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

Loading...
Thumbnail Image

Date

2024-04

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

0
views
21
downloads

Citation Stats

Abstract

Objective

This 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.

Design

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

Setting

A US-based academic healthcare system.

Participants

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

Intervention

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

Results

116 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.

Conclusion

The 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.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1136/bmjopen-2023-078784

Publication Info

Powell, Melissa, Bryan Sexton and Kathryn C Adair (2024). Self-compassion letter tool for healthcare worker well-being: a qualitative descriptive analysis. BMJ open, 14(4). p. e078784. 10.1136/bmjopen-2023-078784 Retrieved from https://hdl.handle.net/10161/30667.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.