Yu Catherine H, Ivers Noah M, Stacey Dawn, Rezmovitz Jeremy, Telner Deanna, Thorpe Kevin, Hall Susan, Settino Marc, Kaplan David M, Coons Michael, Sodhi Sumeet, Sale Joanna, Straus Sharon E
Li Ka Shing Knowledge Institute of St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Department of Medicine, University of Toronto, Toronto, ON, Canada.
Trials. 2015 Jun 27;16:286. doi: 10.1186/s13063-015-0797-8.
Competing health concerns present real obstacles to people living with diabetes and other chronic diseases as well as to their primary care providers. Guideline implementation interventions rarely acknowledge this, leaving both patients and providers feeling overwhelmed by the volume of recommended actions. Interprofessional (IP) shared decision-making (SDM) with the use of decision aids may help to set treatment priorities. We developed an evidence-based SDM intervention for patients with diabetes and other conditions that was framed by the IP-SDM model and followed a user-centered approach. Our objective in the present study is to pilot an IP-SDM and goal-setting toolkit following the Knowledge-to-Action Framework to assess (1) intervention fidelity and the feasibility of conducting a larger trial and (2) impact on decisional conflict, diabetes distress, health-related quality of life and patient assessment of chronic illness care.
METHODS/DESIGN: A two-step, parallel-group, clustered randomized controlled trial (RCT) will be conducted, with the primary goal being to assess intervention fidelity and the feasibility of conducting a larger RCT. The first step is a provider-directed implementation only; the second (after a 6-month delay) involves both provider- and patient-directed implementation. Half of the clusters will be assigned to receive the IP-SDM toolkit, and the other will be assigned to be mailed a diabetes guidelines summary. Individual interviews with patients, their family members and health care providers will be conducted upon trial completion to explore toolkit use. A secondary purpose of this trial is to gather estimates of the toolkit's impact on decisional conflict. Secondary outcomes include diabetes distress, quality of life and chronic illness care, which will be assessed on the basis of patient-completed questionnaires of validated scales at baseline and at 6 and 12 months. Multilevel hierarchical regression models will be used to account for the clustered nature of the data.
An individualized approach to patients with multiple chronic conditions using SDM and goal setting is a desirable strategy for achieving guideline-concordant treatment in a patient-centered fashion. Our pilot trial will provide insights regarding strategies for the routine implementation of such interventions in clinical practice, and it will offer an assessment of the impact of this approach.
Clinicaltrials.gov Identifier: NCT02379078. Date of Registration: 11 February 2015.
相互竞争的健康问题给糖尿病及其他慢性病患者及其初级保健提供者带来了切实的障碍。指南实施干预措施很少认识到这一点,导致患者和提供者都对大量推荐行动感到不堪重负。使用决策辅助工具的跨专业(IP)共同决策(SDM)可能有助于确定治疗优先级。我们针对糖尿病及其他疾病患者开发了一种基于证据的SDM干预措施,该措施以IP-SDM模型为框架,并遵循以用户为中心的方法。我们在本研究中的目标是按照知识转化为行动框架试点一个IP-SDM和目标设定工具包,以评估(1)干预的保真度以及开展更大规模试验的可行性,以及(2)对决策冲突、糖尿病困扰、健康相关生活质量和患者对慢性病护理的评估的影响。
方法/设计:将进行一项两步平行组整群随机对照试验(RCT),主要目标是评估干预的保真度以及开展更大规模RCT的可行性。第一步仅由提供者指导实施;第二步(延迟6个月后)涉及提供者和患者共同指导实施。一半的整群将被分配接受IP-SDM工具包,另一半将被分配邮寄一份糖尿病指南摘要。试验完成后,将对患者、其家庭成员和医疗保健提供者进行个体访谈,以探讨工具包的使用情况。该试验的第二个目的是收集对工具包对决策冲突影响的估计。次要结果包括糖尿病困扰、生活质量和慢性病护理,将根据患者在基线以及6个月和12个月时完成的经过验证量表的问卷进行评估。将使用多水平分层回归模型来考虑数据的整群性质。
使用SDM和目标设定对患有多种慢性病的患者采取个体化方法是以患者为中心实现符合指南治疗的理想策略。我们的试点试验将提供有关在临床实践中常规实施此类干预措施的策略的见解,并将对这种方法的影响进行评估。
Clinicaltrials.gov标识符:NCT02379078。注册日期:2015年2月11日。