Literature DB >> 21781202

Primary outcome indices in illicit drug dependence treatment research: systematic approach to selection and measurement of drug use end-points in clinical trials.

Dennis M Donovan1, George E Bigelow, Gregory S Brigham, Kathleen M Carroll, Allan J Cohen, John G Gardin, John A Hamilton, Marilyn A Huestis, John R Hughes, Robert Lindblad, G Alan Marlatt, Kenzie L Preston, Jeffrey A Selzer, Eugene C Somoza, Paul G Wakim, Elizabeth A Wells.   

Abstract

AIMS: Clinical trials test the safety and efficacy of behavioral and pharmacological interventions in drug-dependent individuals. However, there is no consensus about the most appropriate outcome(s) to consider in determining treatment efficacy or on the most appropriate methods for assessing selected outcome(s). We summarize the discussion and recommendations of treatment and research experts, convened by the US National Institute on Drug Abuse, to select appropriate primary outcomes for drug dependence treatment clinical trials, and in particular the feasibility of selecting a common outcome to be included in all or most trials.
METHODS: A brief history of outcomes employed in prior drug dependence treatment research, incorporating perspectives from tobacco and alcohol research, is included. The relative merits and limitations of focusing on drug-taking behavior, as measured by self-report and qualitative or quantitative biological markers, are evaluated.
RESULTS: Drug-taking behavior, measured ideally by a combination of self-report and biological indicators, is seen as the most appropriate proximal primary outcome in drug dependence treatment clinical trials.
CONCLUSIONS: We conclude that the most appropriate outcome will vary as a function of salient variables inherent in the clinical trial, such as the type of intervention, its target, treatment goals (e.g. abstinence or reduction of use) and the perspective being taken (e.g. researcher, clinical program, patient, society). It is recommended that a decision process, based on such trial variables, be developed to guide the selection of primary and secondary outcomes as well as the methods to assess them.
© 2011 Society for the Study of Addiction. No claim to original US government works.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21781202      PMCID: PMC3537825          DOI: 10.1111/j.1360-0443.2011.03473.x

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


  84 in total

1.  Biochemical verification of tobacco use and cessation.

Authors: 
Journal:  Nicotine Tob Res       Date:  2002-05       Impact factor: 4.244

Review 2.  Outcome variables and their assessment in alcohol treatment studies: 1968-1998.

Authors:  John W Finney; Anne Moyer; Carolyn E Swearingen
Journal:  Alcohol Clin Exp Res       Date:  2003-10       Impact factor: 3.455

3.  Calculating standard drink units: international comparisons.

Authors:  W R Miller; N Heather; W Hall
Journal:  Br J Addict       Date:  1991-01

Review 4.  Choosing drug use measures for treatment outcome studies. II. Timing baseline and follow-up measurement.

Authors:  E A Wells; J D Hawkins; R F Catalano
Journal:  Int J Addict       Date:  1988-08

5.  Talk is cheap: measuring drinking outcomes in clinical trials.

Authors:  T F Babor; K Steinberg; R Anton; F Del Boca
Journal:  J Stud Alcohol       Date:  2000-01

Review 6.  Should criteria for drug dependence differ across drugs?

Authors:  John R Hughes
Journal:  Addiction       Date:  2006-09       Impact factor: 6.526

Review 7.  Measurement of drinking behavior using the Form 90 family of instruments.

Authors:  W R Miller; F K Del Boca
Journal:  J Stud Alcohol Suppl       Date:  1994-12

8.  Measuring outcome in cocaine clinical trials: a comparison of sweat patches with urine toxicology and participant self-report.

Authors:  Theresa M Winhusen; Eugene C Somoza; Bonita Singal; Sunme Kim; Paul S Horn; John Rotrosen
Journal:  Addiction       Date:  2003-03       Impact factor: 6.526

9.  A MEDICAL TREATMENT FOR DIACETYLMORPHINE (HEROIN) ADDICTION. A CLINICAL TRIAL WITH METHADONE HYDROCHLORIDE.

Authors:  V P DOLE; M NYSWANDER
Journal:  JAMA       Date:  1965-08-23       Impact factor: 56.272

10.  Testing human hair for drugs of abuse. IV. Environmental cocaine contamination and washing effects.

Authors:  W L Wang; E J Cone
Journal:  Forensic Sci Int       Date:  1995-01-05       Impact factor: 2.395

View more
  88 in total

1.  Combining cognitive behavioral therapy and contingency management to enhance their effects in treating cannabis dependence: less can be more, more or less.

Authors:  Kathleen M Carroll; Charla Nich; Donna M Lapaglia; Erica N Peters; Caroline J Easton; Nancy M Petry
Journal:  Addiction       Date:  2012-05-08       Impact factor: 6.526

2.  Does treatment fidelity predict client outcomes in 12-Step Facilitation for stimulant abuse?

Authors:  Joseph Guydish; Barbara K Campbell; Jennifer K Manuel; Kevin L Delucchi; Thao Le; K Michelle Peavy; Dennis McCarty
Journal:  Drug Alcohol Depend       Date:  2013-11-04       Impact factor: 4.492

3.  Internalized stigma as an independent risk factor for substance use problems among primary care patients: Rationale and preliminary support.

Authors:  Magdalena Kulesza; Katherine E Watkins; Allison J Ober; Karen C Osilla; Brett Ewing
Journal:  Drug Alcohol Depend       Date:  2017-08-31       Impact factor: 4.492

Review 4.  Toward empirical identification of a clinically meaningful indicator of treatment outcome: features of candidate indicators and evaluation of sensitivity to treatment effects and relationship to one year follow up cocaine use outcomes.

Authors:  Kathleen M Carroll; Brian D Kiluk; Charla Nich; Elise E DeVito; Suzanne Decker; Donna LaPaglia; Dianne Duffey; Theresa A Babuscio; Samuel A Ball
Journal:  Drug Alcohol Depend       Date:  2014-01-31       Impact factor: 4.492

5.  Sedentary college student drinkers can start exercising and reduce drinking after intervention.

Authors:  Jeremiah Weinstock; Nancy M Petry; Linda S Pescatello; Craig E Henderson
Journal:  Psychol Addict Behav       Date:  2016-09-26

6.  Hair drug testing results and self-reported drug use among primary care patients with moderate-risk illicit drug use.

Authors:  Jan Gryczynski; Robert P Schwartz; Shannon Gwin Mitchell; Kevin E O'Grady; Steven J Ondersma
Journal:  Drug Alcohol Depend       Date:  2014-05-17       Impact factor: 4.492

7.  Sensitivity analysis for non-monotone missing binary data in longitudinal studies: Application to the NIDA collaborative cocaine treatment study.

Authors:  Garrett M Fitzmaurice; Stuart R Lipsitz; Roger D Weiss
Journal:  Stat Methods Med Res       Date:  2018-08-27       Impact factor: 3.021

8.  Opioid use trajectory groups and changes in a physical health biomarker among HIV-positive and uninfected patients receiving opioid agonist treatment.

Authors:  Kathleen A McGinnis; David A Fiellin; Melissa Skanderson; Yih-Ing Hser; Gregory M Lucas; Amy C Justice; Janet P Tate
Journal:  Drug Alcohol Depend       Date:  2019-09-04       Impact factor: 4.492

9.  Change in employment status and cocaine use treatment outcomes: A secondary analysis across six clinical trials.

Authors:  André Q C Miguel; Brian D Kiluk; Corey R Roos; Theresa A Babuscio; Charla Nich; Jair J Mari; Kathleen M Carroll
Journal:  J Subst Abuse Treat       Date:  2019-09-05

10.  Psychometric Evaluation of the Timeline Followback for Exercise among College Students.

Authors:  Gregory A Panza; Jeremiah Weinstock; Garrett I Ash; Linda S Pescatello
Journal:  Psychol Sport Exerc       Date:  2012-06-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.