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"We cobble together a storyline of system performance using a diversity of things": a qualitative study of perspectives on public health performance measurement in Canada.
O'Neill, Meghan; De Prophetis, Eric; Allin, Sara; Pinto, Andrew D; Smith, Robert W; Di Ruggiero, Erica; Schwartz, Robert; Pawa, Jasmine; Ammi, Mehdi; Rosella, Laura C.
Afiliação
  • O'Neill M; Population Health Analytics Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • De Prophetis E; Population Health Analytics Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Allin S; Institute for Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Pinto AD; North American Observatory on Health Systems and Policies, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Smith RW; Institute for Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Di Ruggiero E; Upstream Lab, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
  • Schwartz R; Division of Clinical Public Health, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Pawa J; Department of Family and Community Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
  • Ammi M; Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Rosella LC; Institute for Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Arch Public Health ; 80(1): 177, 2022 Jul 29.
Article em En | MEDLINE | ID: mdl-35906667
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article