Imperial College London
Alternate

Professor Robin Carhart-Harris

Faculty of Medicine, Department of Brain Sciences

Visiting Professor
 
 
 
//

Contact

 

+44 (0)20 7594 7992r.carhart-harris

 
 
//

Assistant

 

Miss Bruna Cunha +44 (0)20 7594 7992

 
//

Location

 

Burlington DanesHammersmith Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Hübner:2021:10.2196/25973,
author = {Hübner, S and Haijen, E and Kaelen, M and Carhart-Harris, R and Kettner, HS},
doi = {10.2196/25973},
journal = {Journal of Medical Internet Research},
title = {Turn on, tune in, and drop out: predictors of attrition in a prospective observational cohort study on psychedelic use},
url = {http://dx.doi.org/10.2196/25973},
volume = {23},
year = {2021}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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, gathering large-scale naturalistic data from psychedelic users prospectively, i.e. before and after use of a psychedelic compound. A methodological limitation of such studies is their high attrition rate, caused by participants who stop responding after initial study enrolment. Importantly, study dropout can introduce systematic biases that may affect the interpretability of results.  Objective. Based on a previously collected sample (N=654), we here investigated potential determinants of study attrition in prospective psychedelic online research. Methods. Logistic regression models were used to examine demographic, psychological trait and state, and psychedelic-specific predictors of dropout. Predictors were assessed 2 weeks before, one day after, and 2 weeks after the psychedelic experience, with attrition being defined as non-completion of the key endpoint 4 weeks post experience. Results. Predictors of attrition were found among demographic variables, including age and educational level, as well as personality traits, specifically low conscientiousness and high extraversion. Contrary to prior hypotheses, neither baseline attitudes towards psychedelics nor the intensity of acute challenging experiences were predictive of dropout. Conclusions. Baseline predictors of attrition identified here are consistent with those found in longitudinal studies from other scientific disciplines, suggesting their transdisciplinary relevance. Moreover, the lack of an association between attrition and psychedelic advocacy or negative drug experiences in the present sample contextualises concerns about problematic biases in these and related data.
AU  - Hübner,S
AU  - Haijen,E
AU  - Kaelen,M
AU  - Carhart-Harris,R
AU  - Kettner,HS
DO  - 10.2196/25973
PY  - 2021///
SN  - 1438-8871
TI  - Turn on, tune in, and drop out: predictors of attrition in a prospective observational cohort study on psychedelic use
T2  - Journal of Medical Internet Research
UR  - http://dx.doi.org/10.2196/25973
UR  - http://hdl.handle.net/10044/1/89624
VL  - 23
ER  -
Download