Firma |
Target Population |
Use of Data |
Value of Exercise |
Firm A |
Members served by providers in
their system that do not report race and ethnic data. |
The geocoded data rate of African
Americans was far below that in reported data. The results were therefore
disappointing and not used. |
The limited usefulness of geocoding
reinforced the firm's previous commitment to begin collecting primary
race/ethnic data for all members. |
Firm B |
Managed care members with diabetes
and later other conditions (about 25 percent of membership). |
Developed HEDIS indicators for 2003
and 2004. Efforts will be continued using 2005 HEDIS data with firm's
purchased software. |
Confirmed that existing approaches
were similar to those of other firms. Results helped to identify and target
specific areas of disparities. |
Firm C |
Diabetes and AMI members for a
subset of health plans. |
Results were analyzed and presented
to firm leadership. |
Staff say findings reinforced the
value of work in this area among some key staff. |
Firm D |
Adult commercial members in the
CAHPS sample frame for their largest state (n=450,000).
Selected Medicare and Medicaid
members. |
Data used for analysis of a diverse
range of HEDIS indicators over time. Firm has 2004 and 2005 data and plans
to analyze 2006 HEDIS indicators. |
Results led to an intervention
aimed at improving eye exams for Hispanic diabetic members, focusing on
practices identified in geocoding and surname analysis. |
Firm E |
Sample of members with chronic
disease across regions (n=335,000). |
Examined HEDIS indicators on
diabetes management for four racial/ethnic groups. Focused especially on
differences in outcomes in the region where firm is developing an
intervention. Firm is continuing to pursue geocoding and may, in one region,
expand it to other providers. |
Results were to be used in
identifying disparities until more self-identified race/ethnic data are
captured via the electronic health record. Results also were to provide a
baseline for pilot interventions. |
Firm F |
16,000 diabetic members of disease
management programs. |
Analyzed results to distinguish
socioeconomic from racial influences on process and outcome measures related
to diabetes and presented these to management. |
Results focused the firm and put
disparities on its radar screen. Led to a number of interventions, as well
as collection of member reported data on race and ethnicity. |
Firm G |
All members known to be eligible
for disease management programs (2 million); more intensive analysis in a
single geographical area. |
Results were not sufficiently
targeted to support the intended member-specific outreach. Data are being
reanalyzed to identify "hot spots" for geographically based pilots. |
Staff formed an ad hoc working
group to coordinate analyses and use them in structuring interventions. |