Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Aug 11, 2022)

Date Submitted: Nov 23, 2021
Open Peer Review Period: Nov 22, 2021 - Jan 17, 2022
(closed for review but you can still tweet)

NOTE: This is an unreviewed Preprint

Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).

Peer review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.

Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).

Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.

Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.

Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Leveraging Mobile Technology and Trusted Community Partners to Address Racial Disparities in COVID-19 Vaccinations: Evaluation of Multichannel Digital Communication

  • Monique Antoinette Smith; 
  • Matthew Donaven McCurdy; 
  • Nicole M Franks; 
  • Sara Yelpaala; 
  • Jared Dakota Dawson; 
  • Uma Agrawal

ABSTRACT

Background:

Innovative and strategic interventions are needed to address COVID-19 vaccine hesitancy among communities which have been the most heavily impacted by the pandemic. Digital interventions are a critical component of strategies to promote healthy behaviors among target populations. Furthermore, given that the communities most vulnerable to COVID-19 experience mistrust toward health care systems, health promotion programs must consider the trustworthiness of the messenger in reaching target populations. This campaign utilized digital messaging strategies and trusted community partners to inform vulnerable populations about COVID-19 prevention, vaccinations, and other social services.

Objective:

This paper assesses the reach and impact of the COVID-19 messaging campaign which aimed to provide vital health information about COVID-19 prevention and vaccination to Black and Latino members of the Metro-Atlanta community by using multichannel communications through trusted community partners.

Methods:

Emory’s Collaborative Community Outreach and Health Disparities Group (ECCOHD) established a “connected community of care” model to disseminate health messages, resources, and linkages through trusted networks. Utilizing multichannel communications through SMS, social media, and flyers, the messaging campaign began to reach our target population in July 2020 and continued to do so until July 2021.

Results:

From the beginning of the campaign in July 2020 to its end in July 2021, the Metro-Atlanta COVID-19 messaging campaign sent out 2.4 million messages to 142 000 unique individuals. These messages received nearly 97, 000 click throughs and reached females 18-39y more than any other demographic. “High-risk” zip codes in DeKalb County were the highest reach zip codes. Regarding social media outreach, the campaign’s posts received more than 1.3 million impressions through ESSENCE Media’s Instagram and Facebook accounts, which have a reach of nearly 100, 000 followers. Furthermore, in the five zip codes that the messaging campaign reached the most, an average decrease in vaccine hesitancy of 9.92% was recorded from the beginning to the end of the campaign.

Conclusions:

Leveraging a network of messaging partners who have long-standing relationships with underserved communities was key in establishing trust with these community members and motivating them to action. Additionally, utilizing data from the COVID Community Needs Index (CCNI) as well as the COVID Community Vulnerability Index (CCVI) proved to be a vital tool for identifying zip codes with greater need and informing our campaign strategy. Additionally, mobile technology allowed for our customized messaging to reach hundreds of thousands of individuals and make millions of impressions on social media among communities with high vaccine hesitancy, such as Back and Latinx Americans.


 Citation

Please cite as:

Smith MA, McCurdy MD, Franks NM, Yelpaala S, Dawson JD, Agrawal U

Leveraging Mobile Technology and Trusted Community Partners to Address Racial Disparities in COVID-19 Vaccinations: Evaluation of Multichannel Digital Communication

JMIR Preprints. 23/11/2021:35136

DOI: 10.2196/preprints.35136

URL: https://preprints.jmir.org/preprint/35136

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.