Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland
Background Increasingly Burden of Disease (BOD) measures are being used to influence policy decisions because they summarise health loss in an equitable manner. An important part of producing non-fatal BOD estimates are severity distributions (SDs). The Global Burden of Disease (GBD) study use the s...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Swansea University
2019-11-01
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Series: | International Journal of Population Data Science |
Online Access: | https://ijpds.org/article/view/1256 |
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author | Grant Wyper Ian Grant Eilidh Fletcher Gerry McCartney Diane Stockton |
author_facet | Grant Wyper Ian Grant Eilidh Fletcher Gerry McCartney Diane Stockton |
author_sort | Grant Wyper |
collection | DOAJ |
description | Background
Increasingly Burden of Disease (BOD) measures are being used to influence policy decisions because they summarise health loss in an equitable manner. An important part of producing non-fatal BOD estimates are severity distributions (SDs). The Global Burden of Disease (GBD) study use the same SDs across countries due to a lack of available data.
Aim
To develop and assess the impact of national SDs compared with GBD worldwide severity distributions for 21 cancer types.
Methods
Patient-level records from the Scottish Cancer Registry for 21 cancers were obtained and linked to death registrations. We estimated prevalent cancer cases for 2016 and assigned each case to one of four phases (diagnosis and treatment; controlled; metastatic; and terminal) using GBD 2016 study definitions. SDs were calculated by considering relative proportions. The impact of choice of SDs was evaluated by comparing relative differences between weighted-average disability weights (DW) derived using GBD 2016 worldwide SDs with those derived from Scottish SDs.
Results
For the majority of cancers the most prevalent phase was the controlled phase, which contributed a higher proportion than the combined proportion from the other three phases across all cancers except mesothelioma. Differences in the composition of severity meant that most point-estimates of Scottish severity proportions were out-with the 95% uncertainty intervals. These differences resulted in overestimates of weighted-average DWs based on GBD 2016 worldwide SDs (17 out of 21 cancer types). The largest relative overestimates were for gallbladder and biliary tract cancer, oesophageal cancer and pancreatic cancer (71%, 32% and 31% higher respectively).
Conclusion
These findings illustrate a systematic bias introduced by using worldwide SDs. Current non-fatal BOD estimates should not be interpreted too precisely when comparing populations when they rely on data inputs from other countries. It is essential to ensure that any estimates are based upon country-specific data as far as possible. |
first_indexed | 2024-03-09T09:04:26Z |
format | Article |
id | doaj.art-b9a9881d651c4f0691ae95d89feb6e61 |
institution | Directory Open Access Journal |
issn | 2399-4908 |
language | English |
last_indexed | 2024-03-09T09:04:26Z |
publishDate | 2019-11-01 |
publisher | Swansea University |
record_format | Article |
series | International Journal of Population Data Science |
spelling | doaj.art-b9a9881d651c4f0691ae95d89feb6e612023-12-02T10:44:25ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-11-014310.23889/ijpds.v4i3.1256Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in ScotlandGrant Wyper0Ian Grant1Eilidh Fletcher2Gerry McCartney3Diane Stockton4NHS Health ScotlandInformation Services Division ScotlandInformation Services Division ScotlandNHS Health ScotlandNHS Health ScotlandBackground Increasingly Burden of Disease (BOD) measures are being used to influence policy decisions because they summarise health loss in an equitable manner. An important part of producing non-fatal BOD estimates are severity distributions (SDs). The Global Burden of Disease (GBD) study use the same SDs across countries due to a lack of available data. Aim To develop and assess the impact of national SDs compared with GBD worldwide severity distributions for 21 cancer types. Methods Patient-level records from the Scottish Cancer Registry for 21 cancers were obtained and linked to death registrations. We estimated prevalent cancer cases for 2016 and assigned each case to one of four phases (diagnosis and treatment; controlled; metastatic; and terminal) using GBD 2016 study definitions. SDs were calculated by considering relative proportions. The impact of choice of SDs was evaluated by comparing relative differences between weighted-average disability weights (DW) derived using GBD 2016 worldwide SDs with those derived from Scottish SDs. Results For the majority of cancers the most prevalent phase was the controlled phase, which contributed a higher proportion than the combined proportion from the other three phases across all cancers except mesothelioma. Differences in the composition of severity meant that most point-estimates of Scottish severity proportions were out-with the 95% uncertainty intervals. These differences resulted in overestimates of weighted-average DWs based on GBD 2016 worldwide SDs (17 out of 21 cancer types). The largest relative overestimates were for gallbladder and biliary tract cancer, oesophageal cancer and pancreatic cancer (71%, 32% and 31% higher respectively). Conclusion These findings illustrate a systematic bias introduced by using worldwide SDs. Current non-fatal BOD estimates should not be interpreted too precisely when comparing populations when they rely on data inputs from other countries. It is essential to ensure that any estimates are based upon country-specific data as far as possible.https://ijpds.org/article/view/1256 |
spellingShingle | Grant Wyper Ian Grant Eilidh Fletcher Gerry McCartney Diane Stockton Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland International Journal of Population Data Science |
title | Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland |
title_full | Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland |
title_fullStr | Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland |
title_full_unstemmed | Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland |
title_short | Developing and evaluating national severity distributions for use in Burden of Disease studies: a case study of cancers in Scotland |
title_sort | developing and evaluating national severity distributions for use in burden of disease studies a case study of cancers in scotland |
url | https://ijpds.org/article/view/1256 |
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