Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: mathematical modeling using a database of commercially-insured individuals

Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: mathematical modeling using a database of commercially-insured individuals

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http://www.wikidata.org/entity/Q33716509
Prescription of opioid analgesics for nontraumatic dental conditions in emergency departments.Can Genetic Testing Coupled with Enhanced Dopaminergic Activation Reduce Recidivism Rates in the Workers Compensation Legacy Cases?The use of a prescription drug monitoring program to develop algorithms to identify providers with unusual prescribing practices for controlled substances.Age of initiation, psychopathology, and other substance use are associated with time to use disorder diagnosis in persons using opioids nonmedically.Prevalence of Prescription Opioid Misuse/Abuse as Determined by International Classification of Diseases Codes: A Systematic Review.Patient-reported pathways to opioid use disorders and pain-related barriers to treatment engagement.The extent and correlates of community-based pharmaceutical opioid utilisation in Australia.Injectable naltrexone, oral naltrexone, and buprenorphine utilization and discontinuation among individuals treated for opioid use disorder in a United States commercially insured population.Long-term opioid therapy for chronic non-cancer pain in Germany.Pharmaceutical Opioid Use and Dependence among People Living with Chronic Pain: Associations Observed within the Pain and Opioids in Treatment (POINT) Cohort.Opioid Demand Before and After Anterior Cruciate Ligament Reconstruction.Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.Unsolicited Reporting to Prescribers of Opioid Analgesics by a State Prescription Drug Monitoring Program: An Observational Study with Matched Comparison Group.Healthcare costs and utilization associated with high-risk prescription opioid use: a retrospective cohort study.Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.The Economic Burden of Abuse of Prescription Opioids: A Systematic Literature Review from 2012 to 2017Opioid Dependence Risk Factors and Risk Assessment
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Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: mathematical modeling using a database of commercially-insured individuals

Item
http://www.wikidata.org/entity/Q33716509
description
2014 nî lūn-bûn
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2014 թուականի Մարտին հրատարակուած գիտական յօդուած
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2014 թվականի մարտին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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Factors predicting development ...... mmercially-insured individuals
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Factors predicting development ...... mmercially-insured individuals
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Factors predicting development ...... mmercially-insured individuals
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Factors predicting development ...... mmercially-insured individuals
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Factors predicting development ...... mmercially-insured individuals
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Factors predicting development ...... mmercially-insured individuals
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10.1016/J.DRUGALCDEP.2014.02.701
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