Ontology highlight
ABSTRACT: Objective
To explore experiences of symptoms of suspected or confirmed COVID-19 illness among women using the CovidWatcher mobile citizen science app.Design
Convergent parallel mixed-methods design.Participants
Twenty-eight self-identified women consented for follow-up after using CovidWatcher. Participants' ages ranged from 18 to 83 years old.Methods
We collected data via semistructured, virtual interviews and surveys: the COVID-19 Exposure and Family Impact Survey and Patient-Reported Outcomes Measurement Information System measures. We used directed content analysis to develop codes, categories, themes, and subthemes from the qualitative data and summarized survey data with descriptive statistics.Results
We derived five themes related to symptom e
SUBMITTER: South K
PROVIDER: S-EPMC9575040 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature