Golas Sara Bersche, Nikolova-Simons Mariana, Palacholla Ramya, Op den Buijs Jorn, Garberg Gary, Orenstein Allison, Kvedar Joseph
Partners Connected Health Innovation, Partners HealthCare, Boston, MA, USA.
Philips Research, Eindhoven, The Netherlands.
NPJ Digit Med. 2021 Jun 10;4(1):97. doi: 10.1038/s41746-021-00463-y.
This study explored the potential to improve clinical outcomes in patients at risk of moving to the top segment of the cost acuity pyramid. This randomized controlled trial evaluated the impact of a Stepped-Care approach (predictive analytics + tailored nurse-driven interventions) on healthcare utilization among 370 older adult patients enrolled in a homecare management program and using a Personal Emergency Response System. The Control group (CG) received care as usual, while the Intervention group (IG) received Stepped-Care during a 180-day intervention period. The primary outcome, decrease in emergency encounters, was not statistically significant (15%, p = 0.291). However, compared to the CG, the IG had significant reductions in total 90-day readmissions (68%, p = 0.007), patients with 90-day readmissions (76%, p = 0.011), total 180-day readmissions (53%, p = 0.020), and EMS encounters (49%, p = 0.006). Predictive analytics combined with tailored interventions could potentially improve clinical outcomes in older adults, supporting population health management in home or community settings.
本研究探讨了改善处于成本敏锐度金字塔顶端风险患者临床结局的潜力。这项随机对照试验评估了一种阶梯式护理方法(预测分析 + 量身定制的护士驱动干预措施)对370名参加家庭护理管理计划并使用个人应急响应系统的老年患者医疗保健利用率的影响。对照组(CG)接受常规护理,而干预组(IG)在180天的干预期内接受阶梯式护理。主要结局,即急诊就诊次数的减少,无统计学意义(15%,p = 0.291)。然而,与对照组相比,干预组在90天内的总再入院率(68%,p = 0.007)、90天内有再入院情况的患者(76%,p = 0.011)、180天内的总再入院率(53%,p = 0.020)以及急救医疗服务(EMS)就诊次数(49%,p = 0.006)方面均有显著降低。预测分析与量身定制的干预措施相结合可能会改善老年人的临床结局,支持家庭或社区环境中的人群健康管理。