跳至主要内容
临床试验/NCT04533685
NCT04533685已完成不适用

Patient Portal Reminder/Recall for Influenza Vaccination in a Health System- RCT 3

University of California, Los Angeles2 个研究点 分布在 1 个国家目标入组 213,773 人开始时间: 2020年9月1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
213,773
试验地点
2
主要终点
Number of Index Patients Who Received Annual Influenza Vaccine

研究概览

简要总结

This trial is taking place in Los Angeles, CA among patients from primary care practices within the UCLA Health System.

The study design is a 2x2x2 factorial design, nested in a parallel 2-arm trial. The parallel arms are control v. reminder letter (reminder messages sent via the patient portal, reminding participants of an overdue influenza vaccine)

Nested within the reminder letter arm, we will have 3 additional components:

  • A direct scheduling link within the reminder letter enabling the patient to schedule an influenza vaccine only visit (direct scheduling link vs. no direct scheduling link).
  • A pre-commitment prompt (pre-commitment prompt vs. no prompt) asking about a patient's intention to get the influenza vaccination
  • A pre-appointment reminder, encouraging patients to ask for their influenza vaccine at their upcoming appointment (pre-appointment reminder encouraging influenza vaccination vs. standard pre-appointment reminder not mentioning influenza vaccination)

详细描述

This trial is taking place in Los Angeles, CA among patients from primary care practices within the UCLA Health System, using 2x2x2 factorial design, nested in a parallel 2-arm trial.

Sub-optimal vaccination rates are a significant problem in the U.S., despite their effectiveness in preventing morbidity and mortality from vaccine-preventable illness. For influenza specifically, annual epidemics of influenza cause substantial morbidity in the U.S. with up to 40,00-80,000 deaths/year and many hospitalizations, emergency and outpatient visits, and significant costs.

Reminder/recall (R/R) messages, sent by phone, mail or other modality, can improve child and adult influenza vaccination rates. However, the majority of pediatric or adult primary care practices to not conduct R/R. Barriers are lack of finances, personnel, and algorithms to identify eligible patients.

A technological breakthrough that might overcome these barriers involves patient portals-- secure, web-based communication systems, embedded within electronic health records (EHRs), for patients and providers to communicate with each other via email and the internet. Portals are used by about half of Americans and half of UCLA patients.

This randomized controlled trial will assess the effectiveness of reminders messages, encouraging influenza vaccination, sent to patient portal users on increasing influenza vaccination rates within a health system by randomizing patients to two groups: 1) two-thirds of patients will receive reminder letters, 2) one-third will not receive reminders.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Factorial
主要目的
Health Services Research
盲法
Single (Participant)

入排标准

年龄范围
4 Months 至 —(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • A patient within the UCLA Health System identified as a primary care patient per an internal algorithm.

排除标准

  • A patient within the UCLA Health System not identified as a primary care patient per an internal algorithm

结局指标

主要结局

Number of Index Patients Who Received Annual Influenza Vaccine

时间窗: 6 months

Receipt of the annual influenza vaccination (between 8/1/20 - 4/1/21) among index patients. Outcomes will be assessed via vaccine data extraction from the electronic health record and external claims and pharmacy data. The index patients must also be an active UCLA Health MyChart user (\>= 1 login over the last 12 months from 8/1/20, excluding activity on the user's initial profile activation date). Individuals not affiliated with any primary care practice will be excluded from the primary analysis.

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

Peter G Szilagyi, MD MPH

Professor of Pediatrics

University of California, Los Angeles

研究点 (2)

Loading locations...

相似试验