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BACKGROUND: With social transformation, rapid economic development and deepening awareness of psychological health in China, people's demand for psychological health services is becoming increasingly urgent. A key challenge for Chinese medical organizations is to train enough qualified psychological care nurses. A greater understanding of psychological care competences (PCC) can help in clinical nurse selection, training, and assessment. OBJECTIVE: To develop a PCC framework for Chinese nurses and obtain a consensus on the framework among experts. METHODS: A descriptive mixed methods study was designed consisting of a literature review and semi-structured interviews followed by three Delphi rounds. The experts (n = 16) involved were nurses, nursing managers and educators from nine Chinese provinces with a specific interest in psychological care. Descriptive statistics assisted in data analysis. RESULTS: Using the Iceberg Model as a theoretical foundation, five main dimensions and associated subdomains were integrated from 39 chosen articles. The semi-structured interviews with 24 nursing managers and nurses confirmed all of the themes from the literature review while generating new themes, both of which were incorporated into the initial PCC framework. After three Delphi rounds, the experts reached consensus on the PCC framework, including five domains (knowledge, skills, professional ethics, personal traits, internal motivations) and 22 subdomains with connotations. The response rate (RR) values for the three rounds of consultation were 80.00%, 87.50% and 92.86%, the composite reliability (Cr) values were 0.89-0.90, and the Kendall coordination coefficients were 0.155-0.200 (P < 0.05). CONCLUSIONS: On the basis of the Iceberg Model, literature review and qualitative research methods along with Delphi technique were used to develop a scientific and systematic PCC framework. The research methods were feasible and the results were reliable, thereby providing a basis for adopting this framework into nursing education. A formal assessment tool should be developed to test the PCC of nurses in clinical practice.
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Objective: To investigate the current status of sleep quality and influencing factors of clinical nurses in infectious disease hospitals, and to provide basis and reference for improving their sleep status and providing psychological support. Methods: Using convenience sampling method, clinical nurses from a tertiary hospital for infectious diseases were selected as the survey subjects in September 2021. General information questionnaire, Pittsburgh Sleep Quality Questionnaire (PSQI), Generalized Anxiety Disorder Scale (GAD-7), Depression Screening Scale (PHQ-9) were used for questionnaire surveys, and multiple linear regression was used to analyze the impact of decreased sleep quality in clinical nurses factor. Results: A total of 460 questionnaires were returned, of which 442 were valid, effective rate is 96.09%. The Pittsburgh sleep quality index (PSQI) score of 442 clinical nurses was 7.07 ± 2.14, of which 60 (13.57%) had sleep disorders; the Generalized Anxiety Disorder Scale (GAD-7) score was 4.77 ± 3.50, of which 182 (41.18%) had varying degrees of anxiety; The score of PHQ-9 was 5.95 ± 3.79, of which 187 (42.31%) had different degrees of depressive symptoms. The stepwise multiple linear regression analysis which involved PHQ-9 and GAD-7 scores showed that: both the PHQ-9 score and the GAD-7 score were positively correlated with the sleep quality score, and the PHQ-9 score increased every time 1 point, sleep quality score increased by 0.239 points; GAD-7 score increased by 1 point, sleep quality score increased by 0.150 points. The overall model test (F = 109.760, P < 0.001) regression model is meaningful. Conclusion: Decreased sleep quality is common among clinical nurses in infectious disease hospitals, and the sleep status of nurses is positively correlated with anxiety and depression. Nursing managers pay attention to sleep quality of clinical nurses in infectious disease hospitals and carry out effective interventions to improve the sleep quality of nurses.