Digital Storytelling to Communicate COVID-19 Research Efforts
Carolyn E. Gray, Kelly Waters, Kathyrn Bizier, Brenda M. Joly

TL;DR
This paper describes how a research network used digital storytelling to share its efforts in responding to the COVID-19 pandemic over three years.
Contribution
The paper introduces digital storytelling as a novel method to communicate clinical and translational research efforts during a global health crisis.
Findings
The NNE-CTR Network reallocated funding quickly for early pandemic research.
Digital storytelling effectively highlighted 18 research projects addressing the pandemic.
The network supported lab technologies and collaborated in national research efforts.
Abstract
COVID-19 was a once-in-a-century pandemic that hit the world in March 2020. Overnight, the SARS-CoV-2 virus threatened not only survival, but also food security, social supports, transportation issues, financial constraints, and more. Timely research became crucial to understanding how to mitigate viral spread, treat patients, and address the consequences and health implications. Advancing the infrastructure to support research in northern New England has been the focus of the Northern New England Clinical and Translational Research (NNE-CTR) Network since 2017. The NNE-CTR Network is a multi-year initiative in Maine, Vermont, and New Hampshire that brings together academic institutions, health care organizations, and local community stakeholders to foster new research and address health challenges unique to the northeast region. The NNE-CTR Network was well-positioned to help address…
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Taxonomy
TopicsDigital Storytelling and Education
Problem statement
COVID-19 was a once-in-a-century pandemic that hit the world in March 2020. Overnight, the SARS-CoV-2 virus became a threat to humanity, disrupting nearly all aspects of life, including health care delivery. The need for timely and responsive research during the pandemic was crucial.^1^ However, historically, it has been challenging to quickly pivot, implement new research efforts, and share those efforts in a timely manner to promote adoption and translation to practice. ^2^
Background
The Northern New England Clinical and Translational Research (NNE-CTR) Network began in 2017 with funding from the National Institutes of Health. This multi-year initiative in Maine, Vermont, and New Hampshire brings together a network of academic institutions, health care organizations, and local community stakeholders to foster new research and address health challenges, including those unique to the northeast region.^3^ As of June 2024, a total of 795 individuals registered with the NNE-CTR Network. Registrants are largely clinicians and researchers, including early-career scientists looking to strengthen their research skills.^4^ The NNE-CTR Network supports investigators through professional development, mentorship, research navigation, translational technology services and supports, as well as pilot research funding. As of September 2023, the NNE-CTR Network has funded 40 pilot research projects that cover a range of issues. Given the aims of the NNE-CTR Network, this network was in a strong position, with experienced leadership in the administrative core, to swiftly adapt their work to help address COVID-19, not only locally, but also nationally and worldwide.
Application
The NNE-CTR Network’s Tracking and Evaluation Core (TEC) includes a group of researchers and evaluation specialists whose primary responsibility is to evaluate the initiative.^5^ The TEC assessed the NNE-CTR Network’s response to the pandemic from 2020 to 2023 using a mixed-methods approach (Table 1). Quantitative and qualitative data were gathered by systematically identifying and cataloging all COVID-19–related efforts into an inventory based on existing administrative data sources (eg, pilot award applications). Document reviews were based on COVID-19–related project reports, funding applications, publications, media events, and other products related to the research. Results from this inventory were summarized using digital storytelling to disseminate findings. Digital storytelling is an innovative evaluation tool that can be used to share evaluation findings.^6^
To compile this inventory, the TEC team reviewed all COVID-19–related pilot research projects, publications, media, and presentations supported by the NNE-CTR Network during this timeframe. The inventory recorded: (1) the category of research; (2) the topic and focus; (3) the research team, target population, and timing or status; and (4) articles, presentations, and any press or news events. Interviews were conducted with the NNE-CTR Network’s leadership about other COVID-19-specific efforts supported by the NNE-CTR Network. Decisions about which stories to include in the digital story involved inclusion criteria of having a clear NNE-CTR Network connection, a clear COVID-19 focus, and enough data available, as well as being interesting to a wide audience. Exclusion criteria included having a limited NNE-CTR Network connection and not having enough data available. The TEC, in consultation with NNE-CTR Network leadership, selected 18 of 26 research projects to highlight via digital storytelling, and 3 researchers agreed to participate in key informant interviews to highlight their innovative efforts (Table 2). Six of these projects were pilot research projects funded by the NNE-CTR Network. Quotes and video clips from the interview recordings were identified by the TEC team for inclusion in the digital story.
Assessment results
3.1.
The NNE-CTR Network’s response to COVID-19 was immediate and broad. The NNE-CTR Network responded to the pandemic by quickly reallocating funding to support early pandemic research projects; supporting innovative technologies by using the NNE-CTR Network’s existing infrastructure; contributing to national research efforts, such as the development of a national clinical data resource that can be used to study COVID-19; and conducting innovative research to rapidly tackle urgent COVID-19 issues. The NNE-CTR Network’s response included more than 20 different COVID-19 research topics, from vaccine hesitancy and ventilators to telemedicine and testing.
Using StoryMaps^7^ as a platform to show digital stories, 6 themes were identified to provide research spotlights about the 18 selected projects that show the NNE-CTR Network’s response to the pandemic. These themes included: (1) new technologies, (2) funded projects, (3) national efforts, (4) community projects, (5) rural testing, and (6) food security. This collection of digital stories can be viewed at https://arcg.is/0SCSm5.
New technologies
3.1.1.
The research highlighted in this digital story focused on the innovative technologies supported by the NNE-CTR Network to address the need for ventilators, viral variant sequencing, and mask sterilization. The number of patients with COVID-19 coupled with the limited supply of ventilators led to the development and testing of a simple, inexpensive, emergency ventilator for patients with COVID-19, called “The Vermontilator.” The Vermontilator was just as effective as a regular ventilator and was developed using a laboratory supported by the NNE-CTR Network’s Translational Research Technologies Core. As new viral variants emerged and the need for testing grew, the NNE-CTR Network’s Translational Research Technologies Core supported the development of rapid, single-step preparations of patient specimens for sequence-based determination of the virus and viral variants. In addition, the need for an automated system to sterilize N95 masks was apparent early during the COVID-19 pandemic as cases rose. An NNE-CTR Network investigator developed a portable system to inactivate viral particles on N95s, termed the UV LAVE.
Funded projects
3.1.2.
The NNE-CTR Network provided funding for 6 pilot projects that focused on a variety of pandemic-related issues. These studies largely involved multiple institutions and engaged a total of 41 researchers. The projects focused on how to communicate health information, the impacts of social distancing for vulnerable populations (eg., older adults, people who inject drugs), the impact of hospital visitation restrictions on caregivers and patients, variation in immune response to SARS-CoV-2, and vaccine hesitancy. This work was disseminated through publications, presentations, and NNE-CTR Network communications.
National efforts
3.1.3.
In keeping with the mission of clinical and translational research efforts funded by the National Institutes of Health, efforts to develop and share research tools and data were promptly initiated. The NNE-CTR Network played an active and lead role in the National COVID Cohort Collaborative (N3C).^8^ The N3C Data Enclave stores one of the largest collections of data on patients with COVID-19 and is a product of more than 75 institutions, making it the one of the largest publicly available electronic health records limited data sets in US history. This data enclave provides a centralized location for data access that can be used in research on COVID-19 and identifying potential treatments. The University of Vermont and MaineHealth (an integrated health system with Maine’s largest medical group in northern New England)^9^ are major contributors and users of the N3C Data Enclave. This centralized collection of data has helped drive leading research on the epidemiology and pathophysiology of COVID-19.
The NNE-CTR Network also played a key role in other national projects: Researching COVID to Enhance Recovery (RECOVER),^10^ Pathobiology in RECOVER of Metabolic and Immune Systems (PROMIS), and Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP).^11,12^ The RECOVER initiative is a multi-year longitudinal study of patients with long COVID. Work continues within the NNE-CTR Network to identify the underlying cause and potential treatments for this condition. For example, the PROMIS study (part of the national RECOVER initiative) is investigating the SARS-CoV-2 virus in people with long COVID. The RADx-UP research projects were part of a national effort designed to study a variety of COVID-19 testing methods and approaches. The NNE-CTR Network was selected to help lead 2 local studies in northern New England. One project focused on testing in an urban setting (highlighted in the community projects research spotlight), and the other focused on rural communities (highlighted in the rural testing research spotlight).
Community projects
3.1.4.
Locally, the NNE-CTR Network supported several projects in Maine, New Hampshire, and Vermont to learn about vaccine hesitancy, food security for prenatal women, and stress among front-line workers. Another project funded by RADx-UP focused on providing COVID-19 testing to immigrant, low-income, and unhoused populations around Portland, Maine. Another example is the Northern New England CO-OP Practice and Community Based Research Network (NNE CO-OP PCBRN), a partner of the NNE-CTR Network, that studies the factors influencing screening for food security during prenatal appointments.
Rural testing
3.1.5.
Given the rurality in Maine and Vermont, NNE-CTR Network researchers were well-positioned to explore COVID-19 testing in rural areas. Researchers received RADx-UP funding to study the factors influencing COVID-19 testing, including the barriers and communication strategies perceived as most effective. Engagement with community partners was a key element of this research.
Food security
3.1.6.
When the pandemic hit, the issue of food security became an even more complex issue. In the first month of the pandemic, an NNE-CTR Network researcher started studying the impact of COVID-19 on food access, food security, and food systems. The work led to the development of a survey instrument that was widely shared with other researchers and helped to standardize data-collection efforts. By July 2020, the research led to the engagement of 18 study sites and the formation of the National Food Access and COVID Research Team. This consortium now has 20 study sites and continues to evaluate the ongoing problem of food security due to the pandemic and how health outcomes have been impacted.
Digital storytelling
3.2.
The application of digital storytelling to showcase the NNE-CTR Network’s COVID-19 response was well regarded by NNE-CTR Network leadership, and, recently, evaluators have been called on to consider adopting this approach.^6^ The StoryMaps platform allowed evaluators to summarize and disseminate the NNE-CTR Network’s research using this innovative approach and a storytelling framework. By including first-hand accounts from researchers, pictures of their efforts, and videos and quotes reflecting on their work, the TEC was able to share the NNE-CTR Network’s response with a broad audience using a non-traditional approach. As funders and the public increasingly call for evidence and impact stories, this novel approach may garner more attention.
Conclusion
Our assessment of the NNE-CTR Network’s response to COVID-19 revealed a network that quickly pivoted to address pressing health issues through research that was timely, relevant to northern New England, and often contributed to efforts beyond the original scope. Our digital storytelling approach provided a creative method for sharing the evaluation findings beyond typical publications and reports. Through evidence of publications, presentations, and collaboration efforts, the NNE-CTR Network’s research likely contributed to understanding and addressing COVID-19–related topics locally, nationally, and worldwide. The digital stories provided a creative method for highlighting COVID-19–related research that may extend beyond the academic, clinical, and research environment.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Mc Sween-Cadieux E, Lane J, Hong QN, Production and use of rapid responses during the COVID-19 pandemic in Quebec (Canada): perspectives from evidence synthesis producers and decision makers. Health Res Policy Syst. 2024;22(1):22. doi:10.1186/s 12961-024-01105-x 38351054 PMC 10863098 · doi ↗ · pubmed ↗
- 2Morris ZS, Wooding S, Grant J. The answer is 17 years, what is the question: understanding time lags in translational research. J R Soc Med. 2011;104(12):510–520. doi:10.1258/jrsm.2011.11018022179294 PMC 3241518 · doi ↗ · pubmed ↗
- 3Northern New England Clinical and Translational Research Network. Welcome to the NNE-CTR!. University of Vermont. Accessed January 9, 2025. https://www.med.uvm.edu/nne-ctr/home
- 4Joly BM, Hopper F, Gray C. Northern New England Clinical and Translational Research Network assess the training needs of investigators. JMMC. 2020:2(1):6. doi:10.46804/2641-2225.1019 · doi ↗
- 5Northern New England Clinical and Translational Research Network. NNE-CTR Tracking and Evaluation Core. University of Vermont. Accessed January 9, 2025. https://www.med.uvm.edu/nne-ctr/cores/TEC
- 6Joly BM. Using digital storytelling as an evaluation tool [published online ahead of print August 27, 2024]. Health Promot Pract. 2024. doi:10.1177/15248399241275634 PMC 1186535339188161 · doi ↗ · pubmed ↗
- 7Story Maps. ESRI. Accessed December 3, 2024. https://storymaps.com
- 8Haendel MA, Chute CG, Bennett TD, The National COVID Cohort Collaborative (N 3C): rationale, design, infrastructure, and deployment. J Am Med Inform Assoc. 2021;28(3):427–443. doi:10.1093/jamia/ocaa 19632805036 PMC 7454687 · doi ↗ · pubmed ↗
