Evidence map›Paper›PMID 38380389›Full record

ArticleJournal of clinical and translational science2023

Wellbeing Convene during COVID-19: A pilot intervention for improving wellbeing and social connectedness for staff, students, residents, and faculty.

Farah M Shroff, Darshan H Mehta

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Advancing well-being in clinical and translational science.Journal of clinical and translational science · 2024
    Article
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

2 authors.

Farah M ShroffMaternal and Infant Health Canada, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-0218-6860
Darshan H MehtaHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0003-0457-4717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Canada is facing its worst crisis among healthcare workers in recent healthcare history. Anxiety, depression, suicidal ideation, and severe burnout are higher than before the COVID-19 pandemic. University Faculties of Medicine (FoMs) are vital to healthcare systems. Not only are they responsible for training personnel, but clinicians and staff from FoMs often work directly within healthcare systems. FoMs include students, staff, residents, faculty members, residents, researchers, and others, many experiencing higher stress levels due to pandemic tensions. Most FoMs emphasize cognitive and psychomotor learning needs. On the other hand, affective learning needs are not as well addressed within most FoMs. Finding innovative means to ameliorate mental and emotional health status, particularly at this critical juncture, will improve health and wellness, productivity, and retention. This article discusses a pilot program, Results: Participants found the program beneficial in both regards. We recommend that these kinds of programs be permanently available to all members in FoMs, at no cost. Wellness programs alone, however, will not solve the root causes of mental and emotional stress, often based on concerns related to finances, hierarchical workplace structures, and nature of the work itself, among other factors. Conclusion: Addressing the mental and emotional health of people in FoMs is vital to improving productivity and reducing stress of FoMs, healthcare professionals, and, ultimately, patients.

Indexed as

burnoutFaculties of Medicinestress managementWellbeing

Identifiers

PMID38380389
PMCPMC10877516

What OpenQuestion holds

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LicenceCC BY
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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.