Methodology for DFW Diabetes Care Reports
Measures and measures specifications
The Partnership for Peak
Healthcare Performance (PPHP) Leadership Team chose measures
that are:
- Consistent, clearly defined, standardized and nationally
recognized and endorsed
- Could be calculated using
the available administrative claims data
The measures are:
- A1c testing
- LDL cholesterol testing
- Nephropathy testing or evidence
of treatment (includes ACE inhibitor/ARB therapy)
- Retinal exams (performed
by eye care professional)
All four measures, based
on calendar year claims data for the measurement year,
use the Healthcare Effectiveness Data and Information
Set (HEDIS) Technical specifications related to that measurement
year. The measurement year is defined as the calendar
year preceding the report year (for example, calendar
year 2008 is the measurement year for data reported in
December, 2009; note that baseline data for 2007 was reported
in May, 2009).
Results for each measure
are calculated as a ratio:
| # of qualifying patients who received
the service, based on claims data |
 |
all eligible patients who should have
received a particular service |
For each physician, health
plans determine which patients should be included in the
ratio using the HEDIS specifications for eligible diabetes
patients. Patient information is
aggregated by physician to ensure patient confidentiality
and sent by the health plans to Austin Provider Solutions
Inc. (APS), a third-party vendor contracted by the DFWBGH
to aggregate the data and generate physician reports.
In addition to the four process
measurements listed above, health plans capture A1c and
LDL lab values when they can be linked to the prescribing
physician. Lab values can be linked to physicians for
less than a third of the eligible diabetes patients. Although
these data are incomplete and cannot be considered reliable,
an average of available A1c and LDL values is calculated
for each physician as information only. As technology
for collecting these values improves, these data will
become more valuable to physicians for tracking diabetes
care management for their population of patients.
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Data used to construct measured results
The PPHP project combines calendar year commercial PPO and
POS administrative claims data from five commercial DFW health
plans (Aetna, Blue Cross Blue Shield of Texas, CIGNA, Humana
and UnitedHealthcare) to generate physician-level diabetes
care measures. (Note: Aetna's indemnity claims data was included
in the calendar year 2007 data reported May, 2009.) No hybrid
data (data including chart reviews) are used. Data used to
generate the measures include:
- Eligibility files
- Provider files
- Medical claims files
- Laboratory claims files
- Laboratory results
- Pharmacy claims files
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Identifying the eligible patient population
The eligible patient population is comprised of adult diabetes
patients with commercial PPO and POS plans administered or
offered by the five participating health plans. Eligible patients
meet the following criteria:
- Age 18 to 75 years as of Dec. 31 of the measurement year.
- Continuously enrolled with one health plan, with no more
than one gap in coverage of up to 45 days during the measurement
year.
- Identified as having diabetes through a diabetes diagnosis,
or evidence of insulin or oral hypoglycemics/antihyperglycemics
use during the measurement year or year prior.
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Assigning patients to physicians
The health plans assign patients to the physician who saw
the patient the most during the measurement year, so each
patient is assigned to just one physician. In the event of
a "tie" in the number of visits a patient has with two or
more physicians, the patient is assigned to the physician
with whom s/he has had the most recent visit.
Only physicians with practice specialties of endocrinology,
family practice, general practice and internal medicine are
included in the project. Many physicians have multiple specialty
designations across the commercial health plans. A single,
primary specialty is assigned to each.
The patient is assigned to just one physician because of
the Leadership Team's interest in promoting a "medical home"
model of patient care in which the physician the patient sees
most assumes a lead role in managing overall care.
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Constructing physician diabetes care results
After patients are assigned to physicians, patient data is
summarized at the physician level and submitted by the health
plans to APS for aggregation across the five health plans.
This produces a consolidated set of physician-level results
for each of the measures.
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Developing a master physician list
Part of the work of aggregating data from different health
plans involves matching providers across the five plans to
identify a single set of unique physicians. Given the absence
of a single, commonly used identifier for individual physicians,
the health plans provide tax ID numbers with three characters
of the provider's last name and two characters of the first
name appended. Each plan also provides any other commonly
used identifiers (i.e. Unique Physician Identification Number
and the new National Provider Identifier or NPI). APS developed
software to use all this information to test for a variety
of factors in determining physician matches and assigns its
own unique provider IDs for this study.
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Validating the results
The PPHP calculates and compares the overall physician averages
for each of the participating health plans, and compares the
overall regional average aggregated results to national benchmarks
to check for anomalies that could indicate problems in the
collection or aggregation methodology. Comparisons are made
to:
- Commercial HEDIS audit means for PPOs (NCQA)
- Commercial HEDIS 90th percentile for PPOs (NCQA)
Overall averages by health plan are also compared to each
other to look for outlying data that could indicate problems.
Additionally physician members of PPHP committees review their
own results for reasonableness.
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Limitations of using administrative claims data
PPHP acknowledges the limitations of using administrative
claims data for accurately calculating diabetes care measures.
For example, vision care services may not be captured because
claims were filed through vision care coverage instead of
the medical plan. Additionally, the measurements reflect not
just physician activity, but also patient adherence, health
plan design and claims coding. Still, the measurements from
this study will have value for physicians in several ways:
- Aggregating data across five health plans provides a larger
sample of patients and a broader, more statistically significant
view of the care a physician's diabetes patients receive.
- Consistent measurement criteria and methodology across
the five health plans provides meaningful comparisons of
individual physician results to the regional average.
- Comparing individual physician results among health plans
may show claims coding and processing differences that can
be corrected for more accurate data going forward.
Also, the PPHP and the health plans can use these data to
identify how different health plan benefit designs may affect
access to care, care management, and patient compliance.
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Physician reporting
The PPHP project is reporting all aggregated results to physicians
to share whatever information is available about their patients.
Reports were sent only to those physicians to whom 20 or more
eligible diabetes patients were assigned; fewer than 20 patients
is too small a sample for reliable reporting.
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Pilot testing of DFW Diabetes Care Reports
The PPHP worked closely with physicians to engage them in
the review and modification of the Diabetes Care Report that
would share results. Physicians served on the committee responsible
for design of the report, which was then approved by the Leadership
Team. Practicing physicians from all the PPHP committees were
asked to review and comment on their own results (including
report format, content, and data validity). The PPHP Physician
Advisory Council also reviewed report format, summary data
results and communications materials accompanying the reports.
The final report format and content incorporated feedback
from all these groups.
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