Predicting Patients at Risk for Prolonged Hospital Stays.

ABSTRACT:

Background

Patients with prolonged hospitalizations account for 14% of all hospital days in US hospitals. Predicting which medical patients are at risk for prolonged hospitalizations would allow early proactive management to reduce their length of stay.

Methods

Using the National Inpatient Sample, we examined risk factors for prolonged hospitalizations among adults hospitalized on the medicine service in 2014. We defined prolonged hospitalizations as those lasting 21 days or longer. We divided the sample into derivation and validation sets, and used logistic regression to identify significant risk factors in the derivation set, which were validated in the validation set. We used the estimates from the model to derive a risk score for prolonged hospitalizations.

Results

SUBMITTER: Doctoroff L 

PROVIDER: S-EPMC7444462 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature