Evidence map›Paper›PMID 38260785›Full record

ArticleFrontiers in psychiatry2023

Positive effect of Balint group on burnout and self-efficacy of head nurses in China: a randomized controlled trial.

Qu Shan, Rainer Leonhart, Xie Zhijuan, Zheng Minjie, Shi Xinxin, Bai Xinzhu, Kong Xiangyan, Kurt Fritzsche

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
6.8field-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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

8 authors at 2 institutions in 2 countries.

Qu Shan *Department of Medical Psychology, Peking University People's Hospital, Beijing, China.
Rainer Leonhart *Institute of Psychology, University of Freiburg, Freiburg, Germany.
Xie ZhijuanDepartment of Medical Psychology, Peking University People's Hospital, Beijing, China.
Zheng MinjieDepartment of Medical Psychology, Peking University People's Hospital, Beijing, China.
Shi XinxinDepartment of Medical Psychology, Peking University People's Hospital, Beijing, China.
Bai XinzhuPeking University People's Hospital, Beijing, China.
Kong XiangyanDepartment of Nursing, Peking University People's Hospital, Beijing, China.
Kurt FritzscheDepartment of Psychosomatic Medicine and Psychotherapy, Faculty of Medicine, Medical Center University of Freiburg, Freiburg, Germany.
Peking University · CNUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Burnout is common among nurses and can lead to negative outcomes of medical care. This study aimed to explore the effectiveness of Balint groups to reduce burnout in head nurses in a Chinese hospital. Methods: This was a randomized controlled trial with a pre- and post-test. A total of 80 head nurses were randomly assigned to either a Balint group ( Results: In the Balint group, 33 participants attended all Balint groups, while the 40 participants in the control group had no intervention. Analysis of variance with repeated measures demonstrated a statistically significant difference on the Maslach Burnout Inventory subscale of sense of personal achievement ( Conclusions: Balint groups helped reduce burnout among head nurses in terms of personal achievement.

Indexed as

Balint groupburnouthead nursespatient relationshipsself-efficacy

Identifiers

PMID38260785
PMCPMC10800790
OpenAlexW4390664753

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.