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BACKGROUND: The discrimination power of the pediatric risk of mortality (PRISM), pediatric index of mortality (PIM), sequential organ failure assessment (SOFA), and pediatric logistic organ dysfunction (PELOD) may not always be true for countries such as India due to differences in factors from those nations where these scoring systems were validated. Therefore, this study was undertaken to determine and compare severity, course of illness, and outcomes in critically ill children admitted to the pediatric intensive care unit (PICU) using different scoring systems such as PRISM 4, PIM 3, PELOD 2, and the pediatric sequential organ failure assessment (pSOFA ) score, and to analyze the clinical spectrum and demographic profile of children admitted to the PICU. MATERIALS AND METHOD: This was a prospective, single-center, observational study conducted in the PICU of the Indira Gandhi Institute of Medical Science, Patna, India, over two years. Two hundred children in the age group of one month to 14 years admitted to the PICU were recruited into the study. Prognostic scoring systems, including PRISM4 and PIM3, were used to compare the outcome, mortality, and length of PICU stay, whereas PELODS and pSOFA were descriptive scores that assessed the multiorgan dysfunction. A correlation between the different scoring systems and the outcome was determined. RESULTS: The majority of children (26.5%, n=53) were one to three years of age. The maximum number of patients was male (66.5%, n=133). Renal complications were the predominant admission diagnosis in 19% (n=38) of children. The mortality rate was found to be 18.5%. The mortality was most common in infants <1 year of age (n=11, 29.73%) and those of the male sex (n=22, 59.46%). A significant correlation was found between length of stay and mortality (p<0.00001). A significant positive correlation was observed between mortality and PRISM 4, PIM 3, PELOD 2, and pSOFA scores on the first day of admission (p<0.00001). The pSOFA and PELOD2 showed better discrimination power (area under the curve (AUC): 0.77 and 0.74, respectively). CONCLUSION: The study concluded that the pSOFA and PELOD2 scores are reliable predictors of mortality in critically ill children.
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Background Hospital-acquired infections (HAIs) are the most severe complications of intensive care stay, especially in pediatric patients. Proper hand hygiene (HH) is the cheapest, simplest, but often neglected method to prevent HAIs. The World Health Organization (WHO) has formulated and promoted a standardized recommendation for HH. Both the WHO and the Centers for Disease Control and Prevention (CDC) recommend the use of soap and water for handwashing whenever there is visible dirt on the hands. In all other situations, an alcohol-based hand rub is an effective alternative. The quality improvement (QI) methodology has been widely followed in many countries to improve basic and advanced healthcare systems. The QI strategy follows the plan-do-study-act (PDSA) method. Methodology This quasi-experimental (pre- and post-intervention), prospective, QI study was conducted at the neonatal intensive care unit and pediatric intensive care unit of the pediatrics department in a tertiary care hospital in Bihar, India. A QI team was formed. The study was divided into four phases. WHO charts for assessing HH compliance were used for observation and data collection. The EQUATOR Checklist (Squire Checklist) was used to accurately report the QI work. Epi Info™ (version 7.2.5) was used for statistical analysis. The chi-square test was used to measure the statistical difference between pre- and post-intervention HH compliance (proportions). Results In the pre-intervention phase, a total of 106 HH opportunities were observed. The HH compliance at this stage was 40.6%. The QI team conducted several meetings, and a root cause analysis was performed with the help of the Fishbone diagram. It was decided to target three probable causes, namely, (a) less awareness, (b) inconvenient locations of hand rub dispensers, and (c) forgetfulness. The QI team decided to run three PDSA cycles. In the last phase, 212 HH opportunities were observed with a compliance percentage of 69.8%. There was a significant improvement when data of pre- and post-intervention HH compliance were compared in all categories of healthcare workers (HCWs), except doctors, where the improvement was not statistically significant. When the cumulative data of all subtypes of HCWs were analyzed, there was a significant improvement (p < 0.0001). Run charts and box plots were used for the easy depiction of the results. Conclusions Adopting proper HH methods remains the most effective way of preventing nosocomial infections, especially in intensive care units. We used the WHO model of HH in our study. The pre-intervention HH compliance was 40.6%. QI methodology using root cause analysis and implementation of three PDSA cycles were used to increase the HH compliance percentage. Post-intervention HH compliance increased to 69.8% and the effect was sustained. The study highlights the usefulness of the QI methodology in bringing small but important changes in clinical practice for better patient care.
