A model for increasing patient safety in the intensive care unit: increasing the implementation rates of proven safety measures.

BACKGROUND: Few published data exist with respect to current implementation of interventions that increase patient safety in intensive care units (ICUs) Furthermore, even less published data exist that address implementation of outcome-related methodologies of patient safety interventions in ICUs. OBJECTIVE: The purpose of this study was threefold: (1) to increase implementation rates of known, evidence-based interventions in the Dartmouth Hitchcock Medical Center (DHMC) ICU that have been demonstrated to reduce morbidity and mortality in critically ill patients; (2) to develop a durable and reproducible intervention model that can be applied not only to various aspects of ICU medicine but to any healthcare microsystem that is process oriented; and (3) to design an "ICU-specific" value compass. DESIGN: Using a before/after study design, the interventions involved: (1) establishing a systematic approach to integrate the delivery of proven ICU safety measures; (2) using the design of the various tools to develop a method for team communication and team building; (3) incorporating prompts into a ICU progress note for the healthcare team to address three evidence-based measures on a daily basis; and (4) using a data wall to demonstrate progress and to provide "real-time" feedback for error correction. SETTING AND PARTICIPANTS: In the before and after study, two groups of 40 consecutive patients admitted to DHMC's Intensive Care Unit were evaluated. The first group of patients was admitted between April and May of 2003. The second group of 40 patients was admitted between May and June of 2004. To ensure process stability, control data were also collected on patients at an interval time point between these two groups. MAIN OUTCOME MEASURES: Three evidence-based interventions were identified that reduce the likelihood of adverse events resulting simply from an ICU stay: (1) prophylaxis against venous thrombo-embolic disease (venous thromboembolism or deep vein thrombosis); (2) prophylaxis against ventilator-associated pneumonia (VAP); and (3) prophylaxis against stress-ulcers (SU). Two data points were obtained per patient per day corresponding to the work shift schedule in the ICU. The unit of measure was patient-shift observation. A limited data set was collected before implementing the change package to ensure system stability. RESULTS: Both traditional statistical analysis and statistical process control (SPC) were used to evaluate the results. For each metric, it was possible to demonstrate an increase in the measure of the mean, reduced point-to-point variation as well as a substantial narrowing of the control limits indicating improved process control. LIMITATIONS: By virtue of the involvement of the researcher in the data collection for the control group, the potential existed for methodological bias by acting on the information collected. There was also the lack of a cohesive data structure from which to collect information (ie, the hospital computer speaks one language, the ventilator a second and the monitoring systems a third). CONCLUSIONS: A model for changing the ICU microsystem at DHMC was created that enabled successful implementation of evidence-based measures by maximising the natural flow of work and fostering a team-based culture to improve patient safety. Unique to this method and unlike currently available methods that define only the delivery of the appropriate intervention as success, system success was defined in terms of both true positives, namely delivering care when it is indicated, as well as true negatives, not delivering care when there is none indicated, to offer a more comprehensive system review. Additionally, the method of data collection allowed simplified defect analysis, thereby eliminating a resource-consuming audit of data after the fact. This approach, therefore, provides a basis for adapting and redesigning the PDSA cycle so as to specifically apply this type of "disciplinary" work.

Survival of patients transferred to tertiary intensive care from rural community hospitals.

BACKGROUND: Accessibility to tertiary intensive care resources differs among hospitals within a rural region. Determining whether accessibility is associated with outcome is important for understanding the role of regionalization when providing critical care to a rural population. METHODS: In a prospective design, we identified and recorded the mortality ratio, percentage of unanticipated deaths, length of stay in the intensive care unit (ICU), and survival time of 147 patients transferred directly from other hospitals and 178 transferred from the wards within a rural tertiary-care hospital. RESULTS: The two groups did not differ significantly in the characteristics measured. Differences in access to tertiary critical care in this rural region did not affect survival or length of stay after admission to this tertiary ICU. The odds ratio (1.14; 95% confidence interval 0.72-1.83) for mortality associated with transfer from a rural community hospital was not statistically significant. CONCLUSIONS: Patients at community hospitals in this area who develop need for tertiary critical care are just as likely to survive as patients who develop ICU needs on the wards of this rural tertiary-care hospital, despite different accessibility to tertiary intensive-care services.

Lowest hematocrit on bypass and adverse outcomes associated with coronary artery bypass grafting. Northern New England Cardiovascular Disease Study Group.

BACKGROUND: Cardiac surgery patients' hematocrits frequently fall to low levels during cardiopulmonary bypass. METHODS: We investigated the association between nadir hematocrit and in-hospital mortality and other adverse outcomes in a consecutive series of 6,980 patients undergoing isolated coronary artery bypass graft surgery. The lowest hematocrit during cardiopulmonary bypass was recorded for each patient. Patients were divided into categories based on their lowest hematocrit. Women had a lower hematocrit during bypass than men but both sexes are represented in each category. RESULTS: After adjustment for preoperative differences in patient and disease characteristics, the lowest hematocrit during cardiopulmonary bypass was significantly associated with increased risk of in-hospital mortality, intra- or postoperative placement of an intraaortic balloon pump and return to cardiopulmonary bypass after attempted separation. Smaller patients and those with a lower preoperative hematocrit are at higher risk of having a low hematocrit during cardiopulmonary bypass. CONCLUSIONS: Female patients and patients with smaller body surface area may be more hemodiluted than larger patients. Minimizing intraoperative anemia may result in improved outcomes for this subgroup of patients.

Predicting the risk of death from heart failure after coronary artery bypass graft surgery.

UNLABELLED: Heart failure is the most common cause of death among coronary artery bypass graft (CABG) patients. In addition, most variation in observed mortality rates for CABG surgery is explained by fatal heart failure. The purpose of this study was to develop a clinical risk assessment tool so that clinicians can rapidly and easily assess the risk of fatal heart failure while caring for individual patients. Using prospective data for 8,641 CABG patients, we used logistic regression analysis to predict the risk of fatal heart failure. In multivariate analysis, female sex, prior CABG surgery, ejection fraction <40%, urgent or emergency surgery, advanced age (70-79 yr and >80 yr), peripheral vascular disease, diabetes, dialysis-dependent renal failure and three-vessel coronary disease were significant predictors of fatal postoperative heart failure. A clinical risk assessment tool was developed from this logistic regression model, which had good discriminating characteristics (receiver operating characteristic clinical source = 0.75, 95% confidence interval: 0.71, 0.78). IMPLICATIONS: In contrast to previous cardiac surgical scoring systems that predicted total mortality, we developed a clinical risk assessment tool that evaluates risk of fatal heart failure. This distinction is relevant for quality improvement initiatives, because most of the variation in CABG mortality rates is explained by postoperative heart failure.

Specific elements of a new hemodynamics display improves the performance of anesthesiologists.

OBJECTIVE: We tested the hypothesis that a monitoring display proposed by Blike et al. improves the performance of anesthesiologists. We measured the performance of anesthesiologists using the new display and compared it to their performance with a traditional display. We studied three different displays on how they affected recognition and differentiation of five etiologies of shock-anaphylaxis, bradycardia, hypovolemia, ischemia and pulmonary embolus. METHODS: The participants monitored heart rate, systemic arterial and pulmonary blood pressure, central venous pressure, and cardiac output during five shock states and five non-shock states. The resulting 10 data sets made up ten decision screens, which we presented randomly on a computer monitor to the subjects in one of three different formats (a Single Sensor Single Indicator (SSSI) Numeric display; an Object display; and an Object Minus Shapes display). Subjects used soft-buttons on a computer touch-screen monitor to: a) advance to the next display; b) differentiate a non-shock state from a shock state; and, c) select the etiology of shock state represented by the display (Figure 4). The internal clock and memory of the computer made the collection of data automatic. RESULTS: The subjects recognized a problem more rapidly with the help of a graphical "pointer on a reference scale" in both Object displays, but their accuracy had not improved in comparison to the SSSI Numeric display. The shape of the Object display improved performance of etiology determination compared to the Object Minus Shapes display and SSSI Numeric display. Testing (10 trials) was completed in less than 45 minutes. CONCLUSIONS: The new display with "emergent features" can improve the diagnostic performance of clinicians.

A graphical object display improves anesthesiologists' performance on a simulated diagnostic task.

OBJECTIVE: This study tests the hypothesis that a graphical object display (a data display consisting of meaningful shapes) will affect the ability of anesthesiologists to perform a diagnostic task rapidly and correctly. The diagnostic tasks studied were recognition and differentiation of five etiologies of shock--anaphylaxis, bradycardia, myocardial ischemia, hypovolemia, pulmonary embolus. METHODS: Data sets consisting of HR, Systemic Arterial BP, Pulmonary Arterial BP, CVP, and Cardiac Output were generated for five shock states and five non-shock states. The resulting 10 data sets were presented on a computer monitor to study subjects twice (first in an alpha-numeric format and then in the object format) for a total of twenty decision screens. Subjects used soft-buttons on a computer touch-screen monitor to: a) advance to the next display; b) differentiate a non-shock state from a shock state; and, c) select the etiology of shock state represented by the display (Figure 2). Data collection was automatic, using the internal clock and memory of the computer. RESULTS: Eleven anesthesiologists participated in this study. They completed a total of 3060 diagnostic decisions, half with each display format. Performance measures were time to decision and diagnostic accuracy. The object display improved no-shock recognition by 1.0 second and shock etiology determination by 1.4 seconds (p < 0.05). The object display also significantly improved accuracy for shock recognition by 1.4% and etiology determination by 4.1% (p < 0.05). Testing was completed in a time interval of <45 min per 10 trials. CONCLUSIONS: The primary finding of this study was that anesthesiologists using the object display format committed significantly fewer diagnostic errors when interpreting physiologic data. In addition, both the recognition of no-shock and the diagnosis of shock etiology were completed more rapidly when the object display was used. The major limitation of this initial trial is the simplicity of the test. Future investigation of the impact of the display on clinical decision making will require more realistic clinical scenarios with partial or full simulation to better understand the potential clinical impact.