Evidence map›Paper›PMID 39777202›Full record

ReviewFrontiers in psychiatry2024

Bibliometric analysis of nurses' moral distress research.

Xin Li, Xiao Liu, Fengxia Wang, Yi Zhang, Jianxin Huang, Jihong Wang, Xiaohuan Zhou

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Xin LiSchool of Nursing, Pingdingshan University, Pingdingshan, Henan Province, China.
Xiao LiuDepartment of Nursing, Hubei University of Medicine, Shiyan, Hubei Province, China.
Fengxia WangSchool of Nursing, Pingdingshan University, Pingdingshan, Henan Province, China.
Yi ZhangSchool of Nursing, Pingdingshan University, Pingdingshan, Henan Province, China.
Jianxin HuangSchool of Nursing, Pingdingshan University, Pingdingshan, Henan Province, China.
Jihong WangSchool of Nursing, Pingdingshan University, Pingdingshan, Henan Province, China.
Xiaohuan ZhouSchool of Nursing, Pingdingshan University, Pingdingshan, Henan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify the research status of nurses' moral distress and predict emerging research hotspots and development trends. Methods: Articles on nurses' moral distress were retrieved from the Web of Science Core Collection database from the inception of the database to 2024. A bibliometric analysis was conducted using VOSviewer and CiteSpace software to analyze publication distributions by country, institution, journal, author contributions, keyword trends, and reference co-citations. Results: Our study analyzed 1,781 documents, revealing a notable increase in publications after 2017, with contributions from 88 countries and 2,301 institutions worldwide. The United States and China were prominent contributors, highlighting global interest in this area. Analyses of keywords and cited references reveal emerging research topics such as "COVID-19", "burnout", and "moral resilience". Conclusion: This bibliometric review sheds light on the growing academic interest in nurses' moral distress, emphasizing key themes and outlining future research directions. By charting the development of this domain, our study provides critical insights, guiding the investigation of complex ethical issues in nursing and enhancing understanding of nurses' moral distress.

Indexed as

bibliometric analysisburnoutmoral distressmoral resiliencenursesresearch hotspotsresearch trends

Identifiers

PMID39777202
PMCPMC11703852

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.