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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 DisplayedDewan M, O'Halloran A, Kleinman M
eStablish and Formalize Expert Criteria for Avoidable Resuscitation Review (SAFECARR) electronic Delphi: development of a consensus framework for classifying and reviewing cardiac arrests within the PICU.
The authors sought to develop a consensus framework to guide the process of classifying and reviewing pediatric in-hospital cardiac arrest in the PICU. A multidisciplinary group of pediatric resuscitation experts generated a consensus-based framework to classify and review pediatric in-hospital cardiac arrest in the PICU. The authors recommended that future work focus on the application of this framework and further validation of these definitions and contributing factors for in-hospital cardiac arrest both within and outside the PICU.
AHRQ-funded; HS026975.
Citation: Dewan M, O'Halloran A, Kleinman M .
eStablish and Formalize Expert Criteria for Avoidable Resuscitation Review (SAFECARR) electronic Delphi: development of a consensus framework for classifying and reviewing cardiac arrests within the PICU.
Pediatr Crit Care Med 2020 Nov;21(11):992-99. doi: 10.1097/pcc.0000000000002488..
Keywords: Children/Adolescents, Intensive Care Unit (ICU), Heart Disease and Health, Cardiovascular Conditions, Diagnostic Safety and Quality
Shah RU, Mutharasan RK, Ahmad FS
Development of a portable tool to identify patients with atrial fibrillation using clinical notes from the electronic medical record.
The electronic medical record contains a wealth of information buried in free text. In this study, the investigators created a natural language processing algorithm to identify patients with atrial fibrillation (AF) using text alone. The authors concluded that this approach allowed better use of the clinical narrative and created an opportunity for precise, high-throughput cohort identification.
AHRQ-funded; HS026385.
Citation: Shah RU, Mutharasan RK, Ahmad FS .
Development of a portable tool to identify patients with atrial fibrillation using clinical notes from the electronic medical record.
Circ Cardiovasc Qual Outcomes 2020 Oct;13(10):e006516. doi: 10.1161/circoutcomes.120.006516..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality
Mahtta D, Ahmed ST, Shah NR
Facility-level variation in cardiac stress test use among patients with diabetes: findings from the Veterans Affairs national database.
The authors evaluate facility-level variation in cardiac stress test use among patients with diabetes mellitus (DM) across the Veterans Affairs (VA) health care system. Their results suggest that significant residual variation in overall stress test use exists among veterans with DM. They recommend future studies to assess system-wide appropriateness of stress testing, to assess patient-level symptom data, and to conduct qualitative analyses in order to understand individual provider-level drivers behind such variation.
AHRQ-funded; HS022998.
Citation: Mahtta D, Ahmed ST, Shah NR .
Facility-level variation in cardiac stress test use among patients with diabetes: findings from the Veterans Affairs national database.
Diabetes Care 2020 May;43(5):e58-e60. doi: 10.2337/dc19-2160..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Diabetes, Decision Making, Diagnostic Safety and Quality, Chronic Conditions
Pereira T, Gadhoumi K, Ma M
A supervised approach to robust photoplethysmography quality assessment.
In this paper, the investigators tested the performance of algorithms selected from a body of studies on photoplethysmogram (PPG) quality assessment using a dataset of PPG recordings from patients with AFib. They then proposed machine learning approaches for PPG quality assessment in 30-s segments of PPG recording from 13 stroke patients admitted to the University of California San Francisco (UCSF) neuro intensive care unit and another dataset of 3764 patients from one of the five UCSF general intensive care units.
AHRQ-funded; HS022860.
Citation: Pereira T, Gadhoumi K, Ma M .
A supervised approach to robust photoplethysmography quality assessment.
IEEE J Biomed Health Inform 2020 Mar;24(3):649-57. doi: 10.1109/jbhi.2019.2909065..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Stroke, Diagnostic Safety and Quality