Evidence map›Paper›PMID 37796626›Full record

ArticleJournal of studies on alcohol and drugs2024

Self-Reported Substance Use With Clinician Interviewers Versus Self-Administered Surveys.

Lauren Gorfinkel, Malki Stohl, Dvora Shmulewitz, Deborah Hasin

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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.

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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.

Lauren GorfinkelDepartment of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Malki StohlNew York State Psychiatric Institute, New York, New York.
Dvora ShmulewitzNew York State Psychiatric Institute, New York, New York.
Deborah HasinNew York State Psychiatric Institute, New York, New York.

Funding

Phenotypes for Drug Abuse:Epidemiologic-Genetic ApproachR01DA018652 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2004 to 2018
$5.3M
NIDA NIH HHS R01 DA018652
6 · The paper itself

Abstract

objectiveUnderreporting of substance use is a frequent concern about studies based on self-report, but few robust studies have examined the agreement between different methods for capturing self-reported substance use. The current study therefore used repeated measures to compare self-reported substance use using (a) clinician interviewers and (b) self-administered computerized surveys in a sample that included both inpatients and community residents.

methodAdults age 18 years and older with problematic substance use were recruited from the community or an inpatient addiction treatment facility. At baseline (

resultsThere was moderate-to-strong agreement between clinician-administered and self-administered surveys for alcohol (kappa = .70-.88), cannabis (kappa = .87-.92), cocaine (kappa = .81-.89), and heroin (kappa = .90-.92). However, there was only weak-to-moderate agreement for nonmedical use of prescription painkillers (kappa = .55-.71), with the self-administered questionnaire capturing a higher prevalence of use (percent difference = 2.4%).

conclusionsClinician interviewers and self-administered surveys were shown to capture similar rates of self-reported use of alcohol, cannabis, cocaine, and heroin. Surveys assessing nonmedical prescription opioid use may benefit from using self-administered questionnaires.

Indexed as

CannabisCocaineOpioid-Related DisordersSubstance-Related DisordersAdolescentAdultHeroinHumansSelf ReportSurveys and QuestionnairesCocaineHeroin

Identifiers

PMID37796626
PMCPMC10846601

What OpenQuestion holds

Textmetadata
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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.