Analysis of factors associated with needlestick injuries of clinical nurses by applying a human factor analysis and classification system: A nationwide cross-sectional survey.

AIMS: This study aims to investigate the current situation of needlestick injuries (NSIs) of clinical nurses and identify associated factors by using the theoretical framework of the human factors analysis and classification system (HFACS). DESIGN: A nationwide cross-sectional survey was conducted. METHODS: Multi-stage sampling was used to investigate 3336 nurses in 14 Chinese hospitals. Descriptive statistics and univariate and multivariate logistic regression were employed to reveal the rate of NSIs and their associated factors. RESULTS: A total of 970 nurses (29.1%) reported having experienced at least one NSI in the past year. The multivariate logistic regression analysis showed that good hospital safety climate and clinical nurses in intensive care unit (ICU) and emergency department had protective effects against NSIs compared with nurses in internal medicine department. The nurse, senior nurse, and nurse in charge have significantly increased the risk for NSIs compared with the associate chief nurse or above. Patients with poor vision but wearing glasses and poor vision but not wearing glasses were more prone to have NSIs. Working in the operating room compared with internal medicine, average weekly working time of >45 h compared with ≤40 h and poor general health led to increased risk of NSIs. CONCLUSION: The rate of NSIs in clinical nurses was high in China. Individual factors including professional title, department, visual acuity and general mental health and organisational factors including weekly working hours and hospital safety atmosphere were significantly correlated with the occurrence of NSIs. RELEVANCE TO CLINICAL PRACTICE: Nursing managers should focused on physical and psychological conditions of clinical nurses, and organisational support is required to enhance the hospital safety atmosphere. NO PATIENT OR PUBLIC CONTRIBUTION: Contributions from patients or the public are irrelevant because this study aims to explore current situation and factors associated with NSIs in clinical nurses.

Effectiveness of a multidimensional intervention program in improving occupational musculoskeletal disorders among intensive care unit nurses: a cluster-controlled trial with follow-up at 3 and 6 months.

BACKGROUND: Intensive care unit (ICU) nurses are at high risk for work-related musculoskeletal disorders (WRMDs). Data on occupational injuries indicate the significance of WRMDs among ICU nurses. Intervention programs have previously been developed to reduce WRMDs, but different intervention methods need to be adopted for different groups of people. This study aimed to evaluate the effectiveness of a multidimensional intervention program to prevent and reduce WRMDs in ICU nurses. METHODS: This study was designed as a two-armed cluster-controlled trial with an intervention group and a control group. The clusters were independent hospital ICUs, and the participants consisted of registered nurses in China. By cluster random sampling, 89 nurses from two ICUs were assigned to the intervention group, and 101 nurses from two other ICUs were assigned to the control group. A multidimensional intervention program based on previous studies was designed. This program combined improving risk perception, health behavior training, and promoting a safe working environment. The multidimensional intervention program was implemented in the intervention group, whereas routine specialist training was implemented in the control group. Baseline and follow-up (3 and 6 months) data were collected using self-reported online questionnaires. The primary outcome was the report rate of WRMDs in the past 7 days. Secondary outcomes were risk perception, application of health behavior, and perception of a safe working environment. The data were statistically analyzed using SPSS 19.0. RESULTS: A total of 190 nurses provided three recorded outcome measurements (intervention group, N = 89 (94.68%); control group, N = 101 (94.39%)). After 6 months, the intervention group experienced significant improvement relative to the control group in the report rate of WRMDs in the past 7 days (OR = 1.953, p = 0.037), risk perception (OR = 0.517, p < 0.001), application of health behavior (OR = 0.025, p < 0.001), and perception of a safe working environment (OR = 1.637, p = 0.024). CONCLUSION: The multidimensional intervention program was superior to routine specialist training in preventing the occurrence of WRMDs in ICU nurses. WRMD training should include multifaceted approaches and pay increased attention to specific department functions.

Predictors of nurses' caring practice for critically ill patients in critical technological environments: A cross-sectional survey study.

Background: Caring practice for critically ill patients refers to the actions/behaviors/performance of nurses while caring for critically ill adult patients in the intensive care unit (ICU). Although the caring practice is vital in ICUs and complex due to the multitude of available technologies, research on ICU nurses' caring practice and its predictive factors are lacking. Objective: This study aimed to explore the level of nurses' caring practice for critically ill patients in critical technological environments in China and its predictors. Methods: This was a cross-sectional online survey study with 218 ICU nurses in 29 tertiary hospitals of Guizhou province, China, from 1st to 30th April 2020. Data were collected by using e-questionnaires made in the Questionnaire Star program, including the Demographic Data Questionnaire (DDQ), Practice of Technological Competency as Caring in Nursing Instrument (P-TCCNI), Influence of Technology Questionnaire (ITQ), and Nurses' Professional Value Scale (NPVS). The questionnaires were content validated by three experts. Cronbach's alpha coefficient was 0.96 for the P-TCCNI, 0.70 for the ITQ, and 0.95 for the NPVS. Links to the questionnaires were distributed by research assistants to WeChat groups including target participants. Statistical Package for the Social Science (SPSS) program version 26 (IBM Corporation, Armonk, NY, USA) was used for data analysis. Descriptive and inferential statistics were used to analyze the data. Multiple linear regression analysis using stepwise solution analysis was performed to identify unique predictors of nurses' caring practice. Results: The level of nurses' caring practice for critically ill patients was high (mean = 87.30, standard deviation = 13.73). The professional value was a significant predictor of nurses' caring practice (ß = 0.41, p = 0.00). Conclusion: ICU nurses exhibited a high level of caring practice. Professional value was a significant predictor of ICU nurses' caring practice. Nursing administrators should understand the current situation of caring practice in critical technological environments and design strategies to maintain and improve ICU nurses' professional value to increase the level of caring practice.

Research-training needs of clinical nurses: A nationwide study among tertiary hospitals in China.

OBJECTIVE: This study aimed to evaluate Chinese tertiary hospital nurses' research output, research ability, and their related training needs regarding scientific research methodology and analyze the relations among them. METHODS: A nationwide survey was conducted in China on a large sample of tertiary hospital nurses (n = 27,335) recruited from 22 provinces, autonomous regions, and municipalities. A validated, self-designed questionnaire, consisted of a common questionnaire, the Science Research Skills Self-Rating Questionnaire (SRSQ) and the Scientific Research Training Needs Questionnaire (SRTNQ) were used to assess nurses' research output, self-rated research skills and research-training needs. RESULTS: The nurses' scientific research participation rates (with 4.13%, 7.85%, 5.35%, and 2.04% in research projects, research attendance, papers published, and patent, respectively) and their self-rated research skills 25.00 (12.50, 37.50) were very low. However, the research training needs were relatively high 53.12(37.50, 75.00). Significant differences in research participation rates (research projects, research attendance, papers published, and patent), scientific research skills, and research-training needs were determined by age, highest education level, nursing experience, employment, technical title, administrative post, and clinical tutoring experience (P < 0.05). Female and male nurses had different research participation rates (only research projects and studies published) and scientific research skills (P < 0.05). Positive correlations were observed among research output, scientific research skills, and research-training needs (P < 0.01). CONCLUSIONS: Nurses' scientific research participation and self-rated research ability were below the optimal despite that they had relatively high research-training needs. Nurses should be provided further research training with tailored content to their characteristics and capacity.