Evidence map›Paper›PMID 36841817›Full record

ArticleBMC nursing2023

The association between team resilience and team performance in nurses during COVID-19 pandemic: a network analysis.

Zhiwei Wang, Qian Liang, Zeping Yan, Jian Liu, Mengqi Liu, Xiaoli Wang, Jiurui Wang, Junting Huang, Xiaorong Luan

Abstract read
In one paragraph

Article in BMC nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Contributions of Clinical Simulation to Group Cohesion: A Quasi-Experimental Study.European journal of investigation in health, psychology and education · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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

9 authors.

Zhiwei WangSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Qian LiangSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Zeping YanSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Jian LiuSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Mengqi LiuSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Xiaoli WangSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Jiurui WangSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Junting HuangSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China.
Xiaorong LuanSchool of Nursing and Rehabilitation, Qilu Hospital, Shandong University, Shandong, China. 199162000814@sdu.edu.cn.

Funding

Provincial Key Research and Development Program of Shandong 2021CXGC011301
6 · The paper itself

Abstract

backgroundCompared to other healthcare workers, nurses are more vulnerable to the potentially devastating effects of pandemic-related stressors. Studies have not yet investigated the deeper characteristics of the relationship between team resilience and team performance among nurses during the COVID-19 pandemic. This study aimed to elucidate the characteristics of team resilience and performance networks among nurses during the pandemic.

methodsA cross-sectional study involving 118 nursing teams comprising 1627 practice nurses from four tertiary-A and secondary-A hospitals in Shandong Province, China, was conducted. Analyzing and Developing Adaptability and Performance in Teams to Enhance Resilience Scale and the Team Effectiveness Scale were used to measure team resilience and performance, respectively. The estimation of the network model and calculation of related metrics, network stability and accuracy, and network comparison tests were performed using R 4.0.2.

resultsNode monitoring had the highest centralities in the team resilience and performance network model, followed by node anticipation, cooperation satisfaction, and cooperation with other departments. Moreover, node cooperation satisfaction and learning had the highest levels of bridge centrality in the entire network.

conclusionMonitoring, anticipation, cooperation satisfaction, cooperation with other departments, and learning constituted core variables maintaining the team resilience-performance network structure of nurses during the pandemic. Clinical interventions targeting core variables may be effective in maintaining or promoting both team resilience and performance in this population.

Indexed as

COVID-19Network analysisNursesTeam performanceTeam resilience

Identifiers

PMID36841817
PMCPMC9959955

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.