Evidence map›Paper›PMID 38078217›Full record

ArticleFrontiers in psychology2023

The impact of medical staff's character strengths on job performance in Hangzhou hospitals.

Xin Zhou, Yinrui Zhang, Yuhang Wang, Haixia Wang, Shuaijun Sun, Xianhong Huang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
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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

6 authors.

Xin ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Yinrui ZhangFirst Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yuhang WangTianlai Primary School, Hebi City People's Hospital, Hebi, China.
Haixia WangDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Shuaijun SunJiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Xianhong HuangDepartment of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Improving job performance has a significant effect on the quality of medical services and ensuring people's health. Purpose: This study explores the influence and mechanism of the character strengths and career callings of medical staff as well as the intermediary role of such career calling. Methodology: A cross-sectional survey was conducted of 414 healthcare staff members in public hospitals in Hangzhou. Descriptive statistics and hierarchical linear regressions were used to analyze the medical staff's job performance and related factors, and structural equation modeling path analysis was used to explore and validate the influence and mechanism of character advantage and career calling on job performance. Results: The results show that medical staff character strengths have a positive impact on job performance. Path analysis shows that character strengths indirectly affect job performance, and career calling plays a partial mediating role in character strengths and job performance. Conclusion: The results show that good personalities promote job performance, and the association is more significant under a high sense of career calling.

Indexed as

career callingcharacter strengthsjob performancemediating rolemedical staff

Identifiers

PMID38078217
PMCPMC10701392

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.