Cognitive bias modification in alcohol use disorder and problematic drinking: A revised and updated IPD Bayesian...

Area of Science:

• Psychology
• Neuroscience
• Addiction Medicine

Background:

• Problematic drinking and Alcohol Use Disorder (AUD) are significant public health concerns.
• Cognitive Bias Modification (CBM) interventions aim to alter cognitive processes contributing to addiction.
• Previous meta-analyses highlight the need for updated research incorporating recent advancements and individual participant data (IPD).

Purpose of the Study:

• To conduct an updated Individual Participant Data (IPD) Bayesian meta-analysis on Cognitive Bias Modification (CBM) for problematic drinking.
• To examine the effects of alcohol CBM on cognitive bias, alcohol consumption, and relapse rates.
• To investigate moderators influencing CBM efficacy.

Main Methods:

• A two-stage IPD Bayesian meta-analysis was employed, integrating data from 23 studies (8297 participants).
• Frequentist sensitivity analyses were conducted to validate findings.
• Moderators such as CBM type, delivery context, adherence, addiction severity, and additional therapies were analyzed.

Main Results:

• CBM demonstrated a small effect on reducing cognitive bias (d = -0.18) and a significant effect on reducing relapse risk (log OR = -0.26).
• No significant effect was observed on alcohol consumption (d = 0.003).
• Effectiveness was moderated by factors including face-to-face delivery, additional psychological therapy, and higher training intensity, with initial effects diminishing after moderator adjustment.

Conclusions:

• CBM can effectively reduce alcohol-related cognitive biases and relapse risk.
• The efficacy of CBM is context-dependent, with face-to-face delivery, concurrent therapy, and higher training intensity showing greater promise.
• Refined, context-specific CBM protocols are recommended for optimizing interventions for problematic drinking.