Publications by authors named "Ji-Qun He"

3 Publications

  • Page 1 of 1

The influence of mobile phone addiction and work procrastination on burnout among newly graduated Chinese nurses.

Perspect Psychiatr Care 2021 Mar 2. Epub 2021 Mar 2.

Operating Department of Xiangya Hospital, Central South University, Changsha, Hunan, China.

Purpose: The study was conducted to explore the relationship between mobile phone addiction, work procrastination, and burnout among newly graduated nurses.

Design And Methods: A cross-sectional survey involving 220 newly graduated nurses in China was conducted from June to July 2020.

Findings: Approximately 60.9% of newly graduated nurses experienced occupational burnout; 72.7% of newly graduated nurses were characterized by moderate or greater procrastination and mobile phone addiction was at a moderate level. Mobile phone addiction and work procrastination were significant factors leading to emotional exhaustion and cynicism. Work procrastination was also an independent predictor of reduced professional efficacy.

Practice Implications: Reducing the level of mobile phone addiction and work procrastination among newly graduated nurses might be effective for burnout prevention.
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http://dx.doi.org/10.1111/ppc.12752DOI Listing
March 2021

Mobile phone addiction and its association with burnout in Chinese novice nurses: A cross-sectional survey.

Nurs Open 2021 03 3;8(2):688-694. Epub 2020 Nov 3.

Xiangya Nursing School, Central South University, Changsha, China.

Aim: To explore the levels of mobile phone addiction and burnout and their relationships among novice nurses.

Design: A cross-sectional investigation design.

Methods: Questionnaires were distributed to 400 novice nurses in five public hospitals in China. A total of 366 participants completed the survey. Data collected in 2020 were analysed by using descriptive statistics, an independent t test and Pearson's correlation analysis.

Results: The results showed that the frequency of nursing adverse events was associated with higher level of mobile phone addiction in novice nurses, and 52.46% of the participants (N = 366) presented a high level of occupational burnout. Moreover, the results indicated that there was a positive correlation between the novice nurses' mobile phone addiction level and burnout (r = .33, p < .01).

Conclusion: The level of mobile phone addiction may affect nursing adverse events and nurses' burnout. Education on novice nurses' mobile phone use seems necessary to ensure patient safety and burnout prevention.

Impact: Findings of this study expanded important knowledge about mobile phone addiction and its potential influence on nursing safety and nurse burnout and may place significant implications to staff nurse management and in-service education.
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http://dx.doi.org/10.1002/nop2.673DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877152PMC
March 2021

Evaluating Surgical Risk Using FMEA and MULTIMOORA Methods under a Single-Valued Trapezoidal Neutrosophic Environment.

Risk Manag Healthc Policy 2020 23;13:865-881. Epub 2020 Jul 23.

Hunan Engineering Research Center of Intelligent Decision Making and Big Data on Industrial Development, Xiangtan 411201, People's Republic of China.

Background: Human errors during operations may seriously threaten patient recovery and safety and affect the doctor-patient relationship. Therefore, risk evaluation of the surgical process is critical. Risk evaluation by failure mode and effect analysis (FMEA) is a prospective technology that can identify and evaluate potential failure modes in the surgical process to ensure surgical quality and patient safety. In this study, a hybrid surgical risk-evaluation model was proposed using FMEA and multiobjective optimization on the basis of ratio analysis plus full multiplicative form (MULTIMOORA) method under a single-valued trapezoidal neutrosophic environment. This work aimed to determine the most critical risk points during the surgical process and analyze corresponding solutions.

Methods: A team for FMEA was established from domain experts from different departments in a hospital in Hunan Province. Single-valued trapezoidal neutrosophic numbers (SVTNNs) were used to evaluate potential risk factors in the surgical process. Cmprehensive weights combining subjective and objective weights were determined by the best-worst method and entropy method to differentiate the importance of risk factors. The SVTNN-MULTIMOORA method was utilized to calculate the risk-priority order of failure modes in a surgical process.

Results: The hybrid FMEA model under the SVTNN-MULTIMOORA method was used to calculate the ranking of severity of 21 failure modes in the surgical process. An unclear diagnosis is the most critical failure in the surgical process of a hospital in Hunan Province.

Conclusion: The proposed model can identify and evaluate the most critical potential failure modes of the surgical process effectively. In addition, such a model can help hospitals to reduce surgical risk and improve the safety of surgery.
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http://dx.doi.org/10.2147/RMHP.S243331DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384878PMC
July 2020