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Assessing performance of ZCTA-level and Census Tract-level social and environmental risk factors in a model predicting hospital events.
Goetschius, Leigh G; Henderson, Morgan; Han, Fei; Mahmoudi, Dillon; Perman, Chad; Haft, Howard; Stockwell, Ian.
Afiliação
  • Goetschius LG; The Hilltop Institute at the University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA. Electronic address: lgoetschius@hilltop.umbc.edu.
  • Henderson M; The Hilltop Institute at the University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA; Department of Economics, College of Arts, Humanities, and Social Sciences, UMBC, Baltimore, MD, 21250, USA.
  • Han F; The Hilltop Institute at the University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA; Department of Computer Science and Electrical Engineering, College of Engineering and Information Technology, UMBC, Baltimore, MD, 21250, USA.
  • Mahmoudi D; Department of Geography and Environmental Systems, College of Arts, Humanities, and Social Sciences, UMBC, Baltimore, MD, USA.
  • Perman C; Program Management Office for the Maryland Primary Care Program, Maryland Department of Health, Baltimore, MD, USA.
  • Haft H; Program Management Office for the Maryland Primary Care Program, Maryland Department of Health, Baltimore, MD, USA.
  • Stockwell I; Department of Information Systems, College of Engineering and Information Technology, UMBC, Baltimore, MD, 21250, USA; Erickson School of Aging Studies, UMBC, Baltimore, MD, 21228, USA.
Soc Sci Med ; 326: 115943, 2023 06.
Article em En | MEDLINE | ID: mdl-37156187
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Medicare Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Aged / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Soc Sci Med Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Medicare Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Aged / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Soc Sci Med Ano de publicação: 2023 Tipo de documento: Article