The study of adverse event disclosure has typically focused on the words that are said to the patient and family members after an event. But there is also growing interest in determining how patients and their families can be involved in the analysis of the adverse events that harmed them. We conducted a two-phase study to understand whether patients and families who have experienced an adverse event should be involved in the postevent analysis following the disclosure of a medical error. We first conducted twenty-eight interviews with patients, family members, clinicians, and administrators to determine the extent to which patients and family members are included in event analysis processes and to learn how their experiences might be improved. Then we reviewed our interview findings with patients and health care experts at a one-day national conference in October 2011. After evaluating the findings, conference participants concluded that increasing the involvement of patients and their families in the event analysis process was desirable but needed to be structured in a patient-centered way to be successful. We conclude by describing when and how information from patients might be incorporated into the event analysis process and by offering recommendations on how this might be accomplished.
Objective:This study reviews theoretical models of organizational safety culture to uncover key factors in safety culture development.Background:Research supports the important role of safety culture in organizations, but theoretical progress has been stunted by a disjointed literature base. It is currently unclear how different elements of an organizational system function to influence safety culture, limiting the practical utility of important research findings.Method:We reviewed existing models of safety culture and categorized model dimensions by the proposed function they serve in safety culture development. We advance a framework grounded in theory on organizational culture, social identity, and social learning to facilitate convergence toward a unified approach to studying and supporting safety culture.Results:Safety culture is a relatively stable social construct, gradually shaped over time by multilevel influences. We identify seven enabling factors that create conditions allowing employees to adopt safety culture values, assumptions, and norms; and four behaviors used to enact them. The consequences of these enacting behaviors provide feedback that may reinforce or revise held values, assumptions, and norms.Conclusion:This framework synthesizes information across fragmented conceptualizations to clearly depict the dynamic nature of safety culture and specific drivers of its development. We suggest that safety culture development may depend on employee learning from behavioral outcomes, conducive enabling factors, and consistency over time.Application:This framework guides efforts to understand and develop safety culture in practice and lends researchers a foundation for advancing theory on the complex, dynamic processes involved in safety culture development.
Objectives
We sought to examine the association between willingness of health-care professionals to speak up about patient safety concerns and their perceptions of two types of organizational culture (ie, safety and teamwork) and understand whether nursing professionals and other health-care professionals reported the same barriers to speaking up about patient safety concerns.
Methods
As part of an annual safety culture survey in a large health-care system, we asked health-care professionals to tell us about the main barriers that prevent them from speaking up about patient safety concerns. Approximately 1341 respondents completed the anonymous, electronic survey.
Results
A little more than half (55%) of the participants mentioned leadership (fear of no change or retaliation) and personal (ie, fear of negative feedback or being wrong) barriers concerning why they would not speak up about patient safety concerns. The remaining participants (45%) indicated they would always speak up. These findings about barriers were consistent across nurses and other health-care professionals. Safety culture (SC) and teamwork culture (TC) scores were significantly more positive in those indicating they would always speak up (SC = 89%, TC = 89%) than in those who provided reasons for not speaking up (SC = 63%, TC = 64%) (t
1205 = 13.99, P < 0.05, and t
1217 = 13.61, P < 0.05, respectively).
Conclusions
Health-care professionals emphasized leadership and personal barriers as reasons for not speaking up. We also demonstrated an association between not speaking up and lower safety and teamwork culture scores.
Crowdsourcing is an effective, inexpensive method for generating a knowledge base of problem-medication pairs that is automatically mapped to local terminologies, up-to-date, and reflective of local prescribing practices and trends.
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