Evaluating cannabis exposure in survey items: Insights, strategies, and remaining challenges identified from cognitive interviewing.

Cannabis Cognitive interviewing Marijuana Measurement assessment Qualitative Survey development THC

Journal

Drug and alcohol dependence reports
ISSN: 2772-7246
Titre abrégé: Drug Alcohol Depend Rep
Pays: Netherlands
ID NLM: 9918350383506676

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 06 12 2022
revised: 16 03 2023
accepted: 15 04 2023
medline: 14 5 2023
pubmed: 14 5 2023
entrez: 14 5 2023
Statut: epublish

Résumé

The diversity in characteristics of cannabis products and behavior patterns make evaluation of cannabis exposure in population-based, self-report surveys challenging. Accurate identification of cannabis exposure and related outcomes necessitates a thorough understanding of participants' interpretations of survey questions assessing cannabis consumption behaviors. The current study utilized cognitive interviewing to gain insight on participants' interpretation of items in a self-reported survey instrument used to estimate the quantity of THC consumed in population samples. Cognitive interviewing was used to evaluate survey items assessing cannabis use frequency, routes of administration, quantity, potency, and perceived "typical patterns" of use. Ten participants ≥18 years ( While most items presented no issues with comprehension, participants identified several areas of ambiguity in question or response item wording or in visual cues included in the survey. Generally, participants with irregular use patterns (i.e., non-daily use) reported more difficulty recalling the time or quantity of cannabis use. Findings resulted in several changes to the updated survey, including updated reference images and new quantity/frequency of use items specific to the route of administration. Incorporating cognitive interviewing into cannabis measurement development among a sample of knowledgeable cannabis consumers led to improvements in assessing cannabis exposure in population surveys, which may otherwise have been missed.

Sections du résumé

Background UNASSIGNED
The diversity in characteristics of cannabis products and behavior patterns make evaluation of cannabis exposure in population-based, self-report surveys challenging. Accurate identification of cannabis exposure and related outcomes necessitates a thorough understanding of participants' interpretations of survey questions assessing cannabis consumption behaviors.
Objectives UNASSIGNED
The current study utilized cognitive interviewing to gain insight on participants' interpretation of items in a self-reported survey instrument used to estimate the quantity of THC consumed in population samples.
Methods UNASSIGNED
Cognitive interviewing was used to evaluate survey items assessing cannabis use frequency, routes of administration, quantity, potency, and perceived "typical patterns" of use. Ten participants ≥18 years (
Results UNASSIGNED
While most items presented no issues with comprehension, participants identified several areas of ambiguity in question or response item wording or in visual cues included in the survey. Generally, participants with irregular use patterns (i.e., non-daily use) reported more difficulty recalling the time or quantity of cannabis use. Findings resulted in several changes to the updated survey, including updated reference images and new quantity/frequency of use items specific to the route of administration.
Conclusion UNASSIGNED
Incorporating cognitive interviewing into cannabis measurement development among a sample of knowledgeable cannabis consumers led to improvements in assessing cannabis exposure in population surveys, which may otherwise have been missed.

Identifiants

pubmed: 37179574
doi: 10.1016/j.dadr.2023.100161
pii: S2772-7246(23)00031-8
pmc: PMC10173391
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100161

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA050032
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA037202
Pays : United States

Informations de copyright

© 2023 Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Alan Budney has served as a scientific consultant for Canopy Growth, Inc. and Jazz Pharmaceuticals.

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Auteurs

Claire A Walsh (CA)

New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.

Cara A Struble (CA)

Center for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH 03756, USA.

Efrat Aharonovich (E)

New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.
Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA.

Dvora Shmulewitz (D)

New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.
Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA.

Jacob Borodovsky (J)

Center for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH 03756, USA.

Mohammad I Habib (MI)

Center for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH 03756, USA.

Alan Budney (A)

Center for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH 03756, USA.

Ofir Livne (O)

New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.
Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA.

Deborah S Hasin (DS)

New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.
Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA.
Department of Epidemiology, Columbia University Mailman School of Public Health, 722W 168th St, New York, NY 10032, USA.

Classifications MeSH