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1.
J Nurs Care Qual ; 34(4): 318-324, 2019.
Article in English | MEDLINE | ID: mdl-30585981

ABSTRACT

BACKGROUND: The quick-Sequential Organ Failure Assessment (qSOFA) criteria are recommended for identifying non-intensive care unit (ICU) patients at risk for sepsis but are underutilized. LOCAL PROBLEM: We hypothesized that education on recognizing sepsis using qSOFA criteria and empowering nurses to trigger rapid response team (RRT) calls based on positive qSOFA scores would reduce time to recognition and time to intervention and improve treatment compliance in non-ICU patients. METHODS: The methods involved a descriptive retrospective review of 60 sepsis patients (30 pre- and 30 posteducation) to determine sepsis recognition time (qSOFA-to-RRT); time-to-sepsis interventions (reported as median [interquartile range] hours); and percent compliance with interventions. INTERVENTIONS: We provided qSOFA and sepsis education to more than 1000 nurses, physicians, and advanced practice providers in a large tertiary hospital. RESULTS: Posteducation, time to recognition (qSOFA-to-RRT) improved from 11.8 hours (3.4, 34.3) pre to 1.7 (0, 11.7) post (P = .005). Time from qSOFA to antibiotics improved from 1.4 hours (2.4, 6.2) pre to -4.7 (-25.4, 1.8) hours post (P < .01). Using qSOFA, compliance improved for antibiotics from 60% pre to 87% post (P = .02).


Subject(s)
Mass Screening , Nursing Staff, Hospital/education , Organ Dysfunction Scores , Sepsis/diagnosis , Time-to-Treatment/statistics & numerical data , Adult , Hospital Mortality , Hospital Rapid Response Team/statistics & numerical data , Humans , Middle Aged , Retrospective Studies , Trauma Centers
2.
Int J Emerg Med ; 11(1): 26, 2018 Apr 27.
Article in English | MEDLINE | ID: mdl-29704128

ABSTRACT

BACKGROUND: Inefficient processes of care delivery during acute resuscitation can compromise the "Golden Hour," the time when quick interventions can rapidly determine the course of the patient's outcome. Checklists have been shown to be an effective tool for standardizing care models. We developed a novel electronic tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) to facilitate standardized evaluation and treatment approach for acutely decompensating patients. The checklist was enforced by the use of a "prompter," a team member separate from the leader who records and reviews pertinent CERTAIN algorithms and verbalizes these to the team. Our hypothesis was that the CERTAIN model, with the use of the tool and a prompter, can improve clinician performance and satisfaction in the evaluation of acute decompensating patients in a simulated environment. METHODS: Volunteer clinicians with valid adult cardiac life support (ACLS) certification were invited to test the CERTAIN model in a high-fidelity simulation center. The first session was used to establish a baseline evaluation in a standard clinical resuscitation scenario. Each subject then underwent online training before returning to a simulation center for a live didactic lecture, software knowledge assessment, and practice scenarios. Each subject was then evaluated on a scenario with a similar content to the baseline. All subjects took a post-experience satisfaction survey. Video recordings of the pre-and post-test sessions were evaluated using a validated method by two blinded reviewers. RESULTS: Eighteen clinicians completed baseline and post-education sessions. CERTAIN prompting was associated with reduced omissions of critical tasks (46 to 32%, p < 0.01) and 12 out of 14 general assessment tasks were completed in a more timely manner. The post-test survey indicated that 72% subjects felt better prepared during an emergency scenario using the CERTAIN model and 85% would want to be treated with the CERTAIN if they were critically ill. CONCLUSION: Prompting with electronic checklist improves clinicians' performance and satisfaction when dealing with medical emergencies in high-fidelity simulation environment.

3.
Qual Manag Health Care ; 27(1): 50-55, 2018.
Article in English | MEDLINE | ID: mdl-29280908

ABSTRACT

Rapid response teams (RRTs) were implemented to provide critical care services for deteriorating patients outside of intensive care units. To date, research on RRT has been conflicting, with some studies showing significant mortality benefit and reduction in cardiac arrest events and others showing no benefit. However, studies have consistently showed improved outcomes when RRTs work closely with primary services. Baseline data analysis at our institution found that primary services were present only on 50% of RRT activations. This quality improvement project aimed to improve the presence of primary services during RRT activations by 25%. With a survey, the main barrier that prevented primary services to be present was identified as the primary services' failure to recognize them as a crucial part of the RRT. Education tools and in-person sessions were implemented reinforcing the importance of primary services presence during RRT activations. The intervention leads to increasing presence of primary services at RRT activations, transfers to higher level of care, and changes in code status. However, there was no difference in hospital or intensive care unit length of stay or in survival.


Subject(s)
Patient Care Team/organization & administration , Quality Improvement/organization & administration , Clinical Deterioration , Group Processes , Hospital Rapid Response Team/organization & administration , Humans , Inservice Training , Practice Guidelines as Topic
4.
Am J Med Qual ; 32(4): 376-383, 2017.
Article in English | MEDLINE | ID: mdl-27329489

ABSTRACT

With the ever-increasing adoption of shift models for intensive care unit (ICU) staffing, improving shift-to-shift handoffs represents an important step in reducing medical errors. The authors developed an electronic handoff tool integrated within the existing electronic medical record to improve handoffs in an adult ICU. First, stakeholder (staff intensivists, fellows, and nurse practitioners/physician assistants) input was sought to define what elements they perceived as being essential to a quality handoff. The principal outcome measure of handoff accuracy was the concordance between data transmitted by the outgoing team and data received by the incoming team (termed as agreement). Based on stakeholder input, the authors developed the handoff tool and provided regular education on its use. Handoffs were observed before and after implementation of the tool. There was an increase in the level of agreement for tasks and other important data points handed off without an increase in the time required to complete the handoff.


Subject(s)
Critical Care/organization & administration , Electronic Health Records/organization & administration , Intensive Care Units/organization & administration , Patient Handoff/standards , Quality Improvement/organization & administration , Critical Care/standards , Electronic Health Records/standards , Humans , Intensive Care Units/standards , Medical Errors/prevention & control , Personnel, Hospital
5.
Sleep Med Clin ; 11(2): 257-64, 2016 Jun.
Article in English | MEDLINE | ID: mdl-27236061

ABSTRACT

Chronic obstructive pulmonary disease (COPD) is a common disease affecting about 20 million US adults. Sleep-disordered breathing (SDB) problems are frequent and poorly characterized for patients with COPD. Both the well-known success of noninvasive ventilation (NIV) in the acute COPD exacerbation in the hospital setting and that NIV is the cornerstone of chronic therapy for SDBs have urged the attention of the medical community to determine the impact of NIV on chronic COPD management with and without coexisting SDBs. Early observational studies showed decreased long-term survival rates on patients with COPD with concomitant chronic hypercapnia when compared with normocapnic patients.


Subject(s)
Pulmonary Disease, Chronic Obstructive/complications , Sleep Apnea Syndromes/therapy , Humans , Sleep Apnea Syndromes/etiology
6.
Am J Infect Control ; 44(6): 661-5, 2016 06 01.
Article in English | MEDLINE | ID: mdl-26899526

ABSTRACT

BACKGROUND: The purpose of this study was to develop an electronic search algorithm which reliably differentiates infectious and noninfectious ventilator-associated events (VAEs). This was a retrospective cohort study used to derive a predictive model. It took place at a tertiary care hospital campus. METHODS: Participants included all ventilated patients who met the Centers for Disease Control and Prevention's National Health Safety Network definitions for VAEs between January 1, 2012, and December 31, 2013. There were 164 patients who experienced 185 VAEs in the study period. RESULTS: The most predictive variables were fever 2 days before VAE onset, oxygenation changes, and appearance of respiratory secretions. No other variable, including laboratory tests, radiologic findings, and vital sign values, reached statistical significance. A multivariate regression model was constructed, with 68% sensitivity and 75% specificity (receiver operator characteristic area under the curve [ROC-AUC], 0.83). This was modestly better than the clinical pulmonary infection score (CPIS), which had sensitivity of 50%, specificity of 59%, and ROC-AUC of 0.60. CONCLUSIONS: Although diagnosis of VAEs remains challenging, our data indicate that clinical signs and symptoms of a VAE may be present up to 2 days before they screen positive. Sputum, fever, and oxygenation requirements all were indicative, but aggregate models failed to create a sensitive and specific model for differentiation of VAEs. The existing clinical tool, the CPIS, is also insufficiently sensitive and specific. Further research is needed to create a clinically viable tool for differentiating VAE types at the bedside.


Subject(s)
Decision Support Techniques , Pneumonia, Ventilator-Associated/diagnosis , Respiration, Artificial/adverse effects , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Pneumonia, Ventilator-Associated/pathology , Retrospective Studies , Sensitivity and Specificity , Tertiary Care Centers
7.
BMC Emerg Med ; 16: 4, 2016 Jan 15.
Article in English | MEDLINE | ID: mdl-26772732

ABSTRACT

BACKGROUND: Critical illness is a time-sensitive process which requires practitioners to process vast quantities of data and make decisions rapidly. We have developed a tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), aimed at enhancing care delivery in such situations. To determine the efficacy of CERTAIN and similar cognitive aids, we developed rubric for evaluating provider performance in a simulated medical resuscitation environments. METHODS: We recruited 18 clinicians with current valid ACLS certification for evaluation in three simulated medical scenarios designed to mimic typical medical decompensation events routinely experienced in clinical care. Subjects were stratified as experienced or novice based on prior critical care training. A checklist of critical actions was designed using face validity for each scenario to evaluate task completion and performance. Simulation sessions were video recorded and scored by two independent raters. Construct validity was assessed under the assumption that experienced clinicians should perform better than novice clinicians on each task. Reliability was assessed as percentage agreement, kappa statistics and Bland-Altman plots as appropriate. RESULTS: Eleven experts and seven novices completed evaluation. The overall agreement on common checklist item completion was 84.8 %. The overall model achieved face validity and was consistent with our construct, with experienced clinicians trending towards better performance compared to novices for accuracy and speed of task completion. CONCLUSIONS: A standardized video assessment tool has potential to provide a valid and reliable method to assess 12 performances of clinicians facing simulated medical emergencies.


Subject(s)
Checklist , Clinical Competence/standards , Critical Care , Humans , Program Development , Prospective Studies
8.
J Crit Care ; 30(2): 353-7, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25466318

ABSTRACT

PURPOSE: The purpose of the study is to evaluate the impact of primary service involvement on rapid response team (RRT) evaluations. MATERIALS AND METHODS: The study is a combination of retrospective chart review and prospective survey-based evaluation. Data included when and where the activations occurred and the patient's code status, primary service, and ultimate disposition. These data were correlated with survey data from each event. A prospective survey evaluated the primary team's involvement in decision making and the overall subjective quality of the interaction with primary service through a visual analog scale. RESULTS: We analyzed 4408 RRTs retrospectively and an additional 135 prospectively. The primary team's involvement by telephone or in person was associated with significantly more transfers to higher care levels in retrospective (P < .01) and prospective data sets. Code status was addressed more frequently in primary team involvement, with more frequent changes seen in the retrospective analysis (P = .01). Subjective ratings of communication by the RRT leader were significantly higher when the primary service was involved (P < .001). CONCLUSIONS: Active primary team involvement influences RRT activation processes of care. The RRT role should be an adjunct to, but not a substitute for, an engaged and present primary care team.


Subject(s)
Hospital Rapid Response Team/organization & administration , Primary Health Care , Aged , Communication , Decision Making , Female , Humans , Male , Middle Aged , Physicians, Primary Care , Process Assessment, Health Care
9.
J Eval Clin Pract ; 20(4): 348-51, 2014 Aug.
Article in English | MEDLINE | ID: mdl-24779527

ABSTRACT

RATIONALE, AIMS AND OBJECTIVES: Checklists have been adopted by various institutions to improve patient outcomes. In particular, readmission prevention checklists may be of potential value to improve patient care and reduce medical costs. As a result, a prior quality improvement study was conducted to create an intensive care unit readmission prevention checklist. The previous pilot demonstrated zero readmissions when the readmission prevention checklist was utilized but yielded low compliance (30%). Thus, a subsequent quality initiative was undertaken to refine the readmission prevention checklist with the primary aim of improved compliance while maintaining a reduced readmission rate that was observed with the original quality improvement study. METHOD: A single-centre, cross-sectional study for assessing baseline data and a prospective observational study to assess the effectiveness of a refined readmission prevention checklist tool in a 20-bed tertiary medical-surgical intensive care unit at an academic medical centre in Rochester, MN was conducted. Medical patients admitted through the emergency department, upon direct transfer from outside facility, and post-operative surgical patients at our institution were included. A refined readmission prevention checklist tool was administered during an 8-week pilot period for medical and post-operative surgical patients. RESULTS: The refined readmission prevention checklist resulted in an even lower compliance (10.5%) from the initial phase likely resulting from utilization of a paper readmission prevention checklist in an electronic medical environment. Moreover, the refined readmission prevention checklist demonstrated a 22% unplanned readmission rate for patients in which the tool was utilized. CONCLUSIONS: In conclusion, the findings of the current quality improvement study may serve to rethink the process of health care delivery that applies paper tools in an electronic medical environment.


Subject(s)
Checklist/standards , Intensive Care Units , Patient Readmission , Academic Medical Centers , Cross-Sectional Studies , Humans , Minnesota , Pilot Projects , Prospective Studies , Quality Assurance, Health Care , Surveys and Questionnaires
10.
J Crit Care ; 29(4): 495-9, 2014 Aug.
Article in English | MEDLINE | ID: mdl-24746109

ABSTRACT

INTRODUCTION: The prognostic implications of myocardial dysfunction in patients with sepsis and its association with mortality are controversial. Several tools have been proposed to evaluate cardiac function in these patients, but their usefulness beyond guiding therapy is unclear. We review the value of echocardiographic estimate of left ventricular ejection fraction (LVEF) in the setting of severe sepsis and/or septic shock and its correlation with 30-day mortality. METHODS: We conducted a systematic review and meta-analysis to evaluate the prognostic functionality of newly diagnosed LV systolic dysfunction by transthoracic echocardiography on critical ill patients admitted to the intensive care unit with severe sepsis or septic shock. RESULTS: A search of EMBASE and PubMed, Ovide MEDLINE, and Cochrane CENTRAL medical databases yielded 7 studies meeting inclusion criteria reporting on a total of 585 patients. The pooled sensitivity of depressed LVEF for mortality was 52% (95% confidence interval [CI], 29%-73%), and pooled specificity was 63% (95% CI, 53%-71%). Summary receiver operating characteristic curve showed an area under the curve of 0.62 (95% CI, 0.58-0.67). The overall mortality diagnostic odd ratio for septic patients with LV systolic dysfunction was 1.92 (95% CI, 1.27-2.899). Statistical heterogeneity of studies was moderate. CONCLUSION: The presence of new LV systolic dysfunction associated with sepsis and defined as low LVEF is neither a sensitive nor a specific predictor of mortality. These findings are limited because of the heterogeneity and underpower of the studies. Further research into this method is warranted.


Subject(s)
Sepsis/physiopathology , Stroke Volume/physiology , Ventricular Dysfunction, Left/physiopathology , Area Under Curve , Confidence Intervals , Echocardiography/methods , Humans , Intensive Care Units , Prognosis , ROC Curve , Sepsis/mortality , Shock, Septic/mortality , Shock, Septic/physiopathology , Systole/physiology , Ventricular Dysfunction, Left/diagnostic imaging , Ventricular Dysfunction, Left/mortality , Ventricular Function, Left
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