UNASSIGNED: Nurses\' competencies are crucial for infectious disease prevention and control. We aimed to investigate competencies in responding to infectious disease outbreaks of nurses in primary healthcare institutions and identify their training needs.
UNASSIGNED: A cross-sectional study was conducted from June to September 2022, recruiting nurses from primary healthcare institutions across Sichuan Province. Their competencies and training needs were assessed using a modified Emergency Response Competency Scale for Infectious Diseases. Additionally, their sociodemographic characteristics and experience in infectious disease outbreak trainings were collected. Univariate analyses were used to compare competencies and training needs by participant characteristics. Multiple linear regression was conducted to identify determinants of their competencies.
UNASSIGNED: A total of 1,439 nurses from 44 primary healthcare institutions participated in this study. The overall competency and training needs had a median of 3.6 (IQR [3.1, 4.0]) and 4.0 (IQR [3.9, 4.7]), respectively. Age (β = -0.074, p = 0.005), experience in higher authority hospitals (β = 0.057, p = 0.035), infectious disease outbreak trainings attended within the last 5 years (β = 0.212, p < 0.001), and regions where the institutions located were determinants of the competencies.
UNASSIGNED: The competencies in responding to infectious disease outbreaks among nurses in primary healthcare institutions were at a moderate level, influenced by varied factors.

BACKGROUND: Childbirth pain is a physiological phenomenon during the delivery process, the intense pain of childbirth could bring harmful effects to pregnant women and their babies. Assessment of childbirth pain is the first step in childbirth pain intervention. Some pain assessment scales have shortcomings such as interfering in the birthing process and affecting pain perception during delivery, while the Rating Scale of Pain Expression during Childbirth (ESVADOPA) could be used as an auxiliary scale to compensate for these shortcomings. The purpose of this study was to introduce the ESVADOPA and adapt it among Chinese pregnant women to check on the psychometric properties of the translated version of ESVADOPA.
METHODS: A new translation model based on Brislin\'s classical back translation model was used to translate and cross-cultural adapt the ESVADOPA. During June 2021 and June 2022, pregnant women at Shandong Provincial Hospital Affiliated to Shandong First Medical University were invited. In the stage of translation and cross-culturally adaptation, 18 midwives and 30 pregnant women were invited to participate in the first round of pre-experiment. And in the second round of pre-experiment, 15 midwives and 20 pregnant women were invited to participate. The Chinese version of ESVADOPA was tested on a group of pregnant women (N = 487). Construct validity was evaluated by exploratory factor analysis, confirmatory factor analysis and criterion-related validity. Reliability was assessed by Cronbach\'s α coefficient, McDonald Omega, Spearman-Brown split-half reliability and Guttman split-half reliability.
RESULTS: The item statistical analysis and construct validity resulted in six items and one factor that explained 61.064% of the total variance. Confirmatory factor analysis showed that the data fit the one-factor structure. Criterion-related validity indicated that the scale is significantly and positively correlated with the Numeric Rating Scale (NRS). Cronbach\'s α coefficient, McDonald Omega, Spearman-Brown split-half reliability, and Guttman split-half reliability of the Chinese version of ESVADOPA were 0.868, 0.896, 0.845, 0.842, respectively.
CONCLUSIONS: The Chinese version of the ESVADOPA with good reliability and validity data could be used to assess the pain rating of pregnant women during childbirth without interfering in the birthing process.

BACKGROUND: As the global population continues to age, social realities such as advanced age, disability and living alone are coming to the fore, and the demand for medical care and health services for the elderly is increasing dramatically, especially in geriatrics. Given the important role geriatric nurses play in the diagnosis and treatment of diseases and rehabilitation of elderly patients, and due to the uniqueness and complexity of geriatric work, this requires geriatric nurses not only to have the competencies that are available in general nursing, but also to ensure that they have sufficient geriatric core competencies in order to effectively meet the needs of the patients and accelerate their recovery. Although previous studies have investigated the core competencies of nursing staff, there has been little research on geriatric nurses\' core geriatric nursing competencies and their predictors. The aim of this study was to investigate the current status of the geriatric nursing competency inventory (GNCI) among geriatric nurses using latent profiling, to identify potential subgroups and their population characteristics, and to explore the factors that influence the potential subgroups.
METHODS: From January to March 2024, 1,313 geriatric nurses in Hefei City were selected by stratified cluster sampling method and surveyed with general information questionnaire, geriatric nursing competency inventory, and occupational coping self-efficacy scale for nurses(OCSE-N). Potential subgroups of GNCI differences among geriatric nurses were identified by latent profile analysis (LPA). Multiple logistic regression analyses were used to explore the factors influencing the GNCI of geriatric nurses with different latent profiles.
RESULTS: Geriatric nurses\' OCSE-N was positively correlated with GNCI, and the GNCI score was 123.06(41.60), which indicated that geriatric nurses\' GNCI was at an intermediate level. The OCSE-N score was 35.44(7.34), which was at a relatively high level. There was heterogeneity in the GNCI of geriatric nurses, which was classified into three subgroups i.e., Low-competency group, Medium-competency group, High-competency group. The results of multiple logistic regression analyses showed that OCSE-N, title, whether or not they attended geriatric nurse specialist training, and specialist nurse status were predictors of GNCI among geriatric nurses (P < 0.05).
CONCLUSIONS: The GNCI categorical characteristics of geriatric nurses are obvious, and nursing managers should adopt targeted interventions according to the characteristics of nurses in different profiles to improve the overall quality of care.

UNASSIGNED: The Chronic Kidney Disease Management Centre (CKDMC) primarily focuses on developing a new system for early screening, standardised diagnosis, treatment, and the long-term follow-up management of patients with chronic kidney disease (CKD) to enhance CKD prevention and management. Nurses play a pivotal role in the comprehensive management of CKD, contributing considerably to the improvement of patient survival. Consequently, this study constructs an evaluation index system for nursing positions in the CKDMC, delineating the required competencies of nurses and providing a foundation for their targeted training.
UNASSIGNED: A literature review and semi-structured interviews were used to develop the competency evaluation index system for nursing positions at the CKDMC. The Delphi method, involving expert correspondence, was employed over two rounds of inquiry with 16 experts, focusing on screening, modifying, and refining the indicators at all levels.
UNASSIGNED: The response rates for the first and second rounds of the questionnaire were 100% and 93.8%, respectively, with expert authority coefficients of 0.73 for both rounds. The finalised competency evaluation index system includes 3 primary indicators (theoretical knowledge, practical skills, and professional attitude), 10 secondary indicators, and 44 tertiary indicators.
UNASSIGNED: The study successfully established a CKD specialist nurse competency evaluation index system comprising 3 primary, 10 secondary, and 44 tertiary indicators. The consensus among experts was high, rendering the results scientific, objective, and reliable. This system can serve as a basis for the training, selection, and competency evaluation of nursing professionals in CKDMCs.

BACKGROUND: COVID-19 has demonstrated the importance of competent staff with expertise in public health emergency preparedness and response in the civil aviation system. The civil aviation system is a critical sentinel and checkpoint to prevent imported cases and slow the spread of communicable diseases. Understanding the current competencies of staff to deal with public health emergencies will help government agencies develop targeted training and evidence-based policies to improve their public health preparedness and response capabilities.
METHODS: This cross-sectional pilot study was conducted from November 2022 to October 2023, involving 118 staff members from various positions within China\'s civil aviation system. A 59-item questionnaire was translated and developed according to a competency profile. Data were collected using the self-report questionnaire to measure the workforce\'s self-perceptions of knowledge and skills associated with public health emergency proficiency, categorized into (1) general competency, (2) preparedness competency, (3) response competency, and (4) recovery competency. KMO & Bartlett test and Cronbach\'s α reliability analysis were used to test the reliability and validity of the questionnaire. Descriptive statistics, independent sample T-test, ANOVA, and linear regression models were performed to analyze the competencies.
RESULTS: A total of 107 staff members from the aviation system were surveyed in this study. The KMO & Bartlett test, (KMO = 0.919, P < 0.001) and Cronbach\'s α coefficients (α = 0.985) for this questionnaire were acceptable. The results suggested that respondents scored a mean of 6.48 out of 9 for the single question. However, the staff needed to acquire more knowledge in investigating epidemic information (5.92) and case managing (5.91) in the response stage. Overall, males scored higher (409.05 ± 81.39) than females (367.99 ± 84.97), with scores in the medical department (445.67 ± 72.01) higher than management (387.00 ± 70.87) and general department (362.32 ± 86.93). Additionally, those with completely subjective evaluation (425.79 ± 88.10) scored higher than the general group (374.39 ± 79.91). To predict the total score, female medical workers were more likely to have lower scores (β = -34.5, P = 0.041). Compared with those in the medical department, the management workers (β = -65.54, P = 0.008) and general workers (β = -78.06, P < 0.001) were associated with a lower total score.
CONCLUSIONS: There was still a gap between the public health emergency competencies of the civil aviation system and the demand. Staff in China\'s civil aviation systems demonstrated overall competence in public health emergency preparedness and response. However, there was a need to enhance the accumulation of practical experience. Implementing effective training programs for public health emergencies was recommended to mitigate knowledge gaps. Meanwhile, regular training evaluations were also recommended to give comprehensive feedback on the value of the training programs.

BACKGROUND: Digital health plays a vital role in healthcare services. Governments in many countries, including China, are increasingly advocating for the appropriate use of digital technologies to address significant health system challenges. It is crucial to incorporate digital health education into the curriculum for future nurses to adapt to the changes in the digital medical system. This study aimed to evaluate the impact of an online Digital Health and Informatics Course in China on the knowledge and comprehension of key digital health and informatics topics, self-assessment of nursing informatics competencies, and satisfaction among undergraduate nursing students. The findings of this study provide recommendations for the design and implementation of future digital health education.
METHODS: This study employed a one-group, quasi-experimental mixed-methods design with pre- and post-assessments. The participants received digital health and informatics education through six three-hour online sessions in six interactive days, with online self-learning materials in between. An online quiz and focus group discussions pre- and post the course were designed to evaluate the knowledge and comprehension of key digital health and informatics topics. Also, a validated Chinese version of the Self-assessment of Nursing Informatics Competencies Scale was conducted pre- and post-course to assess self-assessment of nursing informatics competencies. Additionally, all students were invited to participate in an online survey with a performance-focused course evaluation form as well as focus group discussions to gather their feedback on the learning experience and their evaluations of the course.
RESULTS: A total of 24 undergraduate nursing students were enrolled in the course. All students completed all sessions of this course, resulting in an attendance rate of 100%. Additionally, all students completed both pre- and post-assessments. In terms of the knowledge and comprehension of key digital health and informatics topics, scores of the quiz on knowledge assessment improved from the pre-test [mean pretest score: 78.33 (SD 6.005)] to the post-test [mean post-test score: 83.17 (SD 4.86)] upon completion of the course (P < 0.001). Also, students acknowledged that the course enhanced their knowledge and comprehension of informatics and digital health, the benefits of (nursing) informatics in clinical practice, and the role of health care professionals in informatics and digital health. In terms of self-assessment of nursing informatics competencies, scores on nursing informatics attitudes demonstrated significant improvement (P < 0.001). Furthermore, students reported high satisfaction with various aspects of this course, including the opportunity to explore broad horizons in informatics for future careers, engaging in group discussions, and analyzing case studies on the use of informatics and digital health in clinical practice.
CONCLUSIONS: This Online Digital Health and Informatics education effectively improved undergraduate nursing students\' knowledge and comprehension of the key digital health and informatics topics, nursing informatics attitudes in the self-assessment of nursing informatics competency with high levels of satisfaction. In order to ensure that future education in digital health and informatics for nursing students is in line with the technological advancements in clinical settings, it is necessary to foster collaboration between medical school training and clinical practice. This collaboration should involve the use of clinical examples to illustrate advanced digital health applications and the inclusion of practical exercises on the use of digital health technology in clinical settings.

BACKGROUND: Sepsis is a life-threatening condition which may arise from infection in any organ system and requires early recognition and management. Healthcare professionals working in any specialty may need to manage patients with sepsis. Educating medical students about this condition may be an effective way to ensure all future doctors have sufficient ability to diagnose and treat septic patients. However, there is currently no consensus on what competencies medical students should achieve regarding sepsis recognition and treatment. This study aims to outline what sepsis-related competencies medical students should achieve by the end of their medical student training in both high or upper-middle incomes countries/regions and in low or lower-middle income countries/regions.
METHODS: Two separate panels from high or upper-middle income and low or lower-middle income countries/regions participated in a Delphi method to suggest and rank sepsis competencies for medical students. Each panel consisted of 13-18 key stakeholders of medical education and doctors in specialties where sepsis is a common problem (both specialists and trainees). Panelists came from all continents, except Antarctica.
RESULTS: The panels reached consensus on 38 essential sepsis competencies in low or lower-middle income countries/regions and 33 in high or upper-middle incomes countries/regions. These include competencies such as definition of sepsis and septic shock and urgency of antibiotic treatment. In the low or lower-middle income countries/regions group, consensus was also achieved for competencies ranked as very important, and was achieved in 4/5 competencies rated as moderately important. In the high or upper-middle incomes countries/regions group, consensus was achieved in 41/57 competencies rated as very important but only 6/11 competencies rated as moderately important.
CONCLUSIONS: Medical schools should consider developing curricula to address essential competencies, as a minimum, but also consider addressing competencies rated as very or moderately important.

BACKGROUND: The Chinese government has formulated a series of policies and strengthened training of general practitioners (GPs) to support their role as \"gatekeepers\" of residents\' health. This study aimed to explore the core competencies of Chinese GPs and develop a competency framework in line with China\'s actual conditions, which can provide a more scientific basis for the education, training, and evaluation of GPs.
METHODS: Literature analysis and behaviour event interviews were conducted to build the competency dictionary and the initial version of the competency model. Two rounds of Delphi were performed to gain consensus on the final model. The questionnaire survey was carried out in 10 provinces (municipalities, autonomous regions) of China, and GPs were invited to score the importance of each competency item. The total sample was randomly divided into two groups. One group was for exploratory factor analysis (EFA), and the other was for confirmatory factor analysis (CFA) to examine the scale\'s reliability and validity.
RESULTS: The dictionary of general practitioners\' competency including 107 competency items was constructed. After two rounds of Delphi, a consensus was reached on 60 competencies in 6 domains. A total of 1917 valid questionnaires were obtained in the nationwide survey. The average importance score of all second-level indicators is 4.53 ± 0.45. The Cronbach\'s α coefficient is 0.984. The results of the five factors extracted by EFA showing the 68.16% cumulative explained variance variation is considered to be consistent with the six dimensions obtained by Delphi after thorough discussion. The model fitness indexes obtained by CFA were acceptable (χ2/df = 4.909, CFI = 0.869, NFI = 0.841, RMSEA = 0.065). The values of the composite reliability (CR) of the six dimensions were all greater than 0.7 (0.943, 0.927, 0.937, 0.927, 0.943, 0.950), and the average of variance extracted (AVE) were all greater than 0.5 (0.562, 0.613, 0.649, 0.563, 0.626, 0.635). The results showed that the model has good reliability and validity.
CONCLUSIONS: A competency model for GPs suited to China has been developed, which may offer guidance for future training and medical licensing examinations of GPs.

Due to China\'s aging population, there is a high demand for elderly care that is further exacerbated by the shortage of well-trained caregivers and high turnover rates in nursing homes, urgently requiring enhanced work engagement of caregivers. This study used structural equation modeling based on the survey data of Chinese caregivers in nursing homes to explore the association among income-welfare satisfaction, competency, professional identity, family support and work engagement. Findings indicated that (1) income-welfare satisfaction, competency, and professional identity all enhanced caregivers\' work engagement, with professional identity being stronger. (2) Professional identity partially mediated the effects of income-welfare satisfaction and competency on work engagement, with higher values and shares of competency. (3) When family support was high, the positive effect of income-welfare satisfaction on professional identity was significant, and the mediating role of professional identity between income-welfare satisfaction and work engagement was moderated by family support.

UNASSIGNED: The public health burden of cardiomyopathies and competency in their management by health agencies in China are not well understood.
UNASSIGNED: This study adopted a multi-stage sampling method for hospital selection. In the first stage, nationwide tertiary hospital recruitment was performed. As a result, 88 hospitals with the consent of the director of cardiology and access to an established electronic medical records system, were recruited. In the second stage, we sampled 66 hospitals within each geographic-economic stratification through a random sampling process. Data on (1) the outpatient and inpatient visits for cardiomyopathies between 2017 and 2021 and (2) the competency in the management of patients with cardiomyopathies, were collected. The competency of a hospital to provide cardiomyopathy care was evaluated using a specifically devised scale.
UNASSIGNED: The outpatient and inpatient visits for cardiomyopathies increased between 2017 and 2021 by 38.6% and 33.0%, respectively. Most hospitals had basic facilities for cardiomyopathy assessment. However, access to more complex procedures was limited, and the integrated management pathway needs improvement. Only 4 (6.1%) of the 66 participating hospitals met the criteria for being designated as a comprehensive cardiomyopathy center, and only 29 (43.9%) could be classified as a primary cardiomyopathy center. There were significant variations in competency between hospitals with different administrative and economic levels.
UNASSIGNED: The health burden of cardiomyopathies has increased significantly between 2017 and 2021 in China. Although most tertiary hospitals in China can offer basic cardiomyopathy care, more advanced facilities are not yet universally available. Moreover, inconsistencies in the management of cardiomyopathies across hospitals due to differing administrative and economic levels warrants a review of the nation allocation of medical resources.
UNASSIGNED: This work was supported by the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2023-I2M-1-001) and the National High Level Hospital Clinical Research Funding (2022-GSP-GG-17).