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临床试验/NCT05509270
NCT05509270已完成不适用

Assessing the Relative Efficacy of Communication Modalities for Messages Promoting Flu Shots

Geisinger Clinic2 个研究点 分布在 1 个国家目标入组 43,225 人开始时间: 2022年9月6日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
43,225
试验地点
2
主要终点
Flu vaccination

研究概览

简要总结

The purpose of this study is to test which modalities (mailed letter, short message service [SMS] text, or patient portal messages) are most effective for encouraging flu shots in high-risk patients.

详细描述

The Centers for Disease Control (CDC) recommends a flu vaccination to everyone aged 6+ months, with rare exception; almost anyone can benefit from the vaccine, which can reduce illnesses, missed work, hospitalizations, and death. Flu shots are particularly important for patients at high risk of experiencing severe outcomes.

During the 2020-21 and 2021-22 flu seasons, the study team sent messages to Geisinger patients in the top 10% of risk for flu and complications according to an artificial intelligence algorithm. Messages that told patients they were at high risk significantly increased their likelihood of getting vaccinated.

The present study will extend previous work by testing which modality or modalities are most effective at boosting flu shot rates in patients at high risk. In previous campaigns, patients received messages via all communication modalities patients were eligible for (mailed letter, SMS text, and/or patient portal message). In this study, patients will be randomized to receive high-risk messages in one or more modalities.

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
Single (Care Provider)

盲法说明

Providers who prescribe vaccination and diagnose conditions will not be randomized to study arms or informed of patient assignment. Although patients will not be explicitly informed which arm they have been randomized to, they will be aware of the messages they receive.

入排标准

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

入选标准

  • Included on a list of active Geisinger patients (all patients on this list attended at least one primary care appointment at Geisinger between 10/1/2008 and 4/13/2022, and either had a Geisinger primary care provider assigned as of April 2022, or were in the Electronic Health Record [EHR] since at least September 2021 and had at least one encounter in 2020-2022)
  • Aged 18 or older
  • In the top 10% of risk for flu and flu complications, according to Medial's flu complications machine learning algorithm (which operates on coded EHR data)
  • Has a Geisinger PCP assigned as of August 2022
  • Has had an encounter in the last 2 years as of August 2022

排除标准

  • Cannot be contacted via any of the communication modalities (e.g., letter, patient portal, SMS) being used in the study, either due to insufficient/missing contact information in the EHR or because they opted out of all modalities

结局指标

主要结局

Flu vaccination

时间窗: 4 weeks after the first messages are sent in the study

Flu vaccination within 4 weeks of the first message send date

次要结局

未报告次要终点

研究者

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

Christopher F Chabris, PhD

Professor

Geisinger Clinic

研究点 (2)

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