National Healthcare Quality and Disparities Report
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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 DisplayedYang Y, Bass EJ, Sockolow PS
Knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization.
Researchers elicit knowledge related to expert decision-making processes to inform information technology design and related interventions. In this study, the investigators examine knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization. The investigators concluded that the data collection and validation methodology showed promise for knowledge elicitation in time-constrained situations.
AHRQ-funded; HS024537.
Citation: Yang Y, Bass EJ, Sockolow PS .
Knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization.
AMIA Annu Symp Proc 2018 Dec 5;2018:1127-36..
Keywords: Home Healthcare, Shared Decision Making, Health Information Technology (HIT), Data
Dowding DW, Russell D, Onorato N
Technology solutions to support care continuity in home care: a focus group study.
The purpose of this study was to explore perceptions among home care clinicians of the barriers they face and the information they need to improve care continuity for patients with heart failure. The study highlighted areas of improvement for health information technology solutions that could support care delivery for patients with heart failure in a home care setting.
AHRQ-funded; HS023855.
Citation: Dowding DW, Russell D, Onorato N .
Technology solutions to support care continuity in home care: a focus group study.
J Healthc Qual 2018 Jul/Aug;40(4):236-46. doi: 10.1097/jhq.0000000000000104..
Keywords: Healthcare Delivery, Health Information Technology (HIT), Heart Disease and Health, Home Healthcare, Quality Improvement
Berridge C
Medicaid becomes the first third-party payer to cover passive remote monitoring for home care: policy analysis.
This study examined passive remote monitoring technologies in state Medicaid programs. Its goals were to identify which states allowed location tracking, sensor systems, and cameras, what policies were in place to track usage, what implementation processes and program monitoring mechanisms were in place, and what related insights Medicaid program stakeholders would like to learn. Interviews were conducted with state, federal, and managed care organization (MCO) Medicaid program stakeholders about the use of these technologies in state waivers that served community-dwelling older adults in 15 states. While two-thirds of the states covered location tracking and activity-monitoring sensors and one-third covered cameras, only 3 states had specific service categories that allowed tracking of when they pay for these technologies. The authors conclude that technologies that have great potential to alter the way older adults receive supportive services are often used without research on their use, social or ethical implications, or outcomes. New service categories are needed to enable oversight, and more interaction between policymakers and researchers in this field would aid in the prioritization of research aims to inform practice.
AHRQ-funded; HS000011.
Citation: Berridge C .
Medicaid becomes the first third-party payer to cover passive remote monitoring for home care: policy analysis.
J Med Internet Res 2018 Feb 21;20(2):e66. doi: 10.2196/jmir.9650..
Keywords: Elderly, Health Information Technology (HIT), Health Insurance, Healthcare Delivery, Home Healthcare, Medicaid, Policy