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Rhee DW, Reinstein I, Jrada M, Pendse J, Cocks P, Stern DT, Sartori DJ. Mapping hospital data to characterize residents' educational experiences. BMC Med Educ 2022; 22:496. [PMID: 35752814 PMCID: PMC9233374 DOI: 10.1186/s12909-022-03561-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/06/2022] [Indexed: 06/04/2023]
Abstract
BACKGROUND Experiential learning through patient care is fundamental to graduate medical education. Despite this, the actual content to which trainees are exposed in clinical practice is difficult to quantify and is poorly characterized. There remains an unmet need to define precisely how residents' patient care activities inform their educational experience. METHODS: Using a recently-described crosswalk tool, we mapped principal ICD-10 discharge diagnosis codes to American Board of Internal Medicine (ABIM) content at four training hospitals of a single Internal Medicine (IM) Residency Program over one academic year to characterize and compare residents' clinical educational experiences. Frequencies of broad content categories and more specific condition categories were compared across sites to profile residents' aggregate inpatient clinical experiences and drive curricular change. RESULTS There were 18,604 discharges from inpatient resident teams during the study period. The crosswalk captured > 95% of discharges at each site. Infectious Disease (ranging 17.4 to 39.5% of total discharges) and Cardiovascular Disease (15.8 to 38.2%) represented the most common content categories at each site. Several content areas (Allergy/Immunology, Dermatology, Obstetrics/Gynecology, Ophthalmology, Otolaryngology/Dental Medicine) were notably underrepresented (≤ 1% at each site). There were significant differences in the frequencies of conditions within most content categories, suggesting that residents experience distinct site-specific clinical content during their inpatient training. CONCLUSIONS There were substantial differences in the clinical content experienced by our residents across hospital sites, prompting several important programmatic and curricular changes to enrich our residents' hospital-based educational experiences.
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Affiliation(s)
- David W Rhee
- Leon H. Charney Division of Cardiology, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Ilan Reinstein
- Institute for Innovations in Medical Education, NYU Langone Health, New York, NY, USA
| | - Morris Jrada
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Jay Pendse
- Division of Endocrinology, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Patrick Cocks
- Internal Medicine Residency Program, Department of Medicine, NYU Grossman School of Medicine, NYU Langone Hospital - Brooklyn, New York, USA
| | - David T Stern
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
- VA NY Harbor Health, New York, NY, USA
| | - Daniel J Sartori
- Internal Medicine Residency Program, Department of Medicine, NYU Grossman School of Medicine, NYU Langone Hospital - Brooklyn, New York, USA.
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Ulrich RJ, Troxel AB, Carmody E, Eapen J, Bäcker M, DeHovitz JA, Prasad PJ, Li Y, Delgado C, Jrada M, Robbins GA, Henderson B, Hrycko A, Delpachitra D, Raabe V, Austrian JS, Dubrovskaya Y, Mulligan MJ. Treating COVID-19 With Hydroxychloroquine (TEACH): A Multicenter, Double-Blind Randomized Controlled Trial in Hospitalized Patients. Open Forum Infect Dis 2020; 7:ofaa446. [PMID: 33134417 PMCID: PMC7543602 DOI: 10.1093/ofid/ofaa446] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 09/17/2020] [Indexed: 12/22/2022] Open
Abstract
Background Effective therapies to combat coronavirus 2019 (COVID-19) are urgently needed. Hydroxychloroquine (HCQ) has in vitro antiviral activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the clinical benefit of HCQ in treating COVID-19 is unclear. Randomized controlled trials are needed to determine the safety and efficacy of HCQ for the treatment of hospitalized patients with COVID-19. Methods We conducted a multicenter, double-blind randomized clinical trial of HCQ among patients hospitalized with laboratory-confirmed COVID-19. Subjects were randomized in a 1:1 ratio to HCQ or placebo for 5 days and followed for 30 days. The primary efficacy outcome was a severe disease progression composite end point (death, intensive care unit admission, mechanical ventilation, extracorporeal membrane oxygenation, and/or vasopressor use) at day 14. Results A total of 128 patients were included in the intention-to-treat analysis. Baseline demographic, clinical, and laboratory characteristics were similar between the HCQ (n = 67) and placebo (n = 61) arms. At day 14, 11 (16.4%) subjects assigned to HCQ and 6 (9.8%) subjects assigned to placebo met the severe disease progression end point, but this did not achieve statistical significance (P = .350). There were no significant differences in COVID-19 clinical scores, number of oxygen-free days, SARS-CoV-2 clearance, or adverse events between HCQ and placebo. HCQ was associated with a slight increase in mean corrected QT interval, an increased D-dimer, and a trend toward an increased length of stay. Conclusions In hospitalized patients with COVID-19, our data suggest that HCQ does not prevent severe outcomes or improve clinical scores. However, our conclusions are limited by a relatively small sample size, and larger randomized controlled trials or pooled analyses are needed.
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Affiliation(s)
- Robert J Ulrich
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
| | - Andrea B Troxel
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.,Division of Biostatistics, New York University Grossman School of Medicine, New York, New York, USA
| | - Ellie Carmody
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
| | - Jaishvi Eapen
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
| | - Martin Bäcker
- Department of Medicine, Division of Infectious Diseases, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Jack A DeHovitz
- Department of Medicine, Division of Infectious Diseases, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Prithiv J Prasad
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
| | - Yi Li
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.,Division of Biostatistics, New York University Grossman School of Medicine, New York, New York, USA
| | - Camila Delgado
- New York University Grossman School of Medicine, New York, New York, USA
| | - Morris Jrada
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
| | - Gabriel A Robbins
- Department of Pediatrics, New York University Grossman School of Medicine, New York, New York, USA.,Division of Pediatric Hematology-Oncology, New York University Grossman School of Medicine, New York, New York, USA
| | - Brooklyn Henderson
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
| | - Alexander Hrycko
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
| | - Dinuli Delpachitra
- Department of Medicine, Division of Infectious Diseases, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Vanessa Raabe
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Department of Pediatrics, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA.,Divison of Pediatric Infectious Diseases, New York University Grossman School of Medicine, New York, New York, USA
| | - Jonathan S Austrian
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
| | - Yanina Dubrovskaya
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA.,Department of Pharmacy, NYU Langone Health, New York, New York, USA
| | - Mark J Mulligan
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA.,Division of Infectious Diseases and Immunology, New York University Grossman School of Medicine, New York, New York, USA
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Hayon J, Dapkins I, Shahin G, Colella D, Jrada M, Bhakta D, Allen. Pasco N. 311. Hepatitis C Screening Within a Large FQHC Network in Brooklyn, New York: How We Measure Across an Ethnically Diverse Population. Open Forum Infect Dis 2019. [PMCID: PMC6809810 DOI: 10.1093/ofid/ofz360.384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Background With over 100,000 unique lives and 600,000 visits in 2018, The Family Health Centers at NYU Langone (FHC) is one of the largest Federally Qualified Health Center network based primarily in Southwest Brooklyn New York. Within the catchment area 48% of the population report being born out of the United States, with 30% of the population describing themselves of Asian ethnicity and 42% as Latino [1]. Effective January 1, 2014 New York State law mandated hepatitis C screening to be offered to every individual born between 1945 and 1965 receiving health services. Now five years later, with the advancements in treatment options and increased access for patients where cost has become prohibitive we retrospectively reviewed how our performance has been prior to embarking on a goal of 60% screening compliance. Methods We performed a retrospective chart review looking at a denominator of patients born between 1945 and 1965 who were seen in the FHC for a visit in 2018. Patients who were previously screened since 2016, have a diagnosis of hepatitis C, history of hepatitis C documented in either past medical history, problem list or ICD code were excluded. Data abstraction for compliance in the numerator included patients who have a resulted hepatitis C antibody or have indicated current treatment (with a hepatitis C viral load). Results 51% of patients based on the aforementioned methodology have been screened in 2018. 11,577 patients were eligible with 650 patients having a documented refusal. 261 new diagnosis were made in 2018 and compliance for non-screened patients without any prior screening was 35%. Regarding racial/ethnic composition of the practice sites compared with patients screened, one practice site with an 87% Asian non-Hispanic population had a 35% compliance rate with screening where as the most predominate Hispanic population site (81% of total patients seen) had a 54% compliance rate. Conclusion Overall screening rates within the network are commendable, yet more work is being done to drive provider awareness on the need for compliance. Differences in racial/ethnic backgrounds and compliance of screening completion can be seen within the FHC network. Current efforts are focused on increasing culturally appropriate awareness amongst the patient population as well as the providers. Disclosures All authors: No reported disclosures.
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Affiliation(s)
- Jesica Hayon
- Family Health Center at NYU Langone, New York City, New York
| | | | - George Shahin
- Family Health Centers at NYU Langone, Brooklyn, New York
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