Evidence map›Paper›PMID 36467267›Full record

ArticleEthics, medicine, and public health2023

Use of virtual meeting and survey technology to assess Covid-19-related mental well-being of healthcare workers.

M M Ross, C Sagrera, P McPherson, D Gurgel Smith, M Alfrad Nobel Bhuiyan, M S Tinsley, N E Goeders, J C Patterson, K S Murnane

Open access · greenAbstract read
In one paragraph

Article in Ethics, medicine, and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

9 authors at 1 institution in 1 country.

M M RossDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
C SagreraDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
P McPhersonDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
D Gurgel SmithLouisiana Addiction Research Center, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
M Alfrad Nobel BhuiyanDepartment of Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
M S TinsleyDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
N E GoedersDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
J C PattersonDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
K S MurnaneDepartment of Psychiatry and Behavioral Medicine, School of Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, USA.
Tulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Healthcare workers (HCWs) throughout the world have been exposed to economic and existential stress during the Covid-19 pandemic. The American Medical Association (AMA) has documented that increased healthcare burden correlates with increased stress, burnout, and psychological burden in HCWs. However, limits on personnel, time, and in person interactions make it challenging to assess mental health outcomes during a pandemic. This pilot study used virtual technology to efficiently assess these outcomes. Setting: Data were collected based on voluntary participation in the Coping with Covid-19 for Caregivers Survey created by AMA. The survey was sent out to approximately 300 participants who included local physicians, medical residents, medical students, and allied health professionals and students who attended a virtual Mental Health Summit. Methods: The AMA developed survey included questions about demographics, overall stress, fear of infection and transmission of the virus, perceived anxiety or depression due to Covid-19, work overload, childcare issues, and sense of meaning and purpose. The AMA allows for up to five additional questions to be added to their survey, therefore five questions regarding support service utilization, perseverance, and resilience during the Covid-19 pandemic, and two items to further understand students' areas of medical interest. The survey was administered using an online platform through the AMA. The data were analyzed using descriptive statistics. Results: There were 81 survey respondents. Based on the results of the survey, "high stress" was found in 52 (64%) participants. 66 (81%) were afraid (moderately or to a great extent) of exposure or transmission, 61 (75%) described high levels of anxiety or depression, and 67 (84%) noted work overload. Despite this increase in stress, most respondents (77%) said they were not likely to reduce their devoted hours to clinical care or research in the next 12 months, and 81% answered that they would not leave their practice or research within two years. Conclusion: Covid-19 has negatively affected the well-being of HCWs. This is a similar trend seen during other times of healthcare strain. Mental health support, work modulation, and various provisions should be explored as means to reduce Covid-19-related negative impacts. The use of an online summit and online data collection methods were appropriate for collecting data on the impact of the Covid-19 pandemic on mental health. This pilot study supports the larger scale implementation of this technology for health informatics research.

Indexed as

Covid-19Healthcare workersLouisianaMental healthMental wellbeing

Identifiers

PMID36467267
PMCPMC9701645
OpenAlexW4310249119

What OpenQuestion holds

Textmetadata
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Registered trials

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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.