61
SANOFI / MANAGED CARE DIGEST SERIES
®
/ WHERE INFORMATION BECOMES INTELLIGENCE.
HOSPITALS/SYSTEMS DIGEST 2013
DISEASE state
ICD-9 CODES
Acute Coronary Syndromes
411.1
Angina
413
Asthma
493
Atrial Fibrillation/Atrial Flutter
427.3
Breast Cancer
174.0, 174.1, 174.2, 174.3, 174.4, 174.5, 174.6, 174.8, 174.9, 238.3, 239.3
Depression
296
Diabetes Mellitus
250
Hypertension
401.9
Multiple Sclerosis
340
Osteoarthritis
715.16, 715.26, 715.36, 715.96
Prostate Cancer
185
Stroke
433, 434
RESEARCH METHODOLOGY
RESEARCH METHODOLOGY
Patient Claims
Patient-level, chronic disease-specific claims data
derive from the
Managed Care Digest Series
®
Local
Trends Summary™ database. These data come
from health care professional and institutional
insurance claims, including all physician specialties
and all hospital types. IMS Health gathers
prescription activity from the National Council for
Prescription Drug Programs (NCPDP). These data
account for two billion prescription claims annually,
or more than 50% of the prescription universe.
National Retail Pharmacy Data
The prescription metrics on page 22 derive
from IMS Health’s Vector One
®
: Payer (VOPA)
platform. Through agreements with a variety of
data providers, the IMS Health data warehouse
receives billions of prescription claims per year.
VOPA is IMS Health’s projected prescription
and patient-centric database. The only
database of its kind, it provides projected retail
pharmacy prescription and longitudinal metrics
at various levels of aggregation, including
state, regional and national levels. IMS Health
uses a unique and patented algorithm
for de-identification of patients, ensuring
compliance with HIPAA regulations.
IMS Health uses projection territories aligned to
balance coverage proportional to prescribing
activity. These territories are stratified by
payment type and the sample is expanded
to the universe by strata, census division and
class of trade. IMS Health reconciles the results
to produce a single projection factor for each
claim. This factor is used to project prescriptions
and patients filling a prescription. Patient
counts will be unique at the focus diagnosis
level by gender, age and payer type (including
Medicare Part D). These factors are used to
project prescriptions and patients in each
territory. Regional and national projections
are created by rolling up from the prescriber
to the geographic area of interest. These
data are current as of midyear 2012, and are
trended over three years.
Download the complete methodology at
.
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