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dc.contributor.authorHall, PS
dc.contributor.authorHamilton, P
dc.contributor.authorHulme, CT
dc.contributor.authorMeads, DM
dc.contributor.authorJones, H
dc.contributor.authorNewsham, A
dc.contributor.authorMarti, J
dc.contributor.authorSmith, AF
dc.contributor.authorMason, H
dc.contributor.authorVelikova, G
dc.contributor.authorAshley, L
dc.contributor.authorWright, P
dc.date.accessioned2018-09-25T10:32:47Z
dc.date.issued2015-01-20
dc.description.abstractBACKGROUND: The rising financial burden of cancer on health-care systems worldwide has led to the increased demand for evidence-based research on which to base reimbursement decisions. Economic evaluations are an integral component of this necessary research. Ascertainment of reliable health-care cost and quality-of-life estimates to inform such studies has historically been challenging, but recent advances in informatics in the United Kingdom provide new opportunities. METHODS: The costs of hospital care for breast, colorectal and prostate cancer disease-free survivors were calculated over 15 months from initial diagnosis of cancer using routinely collected data within a UK National Health Service (NHS) Hospital Trust. Costs were linked at patient level to patient-reported outcomes and registry-derived sociodemographic factors. Predictors of cost and the relationship between costs and patient-reported utility were examined. RESULTS: The study population included 223 breast cancer patients, 145 colorectal and 104 prostate cancer patients. The mean 15-month cumulative health-care costs were £12 595 (95% CI £11 517-£13 722), £12 643 (£11 282-£14 102) and £3722 (£3263-£4208), per-patient respectively. The majority of costs occurred within the first 6 months from diagnosis. Clinical stage was the most important predictor of costs for all cancer types. EQ-5D score was predictive of costs in colorectal cancer but not in breast or prostate cancer. CONCLUSION: It is now possible to evaluate health-care cost using routine NHS data sets. Such methods can be utilised in future retrospective and prospective studies to efficiently collect economic data.en_GB
dc.description.sponsorshipThis work was funded by Macmillan Cancer Support.en_GB
dc.identifier.citationVol. 112, pp. 948 - 956en_GB
dc.identifier.doi10.1038/bjc.2014.644
dc.identifier.urihttp://hdl.handle.net/10871/34102
dc.language.isoenen_GB
dc.publisherSpringer Nature / Cancer Research UKen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/25602964en_GB
dc.rights© 2015 Cancer Research UK. This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/en_GB
dc.subjectAdulten_GB
dc.subjectAgeden_GB
dc.subjectAged, 80 and overen_GB
dc.subjectBreast Neoplasmsen_GB
dc.subjectColorectal Neoplasmsen_GB
dc.subjectDatabases, Factualen_GB
dc.subjectFemaleen_GB
dc.subjectHealth Statusen_GB
dc.subjectHospital Costsen_GB
dc.subjectHumansen_GB
dc.subjectMaleen_GB
dc.subjectMiddle Ageden_GB
dc.subjectProstatic Neoplasmsen_GB
dc.subjectSurvival Analysisen_GB
dc.subjectUnited Kingdomen_GB
dc.subjectYoung Adulten_GB
dc.titleCosts of cancer care for use in economic evaluation: a UK analysis of patient-level routine health system dataen_GB
dc.typeArticleen_GB
dc.date.available2018-09-25T10:32:47Z
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the final version of the article. Available from Springer Nature via the DOI in this record.en_GB
dc.identifier.journalBritish Journal of Canceren_GB


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