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Published in: Journal of Medical Systems 1/2013

01-02-2013 | Original Paper

A Randomized Trial of Population-Based Clinical Decision Support to Manage Health and Resource Use for Medicaid Beneficiaries

Authors: David F. Lobach, Kensaku Kawamoto, Kevin J. Anstrom, Garry M. Silvey, Janese M. Willis, Fred S. Johnson, Rex Edwards, Jessica Simo, Pam Phillips, David R. Crosslin, Eric L. Eisenstein

Published in: Journal of Medical Systems | Issue 1/2013

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Abstract

To determine whether a clinical decision support system can favorably impact the delivery of emergency department and hospital services. Randomized clinical trial of three clinical decision support delivery modalities: email messages to care managers (email), printed reports to clinic administrators (report) and letters to patients (letter) conducted among 20,180 Medicaid beneficiaries in Durham County, North Carolina with follow-up through 9 months. Patients in the email group had fewer low-severity emergency department encounters vs. controls (8.1 vs. 10.6/100 enrollees, p < 0.001) with no increase in outpatient encounters or medical costs. Patients in the letter group had more outpatient encounters and greater outpatient and total medical costs. There were no treatment-related differences for patients in the reports group. Among patients <18 years, those in the email group had fewer low severity (7.6 vs. 10.6/100 enrollees, p < 0.001) and total emergency department encounters (18.3 vs. 23.5/100 enrollees, p < 0.001), and lower emergency department ($63 vs. $89, p = 0.002) and total medical costs ($1,736 vs. $2,207, p = 0.009). Patients who were ≥18 years in the letter group had greater outpatient medical costs. There were no intervention-related differences in patient-reported assessments of quality of life and medical care received. The effectiveness of clinical decision support messaging depended upon the delivery modality and patient age. Health IT interventions must be carefully evaluated to ensure that the resultant outcomes are aligned with expectations as interventions can have differing effects on clinical and economic outcomes.
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Metadata
Title
A Randomized Trial of Population-Based Clinical Decision Support to Manage Health and Resource Use for Medicaid Beneficiaries
Authors
David F. Lobach
Kensaku Kawamoto
Kevin J. Anstrom
Garry M. Silvey
Janese M. Willis
Fred S. Johnson
Rex Edwards
Jessica Simo
Pam Phillips
David R. Crosslin
Eric L. Eisenstein
Publication date
01-02-2013
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 1/2013
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-012-9922-3

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