scholarly journals Successful Implementation of a Pediatric Early Warning Score in a Resource-Limited Pediatric Oncology Hospital in Guatemala

2016 ◽  
Vol 2 (3_suppl) ◽  
pp. 60s-60s
Author(s):  
Asya Agulnik ◽  
Dora Judith Soberanis Vasquez ◽  
Jose Emigdio García Ortiz ◽  
Lupe Nataly Mora Robles ◽  
Ricardo Mack ◽  
...  

Abstract 25 Background: Hospitalized pediatric oncology patients are at high risk for clinical decline and mortality, particularly in resource-limited settings. Pediatric Early Warning Scores (PEWS) are commonly used to aid with early identification of clinical deterioration; however, these scores have never been studied in oncology patients in low-resource settings. We describe the successful implementation of a modified PEWS at Unidad Nacional de Oncología Pediátrica (UNOP), a national pediatric oncology hospital in Guatemala. Methods: The PEWS used at Boston Children's Hospital (BCH) was modified through key informant meetings at UNOP, adjusting for practice variations between the two hospitals. After an initial pilot of the tool, the PEWS was implemented in all non-ICU inpatient areas at UNOP (60 beds with about 2,000 admissions/year). During implementation, systems were created to monitor errors in calculating PEWS, patient transfers to a higher level of care, and high PEWS scores for ongoing quality improvement. Results: Hospital-wide implementation occurred over 6 months, when 113 nurses were trained in the PEWS tool and algorithm. Compliance with PEWS performance and documentation was 100% by the end of the implementation period, with 300 to 400 PEWS measured daily and less than 10% errors. Monitoring of PEWS results reports an average of 5 high PEWS per week with 30% transferring to a higher level of care. Among patients requiring ICU transfer, 86% had an abnormal PEWS prior to transfer, which is similar to results at BCH (90%). Staff surveys showed a high degree of satisfaction with PEWS (4.6/5) and minimal difficulty using the score (2.3/5) (n=67). Conclusions: We describe the successful implementation of a PEWS in a pediatric oncology hospital in Guatemala. This work demonstrates that PEWS is a feasible, well-accepted, and low-cost quality improvement measure in this resource-limited setting. We now plan to evaluate the effects of this implementation on patient care and outcomes. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST: No COIs from the authors.

Cancer ◽  
2017 ◽  
Vol 123 (24) ◽  
pp. 4903-4913 ◽  
Author(s):  
Asya Agulnik ◽  
Alejandra Méndez Aceituno ◽  
Lupe Nataly Mora Robles ◽  
Peter W. Forbes ◽  
Dora Judith Soberanis Vasquez ◽  
...  

Cancer ◽  
2017 ◽  
Vol 123 (15) ◽  
pp. 2965-2974 ◽  
Author(s):  
Asya Agulnik ◽  
Lupe Nataly Mora Robles ◽  
Peter W. Forbes ◽  
Doris Judith Soberanis Vasquez ◽  
Ricardo Mack ◽  
...  

2018 ◽  
Vol 65 (8) ◽  
pp. e27076 ◽  
Author(s):  
Asya Agulnik ◽  
Anisha Nadkarni ◽  
Lupe Nataly Mora Robles ◽  
Dora Judith Soberanis Vasquez ◽  
Ricardo Mack ◽  
...  

2013 ◽  
Vol 29 (6) ◽  
pp. 530-537 ◽  
Author(s):  
Robert S. Young ◽  
Barbara H. Gobel ◽  
Mark Schumacher ◽  
Jungwha Lee ◽  
Charlotta Weaver ◽  
...  

CHEST Journal ◽  
2020 ◽  
Vol 158 (4) ◽  
pp. A615
Author(s):  
Syed Arsalan Zaidi ◽  
Syed Hussain ◽  
Urvishkumar Pasrija ◽  
Bibhu Koirala ◽  
Fnu Abhishek

2017 ◽  
pp. hpeds.2016-0117
Author(s):  
Erin E. Conway-Habes ◽  
Brian F. Herbst ◽  
Lori A. Herbst ◽  
Benjamin Kinnear ◽  
Kristen Timmons ◽  
...  

2021 ◽  
Vol 36 (3) ◽  
pp. e272-e272
Author(s):  
Amena Khan ◽  
Digvijoy Sarma ◽  
Chiranth Gowda ◽  
Gabriel Rodrigues

Objectives: Modified Early Warning Score (MEWS) is a reliable, safe, instant, and inexpensive score for prognosticating patients with acute pancreatitis (AP) due to its ability to reflect ongoing changes of the systemic inflammatory response syndrome associated with AP. Our study sought to determine an optimal MEWS value in predicting severity in AP and determine its accuracy in doing so. Methods: Patients diagnosed with AP and admitted to a single institution were analyzed to determine the value of MEWS in identifying severe AP (SAP). The highest MEWS (hMEWS) score for the day and the mean of all the scores of a given day (mMEWS) were determined for each day. Sensitivity, specificity, negative predictive value (NPV), and positive predictive values (PPV) were calculated for the optimal MEWS values obtained. Results: Two hundred patients were included in the study. The data suggested that an hMEWS value > 2 on day one is most accurate in predicting SAP, with a specificity of 90.8% and PPV of 83.3%. An mMEWS of > 1.2 on day two was the most accurate in predicting SAP, with a sensitivity of 81.2%, specificity of 76.6%, PPV of 69.8%, and NPV of 85.9%. These were found to be more accurate than previous studies. Conclusions: MEWS provides a novel, easy, instant, repeatable, and reliable prognostic score that is comparable, if not superior, to existing scoring systems. However, its true value may lie in its use in resource-limited settings such as primary health care centers.


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