Investigating for Whom Brief Substance Use Interventions Are Most Effective: An Individual Participant Data Meta-analysis.
Maria L Schweer-CollinsNicholas J ParrRichard SaitzEmily E Tanner-SmithPublished in: Prevention science : the official journal of the Society for Prevention Research (2023)
Prior research suggests that brief interventions (BIs) for alcohol and other drug use may vary in effectiveness across patient sociodemographic factors. The objective of this individual participant data (IPD) meta-analysis was to explore for whom BIs delivered in general healthcare settings are more or less effective. We examined variability in BI effects by patient age, sex, employment, education, relationship status, and baseline severity of substance use using a two-stage IPD meta-analysis approach. All trials included in a parent aggregate data meta-analysis (k = 116) were invited to contribute IPD, and 29 trials provided patient-level data (12,074 participants). Among females, BIs led to significant reductions in binge alcohol consumption ([Formula: see text] = 0.09, 95% CI [0.03, 0.14]), frequency of alcohol consumption ([Formula: see text] = 0.10, 95% CI [0.03, 0.17]), and alcohol-related consequences ([Formula: see text] = 0.16, 95% CI [0.08, 0.25]), as well as greater substance use treatment utilization ([Formula: see text] = 0.25, 95% CI [0.21, 0.30]). BIs yielded larger reductions in frequency of alcohol consumption at 3-month follow-up for individuals with less than a high school level education ([Formula: see text] = 0.16, 95% CI [0.09, 0.22]). Given evidence demonstrating modest BI effects on alcohol use and mixed or null findings for BI effects on other drug use, BI research should continue to investigate potential drivers of effect magnitude and variation. PROTOCOL REGISTRATION DETAILS: The protocol for this review was pre-registered in PROSPERO #CRD42018086832 and the analysis plan was pre-registered in OSF: osf.io/m48g6.
Keyphrases
- alcohol consumption
- systematic review
- healthcare
- meta analyses
- smoking cessation
- electronic health record
- randomized controlled trial
- human milk
- ionic liquid
- big data
- case report
- social media
- artificial intelligence
- quality improvement
- climate change
- risk assessment
- high school
- machine learning
- mental health
- replacement therapy
- deep learning
- affordable care act