Evidence map›Paper›PMID 39315046›Full record

ArticleFrontiers in psychology2024

Development and validation of the job stressor scale for specialty nurses.

Panpan Zhang, Wenqiong Lin, Songyao Li, Yaru Li, Jili Wei, Huiyi Zhang, Bo Zhang, Ziru Fang, Rui Guo, Hongmei Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

10 authors.

Panpan Zhang *Nursing Department, Henan Provincial People's Hospital, Zhengzhou, China.
Wenqiong Lin *Nursing Department, People's Hospital of Zhengzhou University, Zhengzhou, China.
Songyao LiNursing Department, People's Hospital of Zhengzhou University, Zhengzhou, China.
Yaru LiNursing Department, People's Hospital of Zhengzhou University, Zhengzhou, China.
Jili WeiDepartment of Medical Oncology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Huiyi ZhangAnesthesia Intensive Care Unit, Henan Provincial People's Hospital, Zhengzhou, China.
Bo ZhangDepartment of Pediatrics, Henan Provincial People's Hospital, Zhengzhou, China.
Ziru FangNursing Department, Henan Provincial People's Hospital, Zhengzhou, China.
Rui GuoNursing Department, Henan Provincial People's Hospital, Zhengzhou, China.
Hongmei ZhangNursing Department, Henan Provincial People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Specialty nurses play a crucial role in specialized nursing practice, teaching, management, and research. These nurses often face significant work pressure; therefore, scientifically and effectively assessing their job stress and its sources is vital for enhancing the quality of their work. However, there is currently a dearth of verified assessment tools for measuring job stressors among specialty nurses. Therefore, this study aimed to develop and test an instrument to assess the job stressors applicable to specialty nurses. Methods: We conducted a multiphase mixed-methods study. The initial scale items were developed from a literature review and structured interviews. The scale was then refined through two rounds of expert consultation ( Results: The final scale comprises four dimensions with 27 items. The factors included "specialized nursing and work," "workload and time allocation," "patient care," and "work resources and environment." The EFA explained 69.10% of the variance, while the CFA confirmed a good model fit. The content validity index was 0.980 at the scale level and 0.790-1.000 at the item level. The scale's reliability was supported by its high Cronbach's Conclusion: Our findings indicate that the job stressor scale developed in this study is valid and reliable, and is recommended for use among specialty nurses to assess their stressors.

Indexed as

developmentevaluationnursesscalespecialtiesstressor

Identifiers

PMID39315046
PMCPMC11417027

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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.