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Investigation of the international comparability of population-based routine hospital data set derived comorbidity scores for patients with lung cancer.
Lüchtenborg, Margreet; Morris, Eva J A; Tataru, Daniela; Coupland, Victoria H; Smith, Andrew; Milne, Roger L; Te Marvelde, Luc; Baker, Deborah; Young, Jane; Turner, Donna; Nishri, Diane; Earle, Craig; Shack, Lorraine; Gavin, Anna; Fitzpatrick, Deirdre; Donnelly, Conan; Lin, Yulan; Møller, Bjørn; Brewster, David H; Deas, Andrew; Huws, Dyfed W; White, Ceri; Warlow, Janet; Rashbass, Jem; Peake, Michael D.
Afiliação
  • Lüchtenborg M; National Cancer Registration and Analysis Service, Skipton House, Public Health England, London, UK.
  • Morris EJA; Department of Cancer Epidemiology, Population and Global Health, Division of Cancer Studies, Faculty of Life Sciences & Medicine, King's College London, London, UK.
  • Tataru D; Cancer Epidemiology Group, Leeds Institute of Data Analytics, University of Leeds, LS2 9JT, Leeds, UK.
  • Coupland VH; National Cancer Registration and Analysis Service, Skipton House, Public Health England, London, UK.
  • Smith A; National Cancer Registration and Analysis Service, Skipton House, Public Health England, London, UK.
  • Milne RL; National Cancer Registration and Analysis Service, Skipton House, Public Health England, London, UK.
  • Te Marvelde L; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Baker D; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Young J; Cancer Institute New South Wales, Sydney, New South Wales, Australia.
  • Turner D; University of Sydney, Sydney, New South Wales, Australia.
  • Nishri D; Cancer Care Manitoba, Winnipeg, Manitoba, Canada.
  • Earle C; Cancer Care Ontario, Toronto, Ontario, Canada.
  • Shack L; Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Gavin A; Cancer Control Alberta, Alberta Health Services, Calgary, Alberta, Canada.
  • Fitzpatrick D; Northern Ireland Cancer Registry, Centre for Public Health Medicine, Queen's University Belfast, Belfast, UK.
  • Donnelly C; Northern Ireland Cancer Registry, Centre for Public Health Medicine, Queen's University Belfast, Belfast, UK.
  • Lin Y; Northern Ireland Cancer Registry, Centre for Public Health Medicine, Queen's University Belfast, Belfast, UK.
  • Møller B; Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
  • Brewster DH; Cancer Registry of Norway, Oslo, Norway.
  • Deas A; Scottish Cancer Registry, Public Health & Intelligence Unit of NHS National Services Scotland, Edinburgh, UK.
  • Huws DW; Scottish Cancer Registry, Public Health & Intelligence Unit of NHS National Services Scotland, Edinburgh, UK.
  • White C; Welsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK.
  • Warlow J; Welsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK.
  • Rashbass J; Welsh Cancer Intelligence and Surveillance Unit, Public Health Wales, Cardiff, UK.
  • Peake MD; National Cancer Registration and Analysis Service, Skipton House, Public Health England, London, UK.
Thorax ; 73(4): 339-349, 2018 04.
Article em En | MEDLINE | ID: mdl-29079609
ABSTRACT

INTRODUCTION:

The International Cancer Benchmarking Partnership (ICBP) identified significant international differences in lung cancer survival. Differing levels of comorbid disease across ICBP countries has been suggested as a potential explanation of this variation but, to date, no studies have quantified its impact. This study investigated whether comparable, robust comorbidity scores can be derived from the different routine population-based cancer data sets available in the ICBP jurisdictions and, if so, use them to quantify international variation in comorbidity and determine its influence on outcome.

METHODS:

Linked population-based lung cancer registry and hospital discharge data sets were acquired from nine ICBP jurisdictions in Australia, Canada, Norway and the UK providing a study population of 233 981 individuals. For each person in this cohort Charlson, Elixhauser and inpatient bed day Comorbidity Scores were derived relating to the 4-36 months prior to their lung cancer diagnosis. The scores were then compared to assess their validity and feasibility of use in international survival comparisons.

RESULTS:

It was feasible to generate the three comorbidity scores for each jurisdiction, which were found to have good content, face and concurrent validity. Predictive validity was limited and there was evidence that the reliability was questionable.

CONCLUSION:

The results presented here indicate that interjurisdictional comparability of recorded comorbidity was limited due to probable differences in coding and hospital admission practices in each area. Before the contribution of comorbidity on international differences in cancer survival can be investigated an internationally harmonised comorbidity index is required.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hospitais / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: America do norte / Europa / Oceania Idioma: En Revista: Thorax Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hospitais / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: America do norte / Europa / Oceania Idioma: En Revista: Thorax Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido