Factors influencing career success of clinical nurses in northwestern China based on Kaleidoscope Career Model: Structural equation model

被引:20
|
作者
Wu, Chao [1 ]
Zhang, Lin-Yuan [1 ]
Zhang, Xin-Yan [2 ]
Du, Yan-Ling [1 ]
He, Shi-Zhe [1 ]
Yu, Li-Rong [3 ]
Chen, Hong-Fang [4 ]
Shang, Lei [5 ]
Lang, Hong-Juan [1 ]
机构
[1] Fourth Mil Med Univ, Dept Nursing, 169 Changle West Rd, Xian 710032, Shaanxi, Peoples R China
[2] Army 75 Grp Mil Hosp, Dept Biomed Engineer, Kunming, Yunnan, Peoples R China
[3] Xianyang Cent Hosp, Dept Nursing, Xianyang, Peoples R China
[4] Shaanxi Prov Hosp Tradit Chinese Med, Dept Nursing, Xian, Peoples R China
[5] Fourth Mil Med Univ, Sch Prevent Med, Dept Hlth Stat, 169 Changle West Rd, Xian 710032, Shaanxi, Peoples R China
关键词
career success; clinical nurse; information literacy; self-efficacy; social support; structural equation model; SELF-EFFICACY; INFORMATION LITERACY; MEDIATING ROLES; SOCIAL-SUPPORT; SKILLS; INTENTION; DISTRESS; WORK;
D O I
10.1111/jonm.13499
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Aim To explore the relationships among self-efficacy, information literacy, social support and career success of clinical nurses and identify factors influencing clinical nurses' career success in northwestern China. Background Understanding the influencing factors of career success is important for the professional development of nurses and the improvement of clinical nursing quality. Many influencing factors of career success have been identified, but there is no large-scale research on the relationships among self-efficacy, information literacy, social support and career success of clinical nurses based on Kaleidoscope Career Model. Studies examining the association of the four factors remain limited. Methods A total of 3011 clinical nurses from 30 hospitals in northwestern China were selected in the cross-sectional survey, and the response rate was 94.71%. The clinical nurses completed the online self-report questionnaires including self-efficacy, information literacy, social support rating scale and career success scale. The data were analysed by SPSS23.0 statistical software using t test, analysis of variance, Pearson's correlation and multiple linear regression. Structural equation model (SEM) was used to analyse the influencing factors of career success using Mplus 8.3. Results The career success of clinical nurses in northwestern China was at a medium level. The linear multivariate regression analysis showed that self-efficacy (beta = .513), social support (beta = .230), information support (beta = .106), information consciousness (beta = -.097), information knowledge (beta = .067), information ethics (beta = -.053), hospital grade (beta = .118), marital status (beta = -.071) and age (beta = -.037) entered regression equation of clinical nurses' career success (all P < .05). SEM results showed that the career success was negatively correlated with demographic characteristics and positively correlated with social support and self-efficacy. Conclusion Demographic characteristics, self-efficacy, social support and information literacy are the influencing factors of nurses' career success, which should be considered in the process of promoting nurses' career success. Implications for nursing management Nursing managers need to acknowledge the significance of nurses' career success both for the realization of their own value and for the improvement of clinical nursing quality. They should encourage nurses to enhance self-efficacy and render more social support through incentive policies and foster nurses' information literacy through information technology training so as to improve their career success.
引用
收藏
页码:428 / 438
页数:11
相关论文
共 50 条
  • [1] A longitudinal investigation of the Kaleidoscope Career Model, networking behaviors, and career success
    Simmons, John
    Wolff, Hans -Georg
    Forret, Monica L.
    Sullivan, Sherry E.
    JOURNAL OF VOCATIONAL BEHAVIOR, 2022, 138
  • [2] Factors affecting the career development of male nurses: a structural equation model
    Lou, Jiunn-Horng
    Yu, Hsing-Yi
    Chen, Sheng-Hwang
    JOURNAL OF ADVANCED NURSING, 2010, 66 (04) : 900 - 910
  • [3] Factors influencing work engagement among male nurses: A structural equation model
    Wu, Chao
    Cheng, Si-zhe
    Wu, Jing
    Zhang, Yin-juan
    Lin, Ya-wei
    Li, Lu
    Du, Juan
    Zhang, Yu-hai
    Lang, Hong-juan
    NURSING OPEN, 2023, 10 (12): : 7749 - 7758
  • [4] A structural equation model of turnover for a longitudinal survey among early career registered nurses
    Brewer, Carol S.
    Chao, Ying-Yu
    Colder, Craig R.
    Kovner, Christine T.
    Chacko, Thomas P.
    INTERNATIONAL JOURNAL OF NURSING STUDIES, 2015, 52 (11) : 1735 - 1745
  • [5] INFLUENCING FACTORS OF 10TH GRADE STUDENTS' SCIENCE CAREER EXPECTATIONS: A STRUCTURAL EQUATION MODEL
    Wang, Jingying
    Yang, Mingyue
    Lv, Beibei
    Zhang, Feixiong
    Zheng, Yonghe
    Sun, Yihong
    JOURNAL OF BALTIC SCIENCE EDUCATION, 2020, 19 (04): : 675 - 686
  • [6] Anxiety, job satisfaction, supervisor support and turnover intentions of mid-career nurses: A structural equation model analysis
    Modaresnezhad, Minoo
    Andrews, Martha C.
    Mesmer-Magnus, Jessica
    Viswesvaran, Chockalingam
    Deshpande, Satish
    JOURNAL OF NURSING MANAGEMENT, 2021, 29 (05) : 931 - 942
  • [7] Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
    Yu, Feifei
    Li, Xuxia
    Yang, Jishun
    BMC PUBLIC HEALTH, 2022, 22 (01)
  • [8] Nurse-Authored Patents and Their Influencing Factors Analysis Among Oncology Nurses Based on the Structural Equation Model
    Yang, Hong
    Feng, Zhichao
    Li, Wen
    Lu, Yuhan
    NURSING OPEN, 2024, 11 (11):
  • [9] Analysis of influencing factors of orthopedic nurses' spiritual care competencies based on structural equation model
    Chen, Xiaoju
    Yuan, Renzhi
    Du, Yibing
    Fan, Aihong
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [10] Influencing factors of kinesiophobia in older patients with chronic heart failure: A structural equation model
    Qin, Jingwen
    Xiong, Juanjuan
    Chen, Chen
    Wang, Xue
    Gao, Ya
    Zhou, Yan
    Zheng, Guixiang
    Gong, Kaizheng
    CLINICAL CARDIOLOGY, 2023, : 729 - 736