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  1. Article ; Online: Relationships between resilience, empathy, compassion fatigue, work engagement and turnover intention in haemodialysis nurses: A cross-sectional study.

    Cao, Xiaoyi / Chen, Lin

    Journal of nursing management

    2021  Volume 29, Issue 5, Page(s) 1054–1063

    Abstract: Aim: To explore the relationships between resilience, empathy, compassion fatigue, work engagement and turnover intention in Chinese haemodialysis nurses.: Background: Although several studies explored nurses' turnover intention in multiple hospital ... ...

    Abstract Aim: To explore the relationships between resilience, empathy, compassion fatigue, work engagement and turnover intention in Chinese haemodialysis nurses.
    Background: Although several studies explored nurses' turnover intention in multiple hospital wards, fewer studies focused on turnover intention and its predictors among nurses in dialysis care.
    Methods: We conducted a cross-sectional study and adopted a two-stage sampling method to recruit 528 Chinese haemodialysis nurses. Multiple regression analysis was performed to explore the effects of resilience, empathy, compassion fatigue and work engagement on turnover intention.
    Results: The prevalence of high and exceptionally high levels of turnover intention was 59.1% and 9.0%. Compassion fatigue had the strongest significant effect on turnover intention (β = 0.276), followed by work engagement (β = -0.256) and resilience (β = 0.193). Haemodialysis nurses in tertiary hospitals reported significant higher levels of turnover intention than those in secondary hospitals (β = 0.127).
    Conclusions: Higher levels of compassion fatigue and lower levels of resilience and work engagement can result in higher turnover intention in haemodialysis nurses.
    Implications for nursing management: Strategies such as resilience training programme, mindfulness-based intervention and establishing a positive work environment may be effective methods to improve resilience, reduce compassion fatigue, promote work engagement and decrease turnover intention.
    Language English
    Publishing date 2021-01-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 1162321-4
    ISSN 1365-2834 ; 0966-0429
    ISSN (online) 1365-2834
    ISSN 0966-0429
    DOI 10.1111/jonm.13243
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  2. Article ; Online: The impact of resilience on turnover intention in dialysis nurses: The mediating effects of work engagement and compassion fatigue.

    Cao, Xiaoyi / Chen, Lin

    Japan journal of nursing science : JJNS

    2021  , Page(s) e12414

    Abstract: Aim: To describe the levels of turnover intention, and to explore the mediating effects of work engagement and compassion fatigue on the relationship between resilience and turnover intention in dialysis nurses.: Methods: A descriptive cross- ... ...

    Abstract Aim: To describe the levels of turnover intention, and to explore the mediating effects of work engagement and compassion fatigue on the relationship between resilience and turnover intention in dialysis nurses.
    Methods: A descriptive cross-sectional study was conducted to recruit 496 dialysis nurses in 25 tertiary hospitals in Sichuan province, China. Structural equation modeling technique was used to examine the mediating roles of work engagement and compassion fatigue on the association between resilience and turnover intention.
    Results: The prevalence of high and exceptionally high levels of turnover intention in dialysis nurses were 56.8% (282 nurses) and 8.7% (43 nurses), respectively. Resilience was a significant and direct contributor to work engagement (standardized direct effect = 0.62, p < .001) and compassion fatigue (standardized direct effect = -0.35, p < .001), respectively. However, resilience had no direct and significant effect on turnover intention (standardized direct effect = 0.15, p > .05). Work engagement and compassion fatigue had direct and significant effects on turnover intention (standardized direct effect = -0.40, p < .001; standard direct effect = 0.31, p < .001). Resilience affected turnover intention indirectly and significantly via the whole mediating effects of work engagement and compassion fatigue (standardized indirect effect = -0.36, p < .001).
    Conclusion: Higher resilience leads to lower turnover intention via enhancing work engagement and reducing compassion fatigue in dialysis nurses. Nursing policies should be established to promote resilience training, enhance work engagement and reduce compassion fatigue in order to alleviate turnover intention in dialysis nurses.
    Language English
    Publishing date 2021-03-07
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2156618-5
    ISSN 1742-7924 ; 1742-7932
    ISSN (online) 1742-7924
    ISSN 1742-7932
    DOI 10.1111/jjns.12414
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  3. Article ; Online: Associations among professional quality of life dimensions, burnout, nursing practice environment, and turnover intention in newly graduated nurses.

    Gong, Shu / Li, Jin / Tang, Xiangdong / Cao, Xiaoyi

    Worldviews on evidence-based nursing

    2022  Volume 19, Issue 2, Page(s) 138–148

    Abstract: Background: Professional quality of life affects nurses' well-being and the quality of care. However, little attention is paid to the relationships among professional quality of life dimensions, burnout, nursing practice environment, and intention to ... ...

    Abstract Background: Professional quality of life affects nurses' well-being and the quality of care. However, little attention is paid to the relationships among professional quality of life dimensions, burnout, nursing practice environment, and intention to leave this job in newly graduated nurses.
    Aims: To assess the levels of professional quality of life dimensions and turnover intention, to examine the predictors for turnover intention, and to explore the mediating roles of professional quality of life dimensions on the associations between these predictors and turnover intention in Chinese newly graduated nurses.
    Methods: This was a cross-sectional study with 315 newly graduated nurses selected from five tertiary hospitals and five secondary hospitals in Sichuan province, China. Multiple regression analysis was used to examine the effects of demographic characteristics and work-related factors on intention to leave this job. Structural equation modeling technique was performed to explore the mediating effect of each domain of professional quality of life on the relationships between the predictors and turnover intention.
    Results: The prevalence of average levels of burnout, secondary traumatic stress, and compassion satisfaction was 43.2%, 57.1%, and 81.3%, respectively. Moreover, 43.8% and 0.6% of the participants reported high and exceptionally high intention to leave this job. Nursing practice environment, social support, and empathy indirectly and significantly affected turnover intention via the mediating roles of burnout and compassion satisfaction, respectively. However, no significant mediating effect of secondary traumatic stress was found between these predictors and turnover intention.
    Linking evidence to action: Perceptions of greater nursing practice environment, social support, and empathy result in lower turnover intention via reducing burnout and facilitating compassion satisfaction. Strategies such as developing a supportive work and family environment, and cultivating empathic capacity can be effective methods to mitigate against intention to leave this job in newly graduated nurses.
    MeSH term(s) Burnout, Professional ; Compassion Fatigue ; Cross-Sectional Studies ; Humans ; Intention ; Job Satisfaction ; Nursing Staff, Hospital ; Personnel Turnover ; Quality of Life ; Surveys and Questionnaires
    Language English
    Publishing date 2022-03-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2401967-7
    ISSN 1741-6787 ; 1545-102X
    ISSN (online) 1741-6787
    ISSN 1545-102X
    DOI 10.1111/wvn.12568
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  4. Article: The relationships of both transition shock, empathy, resilience and coping strategies with professional quality of life in newly graduated nurses.

    Cao, Xiaoyi / Li, Jin / Gong, Shu

    BMC nursing

    2021  Volume 20, Issue 1, Page(s) 65

    Abstract: Background: Data on professional quality of life in newly graduated nurses are scarce. This study aimed to describe the levels of professional quality of life, and to explore the relationships of transition shock, empathy, resilience and coping ... ...

    Abstract Background: Data on professional quality of life in newly graduated nurses are scarce. This study aimed to describe the levels of professional quality of life, and to explore the relationships of transition shock, empathy, resilience and coping strategies with professional quality of life in newly graduated nurses.
    Methods: This was a cross-sectional study, which used a two-stage sampling method to recruit 393 newly graduated nurses in Sichuan province of China. Multiple regression analysis was used to explore the effects of transition shock, empathy, resilience and coping strategies on professional quality of life. Data were collected using standardized scales.
    Results: The prevalence of average levels of compassion satisfaction, burnout and secondary traumatic stress in newly graduated nurses were 80.2, 38.2 and 57.5%, respectively. Transition shock was a significant negative predictor, and empathy, resilience and adaptive coping were significant positive predictors for compassion satisfaction. Transition shock and passive coping were significant positive predictors, and empathy was a significant negative predictor for burnout and secondary traumatic stress. Resilience and adaptive coping contributed to burnout significantly and negatively.
    Conclusion: Higher transition shock and lower empathy cause lower compassion satisfaction and higher compassion fatigue. More resilience and adaptive coping cause more compassion satisfaction and less burnout. More passive coping contributes to higher compassion fatigue. Strategies such as transition or preceptorship programmes, and empathy, resilience and coping training are effective methods to reduce transition shock, facilitate empathy, resilience and coping, and consequently, enhance professional quality of life in newly graduated nurses.
    Language English
    Publishing date 2021-04-23
    Publishing country England
    Document type Journal Article
    ISSN 1472-6955
    ISSN 1472-6955
    DOI 10.1186/s12912-021-00589-0
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  5. Article ; Online: Effects of resilience, social support, and work environment on turnover intention in newly graduated nurses: The mediating role of transition shock.

    Cao, Xiaoyi / Li, Jin / Gong, Shu

    Journal of nursing management

    2021  Volume 29, Issue 8, Page(s) 2585–2593

    Abstract: Aim: The aim of this work was to examine the mediating role of transition shock on the relationships between resilience, social support, work environment, and turnover intention in newly graduated nurses.: Background: Reports assessing the ... ...

    Abstract Aim: The aim of this work was to examine the mediating role of transition shock on the relationships between resilience, social support, work environment, and turnover intention in newly graduated nurses.
    Background: Reports assessing the associations between nurses' resilience, social support, work environment, and turnover intention, both directly and through the mediating effect of transition shock, are scarce.
    Methods: This was a cross-sectional study, which recruited 361 Chinese newly graduated nurses with <1 year of work experience.
    Results: Resilience, social support, and work environment directly and significantly predicted transition shock (direct effect -0.158 to -0.350, p < .01). Resilience, work environment, and transition shock directly and significantly affected turnover intention (direct effect -0.118 to -0.257, p < .05). Transition shock mediated the relationships between resilience, social support, work environment, and turnover intention indirectly and significantly (indirect effect -0.019 to -0.041, p < .05).
    Conclusions: The results suggest that nurse managers could enhance resilience and social support and establish a positive work environment to reduce transition shock and turnover intention.
    Implications for nursing management: Nurse managers could continuously provide resilience training and develop a supportive workplace climate for newly graduated nurses to facilitate smooth transition into clinical practice, could alleviate their transition shock and turnover intention.
    MeSH term(s) Cross-Sectional Studies ; Humans ; Intention ; Job Satisfaction ; Nurse Administrators ; Nurses ; Nursing Staff, Hospital ; Personnel Turnover ; Social Support ; Surveys and Questionnaires ; Workplace
    Language English
    Publishing date 2021-07-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1162321-4
    ISSN 1365-2834 ; 0966-0429
    ISSN (online) 1365-2834
    ISSN 0966-0429
    DOI 10.1111/jonm.13418
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  6. Article ; Online: The impact of empathy on work engagement in hemodialysis nurses: The mediating role of resilience.

    Cao, Xiaoyi / Chen, Lin

    Japan journal of nursing science : JJNS

    2019  Volume 17, Issue 1, Page(s) e12284

    Abstract: Aim: To examine the reciprocal associations between empathy, resilience and work engagement, and to explore the mediating effect of resilience on the empathy and work engagement relationship among hemodialysis nurses in China.: Methods: This was a ... ...

    Abstract Aim: To examine the reciprocal associations between empathy, resilience and work engagement, and to explore the mediating effect of resilience on the empathy and work engagement relationship among hemodialysis nurses in China.
    Methods: This was a cross-sectional quantitative study. A convenience sampling was used to investigate 582 hemodialysis nurses in Chengdu, China. Structural equation modeling technique was conducted to analyze the mediating effect of resilience on the association between empathy and work engagement.
    Results: Empathy and resilience were direct, positive and significant predictors for work engagement. Empathy also had a direct, positive and significant predictive effect on resilience. Empathy indirectly and significantly affected work engagement via the partial mediating effect of resilience.
    Conclusion: Higher empathic ability may lead to greater work engagement by enhancing resilience. Attention should be paid to the development of empathic capacity and resilience to foster work engagement in hemodialysis nurses.
    MeSH term(s) Adult ; China ; Cross-Sectional Studies ; Empathy ; Female ; Humans ; Male ; Middle Aged ; Renal Dialysis ; Resilience, Psychological ; Surveys and Questionnaires ; Work Engagement ; Young Adult
    Language English
    Publishing date 2019-07-29
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2156618-5
    ISSN 1742-7924 ; 1742-7932
    ISSN (online) 1742-7924
    ISSN 1742-7932
    DOI 10.1111/jjns.12284
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  7. Article: Multidimensional soil salinity data mining and evaluation from different satellites

    Cao, Xiaoyi / Chen, Wenqian / Ge, Xiangyu / Chen, Xiangyue / Wang, Jingzhe / Ding, Jianli

    Science of the total environment. 2022 Nov. 10, v. 846

    2022  

    Abstract: Soil salinization, a common land degradation mode, restricts the ecological environment and is a global issue due to climate change. Accurately, quickly and effectively monitoring soil salinity is critical for governmental institutions that develop ... ...

    Abstract Soil salinization, a common land degradation mode, restricts the ecological environment and is a global issue due to climate change. Accurately, quickly and effectively monitoring soil salinity is critical for governmental institutions that develop hazard prevention and mitigation strategies. Remote sensing (RS) technology provides a viable alternative to traditional field work due to its large area coverage, abundant spectral information and nearly constant observations. Key issues in RS-based soil salinity monitoring include the lack of both data-mining techniques for obtaining spectral band information and comprehensive considerations of synergies among different spectra. The main objective of this study was to provide in-depth explorations of data mining and integration algorithms from different satellites to multidimensionally evaluate soil salinity models. The Ebinur Lake Wetland Reserve (Xinjiang Province, China) was selected as a case study. First, ground-measured visible and near infrared (VIS-NIR) spectral data were combined with the RS band to simulate Landsat 8 (L8) and Sentinel 2 (S2) and 3 (S3) data. Second, one-dimensional RS bands and 15 soil salinity and vegetation indices were selected, and 15 spectral data transformations (reciprocal, differential, absorbance, etc.) were obtained. Two- and three-dimensional spectral indices were constructed, and the response relationships between different spectral indices and soil electrical conductivity (EC) were comprehensively explored. Finally, an integrated multidimensional algorithm was used to estimate soil salinity in high-performance models for the three satellites. The results showed that all data-mining-based model combinations performed well for all satellites (R² > 0.80). However, with multidimensional model combinations, S3 presented the highest predictive capability (R² = 0.89, RMSE = 2.57 mS·cm⁻¹, RPD = 2.05), followed by S2 (R² = 0.86, RMSE = 2.71 mS·cm⁻¹, RPD = 1.90) and L8 (R² = 0.85, RMSE = 2.84 mS·cm⁻¹, RPD = 1.87). Therefore, data mining with integration algorithms in model combinations performs significantly better than previous models and could be considered a promising method for obtaining improved results from soil salinity susceptibility models in similar cases.
    Keywords Landsat ; absorbance ; algorithms ; case studies ; climate change ; common lands ; environment ; lakes ; land degradation ; soil electrical conductivity ; soil salinity ; soil salinization ; spectral analysis ; vegetation ; wetlands ; China
    Language English
    Dates of publication 2022-1110
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.157416
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Effect of time pressure on the burnout of home-visiting nurses: The moderating role of relational coordination with nursing managers.

    Cao, Xiaoyi / Naruse, Takashi

    Japan journal of nursing science : JJNS

    2018  Volume 16, Issue 2, Page(s) 221–231

    Abstract: Aim: To examine the main effects of time pressure and relational coordination with nursing managers on burnout and to further analyze the moderating role of relational coordination with nursing managers on the association between time pressure and ... ...

    Abstract Aim: To examine the main effects of time pressure and relational coordination with nursing managers on burnout and to further analyze the moderating role of relational coordination with nursing managers on the association between time pressure and burnout among home-visiting nurses in Japan.
    Methods: This was a cross-sectional, quantitative study comprising 93 home-visiting nurses in Japan. A hierarchical moderated regression analysis with mean-centered predictor variables was used to explore the main effects of time pressure and relational coordination with nursing managers on burnout and the moderating effect of relational coordination with nursing managers on the time pressure and burnout relationship.
    Results: Time pressure was a significant positive predictor for emotional exhaustion and depersonalization, respectively. Relational coordination with the nursing managers was significantly and negatively related to depersonalization; however, its main effect on exhaustion was non-significant. Significant interaction effects of time pressure and relational coordination with the nursing managers on exhaustion and depersonalization also were identified. Time pressure was a significant positive contributor to exhaustion and depersonalization when the home-visiting nurses reported low relational coordination with the nursing managers.
    Conclusion: Relational coordination with nursing managers is a critical resource for dealing with high time pressure. Strategies, such as establishing a skill-mix program to alleviate nurses' time pressure and creating a supportive work environment to facilitate relational coordination with nursing managers, might be effective ways to prevent burnout, as well as management interventions among home-visiting nurses.
    MeSH term(s) Adult ; Burnout, Professional ; Cross-Sectional Studies ; Emotions ; Female ; House Calls ; Humans ; Interprofessional Relations ; Japan ; Male ; Middle Aged ; Nurse Administrators ; Nurses, Community Health/psychology ; Surveys and Questionnaires ; Time Factors ; Workplace
    Language English
    Publishing date 2018-09-10
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2156618-5
    ISSN 1742-7924 ; 1742-7932
    ISSN (online) 1742-7924
    ISSN 1742-7932
    DOI 10.1111/jjns.12233
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  9. Article ; Online: Prevalence and predictors for compassion fatigue and compassion satisfaction in nursing students during clinical placement.

    Cao, Xiaoyi / Wang, Lei / Wei, Shenyi / Li, Jin / Gong, Shu

    Nurse education in practice

    2021  Volume 51, Page(s) 102999

    Abstract: Background: Compassion fatigue and compassion satisfaction affect clients' care satisfaction and nurses' well-being. However, little attention is paid to compassion fatigue and satisfaction in nursing students during clinical placement.: Objectives: ... ...

    Abstract Background: Compassion fatigue and compassion satisfaction affect clients' care satisfaction and nurses' well-being. However, little attention is paid to compassion fatigue and satisfaction in nursing students during clinical placement.
    Objectives: To explore the relationships between social support, empathy, resilience, coping strategies, and compassion fatigue and satisfaction in nursing students during clinical placement in China.
    Design: A cross-sectional study was performed from May 1 to May 31, 2020.
    Settings: and participants: A total of 972 nursing students from 15 universities or colleges in Sichuan province, who received clinical training for at least 10 months were investigated.
    Methods: The instruments included Perceived Social Support Scale, Jefferson Scale of Empathy, Connor-Davidson Resilience Scale, Simple Coping Style Questionnaire and Professional Quality of Life Scale. Descriptive, correlation and regression analyses of these variables were conducted.
    Results: The prevalence of low, moderate and high risk of burnout were 1.3%, 97.8% and 0.9%, respectively. The prevalence of low, average and high levels of secondary traumatic stress were 43.6%, 55.3% and 1.1%. Moreover, 9 (0.9%), 316 (32.5%) and 647 (66.6%) respondents reported low, moderate and high levels of compassion satisfaction. Cognitive empathy and resilience were significant protectors from compassion fatigue, and significant contributors to compassion satisfaction. Less compassionate care and more passive coping were significant risk factors for compassion fatigue. Adaptive coping predicted burnout significantly and negatively, and predicted compassion satisfaction significantly and positively. Family support was a significant contributor to compassion satisfaction.
    Conclusion: It is essential to develop strategies to increase empathy and resilience, avoid passive coping and enhance adaptive coping, and improve family support in order to reduce compassion fatigue and facilitate compassion satisfaction in nursing students during clinical clerkship.
    MeSH term(s) Burnout, Professional/epidemiology ; China/epidemiology ; Compassion Fatigue/epidemiology ; Cross-Sectional Studies ; Empathy ; Humans ; Job Satisfaction ; Personal Satisfaction ; Prevalence ; Quality of Life ; Students, Nursing ; Surveys and Questionnaires
    Language English
    Publishing date 2021-02-19
    Publishing country Scotland
    Document type Journal Article
    ZDB-ID 2058575-5
    ISSN 1873-5223 ; 1471-5953
    ISSN (online) 1873-5223
    ISSN 1471-5953
    DOI 10.1016/j.nepr.2021.102999
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    Zs.A 5492: Show issues Location:
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  10. Article ; Online: Multidimensional soil salinity data mining and evaluation from different satellites.

    Cao, Xiaoyi / Chen, Wenqian / Ge, Xiangyu / Chen, Xiangyue / Wang, Jingzhe / Ding, Jianli

    The Science of the total environment

    2022  Volume 846, Page(s) 157416

    Abstract: Soil salinization, a common land degradation mode, restricts the ecological environment and is a global issue due to climate change. Accurately, quickly and effectively monitoring soil salinity is critical for governmental institutions that develop ... ...

    Abstract Soil salinization, a common land degradation mode, restricts the ecological environment and is a global issue due to climate change. Accurately, quickly and effectively monitoring soil salinity is critical for governmental institutions that develop hazard prevention and mitigation strategies. Remote sensing (RS) technology provides a viable alternative to traditional field work due to its large area coverage, abundant spectral information and nearly constant observations. Key issues in RS-based soil salinity monitoring include the lack of both data-mining techniques for obtaining spectral band information and comprehensive considerations of synergies among different spectra. The main objective of this study was to provide in-depth explorations of data mining and integration algorithms from different satellites to multidimensionally evaluate soil salinity models. The Ebinur Lake Wetland Reserve (Xinjiang Province, China) was selected as a case study. First, ground-measured visible and near infrared (VIS-NIR) spectral data were combined with the RS band to simulate Landsat 8 (L8) and Sentinel 2 (S2) and 3 (S3) data. Second, one-dimensional RS bands and 15 soil salinity and vegetation indices were selected, and 15 spectral data transformations (reciprocal, differential, absorbance, etc.) were obtained. Two- and three-dimensional spectral indices were constructed, and the response relationships between different spectral indices and soil electrical conductivity (EC) were comprehensively explored. Finally, an integrated multidimensional algorithm was used to estimate soil salinity in high-performance models for the three satellites. The results showed that all data-mining-based model combinations performed well for all satellites (R
    MeSH term(s) Data Mining ; Environmental Monitoring/methods ; Remote Sensing Technology ; Salinity ; Soil
    Chemical Substances Soil
    Language English
    Publishing date 2022-07-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.157416
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