Patient Portal Flu Vaccine Reminders_RCT 4
Stopped early · Not applicable
Conditions studied: Influenza, Respiratory Tract Infections
In brief
This trial is taking place in Los Angeles, CA at clinics within the UCLA Health System. The study design is a 2x2 nested factorial design. Patients will be randomized into 1) receiving text based reminder messages, 2) portal-based reminder messages or 3) the control group. Patients randomized to the intervention arms will receive reminders if they are due for influenza vaccine. Nested within the reminder arms (text or portal), we will have 2 additional components for which patients will be randomized separately: * 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-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) Despite the Advisory Committee on Immunization Practices (ACIP) recommendation in 2010 that all people above 6 months of age should receive an annual flu vaccine, vaccination rates remain low: at 6m-4.9 yrs. (70%), 5-17.9 yrs. (56%), 18-64.9 yrs. (38%), and \>65 yrs. (63%). The investigators will assess the effectiveness of MyChart R/R messages and text R/R messages as compared to the standard of care control (no messages).
Key facts
- Study ID
- NCT05052190
- Run by
- University of California, Los Angeles
- People needed
- 239567
- Starts
- 2021-10-14
- Expected to finish
- 2022-04-01
- Last updated by the study team
- 2025-04-11
Who can join
Age: 1 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Active Portal Users A patient within the UCLA Health System identified as a primary care patient per an internal algorithm
You may not qualify if…
- A patient within the UCLA Health System not identified as a primary care patient per an internal algorithm
Where it is running
- University of California LA — Los Angeles, California, United States
Full record on ClinicalTrials.gov
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