Evidence map›Paper›PMID 34049103›Full record

ArticleDrug and alcohol dependence2021

When national drug surveys "take too long": An examination of who is at risk for survey fatigue.

Austin Le, Benjamin H Han, Joseph J Palamar

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.7field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Austin LeNew York University Grossman School of Medicine, Department of Population Health, 180 Madison Avenue, New York, NY 10016, United States; New York University College of Dentistry, 345 East 24th Street, New York, NY 10010, United States.
Benjamin H HanUniversity of California San Diego Department of Medicine, Division of Geriatrics and Gerontology, 9500 Gilman Drive, San Diego, CA 92093, United States.
Joseph J PalamarNew York University Grossman School of Medicine, Department of Population Health, 180 Madison Avenue, New York, NY 10016, United States. Electronic address: joseph.palamar@nyulangone.org.
New York University · USUniversity of California San Diego · US

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
Chronic Disease and Health Outcomes of Older Adults with Opioid Use DisordersK23DA043651 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAN, BENJAMIN HYUN · 2018 to 2023
$1.2M
NIDA NIH HHS K23 DA043651NIDA NIH HHS R01 DA044207
6 · The paper itself

Abstract

backgroundNational surveys are a leading method for estimating prevalence of substance use and other health-related behaviors. However, when a participant perceives a survey as too time-consuming, there is a higher probability of lower quality responses.

methodsWe examined data from the 2018 to 2019 National Survey on Drug Use and Health, a nationally representative sample of non-institutionalized individuals ages ≥12 in the U.S. (N = 112,184). Participants were asked about 13 drug classes on this hour-long survey, and those reporting use of a drug were asked follow-up questions. We estimated prevalence and correlates of participants stating that the survey took too long to complete.

resultsAn estimated 9.4 % (95 % CI: 8.9-9.8) felt the survey took too long. The more drugs used in the past year, the higher the odds of reporting that the survey took too long. Those reporting use of 8-13 drug classes in particular were at higher odds (aOR = 2.91, 95 % CI: 1.44-5.87). More missing responses was associated with higher odds-particularly when ≥5 drug-related questions were skipped (aOR = 3.26, 95 % CI: 2.26-4.71). Participants who did not speak any English (aOR = 1.74, 95 % CI: 1.31-2.32), have difficulty concentrating (aOR = 1.38, 95 % CI: 1.23-1.54), and/or had trouble understanding the interview (aOR = 3.99, 95 % CI: 3.51-4.53) were at higher odds, as were those who were older and non-white. Higher education and family income was associated with lower odds.

conclusionWe identified subgroups of individuals most likely to experience fatigue on a national drug survey. Researchers should recognize that long surveys with extensive follow-up questions may lead to respondent fatigue.

Indexed as

Pharmaceutical PreparationsSubstance-Related DisordersFatigueHumansPrevalenceSurveys and QuestionnairesPharmaceutical PreparationsNational surveysRespondent fatigueSurvey methods

Identifiers

PMID34049103
PMCPMC8282613
OpenAlexW3165708431

What OpenQuestion holds

Textmetadata
LicenceTDM
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.