Enhancing patient safety by integrating ethical dimensions to Critical Incident Reporting Systems

Moral sensitivity and attitudes towards patient safety among critical care nurses

INTRODUCTION

Patient safety is essential for healthcare quality and a global concern. The rapid advancement of medical technology presents ethical challenges for critical care nurses, who navigate complex decision-making processes. Given their close relationships with patients, nurses are uniquely positioned to address patient safety issues. Thus, enhancing nurses' moral sensitivity and ethical values is increasingly important.

OBJECTIVE

This study aims to explore the relationship between moral sensitivity and attitude towards patient safety in critical care nurses.

METHODS

This cross-sectional, descriptive-correlational study was conducted from June to September 2022 in three hospitals affiliated with Hamadan University of Medical Sciences in Iran. Participants were nurses in intensive care units (ICUs), selected via convenience sampling. A total of 382 nurses completed questionnaires assessing demographic information, moral sensitivity, and patient safety attitudes. Data analysis was performed using descriptive statistics, t-tests, ANOVA, Pearson's correlation, and multiple regression in SPSS 26.Ethical considerations: This research received ethical approval from the Ethics Committee of Hamadan University of Medical Sciences. Participants provided informed consent regarding the study's objectives, and their confidentiality was strictly upheld throughout the research.

RESULTS

The nurses' average age and work experience were 38.6 years and 12.4 years, respectively. Mean scores for moral sensitivity and patient safety attitude were 81.65 ± 2.69 and 51.47 ± 2.21, indicating high levels and a significant positive correlation. Factors such as increasing age, work experience, fewer working hours, and completion of ethics training were linked to more positive attitudes towards patient safety (p < .05). Regression analysis showed that 42.8% of the variability in attitudes towards patient safety could be explained by moral sensitivity and demographic characteristics.

CONCLUSION

This study highlights the relationship between moral sensitivity and patient safety attitudes among critical care nurses, emphasizing the importance of education, experience, and training in shaping ethical values. Enhancing moral sensitivity is vital for reducing risky behaviors and improving patient safety outcomes in critical care settings.

Reporting and managing ethical issues in intensive care using the critical incident reporting system

BACKGROUND

Intensive care nurses frequently encounter ethical issues with potentially severe consequences for nurses, patients, and next of kin. Therefore, ethical issues in intensive care units (ICU) should be recognized and managed.

RESEARCH OBJECTIVES

To analyze ethical issues reported by intensive care nurses and how reported issues were managed within the organization using register data from the HaiPro critical incident reporting system (CIRS), and to explore the suitability of this system for reporting and managing ethical issues.

RESEARCH DESIGN

This was a retrospective descriptive register study. CIRS reports on ethical issues in adult ICUs (n = 12) in one hospital district in Finland over 25 months (2019-2021) were analyzed through inductive content analysis and descriptive quantification. The CIRS's suitability for reporting and managing ethical issues was evaluated through a strengths, weaknesses, opportunities, and threats (SWOT) analysis.

ETHICAL CONSIDERATIONS

The study was approved by the University Ethics Committee, and permission to conduct the research was granted before data collection within the organization.

RESULTS

CIRS reports on ethical issues (n = 35) made by nurses were found in seven of the 12 ICUs. The CIRS managers of these units managed these reports. The ethical issues described by the nurses were divided into four main categories: nature, situational information, consequences, and contributing factors. Management of reported ethical issues was divided into three main categories: preventive actions proposed by nurses, proposals for actions by CIRS managers, and actions taken by CIRS managers.

CONCLUSIONS

Systematic register data broadly describe ethical issues and their management, indicating that the CIRS could be suitable for reporting and managing ethical issues, thereby enabling the monitoring and development of ethical quality at the unit and organizational levels.

Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study

Background

Generative large language models (LLMs) have the potential to revolutionize medical education by generating tailored learning materials, enhancing teaching efficiency, and improving learner engagement. However, the application of LLMs in health care settings, particularly for augmenting small datasets in text classification tasks, remains underexplored, particularly for cost- and privacy-conscious applications that do not permit the use of third-party services such as OpenAI's ChatGPT.

Objective

This study aims to explore the use of open-source LLMs, such as Large Language Model Meta AI (LLaMA) and Alpaca models, for data augmentation in a specific text classification task related to hospital staff surveys.

Methods

The surveys were designed to elicit narratives of everyday adaptation by frontline radiology staff during the initial phase of the COVID-19 pandemic. A 2-step process of data augmentation and text classification was conducted. The study generated synthetic data similar to the survey reports using 4 generative LLMs for data augmentation. A different set of 3 classifier LLMs was then used to classify the augmented text for thematic categories. The study evaluated performance on the classification task.

Results

The overall best-performing combination of LLMs, temperature, classifier, and number of synthetic data cases is via augmentation with LLaMA 7B at temperature 0.7 with 100 augments, using Robustly Optimized BERT Pretraining Approach (RoBERTa) for the classification task, achieving an average area under the receiver operating characteristic (AUC) curve of 0.87 (SD 0.02; ie, 1 SD). The results demonstrate that open-source LLMs can enhance text classifiers' performance for small datasets in health care contexts, providing promising pathways for improving medical education processes and patient care practices.

Conclusions

The study demonstrates the value of data augmentation with open-source LLMs, highlights the importance of privacy and ethical considerations when using LLMs, and suggests future directions for research in this field.

Patient safety reporting and learning system of Catalonia (SNiSP Cat): a health policy initiative to enhance culture, leadership and professional engagement

Patient safety reporting and learning systems (PSRLS) are tools to promote patient safety culture in healthcare organisations (HCO). Many PRSLS are locally developed. WHO Global Action Plan on Patient Safety 2021-2030 urges governments to deploy policies for healthcare risk management including PSRLS. The Ministry of Health of Catalonia (MHC) faced challenges in addressing quality and patient safety (Q&PS) issues due to disparate information systems. To address these challenges, the MHC developed a territorial PSRLS and embedded it in the Quality and Patient Safety Strategic Plan of Catalonia 2023-2027 (QPSS Plan Cat).

METHODS

Four-step process: (1) creation of a governance model, a web platform and reporting forms for a PSRLS in Catalonia (SNiSP Cat); (2) SNiSP Cat roll out; (3) embed SNiSP Cat information in the accreditation model for HCO and the PS scorecard; (4) Development of SNiSP Cat within the QPSS Plan Cat 2023-2027.

RESULTS

The SNiSP Cat is in use by 63/64 acute care hospital (ACH), 376/376 primary healthcare teams (PCT) and 17/98 long-term care facilities (LTCF). 1335/109 273 professionals were trained. Until 2022, 127 051 incidents have been migrated and reported (2013-2022). The system has generated three comprehensive risk maps for HCO: one for ACH, including patients' falls, medication, clinical process and procedures; second for PCT, including clinical process and procedures, clinical administration and medication; and a third for LTCF, included patients' falls, medication, digital/analogical documentation. SNiSP Cat provided information to support 53 standards out of 1312 of the ACH accreditation model and 14 standards out of 379 of PCT one. Regarding the MHC patient safety scorecard, 14 indicators out of 147 of ACH and 4 out of 41 of PCT are supported by SNiSP Cat data.

CONCLUSIONS

The availability of a territorial PSRLS (SNiSP Cat) allows MHC leads the Q&PS policy with direct information, risk maps and data support to the standards for the Catalan accreditation models and PS scorecard linked to incentivisation, turning the SNiSP Cat into a driven tool to implement the Quality and Patient Safety Strategic Plan of Catalonia 2023-2027.

Making Neglect Invisible: A Qualitative Study among Nursing Home Staff in Norway

BACKGROUND

Research shows that nursing home residents' basic care needs are often neglected, potentially resulting in incidents that threaten patients' safety and quality of care. Nursing staff are at the frontline for identifying such care practices but may also be at the root of the problem. The aim of this study was to generate new knowledge on reporting instances of neglect in nursing homes based on the research question "How is neglect reported and communicated by nursing home staff?"

METHODS

A qualitative design guided by the principles of constructivist grounded theory was used. The study was based on five focus-group discussions (20 participants) and 10 individual interviews with nursing staff from 17 nursing homes in Norway.

RESULTS

Neglect in nursing homes is sometimes invisible due to a combination of personal and organizational factors. Staff may minimize "missed care" and not consider it neglect, so it is not reported. In addition, they may be reluctant to acknowledge or reveal their own or colleagues' neglectful practices.

CONCLUSION

Neglect of residents in nursing homes may continue to occur if nursing staff's reporting practices are making neglect invisible, thus proceeding to compromise a resident's safety and quality of care for the foreseeable future.

[Further Development of Maturity Levels of Quality and Risk Management System at the University Hospital Schleswig-Holstein]

INTRODUCTION

Following upon our publication "Maturity Levels of Quality and Risk Management at the University Hospital Schleswig-Holstein" in 2018, we present the further development of the maturity model. Quality and risk management in hospitals is not only required by law but also plays a significant role in an optimized patient- and process-oriented health care.

METHODS

A questionnaire-based self-assessment was carried out by 46 clinical units of the UKSH (location Kiel and Lübeck) for the analysis of nine quality criteria overall. Four of these criteria (quality assurance (QS), critical incident reporting system (CIRS), complaint management (BM) and process management (PM)) were already analysed in 2016 and were extended to the five new aspects, namely audits and on-site inspections, responsibilities, morbidity and mortality conferences, hygiene training and surgical safety checklist. Every quality item was graded into four categories from "A" (fully implemented) to "D" (not implemented at all).

RESULTS

The comparison of the results for quality criteria QS, CIRS, BM, PM and the overall maturity level between 2016 and 2020 demonstrated statistically significant improvements in 2020 concerning the criteria QS (p=0.013), CIRS (p=0.026), PM (p=0.000) and the overall maturity levels (p=0.019). The criteria BM did not show any statistically significant improvement. The five newly added quality criteria demonstrated maturity levels "A" (fully implemented) and "B" (largely implemented) the following: audits and on-site inspections (100%), responsibilities (95.6%), morbidity and mortality conferences (65.2%), hygiene training (95.6%), and surgical safety checklist (100%).

CONCLUSION

An integrated quality and risk management has already been a firm element of UKSH for years. Nevertheless, review of effectiveness of the initiated targeted measures is still a challenge. This is the reason why it is necessary to develop effective and resource-saving approaches for the evaluation of measures and the identification of potential for improvement. The recognised potential for improvement should be risk-prioritized and completely exploited using sustainable measures. Following this principle, we designed a qualitative model of maturity levels for the evaluation of our quality and risk management system at the UKSH in 2016, whose further development we demonstrate here.

A Systematic Review of Intra- and Postoperative Complication Reporting and Grading in Urological Surgery: Understanding the Pitfalls and a Path Forward

CONTEXT

Surgical outcomes and patient morbidity are often surrogate markers of health care quality and efficiency. These parameters can only be used with confidence if the reporting and grading of intra- and postoperative complications are reliable and reproducible. Without uniformity and regulation, the risk of under-reporting, and thus significant underestimation of the burden of intra- and postoperative morbidity, is high and should be of great concern to the international surgical community.

OBJECTIVE

To assess the quality and utility of currently available reporting and classification systems for intra- and postoperative complications, recognise their advantages and pitfalls, discuss the overall implications of these systems for urological surgery, and identify potential solutions for future reporting and classification systems.

EVIDENCE ACQUISITION

A comprehensive search was performed using multiple reputable databases and trial registries up to October 25, 2022. Only studies that adhered to predefined inclusion criteria were included. Study selection and data extraction were independently performed by two review authors. The review was performed according to strict methodological guidelines in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement.

EVIDENCE SYNTHESIS

A total of 13 papers highlighting 13 various complication systems were critically assessed in this review. All studies proposed an intra- or postoperative complication reporting or grading system that was surgically related. At present, there is no single instrument in clinical practice to account for all relevant complication data. Six of the 13 studies were clinically validated (46%) and only three studies were urology-focused (23%). Meta-analysis was not possible.

CONCLUSIONS

Current individual complication tools are flawed, so there is a need for a novel, all-inclusive, specialty-specific reporting and classification system for intra- and postoperative complications. If successfully validated and integrated worldwide, such an instrument would have the potential to play a significant role in reshaping efficiency in health care systems and improving surgical and patient quality of care.

PATIENT SUMMARY

Current tools for reporting and classifying complications during and after surgery underestimate how burdensome such complications can be for patients. We summarise the reporting and classification tools currently available, discuss their advantages and drawbacks, and propose potential solutions for future systems. Our review can help in better understanding the changes required for future tools and how to improve overall surgical outcomes for patients.

Active involvement of nursing staff in reporting and grading complication-intervention events-Protocol and results of the CAMUS Pilot Nurse Delphi Study

Objectives

The aim of this study is to gain experienced nursing perspective on current and future complication reporting and grading in Urology, establish the CAMUS CCI and quality control the use of the Clavien-Dindo Classification (CDC) in nursing staff.

Subjects and Methods

The 12-part REDCap-based Delphi survey was developed in conjunction with expert nurse, urologist and methodologist input. Certified local and international inpatient and outpatient nurses specialised in urology, perioperative nurses and urology-specific advanced practice nurses/nurse practitioners will be included. A minimum sample size of 250 participants is targeted. The survey assesses participant demographics, nursing experience and opinion on complication reporting and the proposed CAMUS reporting recommendations; grading of intervention events using the existing CDC and the proposed CAMUS Classification; and rating various clinical scenarios. Consensus will be defined as ≥75% agreement. If consensus is not reached, subsequent Delphi rounds will be performed under Steering Committee guidance.

Results

Twenty participants completed the pilot survey. Median survey completion time was 58 min (IQR 40-67). The survey revealed that 85% of nursing participants believe nurses should be involved in future complication reporting and grading but currently have poor confidence and inadequate relevant background education. Overall, 100% of participants recognise the universal demand for reporting consensus and 75% hold a preference towards the CAMUS System. Limitations include variability in nursing experience, complexity of supplemental grades and survey duration.

Conclusion

The integration of experienced nursing opinion and participation in complication reporting and grading systems in a modern and evolving hospital infrastructure may facilitate the assimilation of otherwise overlooked safety data. Incorporation of focused teaching into routine nursing education will be essential to ensure quality control and stimulate awareness of complication-related burden. This, in turn, has the potential to improve patient counselling and quality of care.