Datavant Research Portfolio

Datavant supports transparent research that utilizes real-world data in a privacy preserving manner. Below, we highlight research efforts that have used Datavant technology to link real-world data for the benefit of patients and the public good.

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The Hispanic Paradox in Patients With Liver Cirrhosis: Current Evidence from a Large Regional Retrospective Cohort Study

Kofi Atiemo, Nikhilesh R. Mazumder, Juan C. Caicedo, Daniel Ganger, Elisa Gordon, Samantha Montag, Haripriya Maddur, Lisa B. VanWagner, Satyender Goel, Abel Kho, Michael Abecassis, Lihui Zhao, and Daniela Ladner

Despite lower socioeconomic status, Hispanics in the United States have equal or higher survival rates compared to non-Hispanic whites (NHW). The authors attempted to understand whether this “Hispanic Paradox” applied to survival rates of liver cirrhosis. Using retrospective data from 20,121 patients in a Chicago-wide database linked together through Datavant technology, the researchers established that, controlling for age, sex, comorbidities, etiology of cirrhosis, and insurance status, Hispanics did indeed have higher survival rates than NHW.

Depressive Symptom Prevalence After Intracerebral Hemorrhage: A Multi-Center Study

Brandon A. Francis, Jennifer Beaumont, Matthew B. Maas, Eric M. Liotta, David Cella, Shyam Prabhakaran, Jane Holl, Abel Kho, and Andrew M. Naidech

Depressive symptoms in patients with intracerebral hemorrhage (ICH) are common and are associated with worse outcomes. However, those symptoms are often not accurately screened for or diagnosed. By linking together data from multiple EHR centers in Chicago, the researchers were able to see how often patients were treated for depressive symptoms; simultaneously, they performed depression screenings on study patients. After comparing the two data sets, the researchers concluded that depressive symptoms are significantly more common than the ICD codes or subsequent medical treatment would suggest.

A Novel Patient Recruitment Strategy: Patient Selection Directly From the Community Through Linkage to Clinical Data

Lindsay P. Zimmerman, Satyender Goel, Shazia Sathar, Charon E. Gladfelter, Alejandra Onate, Lindsey L. Kane, Shelly Sital, Jasmin Phua, Paris Davis, Helen Margellos-Anast, David O. Meltzer, Tamar S. Polonsky, Raj C. Shah, William E. Trick, Faraz S. Ahmad, and Abel N. Kho

This paper outlined a novel workflow for recruiting potential trial patients. Members of the community were identified, surveyed, and then assigned an encrypted and hashed identifier. Concurrently, data from a variety of hospitals was linked together at the patient level. Via the encrypted and hashed identifier, the investigators could connect data from the hospital systems to understand whether someone was eligible for the study. The method of recruitment was significantly more efficient than the typical process for most clinical trials.

Disease Outcomes and Care Fragmentation among Patients With Systemic Lupus Erythematosus

Theresa L. Walunas, Kathryn L. Jackson, Anh H. Chung, Karen A. Mancera-Cuevas, Daniel L. Erickson, Rosalind Ramsey-Goldman, and Abel Kho

By linking data across six different Chicago health institutions, the researchers were able to understand the extent to which patients with systemic lupus erythematosus (SLE) receive fragmented care and the impact of said care. In identifying 4,276 patients with SLE, 20 percent received care from more than 1 institution; those patients were more likely to have complications, including increased risk of infections, cardiovascular disease, and stroke.

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