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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 2 of 2 Research Studies DisplayedShear K, Rice H, Garabedian PM
Management of fall risk among older adults in diverse primary care settings.
The purpose of this study was to describe how urban and rural primary care staff and older adults manage fall risk and factors relevant to the application of computerized clinical decision support (CCDS). METHODS: Interviews, contextual inquiries, and workflow observations were analyzed. The study found that participants valued fall prevention and described similar approaches. Variations in available resources existed between rural and urban locations. Participants wanted evidence-based guidance incorporated into workflows to bridge gaps in skills.
AHRQ-funded; HS027557.
Citation: Shear K, Rice H, Garabedian PM .
Management of fall risk among older adults in diverse primary care settings.
J Appl Gerontol 2023 Nov; 42(11):2219-32. doi: 10.1177/07334648231185757..
Keywords: Falls, Elderly, Primary Care, Rural Health, Rural/Inner-City Residents
Hekman DJ, Cochran AL, Maru AP
Effectiveness of an emergency department-based machine learning clinical decision support tool to prevent outpatient falls among older adults: protocol for a quasi-experimental study.
This article described a research protocol for evaluating the effectiveness of an automated screening and referral intervention tool for patients receiving falls risk intervention. The study will attempt to quantify the impact of a machine learning (ML) clinical decision support intervention on patient behavior and outcomes. The primary analysis will obtain referral completion rates from different emergency departments. The findings will inform ongoing discussion on the use of ML and artificial intelligence to augment medical decision-making.
AHRQ-funded; HS027735.
Citation: Hekman DJ, Cochran AL, Maru AP .
Effectiveness of an emergency department-based machine learning clinical decision support tool to prevent outpatient falls among older adults: protocol for a quasi-experimental study.
JMIR Res Protoc 2023 Aug 3; 12:e48128. doi: 10.2196/48128..
Keywords: Clinical Decision Support (CDS), Emergency Department, Health Information Technology (HIT), Elderly, Falls