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Peter Vedsted

Identification of patients with incident cancers using administrative registry data

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Identification of patients with incident cancers using administrative registry data. / Larsen, Mette Bach; Jensen, Henry; Hansen, Rikke Pilegaard et al.

I: Danish Medical Journal, Bind 61, Nr. 2, A4777, 02.2014.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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@article{738c073971bb4feb91fefd3973bdfae9,
title = "Identification of patients with incident cancers using administrative registry data",
abstract = "INTRODUCTION: On-time identification of incident cancer patients is important in cancer research to ensure quality in cancer treatment and care. Nevertheless, the Danish Cancer Registry (DCR) is updated on an annual basis rather than continuously, and no standardised algorithm exists to enable sampling from administrative data which are updated on a monthly basis. The aim of this study was to develop and validate an algorithm for on-time sampling of incident cancer patients based on administrative data.MATERIAL AND METHODS: The study was based on registry and questionnaire data from incident cancer patients' general practitioners (GPs). An algorithm for on-time sampling of incident cancer patients was developed and validated in 2008 (12,747 patients) and further developed and validated in 2010 (7,996 patients). Questionnaire data from the GPs and data from the DCR were used as gold standards. The completeness over time of the 2010 cohort was evaluated.RESULTS: Further development of the 2008 algorithm into the 2010 algorithm increased its positive predictive value (PPV) to 95.0%. The PPV of a patient from the 2010 cohort being registered in the DCR was 97.4%. The 2010 algorithm displayed a completeness of 60% in the first month and 95% after four months.CONCLUSION: A valid and cost-saving algorithm for on-time sampling of incident cancer patients has been developed with great potential for research and quality assurance.FUNDING: This work was funded by the Danish Cancer Society and the Novo Nordisk Foundation.TRIAL REGISTRATION: not relevant.",
author = "Larsen, {Mette Bach} and Henry Jensen and Hansen, {Rikke Pilegaard} and Frede Olesen and Peter Vedsted",
year = "2014",
month = feb,
language = "English",
volume = "61",
journal = "Danish Medical Journal",
issn = "2245-1919",
publisher = "Den Almindelige Danske L{\ae}geforening",
number = "2",

}

RIS

TY - JOUR

T1 - Identification of patients with incident cancers using administrative registry data

AU - Larsen, Mette Bach

AU - Jensen, Henry

AU - Hansen, Rikke Pilegaard

AU - Olesen, Frede

AU - Vedsted, Peter

PY - 2014/2

Y1 - 2014/2

N2 - INTRODUCTION: On-time identification of incident cancer patients is important in cancer research to ensure quality in cancer treatment and care. Nevertheless, the Danish Cancer Registry (DCR) is updated on an annual basis rather than continuously, and no standardised algorithm exists to enable sampling from administrative data which are updated on a monthly basis. The aim of this study was to develop and validate an algorithm for on-time sampling of incident cancer patients based on administrative data.MATERIAL AND METHODS: The study was based on registry and questionnaire data from incident cancer patients' general practitioners (GPs). An algorithm for on-time sampling of incident cancer patients was developed and validated in 2008 (12,747 patients) and further developed and validated in 2010 (7,996 patients). Questionnaire data from the GPs and data from the DCR were used as gold standards. The completeness over time of the 2010 cohort was evaluated.RESULTS: Further development of the 2008 algorithm into the 2010 algorithm increased its positive predictive value (PPV) to 95.0%. The PPV of a patient from the 2010 cohort being registered in the DCR was 97.4%. The 2010 algorithm displayed a completeness of 60% in the first month and 95% after four months.CONCLUSION: A valid and cost-saving algorithm for on-time sampling of incident cancer patients has been developed with great potential for research and quality assurance.FUNDING: This work was funded by the Danish Cancer Society and the Novo Nordisk Foundation.TRIAL REGISTRATION: not relevant.

AB - INTRODUCTION: On-time identification of incident cancer patients is important in cancer research to ensure quality in cancer treatment and care. Nevertheless, the Danish Cancer Registry (DCR) is updated on an annual basis rather than continuously, and no standardised algorithm exists to enable sampling from administrative data which are updated on a monthly basis. The aim of this study was to develop and validate an algorithm for on-time sampling of incident cancer patients based on administrative data.MATERIAL AND METHODS: The study was based on registry and questionnaire data from incident cancer patients' general practitioners (GPs). An algorithm for on-time sampling of incident cancer patients was developed and validated in 2008 (12,747 patients) and further developed and validated in 2010 (7,996 patients). Questionnaire data from the GPs and data from the DCR were used as gold standards. The completeness over time of the 2010 cohort was evaluated.RESULTS: Further development of the 2008 algorithm into the 2010 algorithm increased its positive predictive value (PPV) to 95.0%. The PPV of a patient from the 2010 cohort being registered in the DCR was 97.4%. The 2010 algorithm displayed a completeness of 60% in the first month and 95% after four months.CONCLUSION: A valid and cost-saving algorithm for on-time sampling of incident cancer patients has been developed with great potential for research and quality assurance.FUNDING: This work was funded by the Danish Cancer Society and the Novo Nordisk Foundation.TRIAL REGISTRATION: not relevant.

M3 - Journal article

C2 - 24495885

VL - 61

JO - Danish Medical Journal

JF - Danish Medical Journal

SN - 2245-1919

IS - 2

M1 - A4777

ER -