Literature DB >> 15135838

Alcoholism treatment episodes validly defined using mental health care utilization records.

Melanie M Wall1, Kurt D Stromberg, Sandra Pothoff, Robert L Kane.   

Abstract

OBJECTIVE: We propose a method for defining and empirically validating episodes of alcoholism treatment from health care utilization records. STUDY DESIGN AND
SETTING: The study includes utilization records from 86,207 patients enrolled in a large managed behavioral care company who had at least one alcoholism encounter between 1991 and 1998. Treatment episodes are defined as a minimum number of alcoholism treatment encounters with the behavioral care company prior to a "clear zone" of no encounters. Statistical procedures to select a subset of episode definitions from a number of candidate definitions and methods for assessing the convergent and criterion validity of the definitions are presented.
RESULTS: The percentage of patients having at least one episode of alcoholism treatment varies from 43% to 77%, with the results being more sensitive to the minimum number of encounters required than the length of the clear zone. Criterion validity does not reveal any clear "winning" definitions; positive predictive ability increases most rapidly when going from 2 to 3 encounters required.
CONCLUSION: The most robust definitions of an alcoholism treatment episode entail 3 to 4 encounters with a clear zone of 3 to 4 months.

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Year:  2004        PMID: 15135838     DOI: 10.1016/j.jclinepi.2003.08.008

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

1.  Mental health and substance abuse treatment utilization among individuals served by multiple public agencies in 3 states.

Authors:  Jeremy W Bray; Keith L Davis; Linda Graver; Don Schroeder; Jeffrey A Buck; Joan Dilonardo; Rita Vandivort
Journal:  J Behav Health Serv Res       Date:  2005 Jul-Sep       Impact factor: 1.505

2.  Multiple indicator hidden Markov model with an application to medical utilization data.

Authors:  Melanie M Wall; Ran Li
Journal:  Stat Med       Date:  2009-01-30       Impact factor: 2.373

  2 in total

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