Ontology highlight
ABSTRACT: Objective
To assess patient- and hospital-level factors associated with home health care (HHC) referrals following nonelective U.S. patient hospitalizations in 2012.Data source
The 2012 National Inpatient Sample (NIS).Study design
Retrospective, cross-sectional multivariable logistic regression modeling to assess patient- and hospital-level variables in patient discharges with versus without HHC referrals.Data collection
Analysis included 1,109,905 discharges in patients ?65 years with Medicare.Principal findings
About 29.2 percent of discharges were referred to HHC, which were more likely with older age, female sex, urban location, low income, longer length of stay, higher severity of illness scores, diagnoses of heart failure or sepsis, and hospital location in New England (referent: Pacific).Conclusions
As health policy changes influence postacute HHC, defining specific diagnoses and regional patterns associated with HHC is a first step to optimize postacute HHC services.
SUBMITTER: Jones CD
PROVIDER: S-EPMC5346498 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Jones Christine D CD Wald Heidi L HL Boxer Rebecca S RS Masoudi Frederick A FA Burke Robert E RE Capp Roberta R Coleman Eric A EA Ginde Adit A AA
Health services research 20160516 2
<h4>Objective</h4>To assess patient- and hospital-level factors associated with home health care (HHC) referrals following nonelective U.S. patient hospitalizations in 2012.<h4>Data source</h4>The 2012 National Inpatient Sample (NIS).<h4>Study design</h4>Retrospective, cross-sectional multivariable logistic regression modeling to assess patient- and hospital-level variables in patient discharges with versus without HHC referrals.<h4>Data collection</h4>Analysis included 1,109,905 discharges in p ...[more]