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Problems with evidence assessment in COVID-19 health policy impact evaluation: a systematic review of study design and evidence strength.
Haber, Noah A; Clarke-Deelder, Emma; Feller, Avi; Smith, Emily R; Salomon, Joshua A; MacCormack-Gelles, Benjamin; Stone, Elizabeth M; Bolster-Foucault, Clara; Daw, Jamie R; Hatfield, Laura Anne; Fry, Carrie E; Boyer, Christopher B; Ben-Michael, Eli; Joyce, Caroline M; Linas, Beth S; Schmid, Ian; Au, Eric H; Wieten, Sarah E; Jarrett, Brooke; Axfors, Cathrine; Nguyen, Van Thu; Griffin, Beth Ann; Bilinski, Alyssa; Stuart, Elizabeth A.
Afiliación
  • Haber NA; Meta Research Innovation Center at Stanford University (METRICS), Stanford University, Stanford, California, USA noahhaber@stanford.edu.
  • Clarke-Deelder E; Department of Global Health and Population, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
  • Feller A; Department of Statistics, Goldman School of Public Policy, University of California Berkeley, Berkeley, California, USA.
  • Smith ER; Department of Global Health, George Washington University School of Public Health and Health Services, Washington, District of Columbia, USA.
  • Salomon JA; Department of Health Policy, Stanford University, Stanford, CA, USA.
  • MacCormack-Gelles B; Department of Global Health and Population, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
  • Stone EM; Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Bolster-Foucault C; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec, Canada.
  • Daw JR; Health Policy and Management, Columbia University Mailman School of Public Health, New York, New York, USA.
  • Hatfield LA; Department of Biostatistics, Harvard Medical School, Boston, Massachusetts, USA.
  • Fry CE; Department of Health Policy, Vanderbilt University, Nashville, Tennessee, USA.
  • Boyer CB; Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
  • Ben-Michael E; Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
  • Joyce CM; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec, Canada.
  • Linas BS; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Schmid I; Center for Applied Public Health and Research, RTI International, Washington, DC, USA.
  • Au EH; Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Wieten SE; School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Jarrett B; Meta Research Innovation Center at Stanford University (METRICS), Stanford University, Stanford, California, USA.
  • Axfors C; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Nguyen VT; Meta Research Innovation Center at Stanford University (METRICS), Stanford University, Stanford, California, USA.
  • Griffin BA; Meta Research Innovation Center at Stanford University (METRICS), Stanford University, Stanford, California, USA.
  • Bilinski A; RAND Corp, Santa Monica, California, USA.
  • Stuart EA; Interfaculty Initiative in Health Policy, Harvard University Graduate School of Arts and Sciences, Cambridge, Massachusetts, USA.
BMJ Open ; 12(1): e053820, 2022 01 11.
Article en En | MEDLINE | ID: mdl-35017250
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Evaluation_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: BMJ Open Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Evaluation_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: BMJ Open Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos