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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedMiller-Rosales C, Busch SH, Meara ER
Internal and environmental predictors of physician practice use of screening and medications for opioid use disorders.
This study examined the extent of screening for opioid use and availability of medications for opioid use disorder (MOUD) in a national cross-section of multi-physician primary care and multispecialty practices. The authors found that a total of 26.2% of practices offered MOUD, while 69.4% of practices screened for opioid use. Offering of MOUD in a practice was associated with having advanced HIT functionality, while access to on-site behavioral clinicians was positively associated with offering MOUD in adjusted models.
AHRQ-funded; HS024075.
Citation: Miller-Rosales C, Busch SH, Meara ER .
Internal and environmental predictors of physician practice use of screening and medications for opioid use disorders.
Med Care Res Rev 2023 Aug; 80(4):410-22. doi: 10.1177/10775587231162681..
Keywords: Opioids, Substance Abuse, Behavioral Health, Screening, Medication, Practice Patterns
Afshar M, Sharma B, Bhalla S
External validation of an opioid misuse machine learning classifier in hospitalized adult patients.
This study looks at new methods to make opioid misuse screening in hospitals less resource-intensive, which causes it to occur rarely. The objective of this study is to externally validate the author’s previously published and open-source machine learning classifier by implementing it a different hospital to identify cases of opioid misuse. An observational cohort of 56,227 adult hospitalizations from October 2017 to December 2019 was used during a hospital-wide substance use screening program with manual screening. A manually completed Drug Abuse Screening Test served as the reference standard to validate a convolutional neural network (CNN) classified with coded word embedding features to capture electronic health record (EHR) clinical notes. Manual screening was completed in 67.8% of patients with 1.1% identified with opioid misuse. The opioid misuse classifier had good discrimination during external validation and may help overcome manual screening barriers.
AHRQ-funded; HS026385.
Citation: Afshar M, Sharma B, Bhalla S .
External validation of an opioid misuse machine learning classifier in hospitalized adult patients.
Addict Sci Clin Pract 2021 Mar 17;16(1):19. doi: 10.1186/s13722-021-00229-7..
Keywords: Opioids, Medication, Substance Abuse, Screening, Hospitalization
Katz DF, Sun J, Khatri V
QTc interval screening in an opioid treatment program.
This pilot study supports the feasibility of implementing a population-based electrocardiographic monitoring program in order to decrease the QTc interval in high-risk patients undergoing methadone maintenance in an opioid treatment program. Clinical characteristics alone were inadequate to identify patients in need of electrocardiographic screening.
AHRQ-funded; HS021138
Citation: Katz DF, Sun J, Khatri V .
QTc interval screening in an opioid treatment program.
Am J Cardiol. 2013 Oct 1;112(7):1013-8. doi: 10.1016/j.amjcard.2013.05.037..
Keywords: Opioids, Medication, Substance Abuse, Screening, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Risk, Implementation