Factors influencing recruitment to a randomised placebo-controlled trial of oral naltrexone and extended release implant naltrexone: Qualitative study.


Journal

Journal of substance abuse treatment
ISSN: 1873-6483
Titre abrégé: J Subst Abuse Treat
Pays: United States
ID NLM: 8500909

Informations de publication

Date de publication:
04 2019
Historique:
received: 15 10 2018
revised: 15 01 2019
accepted: 15 01 2019
entrez: 25 2 2019
pubmed: 25 2 2019
medline: 26 6 2020
Statut: ppublish

Résumé

To understand the influences on recruitment to the Naltrexone Enhanced Addiction Treatment (NEAT) study, a randomised placebo-controlled trial of extended-release naltrexone (XR-NTX) implants for opioid use disorder (OUD), to learn lessons for the design and conduct of similar future research. 29 face-to-face, semi-structured qualitative interviews were conducted with patients recruited to NEAT (n = 6), patients not recruited (n = 11), researchers who designed the trial (n = 5), and staff who delivered the trial (n = 7). The social marketing mix was used as a framework to guide the data analyses. Dimensions of the 7Ps of the social marketing mix - product, price, place, promotion, physical environment, people, and processes all influenced recruitment to the NEAT trial. Among other things, the potential to receive a naltrexone implant (product); the provision of transport passes and shopping vouchers (price); clear verbal explanations (promotion); familiarity of the trial setting (physical environment); and approachable, friendly and informative trial delivery staff (people) positively influenced recruitment. Whereas, wanting a less medical approach to recovery (product); the perceived time, physical, and psychological costs of taking part (price); service ideological opposition to naltrexone in recovery (place); inaccessible written information (promotion); the location and nature of the trial setting (physical environment); a lack of knowledge about implants (people); and the blind allocation and potential of placebo (processes) deterred people from joining the trial. Qualitative research informed by the social marketing mix as an analytical framework yielded detailed insights into understanding the factors and circumstances that influenced recruitment to the NEAT trial. Our findings have implications for the planning and implementation of future addiction trials, especially trials of extended-release formulations.

Identifiants

pubmed: 30797394
pii: S0740-5472(18)30502-6
doi: 10.1016/j.jsat.2019.01.012
pii:
doi:

Substances chimiques

Delayed-Action Preparations 0
Narcotic Antagonists 0
Naltrexone 5S6W795CQM

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

52-60

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Charlotte N E Tompkins (CNE)

King's College London, National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, 4 Windsor Walk, London SE5 8BB, United Kingdom. Electronic address: Charlotte.tompkins@kcl.ac.uk.

Joanne Neale (J)

King's College London, National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, 4 Windsor Walk, London SE5 8BB, United Kingdom; Centre for Social Research in Health, University of New South Wales, Sydney, Australia; South London & Maudsley (SLaM) NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London SE5 8BB, United Kingdom. Electronic address: Joanne.neale@kcl.ac.uk.

John Marsden (J)

King's College London, National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, 4 Windsor Walk, London SE5 8BB, United Kingdom. Electronic address: John.marsden@kcl.ac.uk.

John Strang (J)

King's College London, National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, 4 Windsor Walk, London SE5 8BB, United Kingdom; South London & Maudsley (SLaM) NHS Foundation Trust, Maudsley Hospital, Denmark Hill, London SE5 8BB, United Kingdom. Electronic address: John.strang@kcl.ac.uk.

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Classifications MeSH