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Comparative Merits of Available Mortality Data Sources for Clinical Research.
Sholle, Evan T; Davila, Marcos A; Kostka, Kristin; Abedian, Sajjad; Cusick, Marika; Krichevsky, Spencer; Pathak, Jyotishman; Campion, Thomas R.
Affiliation
  • Sholle ET; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.
  • Davila MA; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.
  • Kostka K; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.
  • Abedian S; IQVIA, Durham, NC.
  • Cusick M; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.
  • Krichevsky S; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY.
  • Pathak J; Stanford University, Stanford, CA.
  • Campion TR; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.
AMIA Annu Symp Proc ; 2023: 634-640, 2023.
Article in En | MEDLINE | ID: mdl-38222379
ABSTRACT
Obtaining reliable data on patient mortality is a critical challenge facing observational researchers seeking to conduct studies using real-world data. As these analyses are conducted more broadly using newly-available sources of real-world evidence, missing data can serve as a rate-limiting factor. We conducted a comparison of mortality data sources from different stakeholder perspectives - academic medical center (AMC) informatics service providers, AMC research coordinators, industry analytics professionals, and academics - to understand the strengths and limitations of differing mortality data sources locally generated data from sites conducting research, data provided by governmental sources, and commercially available data sets. Researchers seeking to conduct observational studies using extant data should consider these factors in sourcing outcomes data for their populations of interest.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Academic Medical Centers / Information Sources Type of study: Observational_studies Limits: Humans Language: En Journal: AMIA Annu Symp Proc Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Academic Medical Centers / Information Sources Type of study: Observational_studies Limits: Humans Language: En Journal: AMIA Annu Symp Proc Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article