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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 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
Blumenthal KG, Acker WW, Li Y
Allergy entry and deletion in the electronic health record.
The researchers aimed to assess drug allergy entry, deletion, and accumulation, to identify health care professional types recording allergy data, and to assess the reaction types that lead to allergy entry and deletion. They found that of all allergies, 38.2 percent were immune mediated and 29.6 percent included only adverse effect reactions. Unavailable or unknown reactions comprised 32.2 percent of all allergies entered or deleted.
AHRQ-funded; HS022728.
Citation: Blumenthal KG, Acker WW, Li Y .
Allergy entry and deletion in the electronic health record.
Ann Allergy Asthma Immunol 2017 Mar;118(3):380-81. doi: 10.1016/j.anai.2016.12.020.
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Keywords: Data, Electronic Health Records (EHRs), Medication: Safety, Medication, Adverse Drug Events (ADE)