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Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden
BACKGROUND: The Swedish healthcare is decentralised to 21 regions. Detailed information on all delivered care in the southernmost region, Skåne, is prospectively collected in the Skåne Healthcare Register (SHR). The data is updated daily and hence a good source for epidemiological studies. However,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244146/ https://www.ncbi.nlm.nih.gov/pubmed/34193086 http://dx.doi.org/10.1186/s12885-021-08481-5 |
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author | Shen, Qing Schelin, Maria E. C. Fang, Fang Jöud, Anna |
author_facet | Shen, Qing Schelin, Maria E. C. Fang, Fang Jöud, Anna |
author_sort | Shen, Qing |
collection | PubMed |
description | BACKGROUND: The Swedish healthcare is decentralised to 21 regions. Detailed information on all delivered care in the southernmost region, Skåne, is prospectively collected in the Skåne Healthcare Register (SHR). The data is updated daily and hence a good source for epidemiological studies. However, the diagnostic codes used to identify cancer patients in SHR have not yet been validated. METHODS: We conducted a validation study including 1,473,204 residents in Skåne region during 2005–2014, with at least one physical consultation in SHR. Newly diagnosed cancer from the Swedish Cancer Register was considered the ‘gold standard’ reference. We estimated the positive predictive value (PPV), sensitivity, and area under the curve (AUC) of a cancer diagnosis based on SHR by level of consultation, for any cancer, and for different cancer types. RESULTS: There were 61,693 cancers from the Swedish Cancer Register, and 87,650 cancers from SHR. The PPV of SHR-based diagnosis of any cancer was 63.76% (95% confidence interval (CI): 63.44–64.08%) with a sensitivity of 90.58% (95% CI: 90.35–90.81%). The AUC was 0.94, for any cancer. The measures of PPV, sensitivity and AUC varied across levels of care and were higher in specialized care than in primary care. The highest PPV was observed for specialist inpatient care in SHR (89.17, 95% CI 88.89–89.45%) whereas the highest sensitivity was observed for specialized outpatient care in SHR (86.39, 95%CI 86.12–86.66%). Robust validity was noted among most cancers, except for cancers of soft tissues, central nervous system and eye, and endocrine glands. CONCLUSIONS: Our study supports that SHR is a valid and robust healthcare register for cancer diagnosis, with varying validities across levels of care and cancer types. This makes SHR a useful data source for cancer epidemiological studies, especially because the data covers the entire cancer care pathways without time lags for further linkage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08481-5. |
format | Online Article Text |
id | pubmed-8244146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82441462021-06-30 Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden Shen, Qing Schelin, Maria E. C. Fang, Fang Jöud, Anna BMC Cancer Research Article BACKGROUND: The Swedish healthcare is decentralised to 21 regions. Detailed information on all delivered care in the southernmost region, Skåne, is prospectively collected in the Skåne Healthcare Register (SHR). The data is updated daily and hence a good source for epidemiological studies. However, the diagnostic codes used to identify cancer patients in SHR have not yet been validated. METHODS: We conducted a validation study including 1,473,204 residents in Skåne region during 2005–2014, with at least one physical consultation in SHR. Newly diagnosed cancer from the Swedish Cancer Register was considered the ‘gold standard’ reference. We estimated the positive predictive value (PPV), sensitivity, and area under the curve (AUC) of a cancer diagnosis based on SHR by level of consultation, for any cancer, and for different cancer types. RESULTS: There were 61,693 cancers from the Swedish Cancer Register, and 87,650 cancers from SHR. The PPV of SHR-based diagnosis of any cancer was 63.76% (95% confidence interval (CI): 63.44–64.08%) with a sensitivity of 90.58% (95% CI: 90.35–90.81%). The AUC was 0.94, for any cancer. The measures of PPV, sensitivity and AUC varied across levels of care and were higher in specialized care than in primary care. The highest PPV was observed for specialist inpatient care in SHR (89.17, 95% CI 88.89–89.45%) whereas the highest sensitivity was observed for specialized outpatient care in SHR (86.39, 95%CI 86.12–86.66%). Robust validity was noted among most cancers, except for cancers of soft tissues, central nervous system and eye, and endocrine glands. CONCLUSIONS: Our study supports that SHR is a valid and robust healthcare register for cancer diagnosis, with varying validities across levels of care and cancer types. This makes SHR a useful data source for cancer epidemiological studies, especially because the data covers the entire cancer care pathways without time lags for further linkage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08481-5. BioMed Central 2021-06-30 /pmc/articles/PMC8244146/ /pubmed/34193086 http://dx.doi.org/10.1186/s12885-021-08481-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Shen, Qing Schelin, Maria E. C. Fang, Fang Jöud, Anna Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden |
title | Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden |
title_full | Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden |
title_fullStr | Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden |
title_full_unstemmed | Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden |
title_short | Diagnostic codes of cancer in Skåne healthcare register: a validation study using individual-level data in southern Sweden |
title_sort | diagnostic codes of cancer in skåne healthcare register: a validation study using individual-level data in southern sweden |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244146/ https://www.ncbi.nlm.nih.gov/pubmed/34193086 http://dx.doi.org/10.1186/s12885-021-08481-5 |
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