Evaluating the agreement between different substance use recall periods in multiple HIV cohorts.

Data harmonization HIV/AIDS MSM Recall period Substance use

Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
30 Nov 2023
Historique:
received: 27 04 2023
revised: 23 11 2023
accepted: 25 11 2023
medline: 8 12 2023
pubmed: 8 12 2023
entrez: 7 12 2023
Statut: aheadofprint

Résumé

This study aims to evaluate the agreement in substance use on both binary and ordinal scales between 3-month and 6-month recall periods with samples from different communities, demographic backgrounds, and HIV status. We administered the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) to 799 participants from three different North American cohorts focused on substance use and HIV. We conducted a within-person agreement analysis by calculating the agreement levels and Kappa statistic between data collected using the 3-month recall ASSIST and 6-month custom substance use surveys as well as different terminology for each substance in multiple cohorts. For all drugs studied, the agreement on the binary use or ordinal frequency of use metrics showed a high agreement level between 80.4% and 97.9% and an adequate adjusted kappa value between 0.61 and 0.96, suggesting substantial agreement. According to the agreement criteria we proposed, substance use data collected using different recall periods and with variation in drug names can be harmonized across cohorts. This study is the first to evaluate the feasibility of data harmonization of substance use by demonstrating high level of agreement between different recall periods in different cohorts. The results can inform data harmonization efforts in consortia where data are collected from cohorts using different questions and recall periods.

Sections du résumé

BACKGROUND BACKGROUND
This study aims to evaluate the agreement in substance use on both binary and ordinal scales between 3-month and 6-month recall periods with samples from different communities, demographic backgrounds, and HIV status.
METHODS METHODS
We administered the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) to 799 participants from three different North American cohorts focused on substance use and HIV. We conducted a within-person agreement analysis by calculating the agreement levels and Kappa statistic between data collected using the 3-month recall ASSIST and 6-month custom substance use surveys as well as different terminology for each substance in multiple cohorts.
RESULTS RESULTS
For all drugs studied, the agreement on the binary use or ordinal frequency of use metrics showed a high agreement level between 80.4% and 97.9% and an adequate adjusted kappa value between 0.61 and 0.96, suggesting substantial agreement. According to the agreement criteria we proposed, substance use data collected using different recall periods and with variation in drug names can be harmonized across cohorts.
CONCLUSIONS CONCLUSIONS
This study is the first to evaluate the feasibility of data harmonization of substance use by demonstrating high level of agreement between different recall periods in different cohorts. The results can inform data harmonization efforts in consortia where data are collected from cohorts using different questions and recall periods.

Identifiants

DOI: 10.1016/j.drugalcdep.2023.111043 PMID: 38061201
pubmed: 38061201
pii: S0376-8716(23)01281-4
doi: 10.1016/j.drugalcdep.2023.111043
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111043

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest No conflict declared.

Auteurs

Xiaodan Tang (X)

Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Electronic address: xiaodan.tang@northwestern.edu.

Benjamin D Schalet (BD)

Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Amsterdam, the Netherlands.

Patrick Janulis (P)

Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago IL, USA.

Jeanne C Keruly (JC)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Richard D Moore (RD)

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

M-J Milloy (MJ)

Department of Medicine, University of British Columbia, Vancouver, Canada; British Columbia Centre on Substance Use, Vancouver, Canada.

Kora DeBeck (K)

British Columbia Centre on Substance Use, Vancouver, Canada; School of Public Policy, Simon Fraser University, Vancouver Canada.

Kanna Hayashi (K)

British Columbia Centre on Substance Use, Vancouver, Canada; Faculty of Health Sciences, Simon Fraser University, Vancouver Canada.

Marjan Javanbakht (M)

Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.

Soyeon Kim (S)

Frontier Science Foundation, Boston, MA, USA.

Sue Siminski (S)

Frontier Science Foundation, Amherst, NY, USA.

Steven Shoptaw (S)

Department of Family Medicine, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.

Pamina M Gorbach (PM)

Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.

Classifications MeSH