Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System

Objective: To assess the effect of computer-based training (CBT) and leadership communication on incident learning system reports pertaining to institutional policy that targets biased, prejudiced, and racist behaviors of patients and visitors toward health care employees. Patients and Methods: Mayo...

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Autores principales:	Caroline G. Wilker, MD, Abigail L. Stockham, MD, Benjamin J. Houge, MS, Sheila K. Stevens, MSW, Karee A. Munson, BS, Paul S. Mueller, MD
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/245695a908e4479a8398a96b59670935
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spelling	oai:doaj.org-article:245695a908e4479a8398a96b596709352021-11-16T04:11:01ZComputer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System2542-454810.1016/j.mayocpiqo.2021.08.013https://doaj.org/article/245695a908e4479a8398a96b596709352021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2542454821001326https://doaj.org/toc/2542-4548Objective: To assess the effect of computer-based training (CBT) and leadership communication on incident learning system reports pertaining to institutional policy that targets biased, prejudiced, and racist behaviors of patients and visitors toward health care employees. Patients and Methods: Mayo Clinic developed a CBT module and comprehensive communication strategy to educate staff on the Patient and Visitor Conduct Policy. Additional goals were to demonstrate leadership endorsement and support of the policy, teach how to report an incident, and facilitate how policy enforcement might occur. Using descriptive statistics, we compared the reporting data before and after the intervention. Results: Participants were 13,980 employees in 68 clinics and 18 hospitals in the US Midwest. Bias and misconduct incidents entered in the incident reporting system increased 312% (n=140 incidents; preintervention, n=34) in the quarter (ie, 3 months) immediately after intervention. The number of incidents in the next quarter stayed increased (234%; n=114) compared with the preintervention number. Secondary debriefing with employees showed the value of the education and the importance of leadership support at the highest level to facilitate comfort in policy enforcement. Conclusion: Institutional policy that targets biased, prejudiced, and racist behaviors of patients toward employees in a health care setting can be augmented with employee education and leadership support to facilitate change. The CBT, paired with a robust communication plan and active leadership endorsement and engagement, resulted in increased reporting of biased, prejudiced, and racist behaviors of patients.Caroline G. Wilker, MDAbigail L. Stockham, MDBenjamin J. Houge, MSSheila K. Stevens, MSWKaree A. Munson, BSPaul S. Mueller, MDElsevierarticleMedicine (General)R5-920ENMayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 5, Iss 6, Pp 1075-1080 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Caroline G. Wilker, MD Abigail L. Stockham, MD Benjamin J. Houge, MS Sheila K. Stevens, MSW Karee A. Munson, BS Paul S. Mueller, MD Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System
description	Objective: To assess the effect of computer-based training (CBT) and leadership communication on incident learning system reports pertaining to institutional policy that targets biased, prejudiced, and racist behaviors of patients and visitors toward health care employees. Patients and Methods: Mayo Clinic developed a CBT module and comprehensive communication strategy to educate staff on the Patient and Visitor Conduct Policy. Additional goals were to demonstrate leadership endorsement and support of the policy, teach how to report an incident, and facilitate how policy enforcement might occur. Using descriptive statistics, we compared the reporting data before and after the intervention. Results: Participants were 13,980 employees in 68 clinics and 18 hospitals in the US Midwest. Bias and misconduct incidents entered in the incident reporting system increased 312% (n=140 incidents; preintervention, n=34) in the quarter (ie, 3 months) immediately after intervention. The number of incidents in the next quarter stayed increased (234%; n=114) compared with the preintervention number. Secondary debriefing with employees showed the value of the education and the importance of leadership support at the highest level to facilitate comfort in policy enforcement. Conclusion: Institutional policy that targets biased, prejudiced, and racist behaviors of patients toward employees in a health care setting can be augmented with employee education and leadership support to facilitate change. The CBT, paired with a robust communication plan and active leadership endorsement and engagement, resulted in increased reporting of biased, prejudiced, and racist behaviors of patients.
format	article
author	Caroline G. Wilker, MD Abigail L. Stockham, MD Benjamin J. Houge, MS Sheila K. Stevens, MSW Karee A. Munson, BS Paul S. Mueller, MD
author_facet	Caroline G. Wilker, MD Abigail L. Stockham, MD Benjamin J. Houge, MS Sheila K. Stevens, MSW Karee A. Munson, BS Paul S. Mueller, MD
author_sort	Caroline G. Wilker, MD
title	Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System
title_short	Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System
title_full	Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System
title_fullStr	Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System
title_full_unstemmed	Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System
title_sort	computer-based patient bias and misconduct training impact on reports to incident learning system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/245695a908e4479a8398a96b59670935
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Computer-Based Patient Bias and Misconduct Training Impact on Reports to Incident Learning System

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