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Objective: It is increasingly recognized that patient safety requires heterogeneous insights from a range of stakeholders, yet incident reporting systems in health care still primarily rely on staff perspectives. This paper examines the potential of combining insights from patient complaints and staff incident reports for a more comprehensive understanding of the causes and severity of harm. Methods: Using five years of patient complaints and staff incident reporting data at a large multi-site hospital in London (in the United Kingdom), this study conducted retrospective patient-level data linkage to identify overlapping reports. Using a combination of quantitative coding and in-depth qualitative analysis, we then compared level of harm reported, identified descriptions of adjacent events missed by the other party and examined combined narratives of mutually identified events. Results: Incidents where complaints and incident reports overlapped (n = 446, reported in 7.6%' of all complaints and 0.6% of all incident reports) represented a small but critical area of investigation, with significantly higher rates of Serious Incidents and severe harm. Linked complaints described greater harm from safety incidents in 60% of cases, reported many surrounding safety events missed by staff (n = 582), and provided contesting stories of why problems occurred in 46% cases, and complementary accounts in 26% cases. Conclusions: This study demonstrates the value of using patient complaints to supplement, test, and challenge staff reports, including to provide greater insight on the many potential factors that may give rise to unsafe care. Accordingly, we propose that a more holistic analysis of critical safety incidents can be achieved through combining heterogeneous data from different viewpoints, such as through the integration of patient complaints and staff incident reporting data. [ABSTRACT FROM AUTHOR]

Objective: The aims of this study were (a) to determine whether near-miss incidents in financial trading contain information on the operator skills and systems that detect and prevent near misses and the patterns and trends revealed by these data and (b) to explore if particular operator skills and systems are found as important for avoiding particular types of error on the trading floor.Background: In this study, we examine a cohort of near-miss incidents collected from a financial trading organization using the Financial Incident Analysis System and report on the nontechnical skills and systems that are used to detect and prevent error in this domain.Method: One thousand near-miss incidents are analyzed using distribution, mean, chi-square, and associative analysis to describe the data; reliability is provided.Results: Slips/lapses (52%) and human-computer interface problems (21%) often occur alone and are the main contributors to error causation, whereas the prevention of error is largely a result of teamwork (65%) and situation awareness (46%) skills. No matter the cause of error, situation awareness and teamwork skills are used most often to detect and prevent the error.Conclusion: Situation awareness and teamwork skills appear universally important as a "last line" of defense for capturing error, and data from incident-monitoring systems can be analyzed in a fashion more consistent with a "Safety-II" approach.Application: This research provides data for ameliorating risk within financial trading organizations, with implications for future risk management programs and regulation. [ABSTRACT FROM AUTHOR]

Employee safety citizenship behaviors are crucial to risk management in safety-critical industries, and identifying ways to encourage them is a priority. This study examines (i) whether safety citizenship behaviors are a product of social exchanges between employees and organizations, and (ii) the organizational exchanges (i.e. actual activities to support employees) that underlie this relationship. We studied this in the offshore oil and gas industry, and investigated whether organizational activities for supporting workforce health are a signal to employees that the organization supports them, and an antecedent to safety citizenship behaviors. Using questionnaires, we collected data from employees (n = 820) and medics (n = 30) on 22 offshore installations. Multi-level path analysis found that where activities to support workforce health were greater, offshore employees were more likely to perceive their organization to support them, and in turn report more commitment to the organization and safety citizenship behaviors. This indicates safety citizenship behaviors are a product of social exchange, and provides insight on how organizations can influence employee engagement in them. It also suggests social exchange theory as a useful framework for investigating how organizational safety is influenced by workforce relations. We contributed to the social exchange literature through conceptualizing and demonstrating how organizational exchanges lead to reciprocal employee citizenship behaviors. [ABSTRACT FROM AUTHOR]

Objective: This study tests the reliability of a system (FINANS) to collect and analyze incident reports in the financial trading domain and is guided by a human factors taxonomy used to describe error in the trading domain.Background: Research indicates the utility of applying human factors theory to understand error in finance, yet empirical research is lacking. We report on the development of the first system for capturing and analyzing human factors-related issues in operational trading incidents.Method: In the first study, 20 incidents are analyzed by an expert user group against a referent standard to establish the reliability of FINANS. In the second study, 750 incidents are analyzed using distribution, mean, pathway, and associative analysis to describe the data.Results: Kappa scores indicate that categories within FINANS can be reliably used to identify and extract data on human factors-related problems underlying trading incidents. Approximately 1% of trades (n = 750) lead to an incident. Slip/lapse (61%), situation awareness (51%), and teamwork (40%) were found to be the most common problems underlying incidents. For the most serious incidents, problems in situation awareness and teamwork were most common.Conclusion: We show that (a) experts in the trading domain can reliably and accurately code human factors in incidents, (b) 1% of trades incur error, and (c) poor teamwork skills and situation awareness underpin the most critical incidents.Application: This research provides data crucial for ameliorating risk within financial trading organizations, with implications for regulation and policy. [ABSTRACT FROM AUTHOR]