Predictors of occupational burnout among nurses: a dominance analysis of job stressors

Sun, Jiwei; Bai, Huayu; Lin, Ping-Zhen; Zhang, Huihui; Cao, Fenglin

doi:10.1111/jocn.13754

Cited by 30 publications

(32 citation statements)

References 38 publications

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“…Indeed, when job satisfaction increases, productivity and performance increase as well (Sahin, Akyurek, & Yavuz, 2014). From this perspective, development of nurses' professional competencies is an important factor affecting their service quality (Sahin et al, 2014;Sun et al, 2017;Wilkes, Cowin, & Johnson, 2015). Along with inadequacy in the number of nurses, difficult working conditions, irregular and long working hours, and work pressure cause significant problems in the nursing profession (Lee, Dai, & McCreary, 2015).…”

Section: Introductionmentioning

confidence: 99%

Identifying trends, patterns, and collaborations in nursing career research: A bibliometric snapshot (1980–2017)

et al. 2020

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Background: Several studies have investigated the social and technical dimensions of a career in nursing. This paper reveals tendencies and patterns in relevant literature, through bibliometrics and scientometrics. Aim: This article aims to shed light on the scientific literature of nursing as a career, which is a growing field of study in the nursing category of the Web of Science. Methods: The researchers designed and conducted a bibliometric and scientometric study in the Web of Science Database, in April 2018. The 1,434 articles the authors evaluated were published between 1980 and 2017 in the Web of Science database. They analyzed the retrieved dataset through distancebased, graph-based, and timeline-based approaches, and text analytics in the scope of scientometrics and bibliometrics. Findings: The authors used summary statistics, text, and network analytics to determine the number of publications over the years. In addition, citation metrics, demographics, co-authorship identifications, citations, co-occurrence networks, and topic structures were used. In the keyword analysis of the studies, the concepts "nurse restriction," "satisfaction," "difficulties in the working environment," and "burn out and stress" were found to be used intensively. Discussion and Conclusion: This study is intended for nurses, managers, researchers, and also policymakers, because it is critical for them to see the rhetoric of the debates in the literature and provide the best governance and the best quality services.

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Section: Introductionmentioning

confidence: 99%

Identifying trends, patterns, and collaborations in nursing career research: A bibliometric snapshot (1980–2017)

et al. 2020

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“…More importantly, dynamic changes in the work environment and psychosocial job characteristics significantly impacted and predicted employee burnout (Pisanti et al, ). Yet another study found interpersonal relationships and management problems as the strongest predictors of burnout (Sun et al, ). Therefore, for the purposes and conceptual clarity of this research, we decided to classify predictors of burnout arising from internal (work‐related, such as internal conflict and job insecurity) and external pressures (patient induced outcomes).…”

Section: Introductionmentioning

confidence: 99%

Discriminating low‐, medium‐ and high‐burnout nurses: Role of organisational and patient‐related factors

et al. 2019

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Aim To discriminate low/medium/high burnout in nurses by work and patient‐related indicators and explore what factors characterize these categories best. Methods Cross‐sectional, online survey with a representative sample of nurses. Measures assessed burnout, intragroup conflict, job insecurity, overt aggression and impact of patient aggression on nurses. Results Top nurse managers experienced more burnout than middle managers or staff, middle managers also reported greater burnout than staff. Those who had never suffered aggression experienced greater burnout but less intragroup conflict and job insecurity. Staff differed on job insecurity from top and midlevel managers. The first discriminant function differentiated high burnout from medium and low; this function was characterized by exhaustion, aggression and intragroup conflict. The second function differentiated medium burnout from others; job insecurity, years worked, over aggression and overtime dominated this function. Conclusions Burnout affects managers and staff differently; top managers may be more susceptible to burnout than reported before. Low, medium and high burnout groups require tailored interventions because of their different characteristics. Implications for Nursing Management In the future, burnout assessment should focus on both organisational and care related factors. Determining levels of burnout will guide managers to improve the right aspects of practice and work environment.

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“…As Hayes B's a review, the relationship of nurses with physicians had the highest negative influence on job burnout [13]. Sun JW confirmed that interpersonal relationships and management issues most strongly predicted participants' burnout [14]. Furthermore, many studies verified the key value of connections with colleagues to job burnout, such as those related to interpersonal justice [15], interpersonal conflicts [16], and group noncooperation [17].…”

Section: Introductionmentioning

confidence: 93%

Could the connectedness of primary health care workers involved in social networks affect their job burnout? A cross-sectional study in six counties, Central China

Mao

Feng

et al. 2020

BMC Health Serv Res

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Background: This study aimed to reveal the effects of the connectedness of primary health care (PHC) workers in social networks on their job burnout. Methods: Cross-sectional survey data of rural PHC workers in China were analyzed. A total of 663 respondents were enrolled. Chi-square and cumulative logistic regression were used to determine the effects of the connectedness of PHC workers in social networks on their job burnout. Results: PHC workers in rural China had high levels of emotional exhaustion (24.1%), depersonalization (15.7%), and lack of personal accomplishment (34.7%). More than half of the participants were in the middle connectedness level in terms of their advisory (70.4%) and friendship (70.3%) networks. The degree of emotional exhaustion seemed to increase when participants had a low connectedness in their friendship networks (β = 0.769, 95% CI = 0.080-1.458, P = 0.029). Respondents with the middle level of connectedness in advisory networks had higher levels of depersonalization (β = 0.739, 95% CI = 0.130-1.348, P = 0.017) and lack of personal accomplishment (β = 0.583, 95% CI = 0.111-1.055, P = 0.015) than those with the high degree of connectedness in advisory networks. Conclusions: The connectedness of PHC workers in social networks influenced their job burnout. Thus, organizations should establish an informal communication platform and information feedback mechanism, promote and manage friendship networks, and help PHC workers overcome emotional exhaustion. Managers should also encourage individuals with a high level of connectedness in advisory networks play the role of "opinion leader" so that they can help others mitigate burnout.

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Predictors of occupational burnout among nurses: a dominance analysis of job stressors

Abstract: Understanding the relative effect of job stressors may help identify fruitful areas for intervention and improve nurse recruitment and retention.

Cited by 30 publications

References 38 publications

Identifying trends, patterns, and collaborations in nursing career research: A bibliometric snapshot (1980–2017)

Identifying trends, patterns, and collaborations in nursing career research: A bibliometric snapshot (1980–2017)

Discriminating low‐, medium‐ and high‐burnout nurses: Role of organisational and patient‐related factors

Could the connectedness of primary health care workers involved in social networks affect their job burnout? A cross-sectional study in six counties, Central China

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