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Dataset Information

Women's Experiences of Symptoms of Suspected or Confirmed COVID-19 Illness During the Pandemic.


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