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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (4)
- Adverse Events (2)
- Blood Clots (2)
- (-) Blood Thinners (5)
- Care Management (1)
- Clinical Decision Support (CDS) (1)
- Comparative Effectiveness (1)
- Decision Making (1)
- Electronic Health Records (EHRs) (1)
- Health Information Technology (HIT) (1)
- Hospitalization (2)
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- Medication: Safety (2)
- (-) Patient Safety (5)
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- Risk (2)
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 5 of 5 Research Studies DisplayedReese TJ, Del Fiol G, Morgan K
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
Exposure to life-threatening drug-drug interactions (DDIs) occurs despite the widespread use of clinical decision support. The DDI between warfarin and nonsteroidal anti-inflammatory drugs is common and potentially life-threatening. Patients can play a substantial role in preventing harm from DDIs; however, the current model for DDI decision-making is clinician centric. This study aimed to design and examine the usability of DDInteract, a tool to support shared decision-making (SDM) between a patient and provider for the DDI between warfarin and nonsteroidal anti-inflammatory drugs.
AHRQ-funded; HS026198.
Citation: Reese TJ, Del Fiol G, Morgan K .
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
JMIR Hum Factors 2021 Oct 26;8(4):e28618. doi: 10.2196/28618..
Keywords: Blood Thinners, Medication: Safety, Medication, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Herrin J, Abraham NS, Yao X
Comparative effectiveness of machine learning approaches for predicting gastrointestinal bleeds in patients receiving antithrombotic treatment.
The purpose of this retrospective cross-sectional study was to compare the performance of 3 machine learning approaches with the commonly-used HAS-BLED (hypertension, abnormal kidney and liver function, stroke, bleeding, labile international normalized ratio, older age, and drug or alcohol use) risk score in predicting antithrombotic-related gastrointestinal bleeding (GIB). The machine-learning models were regularized Cox proportional hazards regression (RegCox), random survival forests, and extreme gradient boosting (XGBoost). Findings showed that the machine learning models revealed similar performance in identifying patients at high risk for GIB after being prescribed antithrombotic agents. Two models (RegCox and XGBoost) performed modestly better than the HAS-BLED score.
AHRQ-funded; HS025402.
Citation: Herrin J, Abraham NS, Yao X .
Comparative effectiveness of machine learning approaches for predicting gastrointestinal bleeds in patients receiving antithrombotic treatment.
JAMA Netw Open 2021 May;4(5):e2110703. doi: 10.1001/jamanetworkopen.2021.10703..
Keywords: Blood Thinners, Medication, Risk, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety, Comparative Effectiveness
Wang SV, Franklin JM, Glynn RJ
Prediction of rates of thromboembolic and major bleeding outcomes with dabigatran or warfarin among patients with atrial fibrillation: new initiator cohort study.
The authors compared stratified event rates from randomized controlled trials with predicted event rates from models developed in observational data and assessed their ability to accurately capture observed rates of thromboembolism and major bleeding for patients treated with dabigatran or warfarin as part of routine care. They found that estimated rates of thromboembolism under dabigatran or warfarin treatment in randomized controlled trials were close to observed rates in routine care patients, but that rates of major bleeding were underestimated. They concluded that models developed in routine care patients can provide accurate, tailored estimates of risk and benefit under alternative treatment to enhance patient centered care.
AHRQ-funded; HS022193.
Citation: Wang SV, Franklin JM, Glynn RJ .
Prediction of rates of thromboembolic and major bleeding outcomes with dabigatran or warfarin among patients with atrial fibrillation: new initiator cohort study.
BMJ 2016 May 24;353:i2607. doi: 10.1136/bmj.i2607.
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Keywords: Blood Thinners, Adverse Drug Events (ADE), Blood Clots, Patient Safety, Medication
Metersky ML, Eldridge N, Wang Y
AHRQ Author: Eldridge N
Predictors of warfarin-associated adverse events in hospitalized patients: Opportunities to prevent patient harm.
The researchers assessed the relationship between daily versus less frequent international normalized ratio ( INR) monitoring and overanticoagulation and warfarin-related adverse events. They bconcluded that daily INR measurement and recognition of a rapidly rising INR might decrease the frequency of warfarin-associated adverse events in hospitalized patients.
AHRQ-authored; AHRQ-funded; 290201200003C.
Citation: Metersky ML, Eldridge N, Wang Y .
Predictors of warfarin-associated adverse events in hospitalized patients: Opportunities to prevent patient harm.
J Hosp Med 2016 Apr;11(4):276-82. doi: 10.1002/jhm.2528.
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Keywords: Blood Thinners, Care Management, Adverse Drug Events (ADE), Patient Safety, Hospitalization, Prevention
Chopra V, Fallouh N, McGuirk H
Patterns, risk factors and treatment associated with PICC-DVT in hospitalized adults: a nested case-control study.
The purpose of this study was to determine patterns, risk factors and treatment related to peripherally inserted central catheters-deep vein thrombosis (PICC-DVT) in hospitalized patients. It found that treatment for PICC-DVT varied and included heparin bridging, low molecular weight heparin only and device removal only; the average duration of treatment also varied across these groups.
AHRQ-funded; HS022835.
Citation: Chopra V, Fallouh N, McGuirk H .
Patterns, risk factors and treatment associated with PICC-DVT in hospitalized adults: a nested case-control study.
Thromb Res 2015 May;135(5):829-34. doi: 10.1016/j.thromres.2015.02.012..
Keywords: Patient Safety, Blood Clots, Blood Thinners, Risk, Hospitalization