TY  - JOUR
AU  - Janvrin, Miranda Lynn
AU  - Korona-Bailey, Jessica
AU  - Koehlmoos, Tracey Pérez
PY  - 2021
DA  - 2021/12/6
TI  - Re-examining COVID-19 Self-Reported Symptom Tracking Programs in the United States: Updated Framework Synthesis
JO  - JMIR Form Res
SP  - e31271
VL  - 5
IS  - 12
KW  - COVID-19
KW  - coronavirus
KW  - framework analysis
KW  - information resources
KW  - monitoring
KW  - patient-reported outcome measures
KW  - self-reported
KW  - surveillance
KW  - symptom tracking
KW  - synthesis
KW  - digital health
AB  - Background: Early in the pandemic, in 2020, Koehlmoos et al completed a framework synthesis of currently available self-reported symptom tracking programs for COVID-19. This framework described relevant programs, partners and affiliates, funding, responses, platform, and intended audience, among other considerations. Objective: This study seeks to update the existing framework with the aim of identifying developments in the landscape and highlighting how programs have adapted to changes in pandemic response. Methods: Our team developed a framework to collate information on current COVID-19 self-reported symptom tracking programs using the “best-fit” framework synthesis approach. All programs from the previous study were included to document changes. New programs were discovered using a Google search for target keywords. The time frame for the search for programs ranged from March 1, 2021, to May 6, 2021. Results: We screened 33 programs, of which 8 were included in our final framework synthesis. We identified multiple common data elements, including demographic information such as race, age, gender, and affiliation (all were associated with universities, medical schools, or schools of public health). Dissimilarities included questions regarding vaccination status, vaccine hesitancy, adherence to social distancing, COVID-19 testing, and mental health. Conclusions: At this time, the future of self-reported symptom tracking for COVID-19 is unclear. Some sources have speculated that COVID-19 may become a yearly occurrence much like the flu, and if so, the data that these programs generate is still valuable. However, it is unclear whether the public will maintain the same level of interest in reporting their symptoms on a regular basis if the prevalence of COVID-19 becomes more common. 
SN  - 2561-326X
UR  - https://formative.jmir.org/2021/12/e31271
UR  - https://doi.org/10.2196/31271
UR  - http://www.ncbi.nlm.nih.gov/pubmed/34792469
DO  - 10.2196/31271
ID  - info:doi/10.2196/31271
ER  -