Dataset Information

Investigation for the transcultural self-efficacy of nurses in Guizhou, China.

ABSTRACT:

Aim

As conflict caused by cultural diversity among patients in China continues to rise, hospitals are in urgent need for improvement of transcultural efficacy among nurses. This study aims to evaluate the transcultural self-efficacy of nurses working in the tertiary general hospital in Guizhou Province, an ethnic minority region in western China, and to identify whether nurses' demographic characteristics affect their transcultural self-efficacy.

Method

We used the Chinese version of the Transcultural Self-Efficacy Tool (TSET-CV) to survey 1,190 in-service nurses.

Results

Results showed that the level of transcultural self-efficacy of the nurses was generally moderate; few of the nurses had high or low transcultural self-efficacy. The nurses' transcultural self-efficacy was affected by demographic variables, including age, marital status, employment type, income, work experience, and whether or not they were head nurses. Having a stable work environment, a stable marriage, a good educational background, and a high-ranked professional title were associated with increased transcultural self-efficacy.

Conclusion

Nursing administrators in hospitals should offer continuing education on transcultural nursing according to nurses' demographic characteristics and the SEST scores.

SUBMITTER: Li J

PROVIDER: S-EPMC7355191 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Investigation for the transcultural self-efficacy of nurses in Guizhou, China.

Li Juan J Wu Bei B He Zhuang Z Liu Jiru J Xiao Rong R Luo Yong Y

International journal of nursing sciences 20200319 2

<h4>Aim</h4>As conflict caused by cultural diversity among patients in China continues to rise, hospitals are in urgent need for improvement of transcultural efficacy among nurses. This study aims to evaluate the transcultural self-efficacy of nurses working in the tertiary general hospital in Guizhou Province, an ethnic minority region in western China, and to identify whether nurses' demographic characteristics affect their transcultural self-efficacy.<h4>Method</h4>We used the Chinese version ...[more]

PMID: 32685616

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Project description:BackgroundOncology nurses are considered the group with the highest risk for moral distress, compassion fatigue and burnout. Mindful self-care may help oncology nurses improve their well-being and solve psychological problems. However, the investigation and in-depth analysis of mindful self-care among oncology nurses in China is lacking.ObjectivesTo identify heterogeneity groups of oncology nurses on mindful self-care ability and examine the sociodemographic correlation to these profiles.DesignCross-sectional descriptive study.ParticipantsThe study was carried out among oncology nurses in two affiliated comprehensive hospitals and one affiliated oncology hospital. A total of 839 oncology nurses were enrolled in this survey.MethodsFrom January to May 2023, a cross-sectional study was carried out among oncology nurses using convenient sampling. The subjects were given the brief Mindful Self-Care Scale (B-MSCS) and the General Demographic Information Questionnaire. Latent profile analysis using the Mplus 7.4 program was used to separate oncology nurses' mindful self-care into a variety of subgroups. The SPSS 25.0 statistical program was used to analyze the data. One-way ANOVA and the chi-square test were performed to compare the score of B-MSCS in each class and the difference in sociodemographic characteristics among the subgroups. Multinomial logistic regression was used to examine the influence of the sociodemographic variables on each class.ResultsThe total score of the B-MSCS was 76.40 ± 13.19. The support structure dimension had the highest score, with an average mean value of 3.60, and physical care had the lowest score at 2.57. The findings of the latent profile analysis showed that respondents were divided into three classes, moderate mindful self-care(51.2%), low-low mindful relaxation(14.8%), and high-high mindfulness self-awareness(34.0%). Across scale scores and dimensions, three groups demonstrated statistically significant differences (p < 0.05). Univariate analysis revealed significant differences between the three profiles in terms of professional title, position, concern about self-care, interest in mindfulness, and experience with meditation (p < 0.05). Profile membership was predicted by 3 factors, namely, self-care status, interest in mindfulness, and experience with meditation.ConclusionThe mindful self-care among oncology nurses can be categorized into three latent profiles: moderate mindful self-care, low-low mindful relaxation, and high-high mindfulness self-awareness. Multinomial logistic regression results indicated that whether oncology nurses concern about self-care, interest in mindfulness and have experience with meditation influenced different latent profiles. Nursing manager should develop targeted intervention based on the typological characteristics of the oncology nurses to improve their mindful self-care ability and mental health.

Dataset Information

Investigation for the transcultural self-efficacy of nurses in Guizhou, China.

Aim

Method

Results

Conclusion

Publications

Investigation for the transcultural self-efficacy of nurses in Guizhou, China.

Similar Datasets

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