Literature DB >> 9566181

A discrete choice model of drug abuse treatment location.

A C Goodman1, E Nishiura, J R Hankin.   

Abstract

OBJECTIVE: To identify short-term drug abuse treatment location risk factors for ten large, self-insured firms starting January 1, 1989 and ending December 31, 1991. DATA SOURCES/STUDY
SETTING: Study population selected from a large database of health insurance claims for all treatment events starting January 1, 1989 and ending December 31, 1991. STUDY
DESIGN: A nested binomial logit method is used to estimate firm-specific patterns of treatment location. The differences in treatment location patterns among firms are then decomposed into firm effects (holding explanatory variables constant among firms) and variable effects (holding firm-specific parameters constant). PRINCIPAL
FINDINGS: Probability of inpatient drug treatment is directly related to the type of drug diagnosis. The most important factors are diagnoses of drug dependence (versus drug abuse) and/or a cocaine dependence. Firm-specific factors also make a substantive difference. Controlling for patient risk factors, firm-specific probabilities of inpatient treatment vary by as much as 87 percent. Controlling for practices of firms and their insurance carriers, differing patient risk profiles cause probabilities of inpatient treatment to vary by as much as 69 percent among firms. Use of the outpatient setting increased over the three-year period.
CONCLUSIONS: There are two plausible explanations for the findings. First, people beginning treatment later in the three-year period had less severe conditions than earlier cases and therefore had less need of inpatient treatment. Second, drug abuse treatment experienced the same trend toward the increased use of outpatient care that characterized treatment for other illnesses in the 1980s and early 1990s.

Entities:  

Mesh:

Year:  1998        PMID: 9566181      PMCID: PMC1070250     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  12 in total

1.  Comorbidity of mental disorders with alcohol and other drug abuse. Results from the Epidemiologic Catchment Area (ECA) Study.

Authors:  D A Regier; M E Farmer; D S Rae; B Z Locke; S J Keith; L L Judd; F K Goodwin
Journal:  JAMA       Date:  1990-11-21       Impact factor: 56.272

2.  A discrete choice model of alcoholism treatment location.

Authors:  A C Goodman; H D Holder; E Nishiura; J R Hankin
Journal:  Med Care       Date:  1992-12       Impact factor: 2.983

3.  Long-term alcoholism treatment costs.

Authors:  A C Goodman; E Nishiura; J R Hankin; H D Holder; J M Tilford
Journal:  Med Care Res Rev       Date:  1996-12       Impact factor: 3.929

Review 4.  Inpatient alcoholism treatment. Who benefits?

Authors:  W R Miller; R K Hester
Journal:  Am Psychol       Date:  1986-07

5.  Typical patterns and cost of alcoholism treatment across a variety of populations and providers.

Authors:  H D Holder; J O Blose
Journal:  Alcohol Clin Exp Res       Date:  1991-03       Impact factor: 3.455

6.  Effectiveness and costs of inpatient versus day hospital cocaine rehabilitation.

Authors:  A I Alterman; C P O'Brien; A T McLellan; D S August; E C Snider; M Droba; J W Cornish; C P Hall; A H Raphaelson; F X Schrade
Journal:  J Nerv Ment Dis       Date:  1994-03       Impact factor: 2.254

7.  Substance abuse among the chronic mentally ill.

Authors:  R E Drake; M A Wallach
Journal:  Hosp Community Psychiatry       Date:  1989-10

8.  Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey.

Authors:  R C Kessler; K A McGonagle; S Zhao; C B Nelson; M Hughes; S Eshleman; H U Wittchen; K S Kendler
Journal:  Arch Gen Psychiatry       Date:  1994-01

9.  Inpatient and outpatient cocaine abusers: clinical comparisons at intake and one-year follow-up.

Authors:  D Budde; B Rounsaville; K Bryant
Journal:  J Subst Abuse Treat       Date:  1992

10.  A behavioral approach to achieving initial cocaine abstinence.

Authors:  S T Higgins; D D Delaney; A J Budney; W K Bickel; J R Hughes; F Foerg; J W Fenwick
Journal:  Am J Psychiatry       Date:  1991-09       Impact factor: 18.112

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