Google trend api python9/13/2023 We were able to identify outlier states for each drug over time (eg, West Virginia for both opioids and methamphetamine), indicating significantly higher help-seeking behaviors compared to national trends. Results: Statistically significant differences in help-seeking searches were observed over time between 20 (based on P<.05 for the corresponding Wald tests). Finally, we studied associations with state-level rates of people experiencing and dying from an opioid overdose, using data from the Agency for Healthcare Research and Quality and the CDC WONDER database. Next, we explored associations with treatment admission rates from the Treatment Episode Data Set, a national data system on SUD treatment facilities. 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 US general population. 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). Methods: We used negative binomial regression models to examine temporal trends in the annual SUD help-seeking internet search queries from Google Trends by US state for cocaine, methamphetamine, opioids, cannabis, and alcohol from 2010 to 2020. We explore a continuum of hypotheses to account for different outcomes that might be expected to occur depending on the demand for treatment relative to the system capacity and the timing of help seeking in relation to trajectories of substance use and behavior change. Objective: This paper assesses the feasibility of using search query data related to help seeking for SUDs as an indicator of unmet treatment needs, demand for treatment, and predictor of the health harms related to unmet treatment needs. Internet search queries related to help seeking for SUDs using Google Trends may represent a low-cost, real-time, and data-driven infoveillance tool to address this shortfall in information. This presents a challenge to policy makers in the effective deployment of resources for the treatment of SUDs. Asian/Pacific Island Nursing Journal 10 articlesÄivision of Infectious Diseases and Global Public HealthÄ®mail: There is no recognized gold standard method for estimating the number of individuals with substance use disorders (SUDs) seeking help within a given geographical area.JMIR Bioinformatics and Biotechnology 32 articles.JMIR Biomedical Engineering 68 articles.Journal of Participatory Medicine 78 articles. JMIR Perioperative Medicine 89 articles.JMIR Rehabilitation and Assistive Technologies 201 articles.JMIR Pediatrics and Parenting 279 articles.Interactive Journal of Medical Research 306 articles.JMIR Public Health and Surveillance 1141 articles.Journal of Medical Internet Research 7471 articles.
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