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N/A Completed N=3,671 Randomized Single-blind Health Services Research

Use of Construal Level Theory to Inform Messaging to Increase Vaccination Against COVID-19

Covid19 · Vaccine Refusal
Source: ClinicalTrials.gov NCT04871776 ↗
Enrolled (actual)
3,671
Serious AEs
0.0%
Results posted
Jan 2024
Primary outcomePrimary: Number of Participants Who Received a Booster Vaccination Through the Targeted Visit — 164; 146; 166 Participants

Summary

This study aims to increase uptake of the COVID booster vaccine through messaging informed by Construal Level Theory. Patients in the Mass General Brigham (MGB) health system aged 18 and older who are eligible for the COVID booster vaccine, but who have not yet received a dose at the time of an upcoming primary care clinic visit, will be randomized to one of three messaging arms: 1) "why" messaging, 2) "how" messaging, or 3) standard of care ("usual care"). Messages will be sent via the electronic patient portal a few days in advance of their office visit. The primary outcome will be the rate of booster vaccination at the targeted visit. The secondary outcome will be the rate of receipt of a COVID booster vaccine within 6 weeks of the targeted visit. Subgroup analyses to assess for any association of patient characteristics with intervention responsiveness will be exploratory.

Outcome Measures

OutcomeResultp-value
PRIMARY
Number of Participants Who Received a Booster Vaccination Through the Targeted Visit
164; 146; 166
SECONDARY
Number of Participants Who Received a Booster Vaccination Within 6 Weeks of the Targeted Visit
264; 231; 265

Eligibility Criteria

Inclusion Criteria

  • Patients in the Mass General Brigham system
  • Aged 18 and older
  • Are eligible for the COVID booster vaccine but have not received a dose at time of upcoming primary care clinic visit

Exclusion Criteria

  • Documented allergy to a COVID vaccine or its components
  • Home address outside of Massachusetts
  • Did not receive full set of primary COVID-19 vaccination series
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT04871776). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication. Informational only — not medical advice.

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