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      Japanese public health nurses classified based on empathy and secondary traumatic stress: variable-centered and person-centered approaches

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          Abstract

          Background

          Healthcare providers frequently help traumatized people and are regularly exposed to indirect trauma from their work, resulting in negative psychological responses, such as secondary traumatic stress. Empathy has been associated with patient’s quality of care and secondary traumatic stress among healthcare providers. However, the relationship between dispositional empathy and secondary traumatic stress has not been fully elucidated. This study used person- and variable-centered approaches to explore the nature of this relationship.

          Methods

          A total of 1,006 Japanese public health nurses working in the Tohoku region and Saitama prefecture completed questionnaires that included scales assessing dispositional empathy, secondary traumatic stress, and burnout. First, we examined predictors of secondary traumatic stress using multiple linear regression analysis. Then, we conducted a latent profile analysis to classify participants into unique groups based on four subscales of dispositional empathy (i.e., empathic concern, perspective taking, personal distress, fantasy) and secondary traumatic stress. Finally, we compared the mean values of the study variables across these groups.

          Results

          The multiple regression indicated that in those working in Saitama prefecture, lifetime traumatic experiences, work-related distress, and personal distress were positively related to secondary traumatic stress, but perceived support was negatively related to secondary traumatic stress. Latent profile analysis extracted four unique subgroups. Group 1 displayed the highest secondary traumatic stress levels. Group 2 was characterized by the highest level of empathic concern, personal distress, and fantasy and the lowest perspective taking. Group 3 had a moderate secondary traumatic stress level. Group 4 had the lowest secondary traumatic stress and personal distress scores. In these four groups, the burnout scale (exhaustion, cynicism, and professional efficacy) showed a pattern similar to the secondary traumatic stress scale.

          Conclusions

          Our person-centered approach showed that this sample of public health nurses could be classified into four unique groups based on their empathy and secondary traumatic stress scores. Although this group of public health nurses was not large, one group displayed high personal distress levels and high secondary traumatic stress levels. Further research is needed to determine effective interventions for this group.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12888-023-05198-6.

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          Most cited references38

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            MissForest--non-parametric missing value imputation for mixed-type data.

            Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set. Missing value imputation offers a solution to this problem. However, the majority of available imputation methods are restricted to one type of variable only: continuous or categorical. For mixed-type data, the different types are usually handled separately. Therefore, these methods ignore possible relations between variable types. We propose a non-parametric method which can cope with different types of variables simultaneously. We compare several state of the art methods for the imputation of missing values. We propose and evaluate an iterative imputation method (missForest) based on a random forest. By averaging over many unpruned classification or regression trees, random forest intrinsically constitutes a multiple imputation scheme. Using the built-in out-of-bag error estimates of random forest, we are able to estimate the imputation error without the need of a test set. Evaluation is performed on multiple datasets coming from a diverse selection of biological fields with artificially introduced missing values ranging from 10% to 30%. We show that missForest can successfully handle missing values, particularly in datasets including different types of variables. In our comparative study, missForest outperforms other methods of imputation especially in data settings where complex interactions and non-linear relations are suspected. The out-of-bag imputation error estimates of missForest prove to be adequate in all settings. Additionally, missForest exhibits attractive computational efficiency and can cope with high-dimensional data. The package missForest is freely available from http://stat.ethz.ch/CRAN/. stekhoven@stat.math.ethz.ch; buhlmann@stat.math.ethz.ch
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              Job burnout.

              Burnout is a prolonged response to chronic emotional and interpersonal stressors on the job, and is defined by the three dimensions of exhaustion, cynicism, and inefficacy. The past 25 years of research has established the complexity of the construct, and places the individual stress experience within a larger organizational context of people's relation to their work. Recently, the work on burnout has expanded internationally and has led to new conceptual models. The focus on engagement, the positive antithesis of burnout, promises to yield new perspectives on interventions to alleviate burnout. The social focus of burnout, the solid research basis concerning the syndrome, and its specific ties to the work domain make a distinct and valuable contribution to people's health and well-being.
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                Author and article information

                Contributors
                nagaminemasanori@gmail.com
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                2 October 2023
                2 October 2023
                2023
                : 23
                : 710
                Affiliations
                [1 ]Division of Behavioral Science, National Defense Medical College Research Institute, ( https://ror.org/02e4qbj88) 3-2 Namiki, Tokorozawa City, Saitama 359-8513 Japan
                [2 ]University of Human Environments, ( https://ror.org/029smmd76) Okazaki, Aichi Japan
                [3 ]Faculty of Nursing, Musashino University, ( https://ror.org/04bcbax71) Tokyo, Japan
                [4 ]Department of Psychology, National Defense Medical College, ( https://ror.org/02e4qbj88) Saitama, Japan
                [5 ]Division of Environmental Medicine, National Defense Medical College Research Institute, ( https://ror.org/02e4qbj88) Saitama, Japan
                [6 ]Department of Psychiatry, National Defense Medical College, ( https://ror.org/02e4qbj88) Saitama, Japan
                [7 ]Endowed Course for Health System Innovation, Keio University School of Medicine, ( https://ror.org/02kn6nx58) Tokyo, Japan
                [8 ]Department of Information Medicine, National Institute of Neuroscience, National Center of Neurology and Psychiatry, ( https://ror.org/0254bmq54) Tokyo, Japan
                [9 ]Department of Nursing, National Defense Medical College, ( https://ror.org/02e4qbj88) Saitama, Japan
                Article
                5198
                10.1186/s12888-023-05198-6
                10544614
                37784052
                9adbcc70-24ad-4dbf-a19f-95f20ccf4f13
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This 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
                : 11 July 2022
                : 15 September 2023
                Funding
                Funded by: Basic Research on Military Medicine from the National Defense Medical College
                Funded by: Japanese Society for the Promotion of Science KAKENHI
                Award ID: 19K03219
                Funded by: Advanced Research on Military Medicine from the National Defense Medical College
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Clinical Psychology & Psychiatry
                empathy,secondary traumatic stress,public health nurse,person-centered approach

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