EPIDEMIOLOGY OF MYELOPROLIFERATIVE DISORDERS- REAL WORLD DATA STUDY IN BRAZIL

Author(s)

Picoli R1, Julian G2, Watanabe R1, Duva A2
1IQVIA, Ribeirão Preto, Brazil, 2IQVIA, São Paulo, Brazil

OBJECTIVES

Myelofibrosis (MF), Polycythemia Vera (PV) and Essential Thrombocythemia (ET) are 3 classic myeloproliferative neoplasms diseases. Real world studies are crucial to support decision-making process in health care in Brazil. The objective of this study was to estimate prevalence using real world data Brazil health insurance claims databases.

METHODS

Data was extracted from DATASUS database of patients with ICD D471 (Chronic myeloproliferative disease) treated from 2008 to 2017 and performed are cord-linkage of inpatient and out patient settings. Eligible patients were all with at least one claim of ICD D471 or D478 in out patient and/or in patient setting. Treatment regimens were then classified and, subsequently, treatment patterns and resource utilization data summarized using descriptive statistics.

RESULTS

Considering all diseases contained in ICD D471 (Chronic myeloproliferative disease), we could evaluate the progressive and gradual increase of number of patients affected. 2008: 1545 (Female: 57%), 2009: 1842 (Female: 56%), 2010: 2131 (Female: 56%), 2011: 2457 (Female: 55%), 2012: 2819 (Female: 55%), 2013: 3139 (Female: 56%), 2014: 3356 (Female: 57%), 2015: 3557 (Female: 57%), 2016:3707 (Female: 57%) and 2017: 4012 (Female: 56%).

CONCLUSIONS

This study presents some limitations due to its descriptive and retrospective characteristic, also, limited clinical information due to administrative data source usage. DATASUS is an important part of Brazilian health information system, and is a useful tool to support decision-making process in health care in Brazil.

Conference/Value in Health Info

2019-09, ISPOR Latin America 2019, Bogota, Colombia

Value in Health Regional, Volume 20S (October 2019)

Code

PNS23

Topic

Epidemiology & Public Health, Real World Data & Information Systems

Topic Subcategory

Health & Insurance Records Systems, Public Health

Disease

No Specific Disease

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