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Enregistrement W3090218813 · doi:10.1176/appi.ps.72304

Frontline Redeployment of Psychiatry Residents During the COVID-19 Pandemic

2020· article· en· W3090218813 sur OpenAlexaboutno aff
Joseph M. Villarin, Yang Gao, Ruth McCann

Notice bibliographique

RevuePsychiatric Services · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Mental Health
Mots-clésCoronavirus disease 2019 (COVID-19)PandemicPsychological interventionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Intensive careMedicineIntensive care unitPsychologyPsychiatryFamily medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Frontline ReportsFull AccessFrontline Redeployment of Psychiatry Residents During the COVID-19 PandemicJoseph M. Villarin, M.D., Ph.D., Y. Nina Gao, M.D., Ph.D., Ruth F. McCann, M.D.Joseph M. Villarin, M.D., Ph.D., Y. Nina Gao, M.D., Ph.D., Ruth F. McCann, M.D.Published Online:6 Oct 2020https://doi.org/10.1176/appi.ps.72304AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail Early in its transmission in the United States, COVID-19 had a disproportionate impact on New York City, pushing local hospitals nearly to their limits. In the intensive care unit (ICU) at New York–Presbyterian/Columbia University Irving Medical Center (NYP/CUIMC), the capacity of 99 beds was exceeded by nearly 300% in April 2020. This surge required expansion and restructuring of existing inpatient medical services, as well as "redeployment" of attending and trainee physicians from various specialties, including psychiatry. Redeployed residents were essential in directing care for massive numbers of critically ill patients requiring mechanical ventilation and other life-supporting interventions. Here, we describe the process of the redeployment of psychiatry residents at a major urban academic medical center to the front lines of the COVID-19 pandemic.The psychiatry residency at NYP/CUIMC comprises 10–12 residents in each of the four postgraduate year (PGY) classes. Of 46 residents in the program during the 2019–2020 academic year, 35 participated in redeployment between April 1 and June 3, 2020. The first wave included first-year (PGY1) residents already rotating on medicine services, as well as volunteers from senior classes, before quickly escalating to a maximum of nine residents redeployed by the third week in April, during the city's peak in hospitalizations. After taking volunteers, program leadership approached individual residents to fill remaining redeployment spots, with sensitivity to residents with complicating circumstances, such as chronic health conditions.Most residents were redeployed onsite in our primary hospital as medical interns on an expanded ICU team caring for COVID-19 patients, despite some unfamiliarity with managing ventilators. Psychiatry residents were preferentially assigned to ICUs rather than floor or step-down services, where staffing ratios are less favorable and interns have less supervision. Residents were asked to work no more than 3 weeks in the ICUs—a leadership decision to disperse the burden of this work, at the cost of potentially exposing a larger number of residents to the virus. Ultimately, four redeployed residents home-quarantined after developing COVID-19–like symptoms. Given the taxing nature of working in the ICUs, however, we believe that distributing the burden over additional residents was optimal, improving patient care and reducing resident burnout during a crisis of indefinite length.Less experienced residents, who are closer to training in internal medicine, performed most onsite services. In total, 83% of PGY1 and PGY2 residents were redeployed onsite, versus 67% of PGY3 and 50% of PGY4 residents. Nevertheless, among residents who served onsite in ICUs, the average time commitment (11.4 days) was very similar regardless of PGY class. Additionally, four residents from the PGY3 and PGY4 classes were redeployed remotely as part of a palliative care consultation service assembled to engage in goals of care discussions with families and proxies of critically ill COVID-19 patients.To support house staff working amid the pandemic, the Department of Psychiatry established a debriefing hotline with volunteer mental health professionals. Within the psychiatry residency, process groups also continued to meet remotely. A new process group facilitated by a trauma-informed psychologist was created for PGY1 residents, given their oftentimes distressing experiences of triaging and treating an unprecedented wave of very ill patients. When the number of new cases subsided, the group transitioned to discussing the distinct challenges involved in caring for patients who were enduring long courses of intubation and infirmity. Despite undeniable challenges, many redeployed residents reported feeling a sense of professional duty to take part, as well as pride in their contributions. However, many also remained uneasy and frustrated about the lack of a clear institutional plan for a second viral wave and what potential future redeployment might mean for their safety, well-being, and specialty training.Many patients who were intubated for respiratory failure in March still face a long path to recovery. Those who received tracheostomies and were discharged to rehabilitation facilities remain at high risk for medical complications and readmission, and they may have trauma- and stress-related reactions. As psychiatry residents transition back to their primary training, they are uniquely positioned to empathize with the experiences of patients and other health care providers and to speak with authenticity concerning the collective trauma of the pandemic. These shared experiences will undoubtedly shape our work on inpatient, outpatient, and consultation-liaison psychiatry services for years to come.As COVID-19 continues to spread at the time of this writing, we hope that sharing the experience of our medical center will provide a useful framework as other psychiatry residency programs seek to balance the exigencies of this crisis against their responsibilities and objectives in educating the next generation of psychiatrists.Department of Psychiatry, New York–Presbyterian/Columbia University Irving Medical Center, and New York State Psychiatric Institute, New York.Send correspondence to Dr. Villarin ([email protected]). FiguresReferencesCited byDetailsCited byPositive impact of a telemedicine education program on practicing health care workers during the COVID-19 pandemic in Ontario, Canada: A mixed methods study of an Extension for Community Healthcare Outcomes (ECHO) program28 December 2021 | Journal of Telemedicine and Telecare, Vol. 30, No. 2Early career psychiatrists advocate reorientation not redeployment for COVID-19 care21 November 2021 | International Journal of Social Psychiatry, Vol. 68, No. 7Reflections on redeployment from intellectual disability to a Covid ward9 August 2022 | Progress in Neurology and Psychiatry, Vol. 26, No. 3Impact of COVID-19 on Hematology-Oncology Fellowship Programs: A Quantitative and Qualitative Survey Assessment of Fellowship Program DirectorsJCO Oncology Practice, Vol. 18, No. 4Impact of COVID-19 to Neurosurgical Education: A Systematic Review7 April 2022 | Open Access Macedonian Journal of Medical Sciences, Vol. 10, No. FPathways between COVID-19 public health responses and increasing overdose risks: A rapid review and conceptual frameworkInternational Journal of Drug Policy, Vol. 93Response of the HealthCare Systems to the Pandemic Volume 71Issue 11 November 01, 2020Pages 1207-1207 Metrics KeywordsCOVID-19Intensive careEmergency carePsychiatric residentRapid responsePDF download History Published online 6 October 2020 Published in print 1 November 2020

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,120
Score d'incertitude au seuil0,663

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,063
Tête enseignante GPT0,374
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations13
Publié2020
Routes d'admission1
Résumé présentoui

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