跳至主要内容
临床试验/NCT06916247
NCT06916247已完成不适用

Evaluation of MA Proactive Care Program Using Cost Prediction Model With Randomized Waitlist

University of California, Los Angeles1 个研究点 分布在 1 个国家目标入组 4,962 人开始时间: 2024年7月31日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
已完成
入组人数
4,962
试验地点
1
主要终点
Days alive and out of hospital (DAOH) at 120 days from randomization

研究概览

简要总结

Currently, UCLA Health (specifically the Office of Population Health and Accountable Care, or OPHAC) runs a complex care management program called Proactive Care (goal is to reduce care utilization by providing personalized care navigation/case management). Every month, an AI Population Risk tool runs to identify around 250 of the 480,000 or so UCLA primary care patients, and RNs contact these 250 patients to enroll in Proactive Care. Starting in December 2024, OPHAC launched a new method of enrolling UCLA's Medicare Advantage (MA) patients into Proactive Care: an AI Cost Prediction model. The idea is the same-- the top 250 highest predicted cost patients will be enrolled in Proactive Care. The investigators will evaluate this model and subsequent enrollment into the program by randomizing the waitlist of MA patients waiting to enroll in Proactive Care, thereby creating a control group. The top 500 highest predicted cost patients will be identified each month, and following a 1:1 randomization, 250 will be contacted for enrollment and the rest will be put on a wait-list control group for 10 months unless otherwise requested by their provider to be enrolled in the Proactive Care program earlier.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
Double (Investigator, Outcomes Assessor)

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •At least 18 years of age
  • •Enrolled in a UCLA Managed Care Plan
  • •Cost prediction model identifies patient as having high predicted costs over the next 12 months

排除标准

  • •Currently enrolled in any UCLA care management program
  • •Enrolled in any UCLA care management program in the last 12 months
  • •Already has an active referral to a care management program

研究组 & 干预措施

Care as usual

No Intervention

Patient randomized to be put on a waitlist for being contacted for enrollment into ProActive Care (ie, not enrolled in ProActive Care).

Complex Care Management

Active Comparator

Patients randomized to be contacted for enrollment into the complex care management program called ProActive Care.

干预措施: Complex care management program (Behavioral)

结局指标

主要结局

Days alive and out of hospital (DAOH) at 120 days from randomization

时间窗: 120 days after randomization

The sum of the number of days that a patient is not hospitalized under inpatient or observation status, and alive, out of a maximum of 120 days post-randomization.

次要结局

  • Days alive and out of hospital (DAOH) at 30 days from randomization(30 days after randomization)
  • Days alive and out of hospital (DAOH) at 90 days from randomization(90 days after randomization)
  • Days alive and out of hospital (DAOH) at 10 months from randomization(10 months post-randomization)
  • Total healthcare expenditures at 10 months from randomization(10 months post-randomization)
  • All-cause hospitalizations at 10 months from randomization(10 months post-randomization)
  • All-cause emergency department visits at 10 months from randomization(10 months post-randomization)
  • All-cause mortality at 10 months from randomization(10 months post-randomization)
  • Ambulator contact days(10 months post-randomization)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Richard K. Leuchter, MD

Assistant Professor

University of California, Los Angeles

研究点 (1)

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