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Medicaid Managed Care - U.S. Senate Special Committee on Aging

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Encounter Data Analysis<br />

Shows Potential in Quality<br />

C<strong>on</strong>trol Applicati<strong>on</strong>s<br />

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Oreg<strong>on</strong> and Tennessee are experiencing collecti<strong>on</strong> and validati<strong>on</strong><br />

problems similar to those Ariz<strong>on</strong>a experienced initially. In each of these<br />

states, staff spent c<strong>on</strong>siderable time editing the data, working with health<br />

plans to overcome problems, working to resolve significant data reject and<br />

coding problems, and implementing validati<strong>on</strong> strategies. In Oreg<strong>on</strong> and<br />

Tennessee, relatively complete and usable data elements were not<br />

available until almost 2 years after enrollment begant. 5<br />

State use of encounter data in quality reviews is also limited to some<br />

extent by the lack of a recognized standard for what level of care is<br />

c<strong>on</strong>sidered appropriate for people with disabilities. In additi<strong>on</strong>, quality<br />

measures for chr<strong>on</strong>ic and disabling c<strong>on</strong>diti<strong>on</strong>s are just now being<br />

developed. Current federal and privately funded research and<br />

development in the field of quality analysis will provide states with more<br />

definitive criteria to use in their analyses.<br />

While assembling adequate databases is difficult and expensive, the effort<br />

can yield substantial results in terms of the ability to m<strong>on</strong>itor programs<br />

The types of studies that could be c<strong>on</strong>ducted using pers<strong>on</strong>-level encounter<br />

data include tracking patterns of services by health plan or eligibility<br />

group, identifying providers serving special needs populati<strong>on</strong>s, and<br />

tracking the movement of high-cost patients am<strong>on</strong>g health plans.<br />

Encounter data could also be analyzed to reveal patterns of under- or<br />

overutilizati<strong>on</strong>. Although linkig such patterns to quality of care in all<br />

cases is limited by the lack of recognized standards, patterns of service<br />

use can reveal access problems. For example, Ariz<strong>on</strong>a officials analyzed<br />

encounter data and found very low use of dental services am<strong>on</strong>g all<br />

beneficiaries. The access problem was resolved when state officials<br />

removed the requirement that beneficiaries receive a referral from their<br />

primary care provider before obtaining dental care.<br />

Encounter data for Oreg<strong>on</strong>'s disabled enrollees are just becoming<br />

available for analysis. 5 As a result, no studies are yet under way. However,<br />

state officials listed the following as possible uses for encounter data<br />

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