2014
DOI: 10.1016/j.jval.2014.03.770
|View full text |Cite
|
Sign up to set email alerts
|

Predicting High Cost Accumulation: Application Of A Grouping Algorithm For Survival Data

Abstract: A133 hospitalized for ≥ 2 days (hospitalized patients; HPs), or using emergency room (ER) or observation for 1 day (emergency room patients; ERPs). Reimbursements were based on claims and inflated to 2010 USD; costs were derived from 2010 Premier data. Net reimbursement was analyzed by MS-DRG and length of stay (LOS). The risk of all-cause hospitalization and factors correlated with LOS were determined using regression modeling. Results: Across all study years, the median age was 71 for HPs, 65 for ERPs. Media… Show more

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles