Literature DB >> 34499972

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 Saunders1, Alan J Budney2, Patricia Cavazos-Rehg3, Emily Scherer4, Lisa A Marsch5.   

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 (χ23 = 17.0, p < 0.01). While preferred MOUD formulation and OUD treatment model did not differ by rurality, rural participants were more likely to report a willingness to receive OUD treatment integrated with general medical care (χ21 = 18.9, p < 0.0001). This study demonstrated that web-based strategies are feasible for recruiting rural adults who misuse opioids. Results suggest OUD treatment preferences largely did not differ by rural residence, and highlight the importance of enhancing the availability and increasing education about MOUD formulations in rural regions.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Medication for opioid use disorder (MOUD); Opioid use disorder; Patient preference; Recruitment; Rurality; Web-based survey

Mesh:

Substances:

Year:  2021        PMID: 34499972      PMCID: PMC8545866          DOI: 10.1016/j.ypmed.2021.106783

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  64 in total

1.  Perceptions and preferences for long-acting injectable and implantable medications in comparison to short-acting medications for opioid use disorders.

Authors:  Elizabeth C Saunders; Sarah K Moore; Olivia Walsh; Stephen A Metcalf; Alan J Budney; Emily Scherer; Lisa A Marsch
Journal:  J Subst Abuse Treat       Date:  2020-01-21

2.  Understanding patients' preferences for HIV treatment among rural and urban Colombian patients.

Authors:  Mickael Hiligsmann; Kei Long Cheung
Journal:  J Med Econ       Date:  2020-07-14       Impact factor: 2.448

3.  Good intentions are not enough: how informatics interventions can worsen inequality.

Authors:  Tiffany C Veinot; Hannah Mitchell; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

Review 4.  A scoping review of opioid misuse in the rural United States.

Authors:  Laura C Palombi; Catherine A St Hill; Martin S Lipsky; Michael T Swanoski; M Nawal Lutfiyya
Journal:  Ann Epidemiol       Date:  2018-06-02       Impact factor: 3.797

5.  Novel Recruitment Methods for Research Among Young Adults in Rural Areas Who Use Opioids: Cookouts, Coupons, and Community-Based Staff.

Authors:  April M Young; April M Ballard; Hannah L F Cooper
Journal:  Public Health Rep       Date:  2020-09-15       Impact factor: 2.792

Review 6.  The use of crowdsourcing in addiction science research: Amazon Mechanical Turk.

Authors:  Justin C Strickland; William W Stoops
Journal:  Exp Clin Psychopharmacol       Date:  2018-11-29       Impact factor: 3.157

7.  Accuracy of geographically targeted internet advertisements on Google AdWords for recruitment in a randomized trial.

Authors:  Ray B Jones; Lesley Goldsmith; Christopher J Williams; Maged N Kamel Boulos
Journal:  J Med Internet Res       Date:  2012-06-20       Impact factor: 5.428

Review 8.  Current status of opioid addiction treatment and related preclinical research.

Authors:  M J Kreek; B Reed; E R Butelman
Journal:  Sci Adv       Date:  2019-10-02       Impact factor: 14.136

9.  Internet-based recruitment to a depression prevention intervention: lessons from the Mood Memos study.

Authors:  Amy Joanna Morgan; Anthony Francis Jorm; Andrew James Mackinnon
Journal:  J Med Internet Res       Date:  2013-02-12       Impact factor: 5.428

Review 10.  Patient Preferences and Shared Decision Making in the Treatment of Substance Use Disorders: A Systematic Review of the Literature.

Authors:  Anke Friedrichs; Maren Spies; Martin Härter; Angela Buchholz
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

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  1 in total

1.  Behavior change, health, and health disparities 2021: Rural addiction and health.

Authors:  Stephen T Higgins
Journal:  Prev Med       Date:  2021-10-07       Impact factor: 4.637

  1 in total

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