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Addressing
Racial and Ethnic Disparities in the Context of
Medicaid Managed Care: A Six-State Demonstration
Project
Conclusions
The
model being tested here is clearly generalizable
to other state Medicaid programs (at least to
those that have reasonably complete and accurate
race/ethnicity data and can provide that data
to plans in a format that allows for integration
with health plan membership files) and to Medicare+Choice
plans. State Medicaid programs were able to provide
data on race/ethnicity to managed care plans,
and with relatively few and minor exceptions,
plans were able to analyze HEDIS data and identify
disparities, organize QI projects to reduce or
eliminate disparities, and assess the effects
of those interventions. Some of the initiatives
were able to produce reductions in disparities
or improvements in quality for target minority
groups within one cycle of follow-up data analysis.
Based on early experience in the project, the
State of Michigan has already begun to expand
the project from the original three participating
plans to most of the managed care plans involved
in Medicaid.
This
approach may also serve as a model for the private
sector if employers are willing and able to provide
race/ethnicity data on employees to managed care
plans. If commercial health plans are able to
obtain data on members’ race/ethnicity directly
from members or through other means, then the
sequence of steps being followed in this project,
from initial data analysis, to identification
of disparities, to planning and implementing of
QI projects, to assessment of impact of those
projects, can be followed by commercial plans
just as easily as by public sector plans.
The
QI projects represented a diverse and interesting
mix of patient education, provider education or
reminder, disease management, and system improvement
interventions. Clinical target areas include diabetes
care, prenatal care, and well-child care. Health
plans and state Medicaid programs should find
useful ideas and models to follow as they organize
similar disparities initiatives.
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