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Dive into the research topics where Kareen Jones is active.

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Featured researches published by Kareen Jones.


Pediatric Critical Care Medicine | 2015

Diagnostic Errors in a PICU: Insights from the Morbidity and Mortality Conference

Christina L. Cifra; Kareen Jones; Judith Ascenzi; Utpal Bhalala; Melania M. Bembea; David E. Newman-Toker; James C. Fackler; Marlene R. Miller

Objectives: To describe diagnostic errors identified among patients discussed at a PICU morbidity and mortality conference in terms of Goldman classification, medical category, severity, preventability, contributing factors, and occurrence in the diagnostic process. Design: Retrospective record review of morbidity and mortality conference agendas, patient charts, and autopsy reports. Setting: Single tertiary referral PICU in Baltimore, MD. Patients: Ninety-six patients discussed at the PICU morbidity and mortality conference from November 2011 to December 2012. Interventions: None. Measurements and Main Results: Eighty-nine of 96 patients (93%) discussed at the PICU morbidity and mortality conference had at least one identified safety event. A total of 377 safety events were identified. Twenty patients (21%) had identified misdiagnoses, comprising 5.3% of all safety events. Out of 20 total diagnostic errors identified, 35% were discovered at autopsy while 55% were reported primarily through the morbidity and mortality conference. Almost all diagnostic errors (95%) could have had an impact on patient survival or safety. Forty percent of errors did not cause actual patient harm, but 25% were severe enough to have potentially contributed to death (40% no harm vs 35% some harm vs 25% possibly contributed to death). Half of the diagnostic errors (50%) were rated as preventable. There were slightly more system-related factors (40%) solely contributing to diagnostic errors compared with cognitive factors (20%); however, 35% had both system and cognitive factors playing a role. Most errors involved vascular (35%) followed by neurologic (30%) events. Conclusions: Diagnostic errors in the PICU are not uncommon and potentially cause patient harm. Most appear to be preventable by targeting both cognitive- and system-related contributing factors. Prospective studies are needed to further determine how and why diagnostic errors occur in the PICU and what interventions would likely be effective for prevention.


BMJ Quality & Safety | 2014

The morbidity and mortality conference as an adverse event surveillance tool in a paediatric intensive care unit

Christina L. Cifra; Kareen Jones; Judith Ascenzi; Utpal Bhalala; Melania M. Bembea; James C. Fackler; Marlene R. Miller

Objective To determine if standardised chart review applied to records of patients discussed at a paediatric intensive care unit (PICU) morbidity and mortality conference (MMC) yields additional or different information regarding safety event occurrence and characteristics. Design Retrospective record review. Setting Single tertiary referral PICU in Baltimore, Maryland, USA. Participants 96 patients discussed at the PICU MMC over 14 months (November 2011–December 2012). Main outcome measures Safety events and their characteristics (medical error category, severity and preventability). Results A total of 275 safety events were identified through the MMC and/or chart review. The MMC identified 131 (48%) events, 53 (19%) of which were identified through the MMC alone. After chart review was performed, an additional 144 (52%) events were identified. 78 (28%) events were identified through both. High severity adverse events potentially contributing to permanent harm or death were more likely to be identified through both the MMC and chart review (47%) compared with either alone. The MMC alone identified more near-misses (21%) and preventable events (96%) compared with chart review alone or both MMC and chart review. Although chart review alone helped to identify many healthcare-associated infections, medication errors and sedation/pain control issues not elicited through the MMC, the MMC alone identified more communication errors and workflow problems. The MMC alone also identified 40% of all diagnostic errors, which would not have been discovered otherwise despite chart review by itself identifying 50% of such misdiagnoses. Conclusions Standardised chart review applied to records of patients discussed at a PICU MMC identified significantly more safety events not initially discovered through the MMC. However, the MMC was superior to chart review in identifying broader problems such as communication errors, workflow issues and certain diagnostic errors not captured by chart review, which can potentially affect many aspects of care.


Clinical Pediatrics | 2012

The Resident Decision-Making Process in Global Health Education Appraising Factors Influencing Participation

Jonathan Castillo; Heidi Castillo; Lisa Ayoub-Rodriguez; Jeanine E. Jennings; Kareen Jones; Sara Oliver; Charles J. Schubert; Thomas G. DeWitt

The globalization of pediatric graduate medical education is ongoing; thus, this study was conducted to begin to explore the nature of resident interest in global health (GH) training and to further identify potentially modifiable factors influencing participation in away rotations. The authors surveyed all residents at Cincinnati Children’s Hospital Medical Center to identify factors influencing participation in education efforts and away rotations. With a participation rate of 79.4% (n = 143), 5 key factors emerged as most significant in the decision-making process amid all participants. Among residents who had previous experience, 82.1% were interested in participating in an away elective compared with 58.3% of those without experience (P = .002). Residents with previous experience abroad were also more likely to plan to integrate GH into their careers (61.7% vs 26.7%, P < .0001). This article describes specific obstacles to resident participation in GH education and documents the association between previous experience and significant interest in long-term involvement.


Resuscitation | 2017

Integration of in-hospital cardiac arrest contextual curriculum into a basic life support course: a randomized, controlled simulation study

Elizabeth A. Hunt; Jordan Duval-Arnould; Nnenna O. Chime; Kareen Jones; Michael A. Rosen; Merona Hollingsworth; Deborah Aksamit; Marida Twilley; Cheryl Camacho; Daniel P. Nogee; Julianna Jung; Kristen Nelson-McMillan; Nicole Shilkofski; Julianne S. Perretta

OBJECTIVE The objective was to compare resuscitation performance on simulated in-hospital cardiac arrests after traditional American Heart Association (AHA) Healthcare Provider Basic Life Support course (TradBLS) versus revised course including in-hospital skills (HospBLS). DESIGN This study is a prospective, randomized, controlled curriculum evaluation. SETTING Johns Hopkins Medicine Simulation Center. SUBJECTS One hundred twenty-two first year medical students were divided into fifty-nine teams. INTERVENTION HospBLS course of identical length, containing additional content contextual to hospital environments, taught utilizing Rapid Cycle Deliberate Practice (RCDP). MEASUREMENTS The primary outcome measure during simulated cardiac arrest scenarios was chest compression fraction (CCF) and secondary outcome measures included metrics of high quality resuscitation. MAIN RESULTS Out-of-hospital cardiac arrest HospBLS teams had larger CCF: [69% (65-74) vs. 58% (53-62), p<0.001] and were faster than TradBLS at initiating compressions: [median (IQR): 9s (7-12) vs. 22s (17.5-30.5), p<0.001]. In-hospital cardiac arrest HospBLS teams had larger CCF: [73% (68-75) vs. 50% (43-54), p<0.001] and were faster to initiate compressions: [10s (6-11) vs. 36s (27-63), p<0.001]. All teams utilized the hospital AED to defibrillate within 180s per AHA guidelines [HospBLS: 122s (103-149) vs. TradBLS: 139s (117-172), p=0.09]. HospBLS teams performed more hospital-specific maneuvers to optimize compressions, i.e. utilized: CPR button to flatten bed: [7/30 (23%) vs. 0/29 (0%), p=0.006], backboard: [21/30 (70%) vs. 5/29 (17%), p<0.001], stepstool: [28/30 (93%) vs. 8/29 (28%), p<0.001], lowered bedrails: [28/30 (93%) vs. 10/29 (34%), p<0.001], connected oxygen appropriately: [26/30 (87%) vs. 1/29 (3%), p<0.001] and used oral airway and/or two-person bagging when traditional bag-mask-ventilation unsuccessful: [30/30 (100%) vs. 0/29 (0%), p<0.001]. CONCLUSION A hospital focused BLS course utilizing RCDP was associated with improved performance on hospital-specific quality measures compared with the traditional AHA course.


International Journal of Surgery Case Reports | 2016

Elevated prothrombin time on routine preoperative laboratory results in a healthy infant undergoing craniosynostosis repair: Diagnosis and perioperative management of congenital factor VII deficiency

Kareen Jones; Robert S. Greenberg; Edward S. Ahn; Sapna R. Kudchadkar

Highlights • Factor VII deficiency is a rare autosomal disorder with genotypic and phenotypic variability.• Preoperative lab evaluation should at a minimum consist of a hematocrit, platelet count, type and screen, and coagulation studies for high-risk surgeries.• Treatment of acute hemorrhage in factor VII deficient patients primarily consists of factor VII (FVII) replacement therapy.


Critical Care Research and Practice | 2018

Design and Deployment of a Pediatric Cardiac Arrest Surveillance System

Jordan Duval-Arnould; Heather Newton; Leann McNamara; Branden M. Engorn; Kareen Jones; Meghan Bernier; Pamela Dodge; Cheryl Salamone; Utpal Bhalala; Justin Jeffers; Marie Diener-West; Elizabeth A. Hunt

Objective We aimed to increase detection of pediatric cardiopulmonary resuscitation (CPR) events and collection of physiologic and performance data for use in quality improvement (QI) efforts. Materials and Methods We developed a workflow-driven surveillance system that leveraged organizational information technology systems to trigger CPR detection and analysis processes. We characterized detection by notification source, type, location, and year, and compared it to previous methods of detection. Results From 1/1/2013 through 12/31/2015, there were 2,986 unique notifications associated with 2,145 events, 317 requiring CPR. PICU and PEDS-ED accounted for 65% of CPR events, whereas floor care areas were responsible for only 3% of events. 100% of PEDS-OR and >70% of PICU CPR events would not have been included in QI efforts. Performance data from both defibrillator and bedside monitor increased annually. (2013: 1%; 2014: 18%; 2015: 27%). Discussion After deployment of this system, detection has increased ∼9-fold and performance data collection increased annually. Had the system not been deployed, 100% of PEDS-OR and 50–70% of PICU, NICU, and PEDS-ED events would have been missed. Conclusion By leveraging hospital information technology and medical device data, identification of pediatric cardiac arrest with an associated increased capture in the proportion of objective performance data is possible.


Resuscitation | 2015

A novel approach to life support training using “action-linked phrases”

Elizabeth A. Hunt; Hillenn Cruz-Eng; Jamie Haggerty Bradshaw; Melanie Hodge; Tammi Bortner; Christie Mulvey; Kristen Nelson McMillan; Hannah Galvan; Jordan Duval-Arnould; Kareen Jones; Nicole Shilkofski; David L. Rodgers; Elizabeth Sinz


Critical Care Medicine | 2016

309: HOW HARD IS TOO HARD? AN INTRIGUING SERIES OF INFANTS WHO RECEIVED CHEST COMPRESSIONS

Elizabeth A. Hunt; Kristen Nelson McMillan; Kareen Jones; Megan Bernier; Melania M. Bembea; Narutoshi Hibino; Luca A. Vricella; Jordan Duval-Arnould


Critical Care Medicine | 2016

305: ASSESSMENT OF VIRTUAL SUPPORT OF CARDIOPULMONARY RESUSCITATION USING A CHECKLIST

Nnenna Chime; Kareen Jones; Katherine Steffen; Corina Noje; Jordan Duval-Arnould; Elizabeth A. Hunt; Kristen Nelson McMillan


Critical Care Medicine | 2015

152: 1557 MINUTES OF PEDIATRIC CPR; PERFORMANCE ANALYSIS FROM A LARGE QUALITY IMPROVEMENT INITIATIVE

Jordan Duval-Arnould; Heather Newton; Utpal Bhalala; Elizabeth W. Tucker; Meghan Bernier; Kareen Jones; Justin Jeffers; Elizabeth A. Hunt

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Jordan Duval-Arnould

Johns Hopkins University School of Medicine

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Utpal Bhalala

University of Pennsylvania

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Judith Ascenzi

Johns Hopkins University

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Justin Jeffers

Johns Hopkins University

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