Evidence map›Paper›PMID 38580364›Full record

ArticleBMJ open2024

Self-compassion letter tool for healthcare worker well-being: a qualitative descriptive analysis.

Melissa Powell, Bryan Sexton, Kathryn C Adair

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Melissa PowellSchool of Nursing, Duke University, Durham, North Carolina, USA map133@duke.edu.ORCID 0000-0002-7058-0085
Bryan SextonDuke Center for the Advancement of Well-Being Science, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-0578-2924
Kathryn C AdairDuke Center for the Advancement of Well-Being Science, Duke University, Durham, North Carolina, USA.ORCID 0000-0003-4886-0002
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis qualitative study aimed to identify categories within therapeutic self-compassion letters written by healthcare workers. Resulting categories were assessed for their relevance to the construct of self-compassion.

designThis was a qualitative descriptive study that used summative content analysis and inductive coding.

settingA US-based academic healthcare system.

participantsHealthcare workers who attended a self-compassion webinar were recruited.

interventionThe online self-compassion tool asked participants to write a letter to themselves from the perspective of a friend providing support and encouragement.

results116 letters were analysed. Five major categories emerged: Looking Forward, Reaffirming Self, Reaffirming Reminders, Hardships and Self-Disparagement. Respondents' letters were mostly positively framed and forward thinking, including their hopes of improving themselves and their lives in the future. Negative content generally described hardships and often served to provide self-validation or perspective on obstacles that had been overcome.

conclusionThe writing prompt elicited content from the writers that reflected the core elements of self-compassion (ie, self-kindness, common humanity, mindfulness). Continued research to further understand, refine and improve the impact of therapeutic letter writing to enhance well-being is warranted to reduce burnout and promote quality patient care.

Indexed as

Burnout, ProfessionalMindfulnessEmpathyHealth PersonnelHumansSelf-CompassionMENTAL HEALTHNursesQUALITATIVE RESEARCH

Identifiers

PMID38580364
PMCPMC11002434
OpenAlexW4394762401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.