Evidence map›Paper›PMID 34623957›Full record

ArticleJMIR formative research2021

Nursing Perspectives on the Impacts of COVID-19: Social Media Content Analysis.

Ainat Koren, Mohammad Arif Ul Alam, Sravani Koneru, Alexa DeVito, Lisa Abdallah, Benyuan Liu

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 45 citations in OpenAlex.

  1. COVID-19 Impact on Veterans Health Administration Nurses: A Retrospective Survey.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
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  8. Psychosocial Risks among Quebec Healthcare Workers during the COVID-19 Pandemic: A Social Media Analysis.International journal of environmental research and public health · 2023
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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 at 1 institution in 1 country.

Ainat Koren *Solomont School of Nursing, University of Massachusetts Lowell, Lowell, MA, United States.ORCID https://orcid.org/0000-0001-9072-9943
Mohammad Arif Ul Alam *Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States.ORCID https://orcid.org/0000-0002-2240-0916
Sravani KoneruDepartment of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States.ORCID https://orcid.org/0000-0002-3410-9341
Alexa DeVitoSolomont School of Nursing, University of Massachusetts Lowell, Lowell, MA, United States.ORCID https://orcid.org/0000-0003-2087-8278
Lisa AbdallahSolomont School of Nursing, University of Massachusetts Lowell, Lowell, MA, United States.ORCID https://orcid.org/0000-0001-7708-7464
Benyuan LiuDepartment of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States.ORCID https://orcid.org/0000-0001-5879-4702
University of Massachusetts Lowell · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses are at the forefront of the COVID-19 pandemic. During the pandemic, nurses have faced an elevated risk of exposure and have experienced the hazards related to a novel virus. While being heralded as lifesaving heroes on the front lines of the pandemic, nurses have experienced more physical, mental, and psychosocial problems as a consequence of the COVID-19 outbreak. Social media discussions by nursing professionals participating in publicly formed Facebook groups constitute a valuable resource that offers longitudinal insights.

objectiveThis study aimed to explore how COVID-19 impacted nurses through capturing public sentiments expressed by nurses on a social media discussion platform and how these sentiments changed over time.

methodsWe collected over 110,993 Facebook discussion posts and comments in an open COVID-19 group for nurses from March 2020 until the end of November 2020. Scraping of deidentified offline HTML tags on social media posts and comments was performed. Using subject-matter expert opinions and social media analytics (ie, topic modeling, information retrieval, and sentiment analysis), we performed a human-in-a-loop analysis of nursing professionals' key perspectives to identify trends of the COVID-19 impact among at-risk nursing communities. We further investigated the key insights of the trends of the nursing professionals' perspectives by detecting temporal changes of comments related to emotional effects, feelings of frustration, impacts of isolation, shortage of safety equipment, and frequency of safety equipment uses. Anonymous quotes were highlighted to add context to the data.

resultsWe determined that COVID-19 impacted nurses' physical, mental, and psychosocial health as expressed in the form of emotional distress, anger, anxiety, frustration, loneliness, and isolation. Major topics discussed by nurses were related to work during a pandemic, misinformation spread by the media, improper personal protective equipment (PPE), PPE side effects, the effects of testing positive for COVID-19, and lost days of work related to illness.

conclusionsPublic Facebook nursing groups are venues for nurses to express their experiences, opinions, and concerns and can offer researchers an important insight into understanding the COVID-19 impact on health care workers.

Indexed as

coronavirusCOVID-19health care workersimpactinformation retrievalmental healthnursesnursingpandemicsocial media analytics

Identifiers

PMID34623957
PMCPMC8668023
OpenAlexW3204341106

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.