Published on 01 January 2024

GBD AEMT USA 2019 DATASET

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Bhagavathula, Akshaya

Description


The GBD 2019 AEMT USA dataset forms a crucial component of the Global Burden of Disease (GBD) study, specifically focusing on the adverse effects of medical treatments (AEMT) within the United States. This comprehensive dataset aggregates and analyzes data from a wide range of sources, including hospital records, insurance claims, and national health surveys, to assess the incidence, outcomes, and healthcare implications associated with AEMT. The dataset utilizes International Classification of Diseases (ICD) codes to meticulously categorize and track health outcomes resulting from medical interventions, enabling researchers to quantify and analyze the burden of AEMT in terms of Disability-Adjusted Life Years (DALYs) lost. This detailed evaluation helps in identifying trends, assessing risk factors, and ultimately guiding healthcare policies to mitigate the adverse effects associated with medical treatments across diverse populations and healthcare settings within the U.S.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.1

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

Assigned Domain

Subfield

Plant Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

61%

Source

Open Alex

Keywords

Epidemiological methods

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00