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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.
Afiliação
  • 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 em 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Centros Médicos Acadêmicos / Fonte de Informação Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Centros Médicos Acadêmicos / Fonte de Informação Tipo de estudo: Observational_studies Limite: Humans Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article