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Koni Ngo

Publications and source records attributed to Koni Ngo.

2 recordsLinked to original sources

Developing and pilot testing quality indicators in the intensive care unit.

PURPOSE: To develop and implement a set of valid and reliable yet practical measures of intensive care units (ICU) quality of care in a cohort of ICUs and to estimate, based on current performance, the potential opportunity to improve quality. METHODS: We included 13 adult medical and surgical ICUs in urban community teaching and community hospitals. To monitor performance on previously identified quality measures, we developed 3 data collection tools: the Team Leader, Daily Rounding, and Infection Control forms. These tools were pilot tested, validated, and modified before implementation. We used published estimates of efficacy to estimate the clinical and economic effect of our current performance for each of the process measures: appropriate sedation, prevention of ventilator-associated pneumonia, appropriate peptic ulcer disease (PUD) prophylaxis, appropriate deep venous thrombosis (DVT) prophylaxis, and appropriate use of blood transfusions. RESULTS: Performance varied widely among the 13 ICUs and within ICUs. The median percentage of days in which ventilated patients received therapies that ought to was 64% for appropriate sedation, 67% for elevating head of bed, 89% for PUD prophylaxis, and 87% for DVT prophylaxis. The median rate of appropriate transfusion was 33%. The failure to use these therapies may lead to excess morbidity, mortality, and ICU length of stay. CONCLUSION: To improve quality of care, we must measure our performance. This pilot study suggests that it is feasible to implement a broad set of ICU quality measures in a cohort of hospitals. By improving performance on these measures, we may realize reduced mortality, morbidity, and ICU length of stay.

Cohort Studies↗

Qualitative review of intensive care unit quality indicators.

PURPOSE: The purpose of this study was to (1) conduct a systematic review of the literature to identify interventions that improve patient outcomes in the intensive care unit (ICU); (2) evaluate potential measures of quality based on the impact, feasibility, variability, and the strength of evidence to support each measure and to categorize these measures as outcome, process, access, or complication measures; and (3) select a list of candidate quality measures that can be broadly applied to improve ICU care. METHODS: We identified and independently reviewed all studies in Medline (1965-2000) and The Cochrane Library (Issue 3, 2001) that met the following criteria: design: observational studies, experimental trials, or systematic reviews; population: critically ill adults; and intervention: process or structure measure that was associated with improved patient outcomes: morbidity, mortality, complications, errors, costs, length of stay (LOS), and patient reported outcomes. Studies were grouped into categories by the type of outcome that was improved by the intervention. Potential quality measures were evaluated for: impact on morbidity, mortality, and costs; feasibility of the measure; and variability in the measure. We evaluated the strength of evidence for each intervention used to improve outcomes and using the Delphi method, assigned an over-all recommendation for each quality measure. RESULTS: A total of 3,014 citations were identified. Sixty-six studies that met selection criteria reported on a variety of interventions that were associated with improved patient outcomes. We identified 6 outcome measures: ICU mortality rate, ICU LOS greater than 7 days, average ICU LOS, average days on mechanical ventilation, suboptimal management of pain, and patient/family satisfaction; 6 process measures: effective assessment of pain, appropriate use of blood transfusions, prevention of ventilator-associated pneumonia, appropriate sedation, appropriate peptic ulcer disease prophylaxis, and appropriate deep venous thrombosis prophylaxis; 4 access measures: rate of delayed admissions, rate of delayed discharges, cancelled surgical cases, and emergency department by-pass hours; and 3 complication measures: rate of unplanned ICU readmission, rate of catheter-related blood stream infections, and rate of resistant infections. CONCLUSIONS: Further work is needed to create operational definitions and to pilot test the selected measures. The value of these measures will be determined by our ability to evaluate our current performance and implement interventions designed to improve the quality of ICU care.

Adrenergic beta-Antagonists↗