Evidence map›Paper›PMID 34499972›Full record

ArticlePreventive medicine2021

Comparing the feasibility of four web-based recruitment strategies to evaluate the treatment preferences of rural and urban adults who misuse non-prescribed opioids.

Elizabeth C Saunders, Alan J Budney, Patricia Cavazos-Rehg, Emily Scherer, Lisa A Marsch

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Investigating Substance Use via Reddit: Systematic Scoping Review.Journal of medical Internet research · 2023
    Article
  4. Article
  5. Article
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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

5 authors at 2 institutions in 1 country.

Elizabeth C SaundersCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. Electronic address: elizabeth.c.saunders@dartmouth.edu.
Alan J BudneyCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. Electronic address: alan.j.budney@dartmouth.edu.
Patricia Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: pcavazos@wustl.edu.
Emily SchererCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. Electronic address: escherer@corevitas.com.
Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. Electronic address: lisa.a.marsch@dartmouth.edu.
Dartmouth College · USWashington University in St. Louis · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
NIDA NIH HHS P30 DA029926NIDA NIH HHS T32 DA037202
6 · The paper itself

Abstract

This cross-sectional study examined the feasibility of using four different web-based strategies to recruit rural and urban adults who use opioids non-medically for a survey on opioid use disorder (OUD) treatment preferences, and compared the treatment preferences of rural versus urban participants. Preferences for medication for opioid use disorder (MOUD) formulation and OUD treatment models were assessed through an online survey. Recruitment advertisements were shown on Facebook, Google AdWords, Reddit, and Amazon Mechanical Turk (MTurk). Participants were categorized by zip code into urban versus rural residence using the Centers for Medicaid and Medicaid Health Resources and Services Administration definitions. OUD treatment preferences were compared using chi-square and t-tests. Among the 851 participants recruited, 815 provided zip codes and were classified as residing in rural (n = 200, 24.5%) or urban (n = 615, 75.4%) regions. A crowdsourcing service (MTurk) recruited the most rural participants, while posts on a social news website (Reddit) recruited the most urban participants (χ

Indexed as

Analgesics, OpioidOpioid-Related DisordersAdultCross-Sectional StudiesFeasibility StudiesHumansInternetUnited StatesAnalgesics, OpioidMedication for opioid use disorder (MOUD)Opioid use disorderPatient preferenceRecruitmentRuralityWeb-based survey

Identifiers

PMID34499972
PMCPMC8545866
OpenAlexW3196527221

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.