Evidence map›Paper›PMID 33162873›Full record

ArticleAddiction research & theory2020

Underreporting of drug use on a survey of electronic dance music party attendees.

Joseph J Palamar, Austin Le

Abstract read
In one paragraph

Article in Addiction research & theory, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Risky Party and Nightclub Attendance during the COVID-19 Nightlife Shutdown in New York City.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  2. Article
  3. Article
  4. Review
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

2 authors.

Joseph J PalamarDepartment of Population Health, New York University School of Medicine, New York, NY, USA.ORCID 0000-0002-8565-9415
Austin LeDepartment of Population Health, New York University School of Medicine, New York, NY, USA.

Funding

Drug use among nightclub and dance festival attendees in New York CityR01DA044207 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2018 to 2021
$1.5M
Development of a Rapid Survey to Detect Use of New and Emerging DrugsK01DA038800 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2015 to 2019
$879k
NIDA NIH HHS K01 DA038800NIDA NIH HHS R01 DA044207
6 · The paper itself

Abstract

objectivesSkip-logic is commonly used on electronic surveys in which programs provide follow-up questions to affirmative responses and skip to the next topic in response to non-affirmative responses. While skip-logic helps produce data without contradictory responses, erroneous non-affirmative reports can lead to loss of accurate information. We examined the extent to which type-in drug use responses contradict unreported use in a survey of a high-risk population-electronic dance music (EDM) party attendees.

designWe surveyed 1029 EDM party-attending adults (ages 18-40) using time-spacing sampling in 2018. We examined the extent to which reporting of recent drug use via type-in responses occurred after past-year use of the same drugs were unreported earlier on the same survey. Changes in prevalence of use and predictors of providing discordant responses were examined.

results3.6% of participants typed in names of drugs they had used that they did not report using earlier on the survey. Changes in prevalence were not significant when correcting contradictory responses, but prevalence of past-year cocaine use increased from 23.3% to 24.3%. Those with a college degree were at lower odds for providing a discordant response (aOR = 0.13,

conclusionsElectronic surveys that query drug use can benefit from follow-up (e.g. open-ended) questions not dependent on previous responses, as they may elicit affirmative responses underreported earlier in the survey.

Indexed as

data collectiondrug useEpidemiologysurvey methodstargeted population surveys

Identifiers

PMID33162873
PMCPMC7643632

What OpenQuestion holds

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Read underepoch 390

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.