Nurses' perception regarding patient safety climate and quality of health care in general hospitals in Japan

Utilizing diverse cross-sectional assessment templates to instruct novice nurses in the neurology department about typical diseases

OBJECTIVE

The aim of this study is to explore the utilization of diverse cross-sectional assessment templates for typical diseases in educating novice nurses in neurology departments.

METHODS

Between January and December 2019, all registered nurses who had worked for less than 10 years at our center, were enrolled in this retrospective study. They were divided into the observation (18 nurses) and control (17 nurses) groups. The control group received training on various cross-sectional assessments for typical diseases. A comparative analysis was conducted on clinical work ability, nursing quality, adverse events, and patient satisfaction between the two groups.

RESULTS

A total of 35 nurses participated in this study. The work ability score for nurses in the observation group was 97.42 ± 2.02 points, demonstrating a significant increase compared to the control group (92.17 ± 1.72 points) (p < 0.001). Regarding the quality of care provided to critically ill patients, the observation group demonstrated a significantly higher score of 95.82 ± 1.31 points compared to the control group, which scored 87.70 ± 3.15 points (p < 0.001). The number of adverse events within one year after admission was notably lower in the observation group, with 8 cases, compared to 23 cases in the control group (p = 0.006). Additionally, nurses in the observation group achieved a higher patient satisfaction score compared to the control group (97.23 ± 1.78 vs. 92.19 ± 1.49 points, p < 0.001).

CONCLUSION

The utilization of diverse cross-sectional assessment templates and instructional videos for typical diseases in the training of novice nurses in the neurology department enhanced nursing quality, improved clinical practical abilities, and improved patient safety.

Challenge-Hindrance Stressors and Novice Nurses' Safety Behaviour: The Mediating Role of Regulatory Focus and the Moderating Role of Workplace Spirituality

AIMS

This study aims to investigate the impact of challenge-hindrance stressors on novice nurses' safety behaviour, the mediating effect of regulatory focus, and the moderating effect of workplace spirituality.

BACKGROUND

The relationship between challenge-hindrance stressors and novice nurses' safety behaviour has rarely been investigated, despite the global concern for patient safety in healthcare systems. Previous research suggests that regulatory focus and workplace spirituality matter for nurse safety behaviour, but the relationship between them remains unclear.

METHODS

An on-site cross-sectional survey. The STROBE guidelines were followed to report this study. Stratified sampling was used to recruit participants, and 471 novice nurses completed the Nurse Safety Behaviour Questionnaire, the Challenge-Hindrance Stressors Scale, the Regulatory Focus Scale, and the Workplace Spirituality Scale between January 2024 and May 2024. SPSS 24.0 and SPSS PROCESS 3.5 macros were used to test research hypotheses.

RESULTS

Challenge stressors positively affect novice nurses' safety behaviour, and promotion focus mediates this relationship. Hindrance stressors negatively affect novice nurses' safety behaviour, and prevention focus partially masks this relationship. Workplace spirituality positively moderates the relationship between challenge stressors and novice nurses' safety behaviour.

CONCLUSION

Challenge-hindrance stressors have a double-edged sword effect on novice nurses' safety behaviours. Regulatory focus and workplace spirituality play significant roles in the relationship between challenge-hindrance stressors and novice nurses' safety behaviour.

IMPACT

Managers should leverage challenge stressors to boost novice nurses' safety behaviours and enhance their intrinsic motivation through regulatory focus. Additionally, managers should highlight workplace spirituality's importance in coping with work stress. This approach can effectively improve safety behaviours and ensure patient safety.

PATIENT OR PUBLIC CONTRIBUTION

Patients and the public were not involved in the design and implementation of this study. Clinical novice nurses completed a questionnaire for this study.

Compassionate Care with Autonomous AI Humanoid Robots in Future Healthcare Delivery: A Multisensory Simulation of Next-Generation Models

The integration of AI and robotics in healthcare raises concerns, and additional issues regarding autonomous systems are anticipated. Effective communication is crucial for robots to be seen as "caring", necessitating advanced mechatronic design and natural language processing (NLP). This paper examines the potential of humanoid robots to autonomously replicate compassionate care. The study employs computational simulations using mathematical and agent-based modeling to analyze human-robot interactions (HRIs) surpassing Tetsuya Tanioka's TRETON. It incorporates stochastic elements (through neuromorphic computing) and quantum-inspired concepts (through the lens of Martha Rogers' theory), running simulations over 100 iterations to analyze complex behaviors. Multisensory simulations (visual and audio) demonstrate the significance of "dynamic communication", (relational) "entanglement", and (healthcare system and robot's function) "superpositioning" in HRIs. Quantum and neuromorphic computing may enable humanoid robots to empathetically respond to human emotions, based on Jean Watson's ten caritas processes for creating transpersonal states. Autonomous AI humanoid robots will redefine the norms of "caring". Establishing "pluralistic agreements" through open discussions among stakeholders worldwide is necessary to align innovations with the values of compassionate care within a "posthumanist" framework, where the compassionate care provided by Level 4 robots meets human expectations. Achieving compassionate care with autonomous AI humanoid robots involves translating nursing, communication, computer science, and engineering concepts into robotic care representations while considering ethical discourses through collaborative efforts. Nurses should lead the design and implementation of AI and robots guided by "technological knowing" in Rozzano Locsin's TCCN theory.

Intensive and critical care nurses patient safety, care quality, professional self-efficacy, and missed nursing care: Structural equation model analysis

BACKGROUND

Globally, nurses' patient safety, care quality, and missed nursing care are well documented. However, there is a paucity of studies on the mediating roles of care quality and professional self-efficacy, particularly among intensive and critical care unit (ICCU) nurses in developing countries like the Philippines.

AIM

To test a model of the interrelationships of patient safety, care quality, professional self-efficacy, and missed nursing care among ICCU nurses.

METHODS

A cross-sectional, correlational design study was used. ICCU nurses (n = 335) were recruited via consecutive sampling from August to December 2023 and completed four validated self-report scales. Spearman Rho, structural equation modeling, mediation, and path analyses were utilized for data analysis.

RESULTS

The emerging model demonstrated acceptable fit parameters. Patient safety positively influenced care quality (β = .34, p = .002) and professional self-efficacy (β = .18, p = .011), while negatively affecting missed nursing care (β = -.34, p = .003). Care quality positively and negatively influenced professional self-efficacy (β = .40, p = .003) and missed nursing care (β = -.13, p = .003), respectively. Professional self-efficacy indirectly impacted missed nursing care (β = -.32, p = .003). Care quality (β = -.10, p = .003) and professional self-efficacy (β = .13, p = .003) showed mediating effects between patient safety and missed nursing care.

LINKING EVIDENCE TO ACTION

ICCU nurses' care quality and professional self-efficacy are essential mediating factors that can bolster patient safety practices, hence reducing missed nursing care. Therefore, healthcare organizations, nurse managers, and policymakers should cultivate care quality and self-efficacy by creating support programs and providing a positive practice environment. Nurses and nurse supervisors could directly observe missed nursing care in the ICCU to understand its underreported causes.

RETRACTED: Safety climate, quality of care, adherence to and compliance with standard precautions among nurses: Structural equation modeling

AIMS

The aim was to investigate the interrelationships of nurses' safety climate, quality of care, and adherence to and compliance with standard precautions (SPs).

BACKGROUND

Investigations about nurses' safety climate and quality care and their association with adherence to and compliance with SPs remain remarkably scant across literature, specifically among developing countries like the Philippines.

DESIGN

Cross-sectional design and structural equation modeling (SEM) approach while complying with STROBE guidelines.

METHODS

Participant nurses were recruited using convenience sampling (n = 870). Four validated self-report instruments were used to collect data from February to August 2022. Spearman rho, SEM, mediation, and path analyses were employed for data analysis.

RESULTS

The emerging model showed acceptable model fit parameters. The safety climate positively influenced the quality of care and adherence to and compliance with SPs. Quality of care directly affected adherence to SPs, while adherence to SPs directly affected compliance with SPs. The quality of care mediated the relationship between safety climate and adherence to SPs. Whereas adherence to SPs mediated the relationships between safety climate and compliance with SPs and the quality of care and compliance with SPs.

CONCLUSIONS

Nurses' safety climate directly affected the quality of care and SPs adherence and compliance. The quality of care mediated the impact of safety climate on SPs adherence. Finally, SPs adherence demonstrated a mediating effect among quality of care, safety climate, and SPs compliance.

IMPLICATIONS FOR NURSING POLICY AND PRACTICE

Nursing policymakers and administrators can use the findings to design strategic policies and sustainable in-service educational courses fostering and maintaining nurses' safety climate, quality of care, and SPs adherence and compliance.

Nurses' safety climate, quality of care, and standard precautions adherence and compliance: A cross-sectional study

INTRODUCTION

Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach.

DESIGN

Cross-sectional design complying with STROBE guidelines.

METHODS

Using convenience sampling, nurses (n = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis.

RESULTS

Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance.

CONCLUSIONS

The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance.

CLINICAL RELEVANCE

Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice.

PATIENT OR PUBLIC CONTRIBUTION

This study had no patient contribution or public funding.

Patient Safety Climate, Quality of Care, and Intention of Nursing Professionals to Remain in Their Job During the COVID-19 Pandemic

OBJECTIVE

This study aimed to examine the relationship between patient safety climate, quality of care, and intention of nursing professionals to remain in their job.

METHODS

A cross-sectional study was carried out in a teaching hospital in Brazil wherein nursing professionals were surveyed. The Brazilian version of the Patient Safety Climate in Healthcare Organizations tool was applied to measure the patient safety climate. Spearman correlation coefficient and multiple linear regression models were applied for the analysis.

RESULTS

A high percentage of problematic response was observed for most dimensions, except for fear of shame. Quality of care resulted in a strong correlation with organizational resources for safety and with overall emphasis on patient safety, and the nurse-perceived staffing adequacy was strongly correlated with organizational resources for safety. The multiple linear regression model showed higher scores in quality of care in dimensions related to organizational, work unit, and interpersonal aspects as well as in the adequacy of the number of professionals. A higher score in intention to stay in one's job was also found in the dimensions of fear of blame and punishment, provision of safe care, and adequacy of the number of professionals.

CONCLUSIONS

The organizational and work unit aspects can lead to a better perception of the quality of care. Improving interpersonal relationships and increasing the number of professionals on staff were found to increase nurses' intention to remain in their jobs. Assessing a hospital's patient safety climate will enable improvement in the provision of safe and harm-free health care assistance.

Correlation of safety behavior, handover quality, and risk perception: A cross-sectional study among Chinese psychiatric nurses

Background

Nurses' safety behaviors played an important role in patients' safety goal realization, and it varies from person to person. However, less research has explored the safety behavior level of psychiatric nurses and its influencing factors. Thus, this research aimed to assess the level of safety behavior and explore whether risk perception mediated the relationship between handover quality and safety behavior among psychiatric nurses.

Methods

A total of 186 registered psychiatric nurses in a Chinese hospital were recruited for this study, through the convenience sampling method. Handover quality, risk perception, and safety behavior were measured. Hayes' PROCESS macro was used to evaluate the mediation of risk perception between handover quality and safety behavior.

Results

Scores of psychiatric nurses' safety behaviors were (47.98 ± 7.45), and handover quality and risk perception could predict the variance of nurses' safety behaviors. Risk perception could partially mediate between handover quality and nurses' safety behaviors, and the value of the mediating effect was 49.17%.

Conclusion

Psychiatric nurses' safety behaviors have a large promotion space. Therefore, healthcare professionals should endeavor to improve the handover quality of psychiatric nurses and decrease their risk perception, thereby promoting nurses' safety behaviors.