Objectives: To identify a typology for high system users among a rural Medicaid population that could assist policy makers and providers in better and more efficiently serving this population.
Design And Sample: Exploratory secondary data analysis of a large integrated Medicaid database in a western state. Five hundred and thirty-nine Medicaid recipients receiving 2 or more state services and receiving 10 or more unique medications.
Measures: Data analysis examining health care use, medication use, and demographic characteristics using SAS to identify patterns of use of services in the population. Results were confirmed with a statewide sample of 2,287 Medicaid users.
Results: 3 characteristics-(1) use of 36 or more health care services in a year; (2) no gap in health care service use over the entire year; and (3) use of >12 health care services in 1 month-describe high-risk groups of Medicaid users.
Conclusions: Public health nurses, particularly as case managers and program planners, can look at service use patterns through client histories and their own agency records, in order to identify high-risk groups who may benefit the most from programs that address their support, education, and coordination of health care needs.
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http://dx.doi.org/10.1111/j.1525-1446.2009.00797.x | DOI Listing |
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