Patel Bindu, Patel Anushka, Jan Stephen, Usherwood Tim, Harris Mark, Panaretto Katie, Zwar Nicholas, Redfern Julie, Jansen Jesse, Doust Jenny, Peiris David
The George Institute for Global Health, University of Sydney, Sydney, NSW, 2006, Australia.
University of Sydney, Sydney, NSW, 2006, Australia.
Implement Sci. 2014 Dec 17;9:187. doi: 10.1186/s13012-014-0187-8.
Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. Despite the widespread availability of evidence-based clinical guidelines and validated risk predication equations for prevention and management of CVD, their translation into routine practice is limited. We developed a multifaceted quality improvement intervention for CVD risk management which incorporates electronic decision support, patient risk communication tools, computerised audit and feedback tools, and monthly, peer-ranked performance feedback via a web portal. The intervention was implemented in a cluster randomised controlled trial in 60 primary healthcare services in Australia. Overall, there were improvements in risk factor recording and in prescribing of recommended treatments among under-treated individuals, but it is unclear how this intervention was used in practice and what factors promoted or hindered its use. This information is necessary to optimise intervention impact and maximally implement it in a post-trial context. In this study protocol, we outline our methods to conduct a theory-based, process evaluation of the intervention. Our aims are to understand how, why, and for whom the intervention produced the observed outcomes and to develop effective strategies for translation and dissemination.
METHODS/DESIGN: We will conduct four discrete but inter-related studies taking a mixed methods approach. Our quantitative studies will examine (1) the longer term effectiveness of the intervention post-trial, (2) patient and health service level correlates with trial outcomes, and (3) the health economic impact of implementing the intervention at scale. The qualitative studies will (1) identify healthcare provider perspectives on implementation barriers and enablers and (2) use video ethnography and patient semi-structured interviews to understand how cardiovascular risk is communicated in the doctor/patient interaction both with and without the use of intervention. We will also assess the costs of implementing the intervention in Australian primary healthcare settings which will inform scale-up considerations.
This mixed methods evaluation will provide a detailed understanding of the process of implementing a quality improvement intervention and identify the factors that might influence scalability and sustainability.
12611000478910.
心血管疾病(CVD)是全球范围内导致死亡和残疾的主要原因。尽管有广泛可用的基于证据的临床指南以及用于心血管疾病预防和管理的经过验证的风险预测方程,但它们在常规实践中的应用仍然有限。我们开发了一种用于心血管疾病风险管理的多方面质量改进干预措施,该措施纳入了电子决策支持、患者风险沟通工具、计算机化审核与反馈工具,以及通过网络门户进行的每月同行排名绩效反馈。该干预措施在澳大利亚60家初级医疗服务机构的一项整群随机对照试验中实施。总体而言,在风险因素记录以及未充分治疗个体的推荐治疗处方方面有所改善,但尚不清楚该干预措施在实际中是如何使用的,以及哪些因素促进或阻碍了其使用。这些信息对于优化干预效果并在试验后环境中最大程度地实施该措施是必要的。在本研究方案中,我们概述了对该干预措施进行基于理论的过程评估的方法。我们的目标是了解该干预措施如何、为何以及对谁产生了观察到的结果,并制定有效的转化和传播策略。
方法/设计:我们将采用混合方法进行四项独立但相互关联的研究。我们的定量研究将考察:(1)试验后干预措施的长期效果;(2)患者和卫生服务层面与试验结果的相关性;(3)大规模实施该干预措施的卫生经济影响。定性研究将:(1)确定医疗保健提供者对实施障碍和促进因素的看法;(2)使用视频人种志和患者半结构化访谈来了解在使用和不使用干预措施的情况下,心血管风险在医患互动中是如何沟通的。我们还将评估在澳大利亚初级医疗环境中实施该干预措施的成本,这将为扩大规模的考量提供信息。
这种混合方法评估将提供对实施质量改进干预措施过程的详细理解,并确定可能影响可扩展性和可持续性的因素。
12611000478910。