Evidence map›Paper›PMID 35548937›Full record

ArticlePalliative medicine2022

Moral distress amongst palliative care doctors working during the COVID-19 pandemic: A narrative-focussed interview study.

Ellis C Fish, Anna Lloyd

Abstract read
In one paragraph

Article in Palliative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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.

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Ellis C FishCollege of Medicine & Veterinary Medicine, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-5611-3766
Anna LloydSt Columba's Hospice, Education and Research, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPalliative care professionals have had to adapt to rapidly changing COVID-19 restrictions with personal protective equipment and physical distancing measures impacting face-to-face communication with patients and relatives.

aimTo explore the narratives of palliative care doctors working during the pandemic to understand their experiences at a personal and professional level.

designIn-depth narrative interviews were carried out via video call. Interviews were transcribed verbatim and analysed using a joint paradigmatic and narrative approach to elucidate common themes and closely explore individual narratives. SETTING/

participantsEight palliative care doctors who had worked on a hospice inpatient unit in the UK before and during the pandemic were recruited from two hospices in Scotland.

resultsThree intersecting themes are described, the most significant being moral distress. Participants articulated a struggle to reconcile their moral convictions with the restrictions enforced, for example, wanting to provide support to patients through physical proximity but being unable to. To differing degrees, this resulted in internal conflict and emotional distress. Two further themes arose: the first concerned a loss of humanity in interaction and a striving to re-humanise communication through alternative means; the second being a change in staff morale as the pandemic progressed.

conclusionsRestrictions had a considerable impact on palliative care doctors' ability to communicate with and comfort patients which led to moral distress and contributed to decreasing morale. Future research could explore moral distress in palliative care settings internationally during the pandemic with a view to compare the factors affecting how moral distress was experienced.

Indexed as

COVID-19HumansMoralsPalliative CarePandemicsQualitative ResearchcommunicationCOVID-19hospice caremoral distress

Identifiers

PMID35548937
PMCPMC9174577

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LicenceCC BY-NC
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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.