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Search All Research Studies
Topics
- (-) Adverse Drug Events (ADE) (6)
- Adverse Events (3)
- Blood Thinners (1)
- (-) Data (6)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (3)
- Health Information Technology (HIT) (1)
- Medical Errors (1)
- Medication (6)
- Medication: Safety (2)
- Patient Safety (3)
- Research Methodologies (1)
- Vitamins and Supplements (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 6 of 6 Research Studies DisplayedYao B, Kang H, Gong Y
Data quality assessment of narrative medication error reports.
This study examined the data quality of patient safety event (PSE) reports that are used to analyze the root causes of PSE. If the data quality is poor then the reporting and root cause analysis (RCA) will also be poor. Incomplete or missing data is the most prevalent problem in these reports. The researchers used an adapted taxonomy to assess the data quality of PSE reports, and extracted sample reports based on eight error types. The extracts were scored by experts. They found that most structured fields were ignored by reporters, but the narrative parts of the reports contained rich and valuable information. The results show that the adapted taxonomy could be a promising tool for report quality assessment and improvement.
AHRQ-funded; HS022895.
Citation: Yao B, Kang H, Gong Y .
Data quality assessment of narrative medication error reports.
Stud Health Technol Inform 2019 Aug 9;265:101-06. doi: 10.3233/shti190146..
Keywords: Adverse Drug Events (ADE), Medication, Medical Errors, Adverse Events, Data, Patient Safety
Wang 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
Goss FR, Lai KH, Topaz M
A value set for documenting adverse reactions in electronic health records.
In this study, the investigators developed a value set for encoding adverse reactions using a large dataset from one health system, enriched by reactions from 2 large external resources. This integrated value set included clinically important severe and hypersensitivity reactions. The work contributed a value set, harmonized with existing data, to improve the consistency and accuracy of reaction documentation in electronic health records, providing the necessary building blocks for more intelligent clinical decision support for allergies and adverse reactions.
AHRQ-funded; HS022728.
Citation: Goss FR, Lai KH, Topaz M .
A value set for documenting adverse reactions in electronic health records.
J Am Med Inform Assoc 2018 Jun;25(6):661-69. doi: 10.1093/jamia/ocx139..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Medication, Data, Health Information Technology (HIT), Patient Safety
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)
Raebel MA, Shetterly S, Lu CY
Methods for using clinical laboratory test results as baseline confounders in multi-site observational database studies when missing data are expected.
The purpose of this paper was to quantify missing baseline laboratory results, assess predictors of missingness, and examine performance of missing data methods. The researchers used the Mini-Sentinel Distributed Database to select three exposure-outcome scenarios with laboratory results as baseline confounders. They found that missing data methods performed similarly.
AHRQ-funded; HS023898.
Citation: Raebel MA, Shetterly S, Lu CY .
Methods for using clinical laboratory test results as baseline confounders in multi-site observational database studies when missing data are expected.
Pharmacoepidemiol Drug Saf 2016 Jul;25(7):798-814. doi: 10.1002/pds.4015.
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Keywords: Adverse Drug Events (ADE), Blood Thinners, Data, Diagnostic Safety and Quality, Medication
Zhang R, Manohar N, Arsoniadis E
Evaluating term coverage of herbal and dietary supplements in electronic health records.
Some supplements can interact with prescription medications, potentially leading to clinically important and potentially preventable adverse reactions. Clinical notes and corresponding medication lists from an integrated healthcare system were extracted and compared with online databases. The authors found that, overall, about 40% of listed medications are supplements, most of which are included in medication lists as nutritional or miscellaneous products. They found gaps between supplement and standard medication terminologies and identified supplements which were not mentioned in the medication lists.
AHRQ-funded; HS022085.
Citation: Zhang R, Manohar N, Arsoniadis E .
Evaluating term coverage of herbal and dietary supplements in electronic health records.
AMIA Annu Symp Proc 2015 Nov 5;2015:1361-70.
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Keywords: Adverse Drug Events (ADE), Data, Electronic Health Records (EHRs), Medication, Vitamins and Supplements