Literature DB >> 17999707

Regression to the mean in substance use disorder treatment research.

John W Finney1.   

Abstract

AIMS: Regression to the mean (RTM) refers to the tendency for a group of cases that differ from the population mean to move (regress) towards the mean, on average, when re-assessed, if scores at the two points are less than perfectly correlated. This paper considers factors that affect the magnitude of RTM and how RTM may impact findings from primary studies and reviews of substance use disorder (SUD) treatment. DESIGN AND METHODS: The paper is guided largely by A Primer on Regression Artifacts by Campbell and Kenny. It reviews potential RTM effects in three areas of SUD treatment research. One is the extent to which within-group improvement in comparative treatment trials, including 'placebo effects', is a function of RTM. The second is the vulnerability of treatment evaluations employing non-equivalent control group designs to RTM and biased estimates of treatment effects when matching, or statistical equating is used to adjust for pre-existing group differences. The final issue is the impact of RTM in syntheses of research findings on SUD treatments. In particular, the tendency for later studies of a particular intervention to have smaller treatment effect sizes relative to earlier studies is considered as an RTM phenomenon.
FINDINGS: RTM is a pervasive, but often unrecognized phenomenon that can bias findings in SUD treatment studies and in systematic reviews of that research.
CONCLUSION: SUD treatment researchers should be aware of RTM, take any available steps to reduce it, and try to diagnose whether it is still affecting research findings.

Mesh:

Year:  2007        PMID: 17999707     DOI: 10.1111/j.1360-0443.2007.02032.x

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


  32 in total

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Authors:  Brenda M Booth; Geoffrey Curran; Xiaotong Han; Patricia Wright; Sarah Frith; Carl Leukefeld; Russel Falck; Robert G Carlson
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4.  "Ready, willing, and (not) able" to change: young adults' response to residential treatment.

Authors:  J F Kelly; K A Urbanoski; B B Hoeppner; V Slaymaker
Journal:  Drug Alcohol Depend       Date:  2011-09-28       Impact factor: 4.492

5.  Brief intervention for women with risky drinking and medical diagnoses: a randomized controlled trial.

Authors:  Grace Chang; Naomi D L Fisher; Mark D Hornstein; Jennifer A Jones; Sarah H Hauke; Nina Niamkey; Christina Briegleb; Endel John Orav
Journal:  J Subst Abuse Treat       Date:  2011-04-12

6.  Alcohol use severity and age moderate the effects of brief interventions in an emergency department randomized controlled trial.

Authors:  Anne C Fernandez; Rebecca Waller; Maureen A Walton; Erin E Bonar; Rosalinda V Ignacio; Stephen T Chermack; Rebecca M Cunningham; Brenda M Booth; Mark A Ilgen; Kristen L Barry; Frederic C Blow
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7.  Increased drinking in a trial of treatments for marijuana dependence: substance substitution?

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Review 8.  Guidelines for the Reporting of Treatment Trials for Alcohol Use Disorders.

Authors:  Katie Witkiewitz; John W Finney; Alex H S Harris; Daniel R Kivlahan; Henry R Kranzler
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9.  Meta-analysis of depression and substance use and impairment among cocaine users.

Authors:  Kenneth R Conner; Martin Pinquart; Amanda P Holbrook
Journal:  Drug Alcohol Depend       Date:  2008-06-27       Impact factor: 4.492

10.  Pre-intervention distress moderates the efficacy of psychosocial treatment for cancer patients: a meta-analysis.

Authors:  Stefan Schneider; Anne Moyer; Sarah Knapp-Oliver; Stephanie Sohl; Dolores Cannella; Valerie Targhetta
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