Literature DB >> 24866538

Observation stays in administrative claims databases: underestimation of hospitalized cases.

Robert A Overman1, Janet K Freburger, Magdalene M Assimon, Xiaojuan Li, M Alan Brookhart.   

Abstract

PURPOSE: Recent policy changes in the USA have led to an increasing number of patients being placed into observation units rather than admitted directly to the hospital. Studies of administrative data that use inpatient diagnosis codes to identify cohorts, outcomes, or covariates may be affected by this change in practice. To understand the potential impact of observation stays on research using administrative healthcare data, we examine the trends of observation stays, short (≤2 days) inpatient admissions, and all inpatient admissions.
METHODS: We examined a large administrative claims database of commercially insured individuals in the USA between 2002 and 2011. Observation stays were defined on the basis of the procedure codes reimbursable by Medicare or commercial insurers. We report monthly rates of observation stays and short inpatient admissions overall and by patient demographics.
RESULTS: We identified 5 355 752 observation stays from 2002 to 2011. Over the course of study, the rate of observation stays increased, whereas the rate of short inpatient stays declined. The most common reason for observation stays was nonspecific chest pain, also the third most common reason for short inpatient stays. The increasing trend of observation stays related to circulatory diseases mirrors the decreasing trend of short inpatient stays.
CONCLUSIONS: The use of observation stays has increased in patients with commercial insurance. Failure to account for observation stays may lead to an under-ascertainment of hospitalizations in contemporary administrative healthcare data from the USA.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  administrative claims; observation stays; pharmacoepidemiology; research methods

Mesh:

Year:  2014        PMID: 24866538      PMCID: PMC4476545          DOI: 10.1002/pds.3647

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  13 in total

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