National Healthcare Quality and Disparities Report
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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.
Results
1 to 3 of 3 Research Studies DisplayedHuguet N, Kaufmann J, O'Malley J
Using electronic health records in longitudinal studies: estimating patient attrition.
This study’s objective was to estimate overall and among adults with diabetes or hypertension: 1) patient attrition over a 3-year period at community health centers; and 2) the likelihood that patients with Medicaid switched their primary care source. Data was collected from the retrospective cohort study of 2012-2017 claims data Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Data Research Network of community health centers. This study focused on Oregon Medicaid enrollees with a total of 232,891 patients aged 19-64 with a gap of 6 months or more following a claim for a visit billed to a primary care source. The authors theorized the reason was due to patients with Medicaid permanently changing their primary care source. They found that attrition over 3 years averaged 33.5% but patients with diabetes or hypertension was lower (25% or less). Among Medicaid patients the attrition rate 12% for community health center patients compared with 39% for single-provider practice patients.
AHRQ-funded; HS025962.
Citation: Huguet N, Kaufmann J, O'Malley J .
Using electronic health records in longitudinal studies: estimating patient attrition.
Med Care 2020 Jun;58(Suppl 1):S46-S52. doi: 10.1097/mlr.0000000000001298...
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Blood Pressure, Chronic Conditions, Primary Care, Medicaid
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
Lobach DF, Kawamoto K, Anstrom KJ
A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.
This study tested the impact of 3 clinical decision support modalities (emails to care managers, printed reports to clinic administrators, and letters to patients) on the use and cost of medical services for Medicaid patients. It found that some modalities can significantly reduce emergency department use and medical costs, while other interventions may have had detrimental consequences.
AHRQ-funded; HS015057
Citation: Lobach DF, Kawamoto K, Anstrom KJ .
A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.
J Med Syst. 2013 Feb;37(1):9922. doi: 10.1007/s10916-012-9922-3..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Medicaid, Emergency Medical Services (EMS), Quality of Care