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Turn on, Tune in, and Drop out: Predictors of Attrition in a Prospective Observational Cohort Study on Psychedelic Use (Preprint)

Sebastian Hübner, Eline Haijen, Mendel Kaelen, Robin Lester Carhart-Harris, Hannes Kettner

DOI: 10.2196/preprints.25973

Summary

AI-generated from the abstract

Younger age, lower educational levels, lower conscientiousness, and higher extraversion predict dropout in web-based prospective studies of psychedelic use. Baseline attitudes toward psychedelics and the intensity of acute challenging experiences do not predict attrition. These demographic and personality predictors align with those found in longitudinal research in other fields, suggesting that concerns about bias from psychedelic advocacy or negative drug experiences may be less problematic than previously thought.

Study at a glance

Characteristics Observational cohort Longitudinal
Sample size 654
Population Web-based sample of psychedelic users
Duration 4-week follow-up
Keywords Psychedelic research Psychedelics studies Hallucinogen research Entheogen studies Psychedelic science
Citations 2
Key finding Age, education, conscientiousness, and extraversion predict study dropout, while attitudes toward psychedelics and acute challenging experiences do not.

Abstract

BACKGROUND The resurgence of research and public interest in the positive psychological effects of psychedelics, together with advancements in digital data collection techniques, have brought forth a new type of research design, which involves prospectively gathering large-scale naturalistic data from psychedelic users; that is, before and after the use of a psychedelic compound. A methodological limitation of such studies is their high attrition rate, particularly owing to participants who stop responding after initial study enrollment. Importantly, study dropout can introduce systematic biases that may affect the interpretability of results. OBJECTIVE Based on a previously collected sample (baseline n=654), here we investigated potential determinants of study attrition in web-based prospective studies on psychedelic use. METHODS Logistic regression models were used to examine demographic, psychological trait and state, and psychedelic-specific predictors of dropout. Predictors were assessed 1 week before, 1 day after, and 2 weeks after psychedelic use, with attrition being defined as noncompletion of the key endpoint 4 weeks post experience. RESULTS Predictors of attrition were found among demographic variables including age (β=0.024; P=.007) and educational levels, as well as personality traits, specifically conscientiousness (β=–0.079; P=.02) and extraversion (β=0.082; P=.01). Contrary to prior hypotheses, neither baseline attitudes toward psychedelics nor the intensity of acute challenging experiences were predictive of dropout. CONCLUSIONS The baseline predictors of attrition identified here are consistent with those reported in longitudinal studies in other scientific disciplines, suggesting their transdisciplinary relevance. Moreover, the lack of an association between attrition and psychedelic advocacy or negative drug experiences in our sample contextualizes concerns about problematic biases in these and related data.

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