Nikolova-Simons Mariana, Golas Sara Bersche, den Buijs Jorn Op, Palacholla Ramya S, Garberg Gary, Orenstein Allison, Kvedar Joseph
Philips Research, Eindhoven, The Netherlands.
Partners Connected Health Innovation, Partners HealthCare, Boston, MA, USA.
NPJ Digit Med. 2021 Jun 3;4(1):92. doi: 10.1038/s41746-021-00449-w.
This two-arm randomized controlled trial evaluated the impact of a Stepped-Care intervention (predictive analytics combined with tailored interventions) on the healthcare costs of older adults using a Personal Emergency Response System (PERS). A total of 370 patients aged 65 and over with healthcare costs in the middle segment of the cost pyramid for the fiscal year prior to their enrollment were enrolled for the study. During a 180-day intervention period, control group (CG) received standard care, while intervention group (IG) received the Stepped-Care intervention. The IG had 31% lower annualized inpatient cost per patient compared with the CG (3.7 K, $8.1 K vs. $11.8 K, p = 0.02). Both groups had similar annualized outpatient costs per patient ($6.1 K vs. $5.8 K, p = 0.10). The annualized total cost reduction per patient in the IG vs. CG was 20% (3.5 K, $17.7 K vs. $14.2 K, p = 0.04). Predictive analytics coupled with tailored interventions has great potential to reduce healthcare costs in older adults, thereby supporting population health management in home or community settings.
这项双臂随机对照试验评估了分级护理干预（预测分析与个性化干预相结合）对使用个人应急响应系统（PERS）的老年人医疗费用的影响。共有370名65岁及以上的患者参与了该研究，这些患者在入组前一财年的医疗费用处于费用金字塔的中间段。在为期180天的干预期内，对照组（CG）接受标准护理，而干预组（IG）接受分级护理干预。与对照组相比，干预组每位患者的年化住院费用降低了31%（3.7千美元，8100美元对11800美元，p = 0.02）。两组每位患者的年化门诊费用相似（6100美元对5800美元，p = 0.10）。干预组与对照组相比，每位患者的年化总成本降低了20%（3500美元，17700美元对14200美元，p = 0.04）。预测分析与个性化干预相结合在降低老年人医疗费用方面具有巨大潜力，从而支持家庭或社区环境中的人群健康管理。
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