IMplementing Predictive Analytics towards efficient COPD Treatments (IMPACT): protocol for a stepped-wedge cluster randomized impact study.

Kristina D Michaux, Rebecca K Metcalfe, Paloma Burns, Annalijn I Conklin, Alison M Hoens, Daniel Smith, Laura Struik, Abdollah Safari, Don D Sin, Mohsen Sadatsafavi
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Abstract

Introduction: Personalized disease management informed by quantitative risk prediction has the potential to improve patient care and outcomes. The integration of risk prediction into clinical workflow should be informed by the experiences and preferences of stakeholders, and the impact of such integration should be evaluated in prospective comparative studies. The objectives of the IMplementing Predictive Analytics towards efficient chronic obstructive pulmonary disease (COPD) treatments (IMPACT) study are to integrate an exacerbation risk prediction tool into routine care and to determine its impact on prescription appropriateness (primary outcome), medication adherence, quality of life, exacerbation rates, and sex and gender disparities in COPD care (secondary outcomes).

Methods: IMPACT will be conducted in two phases. Phase 1 will include the systematic and user-centered development of two decision support tools: (1) a decision tool for pulmonologists called the ACCEPT decision intervention (ADI), which combines risk prediction from the previously developed Acute COPD Exacerbation Prediction Tool with treatment algorithms recommended by the Canadian Thoracic Society's COPD pharmacotherapy guidelines, and (2) an information pamphlet for COPD patients (patient tool), tailored to their prescribed medication, clinical needs, and lung function. In phase 2, we will conduct a stepped-wedge cluster randomized controlled trial in two outpatient respiratory clinics to evaluate the impact of the decision support tools on quality of care and patient outcomes. Clusters will be practicing pulmonologists (n ≥ 24), who will progressively switch to the intervention over 18 months. At the end of the study, a qualitative process evaluation will be carried out to determine the barriers and enablers of uptake of the tools.

Discussion: The IMPACT study coincides with a planned harmonization of electronic health record systems across tertiary care centers in British Columbia, Canada. The harmonization of these systems combined with IMPACT's implementation-oriented design and partnership with stakeholders will facilitate integration of the tools into routine care, if the results of the proposed study reveal positive association with improvement in the process and outcomes of clinical care. The process evaluation at the end of the trial will inform subsequent design iterations before largescale implementation.

Trial registration: NCT05309356.

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对COPD有效治疗实施预测分析(IMPACT):一项楔步聚类随机影响研究的方案。
基于定量风险预测的个性化疾病管理具有改善患者护理和预后的潜力。将风险预测整合到临床工作流程中应根据利益相关者的经验和偏好,并应在前瞻性比较研究中评估这种整合的影响。对慢性阻塞性肺疾病(COPD)有效治疗实施预测分析(IMPACT)研究的目标是将加重风险预测工具整合到常规护理中,并确定其对处方适当性(主要结局)、药物依从性、生活质量、加重率以及COPD护理中的性别差异(次要结局)的影响。方法:IMPACT将分两个阶段进行。第一阶段将包括系统和以用户为中心的两种决策支持工具的开发:(1)肺科医生的决策工具,称为ACCEPT决策干预(ADI),它将先前开发的急性COPD恶化预测工具的风险预测与加拿大胸科学会COPD药物治疗指南推荐的治疗算法相结合;(2)COPD患者的信息小册子(患者工具),根据他们的处方药物,临床需求和肺功能量身定制。在第二阶段,我们将在两家门诊呼吸系统诊所进行一项楔步聚类随机对照试验,以评估决策支持工具对护理质量和患者预后的影响。分组将是执业肺科医生(n≥24),他们将在18个月内逐步转向干预。在研究结束时,将进行定性过程评价,以确定采用这些工具的障碍和推动因素。讨论:IMPACT研究与加拿大不列颠哥伦比亚省三级保健中心的电子健康记录系统计划协调一致。如果拟议的研究结果显示与临床护理过程和结果的改善呈正相关,那么这些系统的协调与IMPACT面向实施的设计以及与利益相关者的伙伴关系相结合,将有助于将这些工具整合到常规护理中。试验结束时的工艺评估将为大规模实施前的后续设计迭代提供信息。试验注册:NCT05309356。
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