National Healthcare Quality and Disparities Report
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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 4 of 4 Research Studies DisplayedSoares WE, Knee A, Gemme SR
SC, et al. A prospective evaluation of Clinical HEART score agreement, accuracy, and adherence in emergency department chest pain patients.
The HEART score is a risk stratification aid that may safely reduce chest pain admissions for emergency department patients. However, differences in interpretation of subjective components potentially alters the performance of the score. In this study, the investigators compared agreement between HEART scores determined during clinical practice with research-generated scores and estimated their accuracy in predicting 30-day major adverse cardiac events.
AHRQ-funded; HS024815.
Citation: Soares WE, Knee A, Gemme SR .
SC, et al. A prospective evaluation of Clinical HEART score agreement, accuracy, and adherence in emergency department chest pain patients.
Ann Emerg Med 2021 Aug;78(2):231-41. doi: 10.1016/j.annemergmed.2021.03.024..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Emergency Department, Diagnostic Safety and Quality, Clinical Decision Support (CDS), Health Information Technology (HIT)
Ganguli I, Cui J, Thakore N
Downstream cascades of care following high-sensitivity troponin test implementation.
This study sought to determine the association of high-sensitivity cardiac troponin (hs-cTn) assay implementation with cascade events. The investigators found that hs-cTn assay implementation was associated with more net upfront tests yet fewer net stress tests, percutaneous coronary interventions, cardiology evaluations, and hospital admissions in patients with chest pain relative to patients with other symptoms.
AHRQ-funded; toHS023812.
Citation: Ganguli I, Cui J, Thakore N .
Downstream cascades of care following high-sensitivity troponin test implementation.
J Am Coll Cardiol 2021 Jun 29;77(25):3171-79. doi: 10.1016/j.jacc.2021.04.049..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Diagnostic Safety and Quality
Huda A, Castaño A, Niyogi A
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy.
Transthyretin amyloid cardiomyopathy, an often-unrecognized cause of heart failure, is now treatable with a transthyretin stabilizer. It is therefore important to identify at-risk patients who can undergo targeted testing for earlier diagnosis and treatment, prior to the development of irreversible heart failure. In this study, the investigators showed that a random forest machine learning model could identify potential wild-type transthyretin amyloid cardiomyopathy using medical claims data.
AHRQ-funded; HS026385.
Citation: Huda A, Castaño A, Niyogi A .
A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy.
Nat Commun 2021 May 11;12(1):2725. doi: 10.1038/s41467-021-22876-9..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Neurological Disorders, Diagnostic Safety and Quality, Risk
Shah NR, Eisman AS, Winchester DE
E-consult protocoling to improve the quality of cardiac stress tests.
Rarely appropriate cardiac stress tests remain prevalent in the range of 10% to 20% and unnecessarily prolong wait times. To address this ongoing problem, the investigators designed the EPIQ-Stress workflow, which included a structured electronic consult (“econsult”) with all outpatient stress test orders. In this study, the investigators assessed whether EPIQ-Stress implementation was associated with a reduction in rarely appropriate testing and in order-to-report wait times.
AHRQ-funded; HS022998.
Citation: Shah NR, Eisman AS, Winchester DE .
E-consult protocoling to improve the quality of cardiac stress tests.
JACC Cardiovasc Imaging 2021 Feb;14(2):512-14. doi: 10.1016/j.jcmg.2020.08.009..
Keywords: Telehealth, Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions, Diagnostic Safety and Quality