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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 3 of 3 Research Studies DisplayedOfoma UR, Drewry AM, Maddox TM
Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care.
This study compared survival rates for inpatients who suffered in-hospital cardiac arrest (IHCA) who had access to Telemedicine Critical Care (TCC) during nights and weekends (off-hours) compared to those who did not. The authors identified 44,585 adults at 280 U.S. hospitals in the Get With The Guidelines® - Resuscitation registry who suffered IHCA in an Intensive Care Unit (ICU) or hospital ward between July 2017 and December 2019. The majority (60.6%) of IHCAs occurred in an ICU, and 32.2% participants suffered IHCA at hospitals with TCC. No difference was found in acute resuscitation survival rates or survival to discharge rates for either IHCA between TCC and non-TCC hospitals. Timing of cardiac arrest did not modify the association between TCC availability and acute resuscitation survival or survival to discharge.
AHRQ-funded; HS019455.
Citation: Ofoma UR, Drewry AM, Maddox TM .
Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care.
Resuscitation 2022 Aug;177:7-15. doi: 10.1016/j.resuscitation.2022.06.008..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Telehealth, Health Information Technology (HIT), Outcomes, Critical Care, Intensive Care Unit (ICU)
Hannan EL, Barrett SC, Samadashvili Z
Retooling of paper-based outcome measures to electronic format: comparison of the NY State public risk model and EHR-derived risk models for CABG mortality.
This study assessed the feasibility of retooling the paper-based New York State coronary artery bypass graft (CABG) surgery statistical model for mortality and readmission into a model for electronic health records (EHRs). Researchers found that only 6 data elements could be extracted from the EHR, and outlier hospitals differed for readmission but was usable for mortality. They concluded that the EHR model was inferior to the NYS model, and that simplifying the EHR risk model couldn’t capture most of the risk factors in the NYS model.
AHRQ-funded; HS022647.
Citation: Hannan EL, Barrett SC, Samadashvili Z .
Retooling of paper-based outcome measures to electronic format: comparison of the NY State public risk model and EHR-derived risk models for CABG mortality.
Med Care 2019 May;57(5):377-84. doi: 10.1097/mlr.0000000000001104..
Keywords: Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Mortality, Outcomes, Risk, Cardiovascular Conditions
Wang HE, Schmicker RH, Herren H
Classification of cardiopulmonary resuscitation chest compression patterns: manual versus automated approaches.
The researchers sought to determine the inter-rater reliability of chest compression pattern classifications by human raters. They found good inter-rater agreement in the manual classification of CPR chest compression patterns, and automated classification showed strong agreement with human ratings.
AHRQ-funded; HS013852.
Citation: Wang HE, Schmicker RH, Herren H .
Classification of cardiopulmonary resuscitation chest compression patterns: manual versus automated approaches.
Acad Emerg Med 2015 Feb;22(2):204-11. doi: 10.1111/acem.12577.
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Keywords: Cardiovascular Conditions, Health Information Technology (HIT), Outcomes