Literature DB >> 10093017

Episodes of care: theoretical frameworks versus current operational realities.

A K Rosen1, A Mayer-Oakes.   

Abstract

BACKGROUND: Fundamental changes in the structure of the health care industry have stimulated the need for improved definitions of output and for better methods of organizing utilization data into appropriate units. Although the "episode of care" concept has existed since the 1960s, its recognition as integral to the management of health care cost and utilization is relatively recent. Conceptually, episodes of care represent a meaningful unit of analysis for assessing the full range of primary and specialty services provided in treating a particular health problem. Proprietary episode software grouper products are currently being used by health care organizations for the purposes of provider profiling, clinical benchmarking, disease management, and quality measurement. DESCRIPTION OF EPISODE GROUPER SOFTWARE PRODUCTS: Four episode grouper products are described that use a computerized approach for developing episodes of care from administrative data. They are compared on several characteristics, including purpose, case-mix adjustment, comprehensiveness, and clinical flexibility. Their differences in episode construction, such as how the start points and endpoints of an episode are defined, are also delineated.
CONCLUSIONS: Episode groupers are critical to the analysis of health care delivery, since they focus on the entire process of care. Although all the groupers reviewed have many strengths, much developmental work still needs to occur in order to standardize the measurement and operationalization of episodes of care as units of analysis. Furthermore, until the data sources used are more valid and reliable, they will at best remain gross screening measures of quality.

Mesh:

Year:  1999        PMID: 10093017     DOI: 10.1016/s1070-3241(16)30431-x

Source DB:  PubMed          Journal:  Jt Comm J Qual Improv        ISSN: 1070-3241


  8 in total

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2.  Development of an algorithm to identify pregnancy episodes in an integrated health care delivery system.

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Journal:  Health Serv Res       Date:  2007-04       Impact factor: 3.402

3.  Analyzing change in recovery patterns in the year after acute hospitalization.

Authors:  Janet A Prvu Bettger; Wendy J Coster; Nancy K Latham; Julie J Keysor
Journal:  Arch Phys Med Rehabil       Date:  2008-07       Impact factor: 3.966

4.  Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approach.

Authors:  Jaakko Riihimäki; Reijo Sund; Aki Vehtari
Journal:  Health Care Manag Sci       Date:  2010-06

5.  Patterns of mental health care utilisation: distribution of services and its predictability from routine data.

Authors:  Torhild Heggestad; Solfrid E Lilleeng; Torleif Ruud
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2010-10-12       Impact factor: 4.328

6.  Should episode-based economic profiles be risk adjusted to account for differences in patients' health risks?

Authors:  J William Thomas
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

7.  Utilization of routinely collected administrative data in monitoring the incidence of aging dependent hip fracture.

Authors:  Reijo Sund
Journal:  Epidemiol Perspect Innov       Date:  2007-06-07

8.  Dual Healthcare System Use During Episodes of Acute Care Heart Failure Associated With Higher Healthcare Utilization and Mortality Risk.

Authors:  R Neal Axon; Mulugeta Gebregziabher; Charles J Everett; Paul Heidenreich; Kelly J Hunt
Journal:  J Am Heart Assoc       Date:  2018-08-07       Impact factor: 5.501

  8 in total

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