Original research
by
Bormann, Nicholas L. & Stephan Arndt
Release Date
2024
Geography
USA
Language of Resource
English
Full Text Available
No
Open Access / OK to Reproduce
No
Peer Reviewed
Yes
Objective
We sought to quantify the methodologic bias incorporated by using all encounters versus initial encounters and assess if this risk is evenly distributed across all routes of drug administration.
Findings/Key points
Using encounter-based datasets can introduce bias when including all admissions versus exclusively initial treatment episodes. This report is the first to quantify this bias and shows that individuals with IDU are at highest risk for returning to treatment, thereby over-representing this method of use when all encounters are used.
Design/methods
TEDS-A 2000–2020 dataset with nonmissing primary substance data was used.
Keywords
Injecting drugs
Hospitals
About PWUD