Literature DB >> 32588969

A multi-center cross-sectional study on midwives' self-efficacy and influencing factors.

Xiu-Min Jiang1, Xiao-Qian Chen2, Jing Zheng3, Qing-Xiang Zheng1, Xin-Xin Huang1, Yu-Qing Pan2.   

Abstract

AIM: Healthcare professionals who lack self-efficacy may fail to cope with stressful situations, which increases job burnout and turnout. Self-efficacy of midwives with high workload may affect the quality of service. However, little is known about midwives' self-efficacy and related factors. This study aimed to examine the level and influencing factors of self-efficacy among midwives, and to assess the relationships between their self-efficacy and job burnout.
METHODS: This was a multi-center cross-sectional study involving 700 midwives from 33 hospitals in China. Data were collected by three self-administered questionnaires, including a socio-demographic questionnaire, General Self-Efficacy Scale and Maslach Burnout Inventory. Pearson correlation was utilized to analyze the association of self-efficacy with job burnout. A multiple linear regression model was performed to identify variables associated with midwives' self-efficacy.
RESULTS: The score of self-efficacy among Chinese midwives was 24.34 ± 5.28. The incidence of job burnout was 52.9%. The influencing factors of self-efficacy among midwives were low personal accomplishment, emotional exhaustion, length of service, interest in the midwifery field, marital status and whether they came from a one-child family or not.
CONCLUSIONS: Chinese midwives had a moderate level of self-efficacy which easily led to job burnout. Also, several personal-related and work-related factors would affect the self-efficacy of midwives. Nursing managers are called on to attach importance to self-efficacy of midwives and provide effective interventions to improve their self-efficacy.
© 2020 Japan Academy of Nursing Science.

Entities:  

Keywords:  cross-sectional study; factors; job burnout; midwives; self-efficacy

Year:  2020        PMID: 32588969     DOI: 10.1111/jjns.12357

Source DB:  PubMed          Journal:  Jpn J Nurs Sci        ISSN: 1742-7924            Impact factor:   1.418


  2 in total

1.  Status and Influencing Factors of Social Media Addiction in Chinese Medical Care Professionals: A Cross-Sectional Survey.

Authors:  Aijing Luo; Weitao Kong; Haiyan He; Yuanyuan Li; Wenzhao Xie
Journal:  Front Psychol       Date:  2022-04-27

2.  Psychological effects of the COVID-19 outbreak on nurses working in tertiary women's and children's hospitals from Sichuan, China: A cross-sectional study.

Authors:  Qiuyang He; Jianhua Ren; Guoyu Wang; Jinling Zhang; Jie Xiang; Dongning He
Journal:  Int J Disaster Risk Reduct       Date:  2021-03-18       Impact factor: 4.320

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.