International Journal of Nursing Sciences最新文献

Objective

Methods

Results

Conclusion

Objective

Methods

Results

Conclusions

Objectives

Methods

Results

Conclusions

Objective

Methods

Results

Conclusion

This paper reports the gathered information from an international environmental scan of university-baseline information for the creation of a Nursing Knowledge Network. An online environment scan of organizational context (February to October 2021) explored the identification of research areas, existing resources, expected benefits, innovations in teaching research, barriers to knowledge dissemination, and prospective contributions of the Network. Target informants were 200 nursing faculty affiliated with 63 universities located in 13 countries, as well as nursing networks in the Ibero-American context. One informant per university was asked to respond to the questionnaire. The participation rate was nearly 70% (42/63). The informants’ universities per country included Brazil (n = 21), Canada (n = 4), Portugal and Spain (n = 3 each), Colombia, Mexico, Peru and USA (n = 2 each), Chile, Italy and Paraguay (n = 1 each). Nursing faculty provided rich information and shared knowledge confirming a strong commitment to global co-creation of innovations and research partnership capacities through collaboration, cooperation, and knowledge exchange among nursing higher education institutions. Seldom researched areas are a potential focus for the Network to generate appropriate evidence to inform local scientific practices. The gathered information will inform further review of nursing and governmental policies and programs related to the application and dissemination of nursing evidence across local, regional, and global levels.

Objective

This study aimed to investigate the relationships between three different nutritional indicators and poststroke depression (PSD) and to analyze the performance of these nutritional indicators in predicting the occurrence of PSD in older adults with ischemic stroke to provide a reference for nurses to identify high-risk patients with PSD early, optimize stroke management, and improve patient prognosis.

Methods

This cohort study prospectively included 239 older adults with ischemic stroke in the Department of Neurology of a hospital in Shenzhen from September 2022 to May 2023. The nutritional status of the patients were evaluated by laboratory indicators, the Mini Nutritional Assessment Short Form (MNA-SF), and the Geriatric Nutrition Risk Index (GNRI). The Hospital Anxiety and Depression Scale-Depression (HADS-D) was used to evaluate PSD. A self-designed questionnaire was used to collect demographic information and disease-related information. Binary logistic regression analysis was performed to analyze factors related to PSD, and receiver operating characteristic curve analysis was also used to compare the performance of these nutritional indicators.

Results

A total of 239 older adults with ischemic stroke were included; the mean age was 71.10 ± 7.41 years, and 66.5% (159/239) were males. The incidence of PSD was 32.6% (78/239). The incidence of PSD in the low-value group was significantly greater than that in the high-value group according to the different nutritional indices, and the difference was statistically significant (all P < 0.05). Binary logistic regression analysis revealed that the albumin (ALB) level (OR = 0.681; 95% CI, 0.508–0.913; P = 0.010), GNRI score (OR = 1.238; 95% CI, 1.034–1.483; P = 0.020), and MNA-SF score (OR = 0.708; 95% CI, 0.614–0.815; P < 0.001) were influencing factors for PSD in this population (P < 0.05). Combined with the ALB, GNRI, and MNA-SF, the area under the ROC curve for predicting the incidence of PSD in older adults with ischemic stroke was the largest and had a high degree of differentiation (AUC, 0.738; sensitivity, 75.6%; specificity, 60.9%).

Conclusion

The nutritional indices ALB, GNRI, and MNA-SF can be used as auxiliary tools to predict the risk of PSD in older adults with ischemic stroke malnutrition. Further validation by nurses in a more diverse patient population is needed to demonstrate the accuracy of the predictions.

Objective

As aging in the Chinese population increases, the hospitalization rates of patients with dementia have also risen. Research on the difficulties of nurses who care for patients with dementia in Chinese general hospitals is limited. This study aimed to develop a scale to measure the difficulties nurses face in nursing patients with dementia in Chinese general hospitals and to verify its reliability and validity.

Methods

Guided by the biopsychosocial theory, an initial scale was created through a literature review, qualitative interviews, and expert consultation. A web-based survey for psychometric testing was conducted with 394 nurses from 11 general hospitals during September to November 2021. Validity was verified using content validity, exploratory factor analysis, the known-groups method, and concurrent validity. Cronbach’s α coefficient and split-half reliability were used to assess reliability.

Results

The Item-level Content Validity Index was 0.833–1.000. The Scale-level Content Validity Index was 0.929. Twenty-one items with four factors were extracted from the item analysis and exploratory factor analysis. According to the known-groups method, the difficulty of the experienced group and the group with training experience was significantly lower than that of the less experienced group and the group without training experience. Based on external standards, the correlation coefficient was 0.387 with the Nursing Job Stress Scale and −0.239 with the Dementia Care Attitude Scale. Cronbach’s α coefficient for each factor ranged from 0.889 to 0.905, and the total was 0.959. The split-half reliability for each factor ranged from 0.814 to 0.894, and the total was 0.911.

Conclusion

This study discovered a four-factor structure related to the difficulty scale of dementia nursing practice, and the scale’s reliability and validity were confirmed. The scale can be utilized to assess the difficulty of dementia nursing practice in general hospitals and may be employed in future research to improve dementia nursing practices.

Objective

This study aimed to investigate the factors influencing nurses’ ability to respond to public health emergencies and understand the relationship between nurses’ ability to respond to emergencies and workplace resilience.

Methods

A cross-sectional study of 361 nurses from military hospitals was conducted from January 18 to September 6, 2022, using an online survey. The Infectious Diseases Emergency Response Capacity (IDERC) questionnaire and the Workplace Resilience Scale (WRS) were utilized, and sociodemographic information was also collected. Data were analyzed using descriptive statistics and frequency analysis. Differences between groups were identified by one-way analysis of variance, and linear regression was used to analyze the main factors influencing the infectious emergency response capacity.

Results

The average infectious emergency response capacity score on the IDERC questionnaire and workplace resilience, measured by WRS, were 4.01 (SD = 0.76) and 3.85 (SD = 0.71), respectively, on a scale of 1–5, indicating high performance. Factors such as degree of education, nurses’ service years and experience in epidemic prevention participation were found to be the main influencing factors of the score of IDERC. The level of workplace resilience showed a positive correlation with the capacity to respond to infectious disease, the score of WRS and the service year accounted for 63.6% of the variance in emergency response capabilities.

Conclusion

The results indicate an urgent need to strengthen the training of nurses with lower degree of education, shorter service years, no prior work, or no experience of epidemic prevention participation, and hospitals should also prioritize improving nurses’ workplace resilience through targeted interventions, enhancing their abilities in infectious disease prevention, preparation, first aid, and subsequent critical patient care.

Objectives

This narrative review aimed to explore the impact of checklists and error reporting systems on hospital patient safety and medical errors.

Methods

A systematic search of academic databases from 2013 to 2023 was conducted, and peer-reviewed studies meeting inclusion criteria were assessed for methodological rigor. The review highlights evidence supporting the efficacy of checklists in reducing medication errors, surgical complications, and other adverse events. Error reporting systems foster transparency, encouraging professionals to report incidents and identify systemic vulnerabilities.

Results

Checklists and error reporting systems are interconnected. Interprofessional collaboration is emphasized in checklist implementation. In this review, limitations arise due to the different methodologies used in the articles and potential publication bias. In addition, language restrictions may exclude valuable non-English research. While positive impacts are evident, success depends on organizational culture and resources.

Conclusions

This review contributes to patient safety knowledge by examining the relevant literature, emphasizing the importance of interventions, and calling for further research into their effectiveness across diverse healthcare and cultural settings. Understanding these dynamics is crucial for healthcare providers to optimize patient safety outcomes.

Objective

This study aimed to explore the determinants influencing training transfer and evaluate how those factors change over time among nurses who graduated from clinical nurse specialist training to provide a theoretical basis for improving the training transfer of clinical nurse specialists (CNSs).

Methods

A quantitative longitudinal survey with four rounds of data collection was utilized to measure the influencing aspects of training transfer from June 2018 to December 2019. A total of 46 new CNSs participated in this study, including 30 and 16 nurses receiving training programs for CNSs in Infusion, Wound and Ostomy. The factor influencing training transfer (FITT) questionnaire was used to collect data for the first month (time 1), the third month (time 2), the sixth month (time 3), and the first year (time 4) after training. This questionnaire contains 53 items divided into five dimensions, including managerial support (20 items); hindrance in the organization (6 items); the validity of the training program (10 items); organizational and personal facilitators (11 items); and personal attitudes towards training transfer (6 items).

Results

The influencing factors of CNSs transfer decreased over time, with managerial support, hindrance in the organization, the validity of the training program, and personal attitudes towards training transfer changing statistically over time (P < 0.05), and no statistical difference in organizational and personal facilitators over time (P = 0.229). During early after training (the first month and the third month after training), hindrance in the organization is the biggest obstacle to training transfer. During the later of training (the sixth month and first year after the training), managerial support is the biggest obstacle to training transfer. Overall level of influencing factors of training transfer decreased in three months after training among Infusion nurses (P < 0.001), and Wound and Ostomy nurses decreased in the first year after training (P < 0.001).

Conclusions

The trend and level of training transfer predictors decreased depending on time. Clarifying the factors influencing transfer and its patterns may help nursing managers enhance the implementation and impact of nurse specialist training.