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Sather NK, Zinns LE, Brennan G, Guo L, Khan N, Havalad V. Survey of Pediatric Critical Care Fellows on Postresuscitation Debriefing. J Patient Cent Res Rev 2023; 10:247-254. [PMID: 38046994 PMCID: PMC10688913 DOI: 10.17294/2330-0698.2036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023] Open
Abstract
Purpose Current guidelines recommend debriefing following medical resuscitations to improve patient outcomes. The goal of this study was to describe national trends in postresuscitation debriefing practices among pediatric critical care medicine (PCCM) fellows to identify potential gaps in fellow education. Methods A 13-item survey was distributed to fellows in all 76 ACGME-accredited PCCM programs in the United States in the spring of 2021. The online survey addressed frequency and timing of debriefings following medical resuscitations, whether formal training is provided, which medical professionals are present, and providers' comfort level leading a debriefing. Results were analyzed using descriptive statistics. Results A total of 102 responses (out of a possible N of 536) were gathered from current PCCM fellows. All fellows (100%) reported participation in a medical resuscitation. Only 21% stated that debriefings occurred after every resuscitation event, and 44% did not follow a structured protocol for debriefing. While 66% reported feeling very or somewhat comfortable leading the debriefing, 19% felt either somewhat uncomfortable or very uncomfortable. A vast majority (92%) of participating fellows believed that debriefing would be helpful in improving team member performance during future resuscitations, and 92% expressed interest in learning more about debriefing. Conclusions The majority of PCCM fellows do not receive formal training on how to lead a debriefing. Given that 74% of fellows in our study did not feel very comfortable leading a debriefing but almost universally expressed that this practice is useful for provider well-being and performance, there is a clear need for increased incorporation of debriefing training into PCCM curricula across the United States.
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Affiliation(s)
| | - Lauren E. Zinns
- Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Gillian Brennan
- Neonatology, Department of Pediatrics, University of Chicago Comer Children’s Hospital, Chicago, IL
| | - Lily Guo
- Rosalind Franklin University of Medicine and Science, North Chicago, IL
| | - Nadia Khan
- Pediatric Critical Care, Advocate Children’s Hospital, Park Ridge, IL
| | - Vinod Havalad
- Pediatric Critical Care, Advocate Children’s Hospital, Park Ridge, IL
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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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Chan PS, Kennedy KF, Girotra S. Updating the model for Risk-Standardizing survival for In-Hospital cardiac arrest to facilitate hospital comparisons. Resuscitation 2023; 183:109686. [PMID: 36610502 PMCID: PMC9811915 DOI: 10.1016/j.resuscitation.2022.109686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 12/28/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Risk-standardized survival rates (RSSR) for in-hospital cardiac arrest (IHCA) have been widely used for hospital benchmarking and research. The novel coronavirus 2019 (COVID-19) pandemic has led to a substantial decline in IHCA survival as COVID-19 infection is associated with markedly lower survival. Therefore, there is a need to update the model for computing RSSRs for IHCA given the COVID-19 pandemic. METHODS Within Get With The Guidelines®-Resuscitation, we identified 53,922 adult patients with IHCA from March, 2020 to December, 2021 (the COVID-19 era). Using hierarchical logistic regression, we derived and validated an updated model for survival to hospital discharge and compared the performance of this updated RSSR model with the previous model. RESULTS The survival rate was 21.0% and 20.8% for the derivation and validation cohorts, respectively. The model had good discrimination (C-statistic 0.72) and excellent calibration. The updated parsimonious model comprised 13 variables-all 9 predictors in the original model as well as 4 additional predictors, including COVID-19 infection status. When applied to data from the pre-pandemic period of 2018-2019, there was a strong correlation (r = 0.993) between RSSRs obtained from the updated and the previous models. CONCLUSION We have derived and validated an updated model to risk-standardize hospital rates of survival for IHCA. The updated model yielded RSSRs that were similar to the initial model for IHCAs in the pre-pandemic period and can be used for supporting ongoing efforts to benchmark hospitals and facilitate research that uses data from either before or after the emergence of COVID-19.
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Affiliation(s)
- Paul S Chan
- Saint Luke's Mid America Heart Institute, USA; University of Missouri, Kansas City, MO, USA.
| | | | - Saket Girotra
- University of Texas-Southwestern Medical Center, USA
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