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Julie C Lowery

Dados Biográficos

ID4982351
NOMEJulie C Lowery
PRENOMESJulie C
SOBRENOMELowery
ASSINATURALOWERY J C
AFILIAÇÕESVA Ann Arbor Healthcare System
ORCID0000-0003-3973-7459
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO1998
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H0
  • The updated Consolidated Framework for Implementation Research based on user feedback

    Open Access•Laura J Damschroder, Caitlin M Reardon et al.•ARTICLE•Implementation Science•2022

  • Conceptualizing outcomes for use with the Consolidated Framework for Implementation Research (CFIR)

    Open Access•Laura J Damschroder, Caitlin M Reardon et al.•ARTICLE•Implementation Science•2022

  • Fostering implementation of health services research findings into practice

    Open Access•Laura J Damschroder, David C Aron et al.•ARTICLE•Implementation Science•2009

    BACKGROUND: Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many imple…

  • Comparison of Professional Judgment Versus an Algorithm for Nutrition Status Classification

    Julie C Lowery, Lynn D Hiller et al.•ARTICLE•Medical Care•1998•Referências: 29

    OBJECTIVES: The classification of a patient's nutrition status is important for identifying patients who require nutrition care, for designing effective nutrition interventions, and for measuring severity of illness. The objective of this study was to evaluate the reliability and validity of two variants of the Department of Veterans Affairs' nutrition status classification: professional judgment versus an algorithm. METHODS: The study consisted …

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  • Comparison of Professional Judgment Versus an Algorithm for Nutrition Status Classification

    Julie C Lowery, Lynn D Hiller et al.•ARTICLE•Medical Care•1998•Referências: 29

    OBJECTIVES: The classification of a patient's nutrition status is important for identifying patients who require nutrition care, for designing effective nutrition interventions, and for measuring severity of illness. The objective of this study was to evaluate the reliability and validity of two variants of the Department of Veterans Affairs' nutrition status classification: professional judgment versus an algorithm. METHODS: The study consisted …

  • Fostering implementation of health services research findings into practice

    Open Access•Laura J Damschroder, David C Aron et al.•ARTICLE•Implementation Science•2009

    BACKGROUND: Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many imple…

  • The updated Consolidated Framework for Implementation Research based on user feedback

    Open Access•Laura J Damschroder, Caitlin M Reardon et al.•ARTICLE•Implementation Science•2022

  • Conceptualizing outcomes for use with the Consolidated Framework for Implementation Research (CFIR)

    Open Access•Laura J Damschroder, Caitlin M Reardon et al.•ARTICLE•Implementation Science•2022

Computer Science (4 obras) · Medicine (4 obras) · Nursing (4 obras) · Health administration (3 obras) · Health Informatics (3 obras) · Health Policy Implementation Science (3 obras) · Implementation research (3 obras) · Psychological intervention (3 obras) · Public health (3 obras) · Conceptual framework (2 obras)

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