Literature DB >> 34313194

Reliability of a Rapid Screener for an Intercept Survey about Drug Use.

Joseph J Palamar1,2, Patricia Acosta1, Charles M Cleland1,2, Scott Sherman1,2.   

Abstract

Intercept surveys are a relatively inexpensive method to rapidly collect data on drug use. However, querying use of dozens of drugs can be time-consuming. We determined whether using a rapid screener is efficacious in detecting which participants use drugs and should be offered a full survey which asks more extensively about use. We surveyed 103 adults (age 18-29) on streets of Manhattan, NY in 2019 to test the reliability of a screener which queried past-year use of six drugs. Those reporting any drug use on the screener (and a third of those not reporting drug use) were offered the full survey which queried use of 97 drugs. We compared self-reported use on the screener to the full survey. Self-reported use of ecstasy, cocaine, and LSD had high test-retest reliability (Kappa = 0.90-1.00), and the screener had high sensitivity (1.00) and specificity (0.97-1.00) in detecting use of these drugs. Reliability for marijuana (Kappa = 0.62) and nonmedical opioid use (Kappa = 0.75) was lower. The screener had higher sensitivity (0.94) and lower specificity (0.64) in detecting marijuana use, and lower sensitivity (0.71) and higher specificity (0.98) in detecting nonmedical opioid use. Within the full survey, all participants reporting use of amphetamine (nonmedical use), shrooms, poppers, synthetic cannabinoids, synthetic cathinones, novel psychedelics, ketamine, or GHB reported use of at least one drug queried on the screener. Self-reported use of common drugs on a screener can reliably be used as an inclusion criterion for more extensive intercept surveys about drug use behavior.

Entities:  

Keywords:  intercept surveys; marijuana; screening; validation

Mesh:

Substances:

Year:  2021        PMID: 34313194      PMCID: PMC8478894          DOI: 10.1080/10826084.2021.1954029

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN: 1082-6084            Impact factor:   2.362


  22 in total

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Journal:  Am J Epidemiol       Date:  2003-04-01       Impact factor: 4.897

2.  Associations between mass incarceration and community health in New York City.

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Journal:  Public Health       Date:  2018-06-05       Impact factor: 2.427

3.  Barriers to accurately assessing prescription opioid misuse on surveys.

Authors:  Joseph J Palamar
Journal:  Am J Drug Alcohol Abuse       Date:  2018-09-19       Impact factor: 3.829

4.  Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States.

Authors:  Sean Esteban McCabe; Brady T West
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-09-16       Impact factor: 4.328

5.  Non-response bias in a community survey of drinking, alcohol-related experiences and public opinion on alcohol policy.

Authors:  Brett Maclennan; Kypros Kypri; John Langley; Robin Room
Journal:  Drug Alcohol Depend       Date:  2012-06-05       Impact factor: 4.492

6.  Concurrent use of methamphetamine, MDMA, LSD, ketamine, GHB, and flunitrazepam among American youths.

Authors:  Li-Tzy Wu; William E Schlenger; Deborah M Galvin
Journal:  Drug Alcohol Depend       Date:  2006-02-17       Impact factor: 4.492

7.  Consistency of self-reported drug use among electronic dance music party attendees.

Authors:  Joseph J Palamar; Austin Le; Patricia Acosta; Charles M Cleland
Journal:  Drug Alcohol Rev       Date:  2019-09-15

8.  The effect of low survey response rates on estimates of alcohol consumption in a general population survey.

Authors:  Jessica Meiklejohn; Jennie Connor; Kypros Kypri
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

9.  Underreporting of drug use among electronic dance music party attendees.

Authors:  Joseph J Palamar; Alberto Salomone; Katherine M Keyes
Journal:  Clin Toxicol (Phila)       Date:  2020-07-09       Impact factor: 4.467

10.  Non-response bias and hazardous alcohol use in relation to previous alcohol-related hospitalization: comparing survey responses with population data.

Authors:  Kozma Ahacic; Ingemar Kåreholt; Asgeir R Helgason; Peter Allebeck
Journal:  Subst Abuse Treat Prev Policy       Date:  2013-03-04
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