University of Cincinnati Researchers Describe New Findings in COVID-19 (A strategy to identify event specific hospitalizations in large health claims databases): Coronavirus – COVID-19

2022 JUN 13 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on COVID-19 are presented in a new report. According to news reporting from the University of Cincinnati by NewsRx journalists, research stated, “Health insurance claims data offer a unique opportunity to study disease distribution on a large scale. Challenges arise in the process of accurately analyzing these raw data.”

Financial supporters for this research include Nih Nlm.

Our news reporters obtained a quote from the research from University of Cincinnati: “One important challenge to overcome is the accurate classification of study outcomes. For example, using claims data, there is no clear way of classifying hospitalizations due to a specific event. This is because of the inherent disjointedness and lack of context that typically come with raw claims data. In this paper, we propose a framework for classifying hospitalizations due to a specific event. We then tested this framework in a private health insurance claims database (Symphony) with approximately 4 million US adults who tested positive with COVID-19 between March and December 2020. Our claims specific COVID-19 related hospitalizations proportion is then compared to nationally reported rates from the Centers for Disease Control by age. Across all ages (18 +) the total percentage of Symphony patients who met our definition of hospitalized due to COVID-19 was 7.3% which was similar to the CDC’s estimate of 7.5%. By age group, defined by the CDC, our estimates vs. the CDC’s estimates were 18-49: 2.7% vs. 3%, 50-64: 8.2% vs. 9.2%, and 65 +: 14.6% vs. 28.1%.”

According to the news editors, the research concluded: “The proposed methodology is a rigorous way to define event specific hospitalizations in claims data. This methodology can be extended to many different types of events and used on a variety of different types of claims databases.”

For more information on this research see: A strategy to identify event specific hospitalizations in large health claims databases. BMC Health Services Research, 2022,22(1):1-7. (BMC Health Services Research - http://bmchealthservres.biomedcentral.com). The publisher for BMC Health Services Research is BMC.

A free version of this journal article is available at https://doi.org/10.1186/s12913-022-08107-x.

Our news journalists report that more information may be obtained by contacting Joshua Lambert, College of Nursing, University of Cincinnati. Additional authors for this research include Harpal Sandhu, Emily Kean, Teenu Xavier, Aviv Brokman, Zachary Steckler, Lee Park, Arnold Stromberg.

(Our reports deliver fact-based news of research and discoveries from around the world.)