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

Frontline Redeployment of Psychiatry Residents During the COVID-19 Pandemic

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

Bibliographic record

VenuePsychiatric Services · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsCoronavirus disease 2019 (COVID-19)PandemicPsychological interventionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Intensive careMedicineIntensive care unitPsychologyPsychiatryFamily medicineInternal medicine

Abstract

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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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.374
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations13
Published2020
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