Literature DB >> 17497545

Access to drug abuse treatment under Treatment on Demand policy in San Francisco.

James L Sorensen1, Joseph Guydish, Pamela Zilavy, Thomas B Davis, Alice Gleghorn, Marvin Jacoby, Clare Sears.   

Abstract

OBJECTIVES: We evaluated whether implementation of Treatment on Demand (TOD) policy in San Francisco was associated with improved access to drug abuse treatment.
METHODS: Data came from San Francisco's treatment program waiting list over 4 years spanning the implementation of TOD policy. Access measures were monthly applicants waiting and days waited by treatment admissions. Quantitative analyses with 69 treatment facilities contrasted those receiving vs. not receiving TOD funds. Qualitative data came from interviews with facility administrators.
RESULTS: There was a small statistically significant decline in monthly waiting lists in the number of people waiting for treatment during the study period. The days waited by those admitted to treatment, however, significantly increased in TOD-funded facilities. Facilities used varied criteria for completing the access measures, which limit the utility of the measures.
CONCLUSIONS: Access to treatment improved slightly with implementation of TOD policy.

Entities:  

Mesh:

Year:  2007        PMID: 17497545      PMCID: PMC3493250          DOI: 10.1080/00952990601174824

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  11 in total

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5.  Reducing waiting time for substance abuse treatment does not reduce attrition.

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6.  Drug treatment on demand--not.

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7.  Measuring met and unmet need of drug misusers: integration of quantitative and qualitative data.

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8.  The impact of managed care on substance abuse treatment: a report of the American Society of Addiction Medicine.

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9.  Barriers to enrollment in drug abuse treatment and suggestions for reducing them: opinions of drug injecting street outreach clients and other system stakeholders.

Authors:  Philip W Appel; Aletha A Ellison; Hadley K Jansky; Rivka Oldak
Journal:  Am J Drug Alcohol Abuse       Date:  2004       Impact factor: 3.829

10.  Pretreatment dropout as a function of treatment delay and client variables.

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Journal:  Addict Behav       Date:  1995 Jan-Feb       Impact factor: 3.913

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  5 in total

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Journal:  J Subst Abuse Treat       Date:  2012-09-27

3.  Investigating the effects of San Francisco's Treatment on Demand Initiative on a publicly-funded substance abuse treatment system: a time series analysis.

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4.  Drug treatment outcomes for persons on waiting lists.

Authors:  JongSerl Chun; Joseph R Guydish; Ellen Silber; Alice Gleghorn
Journal:  Am J Drug Alcohol Abuse       Date:  2008       Impact factor: 3.829

Review 5.  The recovery spectrum: from self-change to seeking treatment.

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