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Using the IMEDS distributed database for epidemiological studies in type 2 diabetes mellitus.

Authors :
Huang TY
Rodriguez-Watson C
Wang T
Calhoun SR
Marshall J
Burk J
Nam YH
Mendelsohn AB
Jamal-Allial A
Greenlee RT
Selvan M
Pawloski PA
McMahill Walraven CN
Rai A
Toh S
Brown JS
Source :
BMJ open diabetes research & care [BMJ Open Diabetes Res Care] 2022 Dec; Vol. 10 (6).
Publication Year :
2022

Abstract

Introduction: This study aimed to assess data relevancy and data quality of the Innovation in Medical Evidence Development and Surveillance System Distributed Database (IMEDS-DD) for diabetes research and to evaluate comparability of its type 2 diabetes cohort to the general type 2 diabetes population.<br />Research Design and Methods: A retrospective study was conducted using the IMEDS-DD. Eligible members were adults with a medical encounter between April 1, 2018 and March 31, 2019 (index period). Type 2 diabetes and co-existing conditions were determined using all data available from April 1, 2016 to the most recent encounter within the index period. Type 2 diabetes patient characteristics, comorbidities and hemoglobin A <subscript>1c</subscript> (HbA <subscript>1c</subscript> ) values were summarized and compared with those reported in national benchmarks and literature.<br />Results: Type 2 diabetes prevalence was 12.6% in the IMEDS-DD. Of 4 14 672 patients with type 2 diabetes, 52.8% were male, and the mean age was 65.0 (SD 13.3) years. Common comorbidities included hypertension (84.5%), hyperlipidemia (82.8%), obesity (45.3%), and cardiovascular disease (44.7%). Moderate-to-severe chronic kidney disease was observed in 20.2% patients. The most commonly used antihyperglycemic agents included metformin (35.7%), sulfonylureas (14.8%), and insulin (9.9%). Less than one-half (48.9%) had an HbA <subscript>1c</subscript> value recorded. These findings demonstrated the notable similarity in patient characteristics between type 2 diabetes populations identified within the IMEDS-DD and other large databases.<br />Conclusions: Despite the limitations related to HbA <subscript>1c</subscript> data, our findings indicate that the IMEDS-DD contains robust information on key data elements to conduct pharmacoepidemiological studies in diabetes, including member demographic and clinical characteristics and health services utilization.<br />Competing Interests: Competing interests: TW and SRC are employees of Merck Sharp & Dohme, a subsidiary of Merck & Co, Inc, Rahway, New Jersey, USA, who may own stock and/or stock options in Merck & Co, Inc, Rahway, New Jersey, USA.<br /> (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Details

Language :
English
ISSN :
2052-4897
Volume :
10
Issue :
6
Database :
MEDLINE
Journal :
BMJ open diabetes research & care
Publication Type :
Academic Journal
Accession number :
36535702
Full Text :
https://doi.org/10.1136/bmjdrc-2022-002916