Evidence map›Paper›PMID 35527343›Full record

ArticleNursing open2022

Compassion satisfaction and compassion fatigue in haematology cancer nurses: A cross-sectional survey.

Fengjiao Chen, Yamei Leng, Jiping Li, Yuhuan Zheng

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Fengjiao ChenDepartment of Hematology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Yamei LengDepartment of Hematology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Jiping LiWest China School of Nursing/West China Hospital, Sichuan University, Chengdu, China.
Yuhuan ZhengDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-5855-4343
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to investigate compassion satisfaction (CS) and compassion fatigue (CF) in haematology nurses and their associated factors.

designA cross-sectional survey.

methodsThe survey was conducted on 336 haematology nurses from 21 hospitals in Sichuan, China. The CS and CF were assessed by the Professional Quality of Life Scale version 5. The CF was determined by burnout and secondary traumatic stress.

resultsHaematology nurses in China had moderate levels of CS and moderate-to-low CF. Better nursing competence of teaching/consultation and communication/coordination and the percentage of critically ill patients >60% predicted higher CS. The permanent nurse, better nursing competence of communication/coordination and specialized clinical practice predicted less burnout, while working >40 hr per week or more nurse-patient conflict events predicted more burnout. In addition, working >40 hr per week, more nurse-patient conflict events and having the need of psychological support predicted higher secondary traumatic stress.

Indexed as

Burnout, ProfessionalCompassion FatigueHematologic NeoplasmsHematologyCross-Sectional StudiesEmpathyHumansJob SatisfactionPersonal SatisfactionQuality of Lifeburnoutcompassion fatiguecompassion satisfactionhaematology, cancernurses

Identifiers

PMID35527343
PMCPMC9190701
OpenAlexW4229364177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.