Disruptive Behavior in Medicine: Sources, Impact, and Management

Issues and Perspectives for the Study of Disruptive Clinician Behavior

This article discusses issues and perspectives related to the study of disruptive clinician behavior (DCB) to improve patient safety and healthcare professionals' work environments. Multiple terminologies and ambiguous definitions have resulted in conceptual confusion in studies on DCB. In addition, subjective classifications have led the attributes of DCB to overlap and fluctuate. Therefore, we share Rosenberg's definition of DCB as "any inappropriate behavior, confrontation, or conflict, ranging from verbal abuse to physical and sexual harassment." It is recommended that DCB be understood as a hierarchical structure identified through statistical analysis of field survey data. Furthermore, a recurring list of items is duplicated across existing studies on DCB triggers, contributing factors, and influences. These items can be organized into separate path models based on their mutual relationships. Given these assumed models, we believe that further studies on DCB can shift toward elucidating the mechanisms of occurrence and impact. Finally, based on the path models, we recommend improving healthcare professionals' psychological and social states through a policy shift from "zero-tolerance" to "to err is human" as a priority issue for DCB prevention and countermeasures.

How breast radiologists can deal with the disruptive technologist

Physician burnout continues to be a challenge in addressing radiologist wellness. The stressors contributing to breast radiologist burnout are distinctive due to the unique work environments of a breast center. The intimate nature of a subspecialized team of radiologist(s) and technologists at an imaging center may result in interpersonal challenges such as a disruptive technologist. It is important to address the stressors to mitigate the increasing burnout affecting breast radiologists. This article raises awareness among radiologists and administrators and provides strategies to breast centers and breast radiologists for guidance on dealing with a disruptive technologist.

Development of a Psychological Scale for Measuring Disruptive Clinician Behavior

OBJECTIVES

Disruptive clinician behavior worsens communication, information transfer, and teamwork, all of which negatively affect patient safety. Improving safety in medical care requires an accurate assessment of the damage caused by disruptive clinician behavior. Psychometric scales complement case reports, but existing scales have significant limitations. Therefore, this study developed a psychometric scale based on the psychological paradigm to assess disruptive clinician behavior.

METHODS

The scale was developed through a sequence of steps. First, we used an open-ended questionnaire targeting 712 nurses, content analysis, and content validity assessment by 5 experts to determine valid items for disruptive clinical behavior. Next, an Internet questionnaire survey targeting 1000 health care staff, exploratory factor analysis, and subfactor analysis was conducted to identify necessary and sufficient factors. Then, we calculated difficulty level and discriminative power. We also conducted a field questionnaire survey targeting 84 staff in a hospital. Finally, we calculated ω coefficients and then used confirmatory factor analysis to verify the fit of the hypothesized model.

RESULTS

Our open-ended survey involving 478 nurses identified 47 codes in 9 categories. The questionnaire survey involving hospital 1000 medical staff identified 6 factors, with 1 factor subdivided into 4 subfactors and 1 into 2 subfactors. The goodness of fit of the hypothesized 10-factor models with factor pairs and groups was confirmed.

CONCLUSIONS

We developed a psychometric scale measuring subjective assessments of harm covering various disruptive clinician behaviors. The scale complements interviews and case reports by generating valid, reliable scores for various disruptive clinician behaviors in health care institutions.

Eyes on incivility in surgical teams: Teamwork, well-being, and an intervention

Incivility in surgery is prevalent and negatively impacts effectiveness and staff well-being. The purpose of this study was to a) examine relationships between incivility, team dynamics, and well-being outcomes, and b) explore a low-cost intervention of 'eye' signage in operating theater areas to reduce incivility in surgical teams. A mixed methods design was used in an orthopedic hospital. Surveys of incivility, teamwork, and well-being were administered three months apart in a small private hospital. An intervention of signage with eyes was placed in the theater area after administration of the first survey, using a pretest-posttest design. Participants also responded to an open-ended question about suggestions for improvements at the end of the survey which was then thematically analyzed. At the individual level (n = 74), incivility was statistically significantly related to team dynamics which in turn was significantly related to burnout, stress, and job attitudes. At the aggregate level, reported incivility was statistically significantly lower after the 'eye' sign intervention. Thematic analysis identified core issues of management behaviors, employee appreciation, communication, and work practices. Incivility in surgical teams has significant detrimental associations with burnout, stress, and job attitudes, which occurs through its impact on decreased team dynamics and communication. A simple intervention that evokes perceptions of being observed, such as signage of eyes in theater areas, has the potential to decrease incivility at least in the short term, demonstrating that incivility is amenable to being modified. Additional research on targeted interventions to address incivility are needed to improve teamwork and staff well-being.

Prevalence and Risk Factors of Bullying and Sexual and Racial Harassment in Healthcare Workers: A Cross-Sectional Study in Italy

Background: This cross-sectional study aims to evaluate the prevalence and socio-demographic factors associated with workplace bullying, sexual harassment and racial harassment among Italian health workers. Methods: We recruited 3129 participants using an online Italian translation of the ‘Workplace Violence in the Health Sector Country Case Studies Research Instruments Survey’ (WVHS) questionnaire. Data were analyzed with univariate (chi-square) and multivariate (multiple logistic regression) analysis. Results: Univariate analysis shows that females are significantly more affected by bullying (16.4% vs. 12.3%) and sexual harassment (2.4% vs. 1.3%). On the other hand, males are significantly more affected by racial harassment (3.1% vs. 2.0%). Multivariate analysis shows higher odds of being affected by bullying (OR = 1.30; 95% CI (1.03, 1.64)) and sexual harassment (OR = 2.08; 95% CI (1.04, 4.00)) for females, and higher odds of undergoing racial harassment (OR = 1.55; 95% CI (0.95, 2.53)) for males. Conclusion: This analysis of work situations looks to identify those risk factors, existing or potential, that increase the probability of episodes of violence. A group of work or other subjects identified by direction will have to evaluate the vulnerability of workplaces and establish more effective preventive actions to be adopted.