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Mapping Canadian Data Assets to Generate Real-World Evidence: Lessons Learned from Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration's RWE Data Working Group.
Dai, Wei Fang; de Oliveira, Claire; Blommaert, Scott; Pataky, Reka E; Tran, David; Aurangzeb, Zeb; Kendell, Cynthia; Folkins, Chris; Somayaji, Chandy; Dowden, Jeff; Cheung, Winson; Strumpf, Erin; Beca, Jaclyn M; McClure, Carol; Urquhart, Robin; McDonald, James Ted; Alvi, Riaz; Turner, Donna; Peacock, Stuart; Denburg, Avram; Mercer, Rebecca E; Muñoz, Caroline; Parmar, Ambica; Tadrous, Mina; Takhar, Pam; Chan, Kelvin K W.
Afiliação
  • Dai WF; Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
  • de Oliveira C; Canadian Centre for Applied Research in Cancer Control, Canada.
  • Blommaert S; Centre for Health Economics and Hull York Medical School, University of York, York YO10 5DD, UK.
  • Pataky RE; ICES, Toronto, ON M4N 3M5, Canada.
  • Tran D; Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada.
  • Aurangzeb Z; Canadian Centre for Applied Research in Cancer Control, Canada.
  • Kendell C; BC Cancer, Vancouver, BC V5Z 1G1, Canada.
  • Folkins C; Saskatchewan Cancer Agency, Regina SK S4W 0G3, Canada.
  • Somayaji C; CancerCare Manitoba, Winnipeg, MB R3E 0V9, Canada.
  • Dowden J; Department of Community Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W3, Canada.
  • Cheung W; Department of Surgery, Dalhousie University, Halifax, NS B3H 2Y9, Canada.
  • Strumpf E; New Brunswick Institute for Research, Data and Training, University of New Brunswick, Fredericton, NB E3C 1N8, Canada.
  • Beca JM; New Brunswick Institute for Research, Data and Training, University of New Brunswick, Fredericton, NB E3C 1N8, Canada.
  • McClure C; Cancer Care Program, Eastern Health, St. John's, NL A1B 3V6, Canada.
  • Urquhart R; Department of Oncology, University of Calgary, Calgary, AB T2N 4N2, Canada.
  • McDonald JT; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC H3A 2T7, Canada.
  • Alvi R; Canadian Centre for Applied Research in Cancer Control, Canada.
  • Turner D; Ontario Health (CCO), Toronto, ON M5G 2L7, Canada.
  • Peacock S; Prince Edward Island Cancer Registry, Government of Prince Edward Island, Charlottetown, PE C1A 9L2, Canada.
  • Denburg A; Department of Surgery, Dalhousie University, Halifax, NS B3H 2Y9, Canada.
  • Mercer RE; New Brunswick Institute for Research, Data and Training, University of New Brunswick, Fredericton, NB E3C 1N8, Canada.
  • Muñoz C; Saskatchewan Cancer Agency, Regina SK S4W 0G3, Canada.
  • Parmar A; CancerCare Manitoba, Winnipeg, MB R3E 0V9, Canada.
  • Tadrous M; Canadian Centre for Applied Research in Cancer Control, Canada.
  • Takhar P; BC Cancer, Vancouver, BC V5Z 1G1, Canada.
  • Chan KKW; Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada.
  • On Behalf Of The CanREValue Collaboration; Canadian Centre for Applied Research in Cancer Control, Canada.
Curr Oncol ; 29(3): 2046-2063, 2022 03 17.
Article em En | MEDLINE | ID: mdl-35323365
Canadian provinces routinely collect patient-level data for administrative purposes. These real-world data (RWD) can be used to generate real-world evidence (RWE) to inform clinical care and healthcare policy. The CanREValue Collaboration is developing a framework for the use of RWE in cancer drug funding decisions. A Data Working Group (WG) was established to identify data assets across Canada for generating RWE of oncology drugs. The mapping exercise was conducted using an iterative scan with informant surveys and teleconference. Data experts from ten provinces convened for a total of three teleconferences and two in-person meetings from March 2018 to September 2019. Following each meeting, surveys were developed and shared with the data experts which focused on identifying databases and data elements, as well as a feasibility assessment of conducting RWE studies using existing data elements and resources. Survey responses were compiled into an interim data report, which was used for public stakeholder consultation. The feedback from the public consultation was used to update the interim data report. We found that databases required to conduct real-world studies are often held by multiple different data custodians. Ninety-seven databases were identified across Canada. Provinces held on average 9 distinct databases (range: 8-11). An Essential RWD Table was compiled that contains data elements that are necessary, at a minimal, to conduct an RWE study. An Expanded RWD Table that contains a more comprehensive list of potentially relevant data elements was also compiled and the availabilities of these data elements were mapped. While most provinces have data on patient demographics (e.g., age, sex) and cancer-related variables (e.g., morphology, topography), the availability and linkability of data on cancer treatment, clinical characteristics (e.g., morphology and topography), and drug costs vary among provinces. Based on current resources, data availability, and access processes, data experts in most provinces noted that more than 12 months would be required to complete an RWE study. The CanREValue Collaboration's Data WG identified key data holdings, access considerations, as well as gaps in oncology treatment-specific data. This data catalogue can be used to facilitate future oncology-specific RWE analyses across Canada.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article