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      Is Open Access

      Improving Care for Children with Bloody Diarrhea at Risk for Hemolytic Uremic Syndrome

      research-article
      , MD * , , , MD * , , MD, MS * , , MD, MPH * , , MD, MPH * , , MD, MPH * , , , MD, MPH *
      Pediatric Quality & Safety
      Lippincott Williams & Wilkins

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          Abstract

          Supplemental Digital Content is available in the text.

          Abstract

          Introduction:

          Children with infectious bloody diarrhea are at an increased risk for developing hemolytic uremic syndrome (HUS). Early intervention may improve outcomes. This study evaluated the impact of a clinical pathway designed to identify those at risk for HUS, guide initial management, and provide decision support regarding patient disposition.

          Methods:

          We performed a retrospective cohort study of children 4 months to 19 years of age who presented with the acute onset of bloody diarrhea or other HUS risk factors to the pediatric emergency department (ED) from September 2015 through July 2020. A rapid stool polymerase chain reaction (PCR) test became available in May 2017. The clinical pathway was implemented in January 2018. We used Fisher’s exact tests and statistical process control charts to analyze patient- and system-level changes following pathway implementation.

          Results:

          Three hundred five patients were included. Postimplementation, stool PCR use increased (78%–91%), hospitalization decreased (49%–30%), and mean total charges decreased ($7715–$6797). There were increases in length of stay (226–288 minutes) and charges ($2651–$3524) for patients discharged from the ED. All changes met rules for special cause variation. There was no change in early IV fluid administration, inpatient length of stay, ED return visits, hospital readmissions, or patients with Shiga toxin-producing Escherichia coli (STEC), acute kidney injury (AKI) or HUS.

          Conclusions:

          For children presenting to the ED with bloody diarrhea, introduction of a rapid stool PCR test and clinical pathway correlated with decreased hospitalizations and overall costs without adverse clinical outcomes.

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          Most cited references16

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          Shiga-toxin-producing Escherichia coli and haemolytic uraemic syndrome.

          Most cases of diarrhoea-associated haemolytic uraemic syndrome (HUS) are caused by Shiga-toxin-producing bacteria; the pathophysiology differs from that of thrombotic thrombocytopenic purpura. Among Shiga-toxin-producing Escherichia coli (STEC), O157:H7 has the strongest association worldwide with HUS. Many different vehicles, in addition to the commonly suspected ground (minced) beef, can transmit this pathogen to people. Antibiotics, antimotility agents, narcotics, and non-steroidal anti-inflammatory drugs should not be given to acutely infected patients, and we advise hospital admission and administration of intravenous fluids. Management of HUS remains supportive; there are no specific therapies to ameliorate the course. The vascular injury leading to HUS is likely to be well under way by the time infected patients seek medical attention for diarrhoea. The best way to prevent HUS is to prevent primary infection with Shiga-toxin-producing bacteria.
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            The Health Care Data Guide : Learning from Data for Improvement

            The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes. Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes. Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data. Companion Web site: www.josseybass.com/go/provost
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              Pediatric medical complexity algorithm: a new method to stratify children by medical complexity.

              The goal of this study was to develop an algorithm based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), codes for classifying children with chronic disease (CD) according to level of medical complexity and to assess the algorithm's sensitivity and specificity.
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                Author and article information

                Journal
                Pediatr Qual Saf
                Pediatr Qual Saf
                PQS
                Pediatric Quality & Safety
                Lippincott Williams & Wilkins (Hagerstown, MD )
                2472-0054
                Jan-Feb 2022
                21 January 2022
                : 7
                : 1
                : e517
                Affiliations
                From the [* ]Department of Pediatrics, University of Washington, Seattle Children’s Hospital, Seattle, Wash.
                []Department of Pediatrics, Harvard University, Boston Children’s Hospital, Boston, Mass.
                Author notes
                *Corresponding author. Address: Carson S. Burns, MD, Department of Pediatrics, Division of Emergency Medicine, University of Washington, Seattle Children’s Hospital, 4800 Sand Point Way NE, M/S MB.7.520, Seattle, WA 98105, PH: 206-987-2599; Fax: 206-729-3070, Email: Carson.Burns@ 123456seattlechildrens.org
                Article
                00012
                10.1097/pq9.0000000000000517
                8782105
                35071957
                3886f2c2-bb44-49f5-b93d-bcd90db638bb
                Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

                History
                : 27 April 2021
                : 18 September 2021
                Categories
                Individual QI Projects from Single Institutions
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