Evidence map›Paper›PMID 38670531›Full record

ArticleJournal of substance use and addiction treatment2024

Evaluating preferences for medication formulation and treatment model among people who use opioids non-medically: A web-based cross-sectional study.

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

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

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.
Kathleen BellCenter for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA. Electronic address: kathleen.bell@dartmouth.edu.
Deepak JohnNew York Medical College, USA.
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.

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

introductionOver the past decade, treatment for opioid use disorder has expanded to include long-acting injectable and implantable formulations of medication for opioid use disorder (MOUD), and integrated treatment models systematically addressing both behavioral and physical health. Patient preference for these treatment options has been underexplored. Gathering data on OUD treatment preferences is critical to guide the development of patient-centered treatment for OUD. This cross-sectional study assessed preferences for long-acting MOUD and integrated treatment using an online survey.

methodsAn online Qualtrics survey assessed preferences for MOUD formulation and integrated treatment models. The study recruited participants (n = 851) in October and November 2019 through advertisements or posts on Facebook, Google AdWords, Reddit, and Amazon Mechanical Turk (mTurk). Eligible participants scored a two or higher on the opioid pain reliever or heroin scales of the Tobacco, Alcohol Prescription Medication and other Substance Use (TAPS) Tool. Structured survey items obtained patient preference for MOUD formulation and treatment model. Using stated preference methods, the study assessed preference via comparison of preferred options for MOUD and treatment model.

resultsIn the past year, 824 (96.8 %) participants reported non-prescribed use of opioid pain relievers (mean TAPS score = 2.72, SD = 0.46) and 552 (64.9 %) reported heroin or fentanyl use (mean TAPS score = 2.73, SD = 0.51). Seventy-four percent of participants (n = 631) reported currently or previously receiving OUD treatment, with 407 (48.4 %) receiving MOUD. When asked about preferences for type of MOUD formulation, 452 (53.1 %) preferred a daily oral formulation, 115 (13.5 %) preferred an implant, 114 (13.4 %) preferred a monthly injection and 95 (11.2 %) preferred a weekly injection. Approximately 8.8 % (n = 75) would not consider MOUD regardless of formulation. The majority of participants (65.2 %, n = 555) preferred receiving treatment in a specialized substance use treatment program distinct from their medical care, compared with receiving care in an integrated model (n = 296, 34.8 %).

conclusionsThough most participants expressed willingness to try long-acting MOUD formulations, the majority preferred short-acting formulations. Likewise, the majority preferred non-integrated treatment in specialty substance use settings. Reasons for these preferences provide insight on developing effective educational tools for patients and suggesting targets for intervention to develop a more acceptable treatment system.

Indexed as

Analgesics, OpioidOpioid-Related DisordersPatient PreferenceAdultCross-Sectional StudiesDelayed-Action PreparationsFemaleHumansInternetMaleMiddle AgedSurveys and QuestionnairesYoung AdultAnalgesics, OpioidDelayed-Action PreparationsIntegrated treatmentMedication for opioid use disorderPatient preferenceTreatment modelsWeb-based recruitment

Identifiers

PMID38670531
PMCPMC11180569

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.