Evidence map›Paper›PMID 41446816›Full record

ArticleSAGE open nursing

Modifiable Protective Strategies and System-Level Predictors of Professional Quality of Life in Oncology Nurses: A Secondary Analysis.

Carolyn S Phillips, Cheongin Rachel Im, Katie Trainum, Megan C Thomas Hebdon

Abstract read
In one paragraph

Article in SAGE open nursing. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Carolyn S PhillipsThe University of Texas at Austin, School of Nursing, Austin, Texas, USA.ORCID https://orcid.org/0000-0002-6957-4032
Cheongin Rachel ImThe University of Texas at Austin, School of Nursing, Austin, Texas, USA.
Katie TrainumNational Clinician Scholars Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Megan C Thomas HebdonUniversity of Utah, College of Nursing, Salt Lake City, Utah, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Oncology nurses experience heightened risk for burnout and secondary traumatic stress (STS) due to sustained exposure to patient suffering, high mortality, and emotionally demanding care. These challenges are multifactorial, and limited research has examined modifiable protective factors or system-level predictors that support nurses' well-being. Objective: To identify relationships among emotional well-being, protective strategies, and professional quality of life, and to examine modifiable predictors of burnout, STS, and compassion satisfaction in oncology nurses. Methods: This secondary analysis drew from baseline quantitative and qualitative data collected in two feasibility studies of the Results: Among 67 oncology nurses (M age = 40 years, 96% female, 91% White), burnout correlated positively with anxiety and depression, and negatively with self-compassion, insight, and compassion satisfaction (all Conclusions: Healthcare organizations and nursing schools must move beyond passive approaches to emotional support by embedding structured, skills-based interventions into practice and education. In clinical settings, this includes routine grief debriefings, accessible counseling, and psychologically safe spaces for peer and counseling support. Nursing curricula should embed experiential training in emotion regulation and self-compassion to prepare clinicians to manage grief, sustain empathy, and prevent burnout.

Indexed as

burnoutcompassion fatigueoncology nursesorganizational cultureSelf-awareness

Identifiers

PMID41446816
PMCPMC12722642

What OpenQuestion holds

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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.