Imperial College London
Alternate

Professor Robin Carhart-Harris

Faculty of Medicine, Department of Brain Sciences

Visiting Professor
 
 
 
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Contact

 

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

 
 
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Assistant

 

Miss Bruna Cunha +44 (0)20 7594 7992

 
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Location

 

Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hübner:2020:10.2196/preprints.25973,
author = {Hübner, S and Haijen, E and Kaelen, M and Carhart-Harris, RL and Kettner, H},
doi = {10.2196/preprints.25973},
title = {Turn on, Tune in, and Drop out: Predictors of Attrition in a Prospective Observational Cohort Study on Psychedelic Use (Preprint)},
url = {http://dx.doi.org/10.2196/preprints.25973},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <sec>                    <title>BACKGROUND</title>                        <p>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.</p>                </sec>                                <sec>                    <title>OBJECTIVE</title>                        <p>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.</p>                </sec>                                <sec>                    <title>METHODS</title>                        <p>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.</p>                </sec>                                <sec>                    <title>RESULTS</title>                        <p>Predictors of attrition were found among demographic variables including age (β=0.024; <i>P</i>=.007) and educational levels, as well as personality traits, specifically conscientiousness (β=–0.079; <i>P&a
AU  - Hübner,S
AU  - Haijen,E
AU  - Kaelen,M
AU  - Carhart-Harris,RL
AU  - Kettner,H
DO  - 10.2196/preprints.25973
PY  - 2020///
TI  - Turn on, Tune in, and Drop out: Predictors of Attrition in a Prospective Observational Cohort Study on Psychedelic Use (Preprint)
UR  - http://dx.doi.org/10.2196/preprints.25973
ER  -
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