Evidence map›Paper›PMID 36564925›Full record

ArticleNursing open2023

Effect of role overload on missed nursing care in China: The role of work addiction and leader-member exchange.

Lin-Li Xie, Wenchun Jiang, Eksiri Niyomsilp, Jie Jing, Lu Feng, Yilin Wen, Li Wang, Rongmei Zheng

Abstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

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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

8 authors.

Lin-Li XieUniversity of Electronic Science and Technology of China, Sichuan Provincial People's Hospital, Chengdu, China.ORCID 0000-0001-7397-3223
Wenchun JiangDepartment of Nursing, University of Electronic Science and Technology of China, Sichuan Provincial People's Hospital, Chengdu, China.
Eksiri NiyomsilpSchool of Management, Shinawatra University, Pathumthani, Thailand.
Jie JingSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Lu FengUniversity of Electronic Science and Technology of China, Sichuan Provincial People's Hospital, Chengdu, China.
Yilin WenShehong Municipal Hospital of Traditional Chinese Medicine, Shehong, China.
Li WangThe Second People's Hospital of Panzhihua, Panzhihua, China.
Rongmei ZhengGuangyuan Third People's Hospital, Guangyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim was to examine the effect of role overload, work addiction and leader-member exchange on missed nursing care.

designA cross-sectional study.

methodsChinese registered nurses from five Sichuan province public hospitals were studied from March 2022-May 2022. The measurements were derived from a questionnaire on role overload, work addiction, missed nursing care, leader-member exchange and a sociodemographic datasheet. Descriptive statistics and inferential statistics were conducted (N = 403).

resultsRole overload was associated with missed nursing care, and work addiction played a mediation role. Leader-member exchange negatively predicted work addiction and played a moderating role between role overload and work addiction. The effect of role overload on work addiction was attenuated when the level of leader-member exchange was higher. Promoting leader-member exchange could mitigate how role overload undermines missed nursing care.

Indexed as

LeadershipNursing Staff, HospitalAttitude of Health PersonnelChinaCross-Sectional StudiesHumansleader-member exchangemissed nursing carenursing managementrole overloadwork addiction

Identifiers

PMID36564925
PMCPMC10077371

What OpenQuestion holds

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LicenceCC BY
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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.