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      Fear of future workplace violence and its influencing factors among nurses in Shandong, China: a cross-sectional study

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          Abstract

          Background

          Fear of workplace violence has become a critical issue worldwide, which can lead to burnout, low levels of job satisfaction, and turnover. However, to date, little attention has been directed toward fear of workplace violence among nurses. Accordingly, this study investigated the level of fear of future workplace violence and its influencing factors among nurses in Shandong, China.

          Methods

          A cross-sectional study was conducted from July 30 through September 30, 2020 in Shandong Province, China. A total of 1898 nurses were enrolled from 12 tertiary hospitals. Fear of future workplace violence was measured using the Fear of Future Violence at Work scale. Demographic information, employment characteristics, social support, and experience of workplace violence were assessed. Multiple linear regression analysis was used to explore the influencing factors of fear of future workplace violence.

          Results

          The average score of fear of future violence at work was 67.43 ± 17.20 among nurses. Multiple linear regression analysis showed that higher fear of future violence at work scores were reported among nurses who were female (B = 7.10, p < 0.001), married (B = 3.50, p = 0.028), with a monthly income ≥5000 Chinese yuan (CNY) (B = 3.14, p = 0.007), working in the department of internal medicine (B = 2.90, p = 0.032), surgery (B = 5.03, p < 0.001), pediatrics (B = 5.38, p = 0.003), or emergency department (B = 4.50, p = 0.010), working as a contract employee (B = 2.41, p = 0.042), or who had experienced workplace violence (B = 7.02, p < 0.001). Lower fear of future violence at work scores were found among nurses who took vacations (1–14 days: B = − 2.52, p = 0.047; ≥15 days: B = − 3.69, p = 0.007) and had a high-level of social support (B = − 2.03, p = 0.020).

          Conclusions

          There was a high level of fear of future workplace violence among nurses in Shandong, China. This should be considered an important issue by hospital administrators and government officials. Effective interventions need to be enacted to address the influencing factors of fear of future workplace violence.

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          Most cited references48

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          Association of torture and other potentially traumatic events with mental health outcomes among populations exposed to mass conflict and displacement: a systematic review and meta-analysis.

          Uncertainties continue about the roles that methodological factors and key risk factors, particularly torture and other potentially traumatic events (PTEs), play in the variation of reported prevalence rates of posttraumatic stress disorder (PTSD) and depression across epidemiologic surveys among postconflict populations worldwide. To undertake a systematic review and meta-regression of the prevalence rates of PTSD and depression in the refugee and postconflict mental health field. An initial pool of 5904 articles, identified through MEDLINE, PsycINFO and PILOTS, of surveys involving refugee, conflict-affected populations, or both, published in English-language journals between 1980 and May 2009. Surveys were limited to those of adult populations (n > or = 50) reporting PTSD prevalence, depression prevalence, or both. Excluded surveys comprised patients, war veterans, and civilian populations (nonrefugees/asylum seekers) from high-income countries exposed to terrorist attacks or involved in distal conflicts (> or = 25 years). Methodological factors (response rate, sample size and design, diagnostic method) and substantive factors (sociodemographics, place of survey, torture and other PTEs, Political Terror Scale score, residency status, time since conflict). A total of 161 articles reporting results of 181 surveys comprising 81,866 refugees and other conflict-affected persons from 40 countries were identified. Rates of reported PTSD and depression showed large intersurvey variability (0%-99% and 3%-85.5%, respectively). The unadjusted weighted prevalence rate reported across all surveys for PTSD was 30.6% (95% CI, 26.3%-35.2%) and for depression was 30.8% (95% CI, 26.3%-35.6%). Methodological factors accounted for 12.9% and 27.7% PTSD and depression, respectively. Nonrandom sampling, small sample sizes, and self-report questionnaires were associated with higher rates of mental disorder. Adjusting for methodological factors, reported torture (Delta total R(2) between base methodological model and base model + substantive factor [DeltaR(2)] = 23.6%; OR, 2.01; 95% CI, 1.52-2.65) emerged as the strongest factor associated with PTSD, followed by cumulative exposure to PTEs (DeltaR(2) = 10.8%; OR, 1.52; 95% CI, 1.21-1.91), time since conflict (DeltaR(2) = 10%; OR, 0.77; 95% CI, 0.66-0.91), and assessed level of political terror (DeltaR(2) = 3.5%; OR, 1.60; 95% CI, 1.03-2.50). For depression, significant factors were number of PTEs (DeltaR(2) = 22.0%; OR, 1.64; 95% CI, 1.39-1.93), time since conflict (DeltaR(2) = 21.9%; OR, 0.80; 95% CI, 0.69-0.93), reported torture (DeltaR(2) = 11.4%; OR, 1.48; 95% CI, 1.07-2.04), and residency status (DeltaR(2) = 5.0%; OR, 1.30; 95% CI, 1.07-1.57). Methodological factors and substantive population risk factors, such as exposure to torture and other PTEs, after adjusting for methodological factors account for higher rates of reported prevalence of PTSD and depression.
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            Prevalence and Risk Factors of Depression, Anxiety, and Stress in a Cohort of Australian Nurses

            Nurses remain at the forefront of patient care. However, their heavy workload as a career can leave them overworked and stressed. The demanding nature of the occupation exposes nurses to a higher risk of developing negative mental states such as depression, anxiety, and stress. Hence, the current study aimed to assess the prevalence and risk factors of these mental states in a representative sample of Australian nurses. The Depression Anxiety Stress Scale was administered to 102 nurses. Information about demographic and work characteristics were obtained using lifestyle and in-house designed questionnaires. Prevalence rates of depression, anxiety, and stress were found to be 32.4%, 41.2%, and 41.2% respectively. Binominal logistic regressions for depression and stress were significant (p = 0.007, p = 0.009). Job dissatisfaction significantly predicted a higher risk of nurses developing symptoms of depression and stress respectively (p = 0.009, p = 0.011). Poor mental health among nurses may not only be detrimental to the individual but may also hinder professional performance and in turn, the quality of patient care provided. Further research in the area is required to identify support strategies and interventions that may improve the health and wellbeing of nursing professionals and hence the quality of care delivered.
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              Workplace violence, job satisfaction, burnout, perceived organisational support and their effects on turnover intention among Chinese nurses in tertiary hospitals: a cross-sectional study

              Objectives Our aims were to assess the relationship between workplace violence, job satisfaction, burnout, organisational support and turnover intention, and to explore factors associated with turnover intention among nurses in Chinese tertiary hospitals. Methods The purposive sampling method was used to collect data from August 2016 through January 2017. A total of 1761 nurses from 9 public tertiary hospitals in 4 provinces (municipalities) located in eastern (Beijing), central (Heilongjiang, Anhui) and western (Shaanxi) regions of China completed the questionnaires (effective response rate=85.20%). A cross-sectional study was conducted using the Workplace Violence Scale, Chinese Maslach Burnout Inventory General Survey, Minnesota Job Satisfaction Questionnaire Revised Short Version, Perceived Organizational Support-Simplified Version Scale and Turnover Intention Scale. Results A total of 1216 of 1706 (69.1%) participants had high turnover intention. During the previous 12 months, the prevalence of physical violence and psychological violence towards nurses was 9.60% and 59.64%, respectively. As expected, the level of turnover intention was negatively correlated with participants’ scores on job satisfaction (r=−0.367, p<0.001) and perceived organisational support (r=−0.379, p<0.001), respectively. Burnout was positively associated with turnover intention (r=0.444, p<0.001). Workplace violence was positively associated with turnover intention (β=0.035, p<0.001) in linear regression analysis. The total effect (β=0.53) of workplace violence on turnover intention comprised its direct effect (β=0.36) and its indirect effect (β=0.17). Conclusions Perceived organisational support served as a mediator between workplace violence, job satisfaction, burnout and turnover intention, and it had a significantly negative impact on turnover intention. Therefore, nursing managers should understand the importance of the organisation’s support and establish a reasonable incentive system to decrease turnover intention.
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                Author and article information

                Contributors
                fuchang@sdu.edu.cn
                yaruren1987@126.com
                guowenwang1989@163.com
                shixiuxin2013@163.com
                fenglin@sdu.edu.cn
                Journal
                BMC Nurs
                BMC Nurs
                BMC Nursing
                BioMed Central (London )
                1472-6955
                7 July 2021
                7 July 2021
                2021
                : 20
                : 123
                Affiliations
                [1 ]GRID grid.27255.37, ISNI 0000 0004 1761 1174, Department of Health Psychology, School of Nursing and Rehabilitation, Cheeloo College of Medicine, , Shandong University, ; No. 44 Wenhuaxilu Rd., Jinan, 250012 Shandong China
                [2 ]GRID grid.452422.7, Department of Nursing Science, , Shandong Provincial Qianfoshan Hospital Affiliated to Shandong First Medical University, ; No. 16766 Jingshilu Rd., Jinan, 250014 Shandong China
                [3 ]GRID grid.460018.b, ISNI 0000 0004 1769 9639, Department of Education, , Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, ; No. 324 Jingwuweiqilu Rd., Jinan, 250021 Shandong China
                [4 ]GRID grid.27255.37, ISNI 0000 0004 1761 1174, Office of Medical Quality Control, Qilu Hospital, Cheeloo College of Medicine, , Shandong University, ; No. 107 Wenhuaxilu Rd., Jinan, 250012 Shandong China
                Article
                644
                10.1186/s12912-021-00644-w
                8262060
                34233678
                7863df3e-b904-4bc6-8d8f-40596cb8c29c
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 28 February 2021
                : 23 June 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Nursing
                nurse,workplace violence,fear of future workplace violence,influencing factors
                Nursing
                nurse, workplace violence, fear of future workplace violence, influencing factors

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