# Mobile Health–Based Motivational Interviewing to Promote SARS-CoV-2 Vaccination in Rural Adults: Protocol for a Pilot Randomized Controlled Trial

**Authors:** Ashlea Braun, Sarah Corcoran, Khue Tu Doan, Cameron Jernigan, Cate Moriasi, Michael Businelle, Thanh Bui

PMC · DOI: 10.2196/64010 · JMIR Research Protocols · 2025-04-28

## TL;DR

This study tests a mobile health-based motivational interviewing approach to reduce SARS-CoV-2 vaccine hesitancy among rural adults.

## Contribution

The study introduces a novel mHealth-based motivational interviewing intervention tailored for rural populations to address vaccine hesitancy.

## Key findings

- The study will assess the feasibility and acceptability of mHealth-based motivational interviewing for vaccine hesitancy.
- It compares traditional motivational interviewing with an intensive and mHealth-based version to determine effectiveness.
- Results will provide insights into scalable strategies for reducing vaccine hesitancy in underserved rural communities.

## Abstract

Despite documented effectiveness, the public health impact of vaccinations is severely limited by misperceptions, hesitancy, and poor acceptance. Messaging from health care providers has not yet been optimized to overcome these barriers and has not been tailored to groups that face health disparities, such as rural Americans. Because vaccines have become controversial, as illustrated by the public response to the SARS-CoV-2 vaccines, traditional approaches that use persuasive education or advice to change perspectives are unlikely to have long-term effects and may even be counterproductive. Alternatively, motivational interviewing (MI) is a conversational approach to address modifiable behavior and its empathic nature can be useful when navigating challenging topics. Although MI has been found to be efficacious in improving vaccination rates among children and adolescents, it is unknown whether MI can reduce vaccine hesitancy and health disparities among underserved rural adults. Further, the ideal mode of delivery for MI is unknown, especially “dose,” “intensity,” and integration with mobile health (mHealth). Therefore, it is essential to investigate the efficacy of MI in promoting vaccine uptake in rural populations to reduce health disparities.

This study aims to develop and evaluate the feasibility, acceptability, and preliminary efficacy of our mHealth-based MI intervention to diminish SARS-CoV-2 vaccine hesitancy (MOTIVACC).

This pilot study uses mixed methods. A 2-phase study will be conducted: convening a community advisory panel to understand barriers and facilitators to vaccination and mHealth uptake among adults (phase 1, n=16-20), and a pilot 3-group single-blind randomized controlled trial (RCT) for 8 weeks (phase 2, N=60). In the RCT, we recruit adults who have received no previous dose of the COVID-19 vaccine and randomize them into one of three arms: standard MI (SMI; n=20), intensive MI (IMI; n=20), or mHealth-based MOTIVACC (n=20). The primary RCT outcomes are positive change in vaccine hesitancy and intention to obtain the vaccines, measured on Likert scales. The secondary RCT outcome is the actual vaccine receipt.

Phase 1 of this study was approved by the ethics committees of both the University of Oklahoma and Oklahoma State University in July 2022, and was completed in June 2023. Phase 2 of this study was approved by the ethics committee at the University of Oklahoma in April 2024.

This randomized trial will evaluate the preliminary efficacy of MI for targeting SARS-CoV-2 vaccine hesitancy, as well as compare traditional MI versus mHealth-based MI. This will provide pivotal data on scalable strategies to assist in navigating vaccine hesitancy, including in rural populations.

ClinicalTrials.gov NCT05977192; https://clinicaltrials.gov/study/NCT05977192

DERR1-10.2196/64010

## Linked entities

- **Diseases:** SARS-CoV-2 (MONDO:0100096)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

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## Figures

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## References

55 references — full list in the complete paper: https://tomesphere.com/paper/PMC12070004/full.md

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Source: https://tomesphere.com/paper/PMC12070004