Literature DB >> 19549053

Opioid agonist pharmacotherapy in New South Wales from 1985 to 2006: patient characteristics and patterns and predictors of treatment retention.

Lucy Burns1, Deborah Randall, Wayne D Hall, Matthew Law, Tony Butler, James Bell, Louisa Degenhardt.   

Abstract

AIMS: The aims of this study were to: examine the number and characteristics of patients entering and re-entering opioid replacement treatment between 1985 and 2006, to examine select demographic and treatment correlates of leaving treatment between 1985 and 2000, and to compare retention rates in methadone and buprenorphine maintenance treatment from 2001 to 2006.
DESIGN: A retrospective cohort study using register data from the Pharmaceutical Drugs of Addiction System.
SETTING: Opioid substitution treatment in New South Wales (NSW), Australia. PARTICIPANTS: A total of n = 42 690 individuals prescribed opioid replacement treatment between 1985 and 2006 in NSW. MEASUREMENTS: Client characteristics over time, retention in days in first treatment episode, number of episodes of treatment and proportion switching medication.
FINDINGS: Overall, younger individuals were significantly more likely to leave their first treatment episode than older individuals. In 2001-06, after controlling for age, sex and first administration point, the hazard of leaving treatment was 1.9 times for those on buprenorphine relative to those on methadone. Retention in treatment varied somewhat across historical time, with those entering during 1995-2000 more likely to leave at an earlier stage than those who entered before that time.
CONCLUSIONS: Retention in treatment appears to fluctuate in inverse proportion to the availability of heroin. Individuals in contemporary treatment are older users with a lengthy treatment history. This study has provided population-level evidence to suggest that retention in methadone and buprenorphine differ in routine clinical practice. Future work might investigate ways in which patient adherence and retention may be improved.

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Year:  2009        PMID: 19549053     DOI: 10.1111/j.1360-0443.2009.02633.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  18 in total

1.  Defining dosing pattern characteristics of successful tapers following methadone maintenance treatment: results from a population-based retrospective cohort study.

Authors:  Bohdan Nosyk; Huiying Sun; Elizabeth Evans; David C Marsh; M Douglas Anglin; Yih-Ing Hser; Aslam H Anis
Journal:  Addiction       Date:  2012-05-08       Impact factor: 6.526

2.  Predictors of attrition with buprenorphine/naloxone treatment in opioid dependent youth.

Authors:  Diane Warden; Geetha A Subramaniam; Thomas Carmody; George E Woody; Abu Minhajuddin; Sabrina A Poole; Jennifer Potter; Marc Fishman; Michael Bogenschutz; Ashwin Patkar; Madhukar H Trivedi
Journal:  Addict Behav       Date:  2012-05-08       Impact factor: 3.913

3.  Adherence to and Retention in Medications for Opioid Use Disorder Among Adolescents and Young Adults.

Authors:  Adam Viera; Daniel J Bromberg; Shannon Whittaker; Bryan M Refsland; Milena Stanojlović; Kate Nyhan; Frederick L Altice
Journal:  Epidemiol Rev       Date:  2020-01-31       Impact factor: 6.222

4.  Interim methadone treatment compared to standard methadone treatment: 4-month findings.

Authors:  Robert P Schwartz; Sharon M Kelly; Kevin E O'Grady; Devang Gandhi; Jerome H Jaffe
Journal:  J Subst Abuse Treat       Date:  2011-02-24

5.  Sex differences amongst dependent heroin users: histories, clinical characteristics and predictors of other substance dependence.

Authors:  Fiona L Shand; Louisa Degenhardt; Tim Slade; Elliot C Nelson
Journal:  Addict Behav       Date:  2010-08-10       Impact factor: 3.913

6.  Hospitalized opioid-dependent patients: Exploring predictors of buprenorphine treatment entry and retention after discharge.

Authors:  Christina S Lee; Jane M Liebschutz; Bradley J Anderson; Michael D Stein
Journal:  Am J Addict       Date:  2017-03-21

7.  Demographic and clinical factors predicting retention in methadone maintenance: results from an Irish cohort.

Authors:  C D Darker; J Ho; G Kelly; L Whiston; J Barry
Journal:  Ir J Med Sci       Date:  2015-05-31       Impact factor: 1.568

8.  Cost-effectiveness of diacetylmorphine versus methadone for chronic opioid dependence refractory to treatment.

Authors:  Bohdan Nosyk; Daphne P Guh; Nicholas J Bansback; Eugenia Oviedo-Joekes; Suzanne Brissette; David C Marsh; Evan Meikleham; Martin T Schechter; Aslam H Anis
Journal:  CMAJ       Date:  2012-03-12       Impact factor: 8.262

9.  Retention in methadone and buprenorphine treatment among African Americans.

Authors:  Jan Gryczynski; Shannon Gwin Mitchell; Jerome H Jaffe; Sharon M Kelly; C Patrick Myers; Kevin E O'Grady; Yngvild K Olsen; Robert P Schwartz
Journal:  J Subst Abuse Treat       Date:  2013-04-05

10.  What is required for achieving hepatitis C virus elimination in Singapore? A modeling study.

Authors:  Antoine Chaillon; Prem Harichander Thurairajah; John Chen Hsiang; Natasha K Martin
Journal:  J Gastroenterol Hepatol       Date:  2020-09-03       Impact factor: 4.029

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