Chemsex Drugs on the Rise

A Longitudinal Analysis of the Swiss HIV Cohort Study From 2007 to 2017

B Hampel; K Kusejko; RD Kouyos; J Böni; M Flepp; M Stöckle; A Conen; C Béguelin; P Künzler-Heule; D Nicca; AJ Schmidt; H Nguyen; J Delaloye; M Rougemont; E Bernasconi; A Rauch; HF Günthard; DL Braun; J Fehr

Disclosures

HIV Medicine. 2020;21(4):228-239. 

In This Article

Appendix 1

Assignment of Free Text Entries to Drug Classes

The free text entries given by health care professionals were grouped into 16 different drug classes. See Table A1 for the drug classes, the different entries found and the number of different entries, i.e. spellings and drug names found. In addition, the last row of Table A1 lists those entries that could not be assigned.

Data Quality: Way of Administration

There are two free text fields in the SHCS follow-up questionnaire, one for intravenous (iv) drugs and one for nonintravenous drugs. In the main analysis, we combined these entries and did not analyse them separately. The following table, however, lists how often a substance was reported as intravenous and how often as nonintravenous.

Drug Intravenous Nonintravenous iv plausible
Amphetamine 18 445 TRUE
XTC/MDMA 15 4684 FALSE
Methamphetamine 468 968 TRUE
Mephedrone 5 24 TRUE
GHB/GBL 4 903 FALSE
Ketamine 127 411 TRUE
Amyl nitrite 1 5085 FALSE
LSD/other psychogenic drugs 1 140 FALSE
Benzodiazepine 92 676 TRUE
Cannabis 2 54 FALSE
Heroin 10 2 TRUE
Other opioids 46 124 TRUE
Cocaine 2 5 TRUE
Methylphenidate 19 35 FALSE
Anabolic steroids 1 22 TRUE
Other prescription drugs 0 13 FALSE
GHB/GBL, γ-hydroxybutric acid/γ-butyrolactone; LSD, lysergic acid diethylamide; XTC/MDMA, 3,4-methylenedioxymethamphetamine.
There were 42 clearly wrongly classified iv entries (see the orange boxes), out of 811 iv entries, i.e. 5.2% (42/811) of all iv classified entries were in the wrong column.

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