供了一个框架。本研究的目的是开发和验证简单的通用工具来自NPT,用于改善复杂的医疗干预措施的实施。Objectives:本研究的目标是:开发一套基于NPT的措施和形成性评估其使用,以确定实施问题和监测进展;在一系列干预措施和背景下对这些措施进行初步评价,并确定影响这一进程的因素;探讨这些措施在预测结果方面的效用;并为这些措施编制一份在线用户手册。(研讨会,项目开发,用户反馈,认知访谈)和定量(调查)方法将用于制定NPT措施,并在六个医疗干预设置中测试这些措施的效用。研究中制定的措施将可供参与规划、执行评估医疗保健中的复杂干预措施,并有可能提高其实施的机会,从而导致工作实践的持续变化。
Background: Understanding implementation processes is key to ensuring that complex interventions in healthcare are taken up in practice and thus maximize intended benefits for service provision and (ultimately) care to patients. Normalization Process Theory (NPT) provides a framework for understanding how a new intervention becomes part of normal practice. This study aims to develop and validate simple generic tools derived from NPT, to be used to improve the implementation of complex healthcare interventions.Objectives: The objectives of this study are to: develop a set of NPT-based measures and formatively evaluate their use for identifying implementation problems and monitoring progress; conduct preliminary evaluation of these measures across a range of interventions and contexts, and identify factors that affect this process; explore the utility of these measures for predicting outcomes; and develop an online users' manual for the measures.Methods: A combination of qualitative (workshops, item development, user feedback, cognitive interviews) and quantitative (survey) methods will be used to develop NPT measures, and test the utility of the measures in six healthcare intervention settings.Discussion: The measures developed in the study will be available for use by those involved in planning, implementing, and evaluating complex interventions in healthcare and have the potential to enhance the chances of their implementation, leading to sustained changes in working practices.