Evidence map›Paper›PMID 40225645›Full record

ArticleJournal of nursing management2023

What Healthcare Workers Told Us about Working through the COVID-19 Pandemic: A Qualitative Analysis of Digital Audio Stories.

Claudia Grobbel, Lori Lackman Zeman, Ramin Homayouni, Sujoy Roy, Floyd E Kenney, Elie Mulhem

Abstract read
In one paragraph

Article in Journal of nursing management, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Claudia GrobbelSchool of Nursing, Oakland University, Rochester, MI, USA.ORCID 0000-0001-7417-946X
Lori Lackman ZemanDepartment of Family Medicine, Beaumont Health, Troy, MI, USA.ORCID 0000-0002-7214-5802
Ramin HomayouniDepartment of Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.ORCID 0000-0003-0186-5076
Sujoy RoyDepartment of Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
Floyd E KenneyOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Elie MulhemDepartment of Family Medicine, Beaumont Health, Troy, MI, USA.ORCID 0000-0003-0194-2203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The purpose of this article is to share the qualitative results of digital stories from 21 healthcare workers during the second wave of the pandemic and compare them with stories analyzed during the first wave. Background: Everyone has personal COVID-19 experiences and memories. Yet, the literature is lacking in how the stories from the healthcare team during the pandemic affected the individual healthcare worker at that time. Methods: A descriptive qualitative study analyzing digital stories was conducted during the second wave of the pandemic of a large Midwest healthcare system. Results: Twenty-one audio stories were analyzed. Four themes revealed were negative emotional response/impact, feelings/statements of optimism and hope, imposed or changing role expectations, and leadership/administration concerns. These themes aligned with the first wave analysis. Conclusions: Healthcare workers during COVID-19 experienced profound upheaval in their usual daily rhythm. This study revealed that there was a paradox of experiences consistently shared through their own stories including perceptions healthcare workers had of their leadership and the perceived system failure.

Indexed as

COVID-19Health PersonnelNarrationAdultFemaleHumansLeadershipMaleMiddle AgedPandemicsQualitative ResearchSARS-CoV-2

Identifiers

PMID40225645
PMCPMC11918562

What OpenQuestion holds

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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.