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Bijok B, Jaulin F, Picard J, Michelet D, Fuzier R, Arzalier-Daret S, Basquin C, Blanié A, Chauveau L, Cros J, Delmas V, Dupanloup D, Gauss T, Hamada S, Le Guen Y, Lopes T, Robinson N, Vacher A, Valot C, Pasquier P, Blet A. Guidelines on human factors in critical situations 2023. Anaesth Crit Care Pain Med 2023; 42:101262. [PMID: 37290697 DOI: 10.1016/j.accpm.2023.101262] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To provide guidelines to define the place of human factors in the management of critical situations in anaesthesia and critical care. DESIGN A committee of nineteen experts from the SFAR and GFHS learned societies was set up. A policy of declaration of links of interest was applied and respected throughout the guideline-producing process. Likewise, the committee did not benefit from any funding from a company marketing a health product (drug or medical device). The committee followed the GRADE® method (Grading of Recommendations Assessment, Development and Evaluation) to assess the quality of the evidence on which the recommendations were based. METHODS We aimed to formulate recommendations according to the GRADE® methodology for four different fields: 1/ communication, 2/ organisation, 3/ working environment and 4/ training. Each question was formulated according to the PICO format (Patients, Intervention, Comparison, Outcome). The literature review and recommendations were formulated according to the GRADE® methodology. RESULTS The experts' synthesis work and application of the GRADE® method resulted in 21 recommendations. Since the GRADE® method could not be applied in its entirety to all the questions, the guidelines used the SFAR "Recommendations for Professional Practice" A means of secured communication (RPP) format and the recommendations were formulated as expert opinions. CONCLUSION Based on strong agreement between experts, we were able to produce 21 recommendations to guide human factors in critical situations.
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Affiliation(s)
- Benjamin Bijok
- Pôle Anesthésie-Réanimation, Bloc des Urgences/Déchocage, CHU de Lille, Lille, France; Pôle de l'Urgence, Bloc des Urgences/Déchocage, CHU de Lille, Lille, France.
| | - François Jaulin
- Président du Groupe Facteurs Humains en Santé, France; Directeur Général et Cofondateur Patient Safety Database, France; Directeur Général et Cofondateur Safe Team Academy, France.
| | - Julien Picard
- Pôle Anesthésie-Réanimation, Réanimation Chirurgicale Polyvalente - CHU Grenoble Alpes, Grenoble, France; Centre d'Evaluation et Simulation Alpes Recherche (CESAR) - ThEMAS, TIMC, UMR, CNRS 5525, Université Grenoble Alpes, Grenoble, France; Comité Analyse et Maîtrise du Risque (CAMR) de la Société Française d'Anesthésie Réanimation (SFAR), France
| | - Daphné Michelet
- Département d'Anesthésie-Réanimation du CHU de Reims, France; Laboratoire Cognition, Santé, Société - Université Reims-Champagne Ardenne, France
| | - Régis Fuzier
- Unité d'Anesthésiologie, Institut Claudius Regaud. IUCT-Oncopole de Toulouse, France
| | - Ségolène Arzalier-Daret
- Département d'Anesthésie-Réanimation, CHU de Caen Normandie, Avenue de la Côte de Nacre, 14000 Caen, France; Comité Vie Professionnelle-Santé au Travail (CVP-ST) de la Société Française d'Anesthésie-Réanimation (SFAR), France
| | - Cédric Basquin
- Département Anesthésie-Réanimation, CHU de Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France; CHP Saint-Grégoire, Groupe Vivalto-Santé, 6 Bd de la Boutière CS 56816, 35760 Saint-Grégoire, France
| | - Antonia Blanié
- Département d'Anesthésie-Réanimation Médecine Périopératoire, CHU Bicêtre, 78 Rue du Général Leclerc, 94270 Le Kremlin-Bicêtre, France; Laboratoire de Formation par la Simulation et l'Image en Médecine et en Santé (LabForSIMS) - Faculté de Médecine Paris Saclay - UR CIAMS - Université Paris Saclay, France
| | - Lucille Chauveau
- Service des Urgences, SMUR et EVASAN, Centre Hospitalier de la Polynésie Française, France; Maison des Sciences de l'Homme du Pacifique, C9FV+855, Puna'auia, Polynésie Française, France
| | - Jérôme Cros
- Service d'Anesthésie et Réanimation, Polyclinique de Limoges Site Emailleurs Colombier, 1 Rue Victor-Schoelcher, 87038 Limoges Cedex 1, France; Membre Co-Fondateur Groupe Facteurs Humains en Santé, France
| | - Véronique Delmas
- Service d'Accueil des Urgences, Centre Hospitalier Le Mans, 194 Avenue Rubillard, 72037 Le Mans, France; CAp'Sim, Centre d'Apprentissage par la Simulation, Centre Hospitalier Le Mans, 194 Avenue Rubillard, 72037 Le Mans, France
| | - Danièle Dupanloup
- IADE, Cadre de Bloc, CHU de Nancy, 29 Avenue du Maréchal de Lattre de Tassigny, 54000 Nancy, France; Comité IADE de la Société Française d'Anesthésie Réanimation (SFAR), France
| | - Tobias Gauss
- Pôle Anesthésie-Réanimation, Bloc des Urgences/Déchocage, CHU Grenoble Alpes, Grenoble, France
| | - Sophie Hamada
- Université Paris Cité, APHP, Hôpital Européen Georges Pompidou, Service d'Anesthésie Réanimation, F-75015, Paris, France; CESP, INSERM U 10-18, Université Paris-Saclay, France
| | - Yann Le Guen
- Pôle Anesthésie-Réanimation, CHU Grenoble Alpes, Grenoble, France
| | - Thomas Lopes
- Service d'Anesthésie-Réanimation, Hôpital Privé de Versailles, 78000 Versailles, France
| | | | - Anthony Vacher
- Unité Recherche et Expertise Aéromédicales, Institut de Recherche Biomédicale des Armées, Brétigny Sur Orge, France
| | | | - Pierre Pasquier
- 1ère Chefferie du Service de Santé, Villacoublay, France; Département d'Anesthésie-Réanimation, Hôpital d'Instruction des Armées Percy, Clamart, France; École du Val-de-Grâce, Paris, France
| | - Alice Blet
- Lyon University Hospital, Department of Anaesthesiology and Critical Care, Croix Rousse University Hospital, Hospices Civils de Lyon, Lyon, France; INSERM U1052, Cancer Research Center of Lyon, Lyon, France
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Kuehn SE, Melvin JE, Creech PS, Fitch J, Noritz G, Perry MF, Stewart C, Bode RS. Reduction of Very Rapid Emergency Transfers to the Pediatric Intensive Care Unit. Pediatr Qual Saf 2023; 8:e645. [PMID: 38571737 PMCID: PMC10990303 DOI: 10.1097/pq9.0000000000000645] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 03/07/2023] [Indexed: 04/05/2024] Open
Abstract
Introduction Emergency transfers are associated with increased inpatient pediatric mortality. Therefore, interventions to improve system-level situational awareness were utilized to decrease a subset of emergency transfers that occurred within four hours of admission to an inpatient medical-surgical unit called very rapid emergency transfers (VRET). Specifically, we aimed to increase the days between VRET from non-ICU inpatient units from every 10 days to every 25 days over 1 year. Methods Using the Model for Improvement, we developed an interdisciplinary team to reduce VRET. The key drivers targeted were the admission process from the emergency department and ambulatory clinics, sepsis recognition and communication, and expansion of our situational awareness framework. Days between VRET defined the primary outcome metric for this improvement project. Results After six months of interventions, our baseline improved from a VRET every 10 days to every 79 days, followed by another shift to 177 days, which we sustained for 3 years peaking at 468 days between events. Conclusion Interventions targeting multiple admission sources to improve early recognition and communication of potential clinical deterioration effectively reduced and nearly eliminated VRET at our organization.
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Affiliation(s)
- Stacy E. Kuehn
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Jennifer E. Melvin
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Pamela S. Creech
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Jill Fitch
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Garey Noritz
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Michael F. Perry
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Claire Stewart
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
| | - Ryan S. Bode
- From the Center for Clinical Excellence Columbus, Nationwide Children’s Hospital, Ohio
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3
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Mehta SD, Muthu N, Yehya N, Galligan M, Porter E, McGowan N, Papili K, Favatella D, Liu H, Griffis H, Bonafide CP, Sutton RM. Leveraging EHR Data to Evaluate the Association of Late Recognition of Deterioration With Outcomes. Hosp Pediatr 2022; 12:447-460. [PMID: 35470399 DOI: 10.1542/hpeds.2021-006363] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Emergency transfers (ETs), deterioration events with late recognition requiring ICU interventions within 1 hour of transfer, are associated with adverse outcomes. We leveraged electronic health record (EHR) data to assess the association between ETs and outcomes. We also evaluated the association between intervention timing (urgency) and outcomes. METHODS We conducted a propensity-score-matched study of hospitalized children requiring ICU transfer between 2015 and 2019 at a single institution. The primary exposure was ET, automatically classified using Epic Clarity Data stored in our enterprise data warehouse endotracheal tube in lines/drains/airway flowsheet, vasopressor in medication administration record, and/or ≥60 ml/kg intravenous fluids in intake/output flowsheets recorded within 1 hour of transfer. Urgent intervention was defined as interventions within 12 hours of transfer. RESULTS Of 2037 index transfers, 129 (6.3%) met ET criteria. In the propensity-score-matched cohort (127 ET, 374 matched controls), ET was associated with higher in-hospital mortality (13% vs 6.1%; odds ratio, 2.47; 95% confidence interval [95% CI], 1.24-4.9, P = .01), longer ICU length of stay (subdistribution hazard ratio of ICU discharge 0.74; 95% CI, 0.61-0.91, P < .01), and longer posttransfer length of stay (SHR of hospital discharge 0.71; 95% CI, 0.56-0.90, P < .01). Increased intervention urgency was associated with increased mortality risk: 4.1% no intervention, 6.4% urgent intervention, and 10% emergent intervention. CONCLUSIONS An EHR measure of deterioration with late recognition is associated with increased mortality and length of stay. Mortality risk increased with intervention urgency. Leveraging EHR automation facilitates generalizability, multicenter collaboratives, and metric consistency.
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Affiliation(s)
- Sanjiv D Mehta
- aDepartments of Anesthesiology and Critical Care Medicine
| | | | - Nadir Yehya
- aDepartments of Anesthesiology and Critical Care Medicine
- dDepartment of Anesthesiology and Critical Care Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Ezra Porter
- eCenter for Healthcare Quality and Analytics
| | | | - Kelly Papili
- aDepartments of Anesthesiology and Critical Care Medicine
| | - Dana Favatella
- gCritical Care Center for Evidence and Outcomes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Hongyan Liu
- hBiomedical and Health Informatics, Data Science and Biostatistics Unit
| | - Heather Griffis
- hBiomedical and Health Informatics, Data Science and Biostatistics Unit
| | | | - Robert M Sutton
- aDepartments of Anesthesiology and Critical Care Medicine
- dDepartment of Anesthesiology and Critical Care Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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4
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Fallon A, Sosa T. Harnessing the Data Universe to Understand and Reduce Clinical Deterioration in Children. Hosp Pediatr 2022; 12:e174-e176. [PMID: 35470392 DOI: 10.1542/hpeds.2022-006588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Anne Fallon
- aDivision of Pediatric Hospital Medicine, University of Rochester Medical Center, Rochester, New York
- bDepartment of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Tina Sosa
- aDivision of Pediatric Hospital Medicine, University of Rochester Medical Center, Rochester, New York
- bDepartment of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York
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Lawson NR, Acorda D, Guffey D, Bracken J, Bavare A, Checchia P, Afonso NS. Association of Social Determinants of Health With Rapid Response Events: A Retrospective Cohort Trial in a Large Pediatric Academic Hospital System. Front Pediatr 2022; 10:853691. [PMID: 35515353 PMCID: PMC9070691 DOI: 10.3389/fped.2022.853691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 03/15/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Social determinants of health (SDH) are known to impact hospital and intensive care unit (ICU) outcomes. Little is known about the association between SDH and pediatric rapid response (RR) events and understanding this impact will help guide future interventions aimed to eliminate health disparities in the inpatient setting. OBJECTIVES The primary objective of this study is to describe the association between SDH and RR utilization (number of RR events, time to RR event, shift of event and caller). The secondary objective is to determine if SDH can predict hospital length of stay (LOS), ICU transfer, critical deterioration (CD), and mortality. METHODS A retrospective cohort study was conducted. We reviewed all RR events from 2016 to 2019 at a large, academic, pediatric hospital system including a level 1 trauma center and two satellite community campuses. All hospitalized patients up to age 25 who had a RR event during their index hospitalization were included. Exposure variables included age, gender, race/ethnicity, language, income, insurance status, chronic disease status, and repeat RR event. The primary outcome variables were hospital LOS, ICU transfer, CD, and mortality. The odds of mortality, CD events and ICU transfer were assessed using unadjusted and multivariable logistic regression. Associations with hospital LOS were assessed with unadjusted and multivariable quantile regression. RESULTS Four thousand five hundred and sixty-eight RR events occurred from 3,690 unique admissions and 3301 unique patients, and the cohort was reduced to the index admission. The cohort was largely representative of the population served by the hospital system and varied according to race and ethnicity. There was no variation by race/ethnicity in the number of RR events or the shift in which RR events occurred. Attending physicians initiated RR calls more for event for non-Hispanic patients of mixed or other race (31.6% of events), and fellows and residents were more likely to be the callers for Hispanic patients (29.7% of events, p = 0.002). Families who are non-English speaking are also less likely to activate the RR system (12% of total RR events, p = 0.048). LOS was longest for patients speaking languages other than Spanish or English and CD was more common in patients with government insurance. In adjusted logistic regression, Hispanic patients had 2.5 times the odds of mortality (95% CI: 1.43-4.53, p = 0.002) compared with non-Hispanic white patients. CONCLUSION Disparities exist in access to and within the inpatient management of pediatric patients. Our results suggest that interventions to address disparities should focus on Hispanic patients and non-English speaking patients to improve inpatient health equity. More research is needed to understand and address the mortality outcomes in Hispanic children compared to other groups.
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Affiliation(s)
- Nikki R Lawson
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States
| | | | - Danielle Guffey
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, United States
| | - Julie Bracken
- Texas Children's Hospital, Houston, TX, United States
| | - Aarti Bavare
- Department of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Paul Checchia
- Department of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Natasha S Afonso
- Department of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine, Houston, TX, United States
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6
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Walshe N, Ryng S, Drennan J, O'Connor P, O'Brien S, Crowley C, Hegarty J. Situation awareness and the mitigation of risk associated with patient deterioration: A meta-narrative review of theories and models and their relevance to nursing practice. Int J Nurs Stud 2021; 124:104086. [PMID: 34601204 DOI: 10.1016/j.ijnurstu.2021.104086] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 07/27/2021] [Accepted: 08/31/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Accurate situation awareness has been identified as a critical component of effective deteriorating patient response systems and an essential patient safety skill for nursing practice. However, situation awareness has been defined and theorised from multiple perspectives to explain how individuals, teams and systems maintain awareness in dynamic task environments. AIM Our aim was to critically analyse the different approaches taken to the study of situation awareness in healthcare and explore the implications for nursing practice and research as it relates to clinical deterioration in ward contexts. METHODS We undertook a meta-narrative review of the healthcare literature to capture how situation awareness has been defined, theorised and studied in healthcare. Following an initial scoping review, we conducted an extensive search of ten electronic databases and included any theoretical, empirical or critical papers with a primary focus on situation awareness in an inpatient hospital setting. Included papers were collaboratively categorised in accordance with their theoretical framing, research tradition and paradigm with a narrative review presented. RESULTS A total of 120 papers were included in this review. Three overarching narratives reflecting philosophical, patient safety and solution focussed framings of situation awareness and seven meta-narratives were identified as follows: individual, team and systems perspectives of situation awareness (meta-narratives 1-3), situation awareness and patient safety (meta-narrative 4), communication tools, technologies and education to support situation awareness (meta-narratives 5-7). We identified a concentration of literature from anaesthesia and operating rooms and a body of research largely located within a cognitive engineering tradition and a positivist research paradigm. Endsley's situation awareness model was applied in over 80% of the papers reviewed. A minority of papers drew on alternative situation awareness theories including constructivist, collaborative and distributed perspectives. CONCLUSIONS Nurses have a critical role in identifying and escalating the care of deteriorating patients. There is a need to build on prior studies and reflect on the reality of nurse's work and the constraints imposed on situation awareness by the demands of busy inpatient wards. We suggest that this will require an analysis that complements but goes beyond the dominant cognitive engineering tradition to reflect the complex socio-cultural reality of ward-based teams and to explore how situation awareness emerges in increasingly complex, technologically enabled distributed healthcare systems.
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Affiliation(s)
- Nuala Walshe
- School of Nursing and Midwifery, University College Cork, College Road, Cork T12 AK54, Ireland.
| | - Stephanie Ryng
- School of Nursing and Midwifery, University College Cork, College Road, Cork T12 AK54, Ireland
| | - Jonathan Drennan
- School of Nursing and Midwifery, University College Cork, College Road, Cork T12 AK54, Ireland.
| | - Paul O'Connor
- Department of General Practice, National University of Ireland, Distillery Road, Newcastle, Co Galway H91 TK33, Ireland.
| | - Sinéad O'Brien
- School of Nursing and Midwifery, University College Cork, College Road, Cork T12 AK54, Ireland.
| | - Clare Crowley
- School of Nursing and Midwifery, University College Cork, College Road, Cork T12 AK54, Ireland.
| | - Josephine Hegarty
- School of Nursing and Midwifery, University College Cork, College Road, Cork T12 AK54, Ireland.
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7
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Lockwood JM, Ziniel SI, Bonafide CP, Brady PW, O'Leary ST, Reese J, Wathen B, Dempsey AF. Characteristics of Pediatric Rapid Response Systems: Results From a Survey of PRIS Hospitals. Hosp Pediatr 2021; 11:144-152. [PMID: 33495251 DOI: 10.1542/hpeds.2020-002659] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND Many hospitals use rapid response systems (RRSs) to identify and intervene on hospitalized children at risk for deterioration. OBJECTIVES To describe RRS characteristics across hospitals in the Pediatric Research in Inpatient Settings (PRIS) network. METHODS We developed the survey through a series of prospective respondent, expert, and cognitive interviews. One institutional expert per PRIS hospital (n = 109) was asked to complete the web survey. We summarized responses using descriptive statistics with a secondary analysis of univariate associations between RRS characteristics and perceived effectiveness. RESULTS The response rate was 72% (79 of 109). Respondents represented diverse hospital types and were primarily physicians (97%) with leadership roles in care escalation. Many hospitals used an early warning score (77%) for identification with variable characteristics (46% automated versus 54% full or partially manual calculation; inputs included vital signs [98%], physical examination findings [88%], diagnoses [23%], medications [19%], and diagnostic tests [14%]). Few incorporated a validated prediction model (9%). Similarly, many RRSs used a rapid response team for intervention (93%) with variable team composition (respiratory therapists [94%], ICU nurses [93%], ICU providers [67%], and pharmacists [27%]). Some used the early warning score to trigger the rapid response team (50%). Only a few staffed a clinician to proactively surveil hospitalized children for risk of deterioration (18%), and these tended to be larger hospitals (annual admissions 12 000 vs 6000, P = .007). Most responding experts stated their RRSs improved patient outcomes (92%). CONCLUSIONS RRS characteristics varied across PRIS hospitals.
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Affiliation(s)
- Justin M Lockwood
- Department of Pediatrics, Section of Hospital Medicine, School of Medicine, University of Colorado, Aurora, Colorado; .,School of Medicine, University of Colorado and Children's Hospital Colorado, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, Colorado
| | - Sonja I Ziniel
- Department of Pediatrics, Section of Hospital Medicine, School of Medicine, University of Colorado, Aurora, Colorado
| | - Christopher P Bonafide
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Patrick W Brady
- Division of Hospital Medicine, Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; and
| | - Sean T O'Leary
- School of Medicine, University of Colorado and Children's Hospital Colorado, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, Colorado.,Sections of Infectious Diseases and.,General Pediatrics
| | - Jennifer Reese
- Section of Hospital Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Beth Wathen
- Pediatric ICU, Children's Hospital Colorado, Aurora, Colorado
| | - Amanda F Dempsey
- School of Medicine, University of Colorado and Children's Hospital Colorado, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, Colorado.,General Pediatrics
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8
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Sosa T, Ferris S, Frese C, Hacker D, Dewan M, Brady PW. Comparing Two Proximal Measures of Unrecognized Clinical Deterioration in Children. J Hosp Med 2020; 15:673-676. [PMID: 33147135 PMCID: PMC7657656 DOI: 10.12788/jhm.3515] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 08/04/2020] [Indexed: 11/20/2022]
Abstract
Critical deterioration events (CDEs) and emergency transfers (ETs) are two proximal measures to cardiopulmonary arrest, and both aim to evaluate how systems recognize and respond to clinical deterioration in children. This retrospective observational study sought to (1) characterize CDEs and ETs by timing, overlap, and intervention category, and (2) evaluate the performance of the watcher identification system and the pediatric early warning score (PEWS) to identify patients who experience these events. A total of 359 CDEs and 88 ETs occurred during the study period. Respiratory events were most common and accounted for 80.5% of CDEs and 47.7% of ETs. A narrow majority of patients were identified as watchers (55.4% of CDEs and 51.1% of ETs). In total, 85.5% of CDEs and 87.5% of ETs were identified as watchers, elevated PEWS, or both. Opportunities exist for improved escalation plans for high-risk patients to prevent the need for emergent intervention.
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Affiliation(s)
- Tina Sosa
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Corresponding Author: Tina Sosa, MD; ; Twitter: @TinaKSosa
| | - Sarah Ferris
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Carol Frese
- Department of Patient Services, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Deborah Hacker
- Department of Patient Services, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Maya Dewan
- Division of Critical Care Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Patrick W Brady
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
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9
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eStablish And Formalize Expert Criteria for Avoidable Resuscitation Review (SAFECARR) Electronic Delphi: Development of a Consensus Framework for Classifying and Reviewing Cardiac Arrests Within the PICU. Pediatr Crit Care Med 2020; 21:992-999. [PMID: 32701751 PMCID: PMC8809370 DOI: 10.1097/pcc.0000000000002488] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To develop a consensus framework that can guide the process of classifying and reviewing pediatric in-hospital cardiac arrest in the PICU. DESIGN A three-round electronic Delphi consensus study with an additional in-person session with pediatric resuscitation experts. The modified electronic Delphi consisted of survey questions sent to the expert panel with the goals of (1) achieving consensus on definitions of avoidable, potentially avoidable, and unavoidable PICU in-hospital cardiac arrest and (2) achieving consensus and ranking of a list of factors that contribute to potentially avoidable PICU in-hospital cardiac arrest. SETTING Electronic surveys of resuscitation experts including pediatric critical care, cardiac critical care, emergency medicine, and hospital medicine physicians, nurses, advance practice nurses, and resuscitation researchers. PATIENTS Not applicable. INTERVENTIONS Not applicable. MEASUREMENTS AND MAIN RESULTS Over three rounds of an electronic Delphi, 24 resuscitation experts participated. In Round 1, consensus was reached for the definitions of potentially avoidable and unavoidable cardiac arrest. Consensus was not reached for avoidable cardiac arrest. In Round 2, the expert panel agreed with seven factors from the literature and achieved consensus on an additional seven factors. Consensus was achieved on the modified definition of avoidable cardiac arrest. In Round 3, participants were asked to rank the contributing factors in order of their importance. For the in-person session, the consensus definitions and contributing factors from the modified electronic Delphi were presented to a multidisciplinary group of pediatric resuscitation experts and reached consensus for all three definitions. CONCLUSIONS A multidisciplinary group of pediatric resuscitation experts generated a consensus-based framework to classify and review pediatric in-hospital cardiac arrest in the PICU. Future work will focus on the application of this framework and further validation of these definitions and contributing factors for in-hospital cardiac arrest both within and outside the PICU.
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10
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Hussain FS, Sosa T, Ambroggio L, Gallagher R, Brady PW. Emergency Transfers: An Important Predictor of Adverse Outcomes in Hospitalized Children. J Hosp Med 2019; 14:482-485. [PMID: 31251153 PMCID: PMC6686735 DOI: 10.12788/jhm.3219] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
In-hospital arrests are uncommon in pediatrics, making it difficult to identify the risk factors for unrecognized deterioration and to determine the effectiveness of rapid response systems. An emergency transfer (ET) is a transfer from an acute care floor to an intensive care unit (ICU) where the patient received intubation, inotropes, or ≥3 fluid boluses in the first hour after arrival or before transfer. Improvement science work has reduced ETs, but ETs have not been validated against important health outcomes. This case-control study aimed to determine the predictive validity of an ET for outcomes in a free-standing children's hospital. Controls were matched in terms of age, hospital unit, and time of year. Patients who experienced an ET had a significantly higher likelihood of in-hospital mortality (22% vs 9%), longer ICU length of stay (4.9 vs 2.2 days), and longer posttransfer length of stay (26.4 vs 14.7 days) compared with controls (P < .03 for each).
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Affiliation(s)
- Farah S Hussain
- University of Cincinnati College of Medicine, Cincinnati, Ohio
- Corresponding Author: Farah S Hussain, BS; E-mail: ; Telephone: 513-205-0429
| | - Tina Sosa
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Lilliam Ambroggio
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Regan Gallagher
- Department of Patient Services, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Patrick W Brady
- Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
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