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Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()

INTRODUCTION: The “July effect” refers to the potential of adverse clinical outcomes related to the annual turnover of trainees. We investigated whether this impacts inpatient heart failure (HF) outcomes. METHODS: Data from all adults (≥18 years) admitted with a primary diagnosis of HF at US teachin...

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Autores principales: Kolkailah, Ahmed A., Abougergi, Marwan S., Desai, Parth V., Patel, Axi, Fugar, Setri, Okoh, Alexis K., Al-Ogaili, Ahmed, Hirji, Sameer A., Kaneko, Tsuyoshi, Volgman, Annabelle Santos, Doukky, Rami, Grodin, Justin L., McGuire, Darren K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205541/
https://www.ncbi.nlm.nih.gov/pubmed/35720432
http://dx.doi.org/10.1016/j.ahjo.2021.100072
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author Kolkailah, Ahmed A.
Abougergi, Marwan S.
Desai, Parth V.
Patel, Axi
Fugar, Setri
Okoh, Alexis K.
Al-Ogaili, Ahmed
Hirji, Sameer A.
Kaneko, Tsuyoshi
Volgman, Annabelle Santos
Doukky, Rami
Grodin, Justin L.
McGuire, Darren K.
author_facet Kolkailah, Ahmed A.
Abougergi, Marwan S.
Desai, Parth V.
Patel, Axi
Fugar, Setri
Okoh, Alexis K.
Al-Ogaili, Ahmed
Hirji, Sameer A.
Kaneko, Tsuyoshi
Volgman, Annabelle Santos
Doukky, Rami
Grodin, Justin L.
McGuire, Darren K.
author_sort Kolkailah, Ahmed A.
collection PubMed
description INTRODUCTION: The “July effect” refers to the potential of adverse clinical outcomes related to the annual turnover of trainees. We investigated whether this impacts inpatient heart failure (HF) outcomes. METHODS: Data from all adults (≥18 years) admitted with a primary diagnosis of HF at US teaching hospitals from the 2012–2014 National Inpatient Sample were analyzed. Non-teaching hospital admissions were excluded. The primary outcome was in-hospital mortality. Secondary metrics included hospital length of stay (LOS) and total cost adjusted for inflation. Logistic and linear regression models were used to adjust for confounders. Admissions were classified into 4 quarters (Q1–Q4), based on the academic calendar. Q1 and Q4 were designated to assess the effect of novice (July effect) versus experienced trainees, respectively. RESULTS: There were 699,675 HF admissions during Q1 and Q4 in the study period. Mean age was 71 ± 15 years and 48% were females. There were 20,270 in-hospital deaths, with no difference between Q1 and Q4; crude odds ratio (OR) 1.00, 95% confidence interval (CI) 0.94–1.07, p = 0.95. After risk adjustment, there was no in-hospital mortality difference between Q1 and Q4 admissions; adjusted OR 0.96, 95% CI 0.89–1.03, p = 0.23. There was no difference in hospital LOS or total cost; 5.8 versus 5.8 days, p = 0.66 and $13,755 versus $13,586, p = 0.46, in Q1 and Q4, respectively. CONCLUSIONS: In this nationally representative sample, there was no evidence of a “July effect” on inpatient HF outcomes in the US. This suggests that HF patients should not delay seeking care during trainee transitions at teaching hospitals.
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spelling pubmed-92055412022-06-17 Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions() Kolkailah, Ahmed A. Abougergi, Marwan S. Desai, Parth V. Patel, Axi Fugar, Setri Okoh, Alexis K. Al-Ogaili, Ahmed Hirji, Sameer A. Kaneko, Tsuyoshi Volgman, Annabelle Santos Doukky, Rami Grodin, Justin L. McGuire, Darren K. Am Heart J Plus Article INTRODUCTION: The “July effect” refers to the potential of adverse clinical outcomes related to the annual turnover of trainees. We investigated whether this impacts inpatient heart failure (HF) outcomes. METHODS: Data from all adults (≥18 years) admitted with a primary diagnosis of HF at US teaching hospitals from the 2012–2014 National Inpatient Sample were analyzed. Non-teaching hospital admissions were excluded. The primary outcome was in-hospital mortality. Secondary metrics included hospital length of stay (LOS) and total cost adjusted for inflation. Logistic and linear regression models were used to adjust for confounders. Admissions were classified into 4 quarters (Q1–Q4), based on the academic calendar. Q1 and Q4 were designated to assess the effect of novice (July effect) versus experienced trainees, respectively. RESULTS: There were 699,675 HF admissions during Q1 and Q4 in the study period. Mean age was 71 ± 15 years and 48% were females. There were 20,270 in-hospital deaths, with no difference between Q1 and Q4; crude odds ratio (OR) 1.00, 95% confidence interval (CI) 0.94–1.07, p = 0.95. After risk adjustment, there was no in-hospital mortality difference between Q1 and Q4 admissions; adjusted OR 0.96, 95% CI 0.89–1.03, p = 0.23. There was no difference in hospital LOS or total cost; 5.8 versus 5.8 days, p = 0.66 and $13,755 versus $13,586, p = 0.46, in Q1 and Q4, respectively. CONCLUSIONS: In this nationally representative sample, there was no evidence of a “July effect” on inpatient HF outcomes in the US. This suggests that HF patients should not delay seeking care during trainee transitions at teaching hospitals. 2022-01 2021-11-27 /pmc/articles/PMC9205541/ /pubmed/35720432 http://dx.doi.org/10.1016/j.ahjo.2021.100072 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Kolkailah, Ahmed A.
Abougergi, Marwan S.
Desai, Parth V.
Patel, Axi
Fugar, Setri
Okoh, Alexis K.
Al-Ogaili, Ahmed
Hirji, Sameer A.
Kaneko, Tsuyoshi
Volgman, Annabelle Santos
Doukky, Rami
Grodin, Justin L.
McGuire, Darren K.
Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()
title Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()
title_full Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()
title_fullStr Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()
title_full_unstemmed Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()
title_short Does the “July effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? Real-world analyses of more than half a million US admissions()
title_sort does the “july effect” of new trainees at teaching hospitals impact outcomes for patients hospitalized with heart failure? real-world analyses of more than half a million us admissions()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205541/
https://www.ncbi.nlm.nih.gov/pubmed/35720432
http://dx.doi.org/10.1016/j.ahjo.2021.100072
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