Evidence map›Paper›PMID 29569403›Full record

Trial reportThe American journal on addictions2018

Generalizability of the findings from a randomized controlled trial of a web-based substance use disorder intervention.

Ryoko Susukida, Rosa M Crum, Elizabeth A Stuart, Ramin Mojtabai

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal on addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Two-stage matching-adjusted indirect comparison.BMC medical research methodology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ryoko SusukidaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, Maryland 21205.ORCID 0000-0003-0444-5368
Rosa M CrumDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, Maryland 21205.
Elizabeth A StuartDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, Maryland 21205.
Ramin MojtabaiDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, Maryland 21205.

Funding

Generalizing RCT Efficacy Evidence: Application to NIDA Clinical Trials NetworkR01DA036520 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOJTABAI, RAMIN · 2014 to 2016
$723k
NIDA NIH HHS R01 DA036520
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThere is growing concern regarding the generalizability of findings from randomized controlled trials (RCTs) of interventions for substance use disorders (SUDs). This study used a selection model approach to assess and improve the generalizability of an evaluation for a web-based SUD intervention by making the trial sample resemble the target population.

methodsThe sample of the web-based SUD intervention (Therapeutic Education System vs. Treatment-as-usual; n = 507) was compared with the target population of SUD treatment-seeking individuals from the Treatment Episodes Data Set-Admissions (TEDS-A). Using weights based on the probabilities of RCT participation, we computed weighted treatment effects on retention and abstinence.

resultsSubstantial differences between the RCT sample and the target population was demonstrated in significant difference in the mean propensity scores (1.62 standard deviations at p < .001). The population effect on abstinence (12 weeks and 6 months) was statistically insignificant after weighting the data with the generalizability weight. DISCUSSIONS AND

conclusionsGeneralizability of the findings from the RCT could be limited when the RCT sample does not well represent the target population. SCIENTIFIC SIGNIFICANCE: Application of generalizability weights can be a potentially useful tool to improve generalizability of RCT findings. (Am J Addict 2018;27:231-237).

Indexed as

Help-Seeking BehaviorSubstance-Related DisordersAdultBiasComputer Communication NetworksData CollectionEducation, DistanceFemaleGeneralization, PsychologicalHumansMaleMiddle AgedPatient Education as TopicPatient SelectionTreatment Outcome

Identifiers

PMID29569403
PMCPMC6548718

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.