Key result
Physician predictions of next-day discharge had low sensitivity (27%) and PPV (33%) in the morning, which improved to 67% and 69% respectively by the afternoon.
Why the study?
Can general medicine physicians accurately predict hospital discharge for their patients?
Observational
Can general medicine physicians accurately predict hospital discharge for their patients?
Answers are grounded in this paper and cite their sources.
Physicians' ability to correctly predict hospital discharges improves as the time to actual discharge decreases, with morning predictions of next-day discharge being particularly inaccurate.
The goal of this study was to evaluate general medicine physicians' ability to predict hospital discharge. We prospectively asked study subjects to predict whether each patient under their care would be discharged on the next day, on the same day, or neither. Discharge predictions were recorded at 3 time points: mornings (7-9 am), midday (12-2 pm), or afternoons (5-7 pm), for a total of 2641 predictions. For predictions of next-day discharge, the sensitivity (SN) and positive predictive value (PPV) were lowest in the morning (27% and 33%, respectively), but increased by the afternoon (SN 67%, PPV 69%). Similarly, for same-day discharge predictions, SN and PPV were highest at midday (88% and 79%, respectively). We found that although physicians have difficulty predicting next-day discharges in the morning prior to the day of expected discharge, their ability to correctly predict discharges continually improved as the time to actual discharge decreased. Journal of Hospital Medicine 2015;10:808-810.
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Sullivan et al. (2015) conducted an observational in General medicine admission. Time of day for discharge prediction vs. Morning vs midday vs afternoon was evaluated on Sensitivity and positive predictive value of discharge predictions. Physician predictions of next-day discharge had low sensitivity (27%) and PPV (33%) in the morning, which improved to 67% and 69% respectively by the afternoon.
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