scholarly journals Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States

2015 ◽  
Vol 51 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Sean Esteban McCabe ◽  
Brady T. West
2020 ◽  
Vol 222 (Supplement_5) ◽  
pp. S218-S229
Author(s):  
Heather Bradley ◽  
Elizabeth M Rosenthal ◽  
Meredith A Barranco ◽  
Tomoko Udo ◽  
Patrick S Sullivan ◽  
...  

Abstract Background In the United States, injection is an increasingly common route of administration for opioids and other substances. Estimates of the number of persons who inject drugs (PWID) are needed for monitoring risk-specific infectious disease rates and health services coverage. Methods We reviewed design and instruments for 4 national household surveys, 2012–2016, for their ability to produce unbiased injection drug use (IDU) prevalence estimates. We explored potential analytic adjustments for reducing biases through use of external data on (1) arrest, (2) narcotic overdose mortality, and (3) biomarker-based sensitivity of self-reported illicit drug use. Results Estimated national past 12 months IDU prevalence ranged from 0.24% to 0.59% across surveys. All surveys excluded unstably housed and incarcerated persons, and estimates were based on <60 respondents reporting IDU behavior in 3 surveys. No surveys asked participants about nonmedical injection of prescription drugs. Analytic adjustments did not appreciably change IDU prevalence estimates due to suboptimal specificity of data points. Conclusions PWID population size estimates in the United States are based on small numbers and are likely biased by undercoverage of key populations and self-report. Novel methods as discussed in this article may improve our understanding of PWID population size and their health needs.


Dermatitis ◽  
2007 ◽  
Vol 18 (2) ◽  
pp. 82-91 ◽  
Author(s):  
Jon M. Hanifin ◽  
Michael L. Reed

Sign in / Sign up

Export Citation Format

Share Document