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PURPOSE: The purpose of this project was to standardize vital sign (VS) monitoring throughout a patient's stay in the hospital, including at admission, following transitions to different levels of care, reassessment of abnormal VS results, daily monitoring, and before dismissal. The population of focus was adult general and progressive care patients. DESCRIPTION OF THE PROJECT: Standards for VS monitoring, documentation, and provider notification were established. Unit routines, nursing procedural guidelines, and order sets were updated with the new standards. Nursing staff received Web-based education. Compliance with the new standards was monitored monthly, and data were shared with nursing leadership. Leadership reviewed the data with nursing staff to identify opportunities and recognize achievements. OUTCOMES: Overall, improvement in VS documentation was achieved. Continued opportunities exist for monitoring and reassessment of a full set of VSs after an abnormal result. CONCLUSION: Establishing a minimum standard of VS frequency and documentation allows for all healthcare providers to trend and monitor a patient's clinical status. Variability in patient care can be diminished by establishing minimum standards of VS monitoring.

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PURPOSE/OBJECTIVES: This article describes how a large healthcare organization expanded the practice of clinical nurse specialists from the hospital to the ambulatory setting. BACKGROUND: Clinical nurse specialist practice traditionally focused on actualizing the 3 spheres of influence (patient, nurse, and organization) in the hospital setting. RATIONALE: Changes in the healthcare system shifting patient care to the ambulatory setting created opportunities for clinical nurse specialists to improve patient outcomes in this setting. DESCRIPTION: An innovation framework from the Mayo Clinic Center for Innovation based on inspiration, generation of ideas, experimenting, and diffusion was used to assess and prioritize the work of clinical nurse specialists in the ambulatory setting. OUTCOMES: Clinical nurse specialists became integral members of hospital and ambulatory nursing leadership. In the ambulatory setting, they are partnering to standardize patient care, providing tools for nurses to practice to full scope, and identifying and providing solutions for patient safety issues. CONCLUSION: Aligning clinical nurse specialists in the hospital and ambulatory care settings allows partnership with multidisciplinary teams to ensure that evidence-based practices and standardized care are infused across the continuum of care. IMPLICATIONS: Evidence-based practices and standardized care encourage nurses to practice to full scope and focus on improved patient outcomes.

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OBJECTIVE: The benefit of continuous on-site presence by a staff academic critical care specialist in the intensive care unit of a teaching hospital is not known. We compared the quality of care and patient/family and provider satisfaction before and after changing the staffing model from on-demand to continuous 24-hr critical care specialist presence in the intensive care unit. DESIGN: Two-year prospective cohort study of patient outcomes, processes of care, and family and provider survey of satisfaction, organization, and culture in the intensive care unit. SETTING: Intensive care unit of a teaching hospital. PATIENTS: Consecutive critically ill patients, their families, and their caregivers. INTERVENTIONS: Introduction of night-shift coverage to provide continuous 24-hr on-site, as opposed to on-demand, critical care specialist presence. MEASUREMENTS AND MAIN RESULTS: Of 2,622 patients included in the study, 1,301 were admitted before and 1,321 after the staffing model change. Baseline characteristics and adjusted intensive care unit and hospital mortality were similar between the two groups. The nonadherence to evidence-based care processes improved from 24% to 16% per patient-day after the staffing change (p = .002). The rate of intensive care unit complications decreased from 11% to 7% per patient-day (p = .023). When adjusted for predicted hospital length of stay, admission source, and do-not-resuscitate status, hospital length of stay significantly decreased during the second period (adjusted mean difference -1.4, 95% confidence interval -0.3 to -2.5 days, p = .017). The new model was considered optimal for patient care by the majority of the providers (78% vs. 38% before the intervention, p < .001). Family satisfaction was excellent during both study periods (mean score 5.87 +/- 1.7 vs. 5.95 +/- 2.0, p = .777). CONCLUSIONS: The introduction of continuous (24-hr) on-site presence by a staff academic critical care specialist was associated with improved processes of care and staff satisfaction and decreased intensive care unit complication rate and hospital length of stay.

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OBJECTIVE: To determine health care preferences expressed by patients in advance directives (ADs) and to identify characteristics of patients who completed them. PATIENTS AND METHODS: A computer-generated random sample of 500 patients was selected from the 25,865 (margin of error, +/- 4.34%) unique patients who submitted ADs to Mayo Clinic Rochester between January 1, 2004, and July 1, 2005. After excluding 24 (4.8%) patients who had submitted documents related to financial and property matters instead of ADs, we analyzed the contents of the 476 ADs and the demographic features of the patients to whom the documents belonged. RESULTS: The median (range) age of the patients at the time they signed their respective ADs was 67 (19-97) years. Of the 476 study patients, 409 (91.3%) were high school graduates; 339 (71.2%) had submitted a combined AD, which has features of a living will and a health care power of attorney; 434 (91.2%) had designated a health care agent; and most had granted the agent powers to consent for procedures (340 [78.3%]), to access information (327 [75.3%]), and to withhold and withdraw life-sustaining treatments (337 [77.6%]). Most patients expressed a desire for pain control (308 [64.7%]). For the clinical situations of dying or permanent unconsciousness, most patients explicitly expressed a preference to avoid "general life support" (371 [77.9%]) but did not explicitly address common life-sustaining treatments, including cardiopulmonary resuscitation, mechanical ventilation, hemodialysis, blood transfusion, and artificial nutrition and hydration (if they did, nearly all expressed a preference to avoid the treatments). CONCLUSION: In ADs submitted to our institution, most patients designated a health care agent and granted the agent broad decision-making powers. Although most expressed a desire to avoid "general life support" if dying or permanently unconscious, few expressed preferences regarding specific life-sustaining treatments. Patients, clinicians, and others who use ADs, and investigators contemplating research involving ADs, might find these results informative.

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BACKGROUND: Sustained hyperglycemia is a known risk factor for adverse outcomes in critically ill patients. The specific aim was to determine if a nurse initiated insulin infusion protocol (IIP) was effective in maintaining blood glucose values (BG) within a target goal of 100-150 mg/dL across different intensive care units (ICUs) and to describe glycemic control during the 48 hours after protocol discontinuation. METHODS: A descriptive, retrospective review of 366 patients having 28,192 blood glucose values in three intensive care units, Surgical Trauma Intensive Care Unit (STICU), Medical (MICU) and Coronary Care Unit (CCU) in a quaternary care hospital was conducted. Patients were > 15 years of age, admitted to STICU (n = 162), MICU (n = 110) or CCU (n = 94) over 8 months; October 2003-June 2004 and who had an initial blood glucose level > 150 mg/dL. We summarized the effectiveness and safety of a nurse initiated IIP, and compared these endpoints among STICU, MICU and CCU patients. RESULTS: The median blood glucose values (mg/dL) at initiation of insulin infusion protocol were lower in STICU (188; IQR, 162-217) than in MICU, (201; IQR, 170-268) and CCU (227; IQR, 178-313); p < 0.0001. Mean time to achieving a target glucose level (100-150 mg/dL) was similar between the three units: 4.6 hours in STICU, 4.7 hours in MICU and 4.9 hours in CCU (p = 0.27). Hypoglycemia (BG < 60 mg/dL) occurred in 7% of STICU, 5% of MICU, and 5% of CCU patients (p = 0.85). Protocol violations were uncommon in all three ICUs. Mean blood glucose 48 hours following IIP discontinuation was significantly different for each population: 142 mg/dL in STICU, 167 mg/dL in MICU, and 160 mg/dL in CCU (p < 0.0001). CONCLUSION: The safety and effectiveness of nurse initiated IIP was similar across different ICUs in our hospital. Marked variability in glucose control after the protocol discontinuation suggests the need for further research regarding glucose control in patients transitioning out of the ICU.

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RATIONALE: Acute lung injury (ALI) that develops 6 hours after transfusion (TRALI) is the leading cause of transfusion-related mortality. Several transfusion characteristics have been postulated as risk factors for TRALI, but the evidence is limited to retrospective studies. OBJECTIVES: To compare patient and transfusion risk factors between patients who do and do not develop ALI. METHODS: In this prospective cohort study, consecutive transfused critically ill patients were closely observed for development of ALI. Donor samples were collected from the transfusion bags. Risk factors were compared between patients who developed ALI after transfusion and transfused control patients, matched by age, sex, and admission diagnosis. MEASUREMENTS AND MAIN RESULTS: Seventy-four of 901 transfused patients developed ALI within 6 hours of transfusion (8%). Compared with transfused control subjects, patients with ALI were more likely to have sepsis (37 vs. 22%, P = 0.016) and a history of chronic alcohol abuse (37 vs. 18%, P = 0.006). When adjusted for patient characteristics, transfusion of plasma from female donors (odds ratio [OR], 5.09; 95% confidence interval [95% CI], 1.37-18.85) rather than male donors (OR, 1.60; 95% CI, 0.76 to 3.37), number of pregnancies among the donors (OR, 1.19; 95% CI, 1.05 to 1.34), number of donor units positive for anti-granulocyte antibodies (OR, 4.85; 95% CI, 1.32-17.86) and anti-HLA class II antibodies (OR, 3.08; 95% CI, 1.15-8.25), and concentration of lysophosphatidylcholine in the donor product (OR, 1.69; 95% CI, 1.10 to 2.59) were associated with the development of ALI. CONCLUSIONS: Both patient and transfusion risk factors determine the probability of ALI after transfusion. Transfusion factors represent attractive targets for the prevention of ALI.

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OBJECTIVE: The implementation of evidence-based practice poses a significant challenge in the intensive care unit. In this quality improvement intervention we assessed the effect of an institutional protocol and computerized decision support for red cell transfusion in the critically ill. DESIGN: We compared processes of care and outcomes during the two 3-month periods before and after the introduction of a multidisciplinary quality improvement intervention. SETTING: Multidisciplinary intensive care units--medical, surgical, and mixed--in a tertiary academic center. PATIENTS: Consecutive critically ill patients with anemia (hemoglobin of <10 g/dL). INTERVENTION: Using the computerized provider order entry, we developed an evidence-based decision algorithm for red cell transfusion in adult intensive care units. MEASUREMENTS AND MAIN RESULTS: We collected information on demographics, diagnosis, severity of illness, transfusion complications, and laboratory values. The main outcome measures were number of transfusions, proportion of patients who were transfused outside evidence-based indications, transfusion complications, and adjusted hospital mortality. The mean number of red cell transfusions per intensive care unit admission decreased from 1.08 +/- 2.3 units before to 0.86 +/- 2.3 units after the protocol (p<.001). We observed a marked decrease in the percentage of patients receiving inappropriate transfusions (17.7% vs. 4.5%, p< .001). The rate of transfusion complications was also lower in the period after the protocol (6.1% vs. 2.7%, p = .015). In the multivariate analysis, protocol introduction was associated with decreased likelihood of red cell transfusion (odds ratio, 0.43; 95% confidence interval, 0.30 to 0.62). Adjusted hospital mortality did not differ before and after protocol implementation (odds ratio, 1.12; 95% confidence interval, 0.69 to 1.8). CONCLUSIONS: The implementation of an institutional protocol and decision support through a computerized provider order entry effectively decreased inappropriate red cell transfusions.

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