Parker, Sarah Henrickson

Background Do Not Resuscitate (DNR) orders are intended to safeguard patients' autonomy and prevent unwanted resuscitative care. However, DNR orders may be miscommunicated between health care providers, leading to errors honoring patient wishes during cardiac arrest events. This project focused on improving accuracy of DNR ordering processes for an academic, tertiary care hospital. Intervention We describe a performance improvement process and outcomes for implementation of an inpatient electronic ordering system that included an automated, decentralized printing process for resuscitation status armbands. Specific phases of this project involved: (a) identification of common factors contributing to errors honoring patients‘ resuscitation wishes, (b) design of an electronic ordering process, (c) design and integration of a new DNR armband and (d) evaluation of the impact of changes on communication accuracy. The primary outcome was percentage of patients with incorrect designation of resuscitation status on armbands compared to the active resuscitation order in the electronic medical record. Results After implementation of an electronic ordering process we identified that 37/196 (19%) patients had an armband that did not reflect their documented wishes versus 2/103 (2%) after integration of automated armband printing into the process (p<0.001). No armband discrepancies were found after the first two weeks of post-implementation audits. Conclusions Design and implementation of an electronic ordering and armband labeling process reduced discrepancies between patient wishes and the armband labeling of the patient's desired DNR status. It is anticipated that these improvements will reduce the risk of adverse outcomes, and better align clinical processes with patient wishes.

Background: Communication breakdowns are a common cause of adverse events in high consequence industries. It has become increasingly evident that within healthcare systems that poor communication is the causal factor of a large percentage of sentinel events. Methods: All communication exchanges between surgeon and perfusionist were monitored via observation for 18 cardiovascular surgery cases. Breakdowns were analyzed by stage and type of breakdown and a communication protocol designed based on the breakdowns. The protocol was then implemented, and use of the protocol was then monitored for 16 cardiovascular surgery cases. Results: Breakdowns decreased at each stage of cardiovascular surgery. Specific types of breakdowns decreased dramatically, most by more than half. Conclusions: This study shows that protocolizing communication can have a profound impact on communication breakdowns in the cardiovascular surgery operating theatre.

Background: Many researchers have previously explored the correlation between surgical flow disruptions (distractions and interruptions) and error in cardiac surgery, however there is no reliable tool to prospectively categorize surgical flow disruptions and the conditions that predispose a surgical team to error. Methods and Results: Two independent raters of different medical and human factors expertise observed 12 cardiovascular operations and iteratively designed a tool to characterize surgical flow disruptions and the latent factors that contribute to error. Categories to characterize surgical flow disruptions were based on human factors models of human error. Following the design period, both raters observed 10 surgical cases using the tool, to assess validity and inter-rater reliability. Rating agreement (weighted kappa) for each category across the 10 surgeries was moderate to very high, resulting in strong inter-rater reliability for each category on the surgical flow disruption tool (SFDT). Conclusions: This research depicts the development and utility of a tool to analyze surgical flow disruptions in the cardiovascular operating room with satisfactory inter-rater reliability. This tool is an important first step in systematically categorizing and measuring surgical flow disruptions and their impact on patient safety in the operating room.