Evidence map›Paper›PMID 36265561›Full record

ArticleNursing for women's health2022

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

Katherine South, Suzanne Bakken, Theresa Koleck, Veronica Barcelona, Noemie Elhadad, Caitlin Dreisbach

Open access · greenAbstract read
In one paragraph

Article in Nursing for women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Advancing Data Science Competencies for Nursing PhD Students.Studies in health technology and informatics · 2024
    Article
  2. Citizen Science Studies in Nursing: A Systematic Review.Nursing reports (Pavia, Italy) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katherine South
Suzanne Bakken
Theresa Koleck
Veronica Barcelona
Noemie Elhadad
Caitlin Dreisbach

Funding

Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
PhendoPHL:A Data-Science Enabled Personal Health Library to Manage EndometriosisR01LM013043 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELHADAD, NOEMIE · 2019 to 2022
$1.4M
NINR NIH HHS P30 NR016587NLM NIH HHS R01 LM013043
6 · The paper itself

Abstract

objectiveTo explore experiences of symptoms of suspected or confirmed COVID-19 illness among women using the CovidWatcher mobile citizen science app.

designConvergent parallel mixed-methods design.

participantsTwenty-eight self-identified women consented for follow-up after using CovidWatcher. Participants' ages ranged from 18 to 83 years old.

methodsWe 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.

resultsWe derived five themes related to symptom experiences: (a) Physical Symptoms, (b) Mental Health Symptoms, (c) Symptom Intensity, (d) Symptom Burden, and (e) Symptom Trajectories. Subthemes reflected more nuanced experiences of suspected or confirmed COVID-19 disease. For those without COVID-19, anxiety and mental health symptoms were still present. Of those who attested to one of the PROMIS-measured symptoms, all but one had at least mild severity in one of their reported symptoms.

conclusionThis study demonstrates the cross-cutting impact of the COVID-19 pandemic on individuals who identify as women. Future research and clinical practice guidelines should focus on alleviating physical and mental health symptoms related to the ongoing pandemic, regardless of COVID-19 diagnosis. Furthermore, clinicians should consider how patients can use symptom reconciliation apps and tracking systems.

Indexed as

COVID-19PandemicsAdolescentAdultAgedAged, 80 and overAnxietyCOVID-19 TestingFemaleHumansMiddle AgedSARS-CoV-2Young AdultanxietyCOVID-19CovidWatcherfatiguemental healthnovel coronaviruspandemicSARS-CoV-2symptomswomen’s health

Identifiers

PMID36265561
PMCPMC9575040
OpenAlexW4306410358

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.