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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 DisplayedHinson JS, Martinez DA, Cabral S
Triage performance in emergency medicine: a systematic review.
The authors synthesized existing emergency department (ED) triage literature by using a framework that enables performance comparisons and benchmarking across triage systems, with respect to clinical outcomes and reliability. They found that a substantial proportion of ED patients who die post-encounter or who are critically ill are not designated as high acuity at triage. They suggested that the opportunity exists to improve interrater reliability and triage performance in identifying patients at risk of adverse outcome.
AHRQ-funded; HS023641.
Citation: Hinson JS, Martinez DA, Cabral S .
Triage performance in emergency medicine: a systematic review.
Ann Emerg Med 2019 Jul;74(1):140-52. doi: 10.1016/j.annemergmed.2018.09.022..
Keywords: Emergency Department, Shared Decision Making, Critical Care, Outcomes, Health Information Technology (HIT)
Levin S, Toerper M, Hamrock E
Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index.
This study seeks to evaluate an electronic triage system (e-triage) based on machine learning that predicts likelihood of acute outcomes enabling improved patient differentiation. It concluded that E-triage more accurately classifies emergency severity index (ESI) level 3 patients and highlights opportunities to use predictive analytics to support triage decisionmaking.
AHRQ-funded; HS023641.
Citation: Levin S, Toerper M, Hamrock E .
Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index.
Ann Emerg Med 2018 May;71(5):565-74.e2. doi: 10.1016/j.annemergmed.2017.08.005.
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Keywords: Shared Decision Making, Health Information Technology (HIT), Health Information Technology (HIT), Outcomes
Heisler M, Choi H, Palmisano G
Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.
This study compared outcomes between community health worker (CHW) use of a tailored, interactive, Web-based, tablet computer-delivered tool specifically developed for the study and use of printed educational materials. In a population of low-income Latino and African American adults with diabetes and relatively low levels of formal education, participants in both CHW-led interventions reported mostly similar improvements in outcomes over 3 months.
AHRQ-funded; HS019256
Citation: Heisler M, Choi H, Palmisano G .
Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.
Ann Intern Med. 2014 Nov 18;161(10 Suppl):S13-22. doi: 10.7326/m13-3012..
Keywords: Health Information Technology (HIT), Diabetes, Shared Decision Making, Outcomes, Social Determinants of Health