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Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

ABSTRACT: Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies. Its members collected and discussed available information and summarized it in a series of reports. Results: The Task Force identified technologies that could be deployed in response to the COVID-19 pandemic and would likely be suitable for future pandemics. Criteria for their evaluation were agreed upon and applied to these systems. Conclusions: mHealth technologies are viable options to monitor COVID-19 patients and be used to predict symptom escalation for earlier intervention. These technologies could also be utilized to monitor individuals who are presumed non-infected and enable prediction of exposure to SARS-CoV-2, thus facilitating the prioritization of diagnostic testing.

SUBMITTER: Adans-Dester CP

PROVIDER: S-EPMC8023427 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Adans-Dester Catherine P CP Bamberg Stacy S Bertacchi Francesco P FP Caulfield Brian B Chappie Kara K Demarchi Danilo D Erb M Kelley MK Estrada Juan J Fabara Eric E EE Freni Michael M Friedl Karl E KE Ghaffari Roozbeh R Gill Geoffrey G Greenberg Mark S MS Hoyt Reed W RW Jovanov Emil E Kanzler Christoph M CM Katabi Dina D Kernan Meredith M Kigin Colleen C Lee Sunghoon I SI Leonhardt Steffen S Lovell Nigel H NH Mantilla Jose J McCoy Thomas H TH Luo Nell Meosky NM Miller Glenn A GA Moore John J O'Keeffe Derek D Palmer Jeffrey J Parisi Federico F Patel Shyamal S Po Jack J Pugliese Benito L BL Quatieri Thomas T Rahman Tauhidur T Ramasarma Nathan N Rogers John A JA Ruiz-Esparza Guillermo U GU Sapienza Stefano S Schiurring Gregory G Schwamm Lee L Shafiee Hadi H Kelly Silacci Sara S Sims Nathaniel M NM Talkar Tanya T Tharion William J WJ Toombs James A JA Uschnig Christopher C Vergara-Diaz Gloria P GP Wacnik Paul P Wang May D MD Welch James J Williamson Lina L Zafonte Ross R Zai Adrian A Zhang Yuan-Ting YT Tearney Guillermo J GJ Ahmad Rushdy R Walt David R DR Bonato Paolo P

IEEE open journal of engineering in medicine and biology 20200807

Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies. Its members collected and discussed available information and summarized it in a series of reports. Results: The Tas ...[more]

PMID: 34192282

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Project description:BackgroundCOVID-19 remains an ongoing public health crisis. Black Americans remain underrepresented among those vaccinated and overrepresented in both COVID-19 morbidity and mortality. Medical misinformation, specifically related to COVID-19, has exacerbated the impact of the disease in Black American communities. Communication tools and strategies to build relationships and disseminate credible and trustworthy diagnostic and preventative health information are necessary to improve outcomes and equity for historically oppressed populations.ObjectiveAs the initial phase of a larger mixed methods project to develop, pilot, and evaluate a mobile health (mHealth) intervention among a population at high risk for COVID-19 and cardiovascular comorbidities, this study sought to explore COVID-19 information behavior among Black Americans. Specifically, this study examined (1) preferences for COVID-19 education via mHealth, (2) barriers and facilitators to COVID-19 education and diagnostic testing and routine care for associated cardiovascular and respiratory comorbidities in the local community, and (3) key content for inclusion in a COVID-19 mHealth app.MethodsThis qualitative study used principles of community-based participatory research and information systems research to conduct 7 focus groups across 3 sites. Focus groups were audio recorded and transcribed for thematic analysis using an abductive approach.ResultsThe study sample included 54 individuals across sites with a mean age of 50.24 (SD 11.76; range 20-71) years. Participants were primarily female (n=42, 78%) and Black (n=54, 100%) with varied education levels. Over half (n=29, 54%) of the participants were employed full-time, and nearly three-fourths (n=40, 74%) had household incomes <US $65,000. Participants used both Android (n=23, 43%) and iOS devices (n=29, 54%) and were "very comfortable" (n=37, 69%) using their mobile devices. Participants reported using a variety of sources for health information. Content-related preferences reported focus on visual presentation, user-friendly design, and privacy and highlighted the importance of community relevance, access, and community-specific content. Key barriers identified included health literacy-limiting app use, access to technology and information, and lack of trust. Increasing community relevance through community-specific messaging and the inclusion of Black providers were noted as facilitators that may increase credibility and trust. Key content identified included user-specific information such as where to get vaccines and tests, updated local COVID-19 data, travel protocols, information about long COVID-19 (post COVID-19 condition), comorbidities, frequently asked questions, and testimonials or personal stories.ConclusionsIncreasing transparency and building trust are 2 key strategies that may improve the impact of health information messaging in Black communities. Focusing on content over context fails in the provision of critical health information and perpetuates health inequities by reinforcing systemic and structural racism. COVID-19 messaging must consider contextual information, patient needs and preferences, and patient information-seeking and information-search behaviors to establish trust and credibility, positively impact patient health outcomes, and improve health equity.

Dataset Information

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Publications

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

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