National Healthcare Quality and Disparities Report
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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 2 of 2 Research Studies DisplayedWang SV, Maro JC, Baro E
Data mining for adverse drug events with a propensity score-matched tree-based scan statistic.
In this study, the investigators propose a method that combines tree-based scan statistics with propensity score-matched analysis of new initiator cohorts, a robust design for investigations of drug safety. They subsequently conducted plasmode simulations to evaluate performance. The authors suggest that TreeScan with propensity score matching shows promise as a method for screening and prioritization of potential adverse events.
AHRQ-funded; HS022193.
Citation: Wang SV, Maro JC, Baro E .
Data mining for adverse drug events with a propensity score-matched tree-based scan statistic.
Epidemiology 2018 Nov;29(6):895-903. doi: 10.1097/ede.0000000000000907..
Keywords: Adverse Drug Events (ADE), Adverse Events, Patient Safety, Medication, Medication: Safety, Data, Research Methodologies
Bell SK, Etchegaray JM, Gaufberg E
A multi-stakeholder consensus-driven research agenda for better understanding and supporting the emotional impact of harmful events on patients and families.
A one-day conference of diverse stakeholder groups convened to establish a consensus-driven research agenda focused on the impact of patient and family emotional harm stemming from preventable medical error. Stakeholder groups reached consensus and designed a path forward to inform approaches that better support harmed patients and families, with both immediately actionable and longer-term research strategies.
AHRQ-funded; HS024463.
Citation: Bell SK, Etchegaray JM, Gaufberg E .
A multi-stakeholder consensus-driven research agenda for better understanding and supporting the emotional impact of harmful events on patients and families.
Jt Comm J Qual Patient Saf 2018 Jul;44(7):424-35. doi: 10.1016/j.jcjq.2018.03.007..
Keywords: Adverse Events, Medical Errors, Patient Safety, Research Methodologies