Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
Circ Cardiovasc Qual Outcomes. 2021 Jul;14(7):e007741. doi: 10.1161/CIRCOUTCOMES.121.007741. Epub 2021 Jul 15.
Thirty-day readmissions among patients with acute myocardial infarction (AMI) contribute to the US health care burden of preventable complications and costs. Digital health interventions (DHIs) may improve patient health care self-management and outcomes. We aimed to determine if patients with AMI using a DHI have lower 30-day unplanned all-cause readmissions than a historical control.
This nonrandomized controlled trial with a historical control, conducted at 4 US hospitals from 2015 to 2019, included 1064 patients with AMI (DHI n=200, control n=864). The DHI integrated a smartphone application, smartwatch, and blood pressure monitor to support guideline-directed care during hospitalization and through 30-days post-discharge via (1) medication reminders, (2) vital sign and activity tracking, (3) education, and (4) outpatient care coordination. The Patient Activation Measure assessed patient knowledge, skills, and confidence for health care self-management. All-cause 30-day readmissions were measured through administrative databases. Propensity score-adjusted Cox proportional hazard models estimated hazard ratios of readmission for the DHI group relative to the control group.
Following propensity score adjustment, baseline characteristics were well-balanced between the DHI versus control patients (standardized differences <0.07), including a mean age of 59.3 versus 60.1 years, 30% versus 29% Women, 70% versus 70% White, 54% versus 54% with private insurance, 61% versus 60% patients with a non ST-elevation myocardial infarction, and 15% versus 15% with high comorbidity burden. DHI patients were predominantly in the highest levels of patient activation for health care self-management (mean score 71.7±16.6 at 30 days). The DHI group had fewer all-cause 30-day readmissions than the control group (6.5% versus 16.8%, respectively). Adjusting for hospital site and a propensity score inclusive of age, sex, race, AMI type, comorbidities, and 6 additional confounding factors, the DHI group had a 52% lower risk for all-cause 30-day readmissions (hazard ratio, 0.48 [95% CI, 0.26-0.88]). Similar results were obtained in a sensitivity analysis employing propensity matching.
Our results suggest that in patients with AMI, the DHI may be associated with high patient activation for health care self-management and lower risk of all-cause unplanned 30-day readmissions. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03760796.
急性心肌梗死(AMI)患者的 30 天再入院导致美国出现可预防并发症和费用的医疗负担。数字健康干预(DHI)可能改善患者的医疗保健自我管理和结果。我们旨在确定使用 DHI 的 AMI 患者与历史对照组相比,30 天内非计划性全因再入院率是否较低。
这是一项在 2015 年至 2019 年在美国 4 家医院进行的非随机对照试验,纳入了 1064 名 AMI 患者(DHI 组 200 名,对照组 864 名)。DHI 整合了智能手机应用程序、智能手表和血压监测仪,以在住院期间和出院后 30 天内通过以下方式支持指南指导的护理:(1)药物提醒;(2)生命体征和活动跟踪;(3)教育;(4)门诊护理协调。患者激活量表评估了患者的知识、技能和信心,以进行医疗保健自我管理。通过行政数据库测量全因 30 天再入院情况。采用倾向评分调整的 Cox 比例风险模型估计 DHI 组相对于对照组的再入院风险比。
在进行倾向评分调整后,DHI 组与对照组之间的基线特征平衡良好(标准化差异<0.07),包括平均年龄分别为 59.3 岁和 60.1 岁,30%和 29%为女性,70%和 70%为白人,54%和 54%有私人保险,61%和 60%为非 ST 段抬高型心肌梗死患者,15%和 15%为高合并症患者。DHI 组患者在医疗保健自我管理方面的患者激活水平较高(30 天时平均得分 71.7±16.6)。DHI 组的全因 30 天再入院率低于对照组(分别为 6.5%和 16.8%)。在调整医院地点和包含年龄、性别、种族、AMI 类型、合并症和 6 个额外混杂因素的倾向评分后,DHI 组的全因 30 天再入院风险降低了 52%(风险比,0.48[95%CI,0.26-0.88])。在采用倾向评分匹配的敏感性分析中也得到了类似的结果。
我们的结果表明,在 AMI 患者中,DHI 可能与较高的医疗保健自我管理患者激活水平相关,并降低全因非计划性 30 天再入院风险。注册:网址:https://www.clinicaltrials.gov;唯一标识符:NCT03760796。