Imperial College London
Alternate

DrAnnickBorquez

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 3290annick.borquez06

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Patton:2022:10.2196/preprints.41527,
author = {Patton, T and Abramovitz, D and Johnson, D and Leas, E and Nobles, A and Caputi, T and Ayers, J and Strathdee, S and Bórquez, A},
doi = {10.2196/preprints.41527},
title = {Help-Seeking for Substance Use Treatment on Internet Search Engines (Preprint)},
url = {http://dx.doi.org/10.2196/preprints.41527},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <sec>                    <title>BACKGROUND</title>                        <p>There is no recognized “gold standard” method for estimating the number of individuals with substance use disorders (SUD) seeking help within a given geographical area. This presents a challenge to policymakers in the effective deployment of resources for the treatment of SUD. Internet search queries related to help-seeking for SUDs may represent a low-cost, real-time, and data-driven strategy to address this shortfall in information.</p>                </sec>                                <sec>                    <title>OBJECTIVE</title>                        <p>This paper assesses the feasibility of using search query data related to help-seeking for SUDs as an indicator of unmet treatment need, demand for treatment, and a predictor of the health harms related to unmet treatment need.</p>                </sec>                                <sec>                    <title>METHODS</title>                        <p>We used negative binomial regression models to examine temporal trends in the annual SUD help-seeking internet search queries by U.S. state for cocaine, methamphetamine, opioids, cannabis, and alcohol from 2010 to 2020. To validate the value of these data for surveillance purposes, we then used negative binomial regression models to investigate the relationship between SUD help-seeking searches and state-level outcomes across the continuum of care (including lack of care). We started by looking at associations with self-reported treatment need using data from the National Survey on Drug Use and Health, a national survey of the U.S. general population. Next, we explored associations with treatment admission rates from the Treatment Episode Data Set, a national data system on SUD treatment facilities. Finally, we studied associations with state-level rates of people experie
AU  - Patton,T
AU  - Abramovitz,D
AU  - Johnson,D
AU  - Leas,E
AU  - Nobles,A
AU  - Caputi,T
AU  - Ayers,J
AU  - Strathdee,S
AU  - Bórquez,A
DO  - 10.2196/preprints.41527
PY  - 2022///
TI  - Help-Seeking for Substance Use Treatment on Internet Search Engines (Preprint)
UR  - http://dx.doi.org/10.2196/preprints.41527
ER  -
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