Cited by 19Substance Abuse Treatment and OutcomesSmoking Behavior and CessationBehavioral Health and Interventions

Motivational interviewing and the incredible shrinking treatment effect

Open access
MILLER, WILLIAM R.·2005·Addiction

Abstract

McCambridge & Strang (2005) report that the effects of their brief intervention had disappeared by 12-month follow-up, and speculate that ‘deterioration of effect is the most likely explanation’. Before reflecting on reasons, I would first question whether their effects had actually ‘disappeared’. Their design compared a 1-hour motivational interview (MI) with an assessment-only control. Abstinence rates at 12 months in the MI group were double those of the control group for all three drugs: tobacco (20% versus 10%), alcohol (9% versus 2%) and marijuana (17% versus 8%). The authors estimate the odds ratio for cessation of any drug as 2.55, with a confidence interval of 1.23–5.25. Most practitioners would regard a doubling of quit rate as clinically meaningful, particularly after such a brief intervention. An odds ratio for which the confidence interval does not overlap 1.0 is also usually regarded as significant. Furthermore, among pretreatment smokers, cigarette consumption remained significantly lower at 12 months relative to baseline in the MI group, but not in the control group. From my perspective, these are surprising 12-month residual effects of one counseling session. Nevertheless, the between-group effects of brief MI do diminish over time. In a new meta-analysis of 72 clinical trials (Hettema, Steele & Miller, in press) we found that the mean effect size of MI averaged across all reported outcome variables was d = 0.77 up to 1 month later, 0.39 for 1–3 months, 0.31 at 3–6 months, 0.30 in months 6–12 and 0.11 at follow-ups longer than 12 months. The McCambridge & Strang findings are consistent with this trend. Why, then, does the effect of MI diminish over time? Seldom is it explained by a return of the MI group to baseline values. In most studies, within-group mean behavior change observed after MI is largely maintained across a year of follow-up, and does not resemble the reversal that might occur with, for instance, discontinuation of an antihypertensive medication. What happens more often is that the comparison group catches up with the intervention group over time. Combined with high variability, this tends to result in a gradual diminution of between-group effects across follow-up points. This is not unique to MI, of course, but is a common finding with other target problems, treatments and populations. In behavioral trials, control groups tend to get better over time. What continues to surprise me is that there is any 12-month effect of such a brief intervention. To me, it is the presence, not absence of enduring effects that begs for explanation. If the principal effect of a brief intervention is to produce a marked reduction in drinking 6 or 12 months earlier than might otherwise occur, that is still a good outcome. The adverse effects of alcohol and other drugs, particularly in young people, are frequently the consequence of acute events during and after use. Reducing risk sooner rather than later seems a worthy goal, albeit subject to cost–benefit analysis.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1360-0443.2005.01035.x

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Effectiveness studies of psychological interventions typically show some decreases in intervention potency when treatments move from research to community settings.

    “In line with this, effectiveness studies of psychological interventions do typically show some decreases in intervention potency when a treatment is translated from research settings into the community (Curtis et al. 2004; Henggeler 2004; Miller 2005).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
MILLER, W. R.
Affiliations
University of New Mexico (US)
Corresponding author
MILLER, WILLIAM R.
Venue
Addiction
Publisher
Wiley
Published
2005-03-22
Volume
100
Issue
4
Pages
421-421
ISSN
  • 0965-2140 (ISSN-L)
  • 1360-0443
OpenAlex
W1782250572
Cited by
19
References
2
Citations by year
2021: 1 · 2019: 1 · 2015: 2 · 2014: 2 · 2013: 3
Type
journal article
Language
en
Open access
Locations
  • Addiction (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords
motivational interviewing, residual effects, abstinence rates, smoking cessation, alcohol cessation, brief intervention, tobacco use, alcohol consumption, cannabis use, treatment effect heterogeneity, treatment effect generalizability
MeSH terms
Adolescent, Humans, Interview, Psychological, Motivation, Psychotherapy, Brief, Substance-Related Disorders

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review