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Evaluating the influence of data collector training for predictive risk of death models: an observational study.
Rajamani, Arvind; Huang, Stephen; Subramaniam, Ashwin; Thomson, Michele; Luo, Jinghang; Simpson, Andrew; McLean, Anthony; Aneman, Anders; Madapusi, Thodur Vinodh; Lakshmanan, Ramanathan; Flynn, Gordon; Poojara, Latesh; Gatward, Jonathan; Pusapati, Raju; Howard, Adam; Odlum, Debbie.
Afiliação
  • Rajamani A; Department of Intensive Care Medicine, The University of Sydney Nepean Clinical School, Kingswood, New South Wales, Australia rrarvind@hotmail.com.
  • Huang S; Department of Intensive Care Medicine, The University of Sydney Nepean Clinical School, Kingswood, New South Wales, Australia.
  • Subramaniam A; Department of Intensive Care Medicine, Peninsula Clinical School, Monash University, Frankston, Victoria, Australia.
  • Thomson M; Nepean Hospital, Penrith, New South Wales, Australia.
  • Luo J; Nepean Hospital, Penrith, New South Wales, Australia.
  • Simpson A; Nepean Hospital, Penrith, New South Wales, Australia.
  • McLean A; Department of Intensive Care Medicine, The University of Sydney Nepean Clinical School, Kingswood, New South Wales, Australia.
  • Aneman A; Liverpool Hospital, Liverpool, New South Wales, Australia.
  • Madapusi TV; Intensive Care Medicine, Maitland Hospital, Maitland, New South Wales, Australia.
  • Lakshmanan R; Fairfield Hospital, Fairfield, New South Wales, Australia.
  • Flynn G; Prince of Wales Hospital and Community Health Services, Randwick, New South Wales, Australia.
  • Poojara L; Blacktown Hospital, Blacktown, New South Wales, Australia.
  • Gatward J; The University of Sydney Northern Clinical School, Saint Leonards, New South Wales, Australia.
  • Pusapati R; Hervey Bay Hospital, Hervey Bay, Queensland, Australia.
  • Howard A; Royal Perth Hospital, Perth, Western Australia, Australia.
  • Odlum D; Nepean Hospital, Penrith, New South Wales, Australia.
BMJ Qual Saf ; 30(3): 202-207, 2021 03.
Article em En | MEDLINE | ID: mdl-32229628
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Unidades de Terapia Intensiva Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Oceania Idioma: En Revista: BMJ Qual Saf Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Unidades de Terapia Intensiva Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Oceania Idioma: En Revista: BMJ Qual Saf Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália