Key result
Admission during the 'July effect' period of novice trainees was not associated with increased in-hospital mortality compared to experienced trainees (adjusted OR 0.96; 95% CI 0.89-1.03; p=0.23).
Why the study?
It was unknown whether the July effect, referring to potential adverse outcomes from annual trainee turnover, impacts inpatient heart failure outcomes.
Does admission during the 'July effect' (Q1) increase in-hospital mortality in adults hospitalized with heart failure at teaching hospitals?
Observational (n=699,675)
Yes
Does admission during the 'July effect' (Q1) increase in-hospital mortality in adults hospitalized with heart failure at teaching hospitals?
Odds Ratio: 0.96 (95% CI 0.89–1.03)
p-value: p=0.23
There is no evidence of a 'July effect' on inpatient heart failure outcomes at US teaching hospitals, indicating care quality is maintained during trainee transitions.
Supports stable HF outcomes during trainee transitions; leaves open effects on other endpoints or non-teaching settings.
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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Kolkailah et al. (2021) conducted an observational in Heart failure (n=699,675). Novice trainees (July effect / Q1 admissions) vs. Experienced trainees (Q4 admissions) was evaluated on In-hospital mortality (adjusted OR 0.96, 95% CI 0.89-1.03, p=0.23). Admission during the 'July effect' period of novice trainees was not associated with increased in-hospital mortality compared to experienced trainees (adjusted OR 0.96; 95% CI 0.89-1.03; p=0.23).
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