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Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification
Many developing countries are experiencing the epidemiological transition, with the majority of deaths attributed to cardiovascular disease, cancer, Type 2 diabetes (T2DM) and others. In some countries, large proportional mortality attributed to diabetes is evident in official mortality statistics,...
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Published in: | BMC public health 2019-05, Vol.19 (1), p.481-481, Article 481 |
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description | Many developing countries are experiencing the epidemiological transition, with the majority of deaths attributed to cardiovascular disease, cancer, Type 2 diabetes (T2DM) and others. In some countries, large proportional mortality attributed to diabetes is evident in official mortality statistics, with Mauritius and Fiji rated as the highest in the world.
This study investigates trends in recorded diabetes and cardiovascular disease mortality in Mauritius and Fiji under coding from the International Classification of Diseases (ICD) versions 9 and 10, using mortality data reported from these countries to the World Health Organization (WHO).
In Mauritius over 1981-2004, T2DM proportional mortality varied between 4% and 7% in males (M) and 5% and 9% in females (F). In 2005 there was a sudden increase to M 20% and F 25%, which continued to M 25% and F 30% by 2012. Over 1981-2004 the proportion of circulatory disease mortality rose from 44% to 49% in males, and from 46% to 57% in females. In 2005, circulatory disease mortality proportions fell precipitously to 34% in males and 37% in females, and declined to 31% and 34% by 2013. ICD-10 coding was introduced in 2005. In Fiji, sharp rises in proportional T2DM mortality from 3% in both sexes in 2001 to M 15% and F 20% in 2002 were followed by more gradual trend increases to M 20% and F 26% by 2012-13. Circulatory disease proportions fell steeply from M 57% and F 53% in 2001 to M 44% and M 38% by 2004, with subsequent less steep declines to M 39% and F 30% by 2012. ICD-10 coding was introduced in 2001.
Large, abrupt changes in diabetes and circulatory disease proportional mortality in Fiji and Mauritius coincided with the local introduction of ICD-10 coding in different years. There is also evidence for diabetes-related misclassification of underlying cause of death in Australia and the USA. These artefacts can undermine accurate monitoring of cause of death for evaluation of effectiveness of prevention and control, especially of circulatory disease mortality which is demonstrably reversible in populations. |
doi_str_mv | 10.1186/s12889-019-6748-7 |
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This study investigates trends in recorded diabetes and cardiovascular disease mortality in Mauritius and Fiji under coding from the International Classification of Diseases (ICD) versions 9 and 10, using mortality data reported from these countries to the World Health Organization (WHO).
In Mauritius over 1981-2004, T2DM proportional mortality varied between 4% and 7% in males (M) and 5% and 9% in females (F). In 2005 there was a sudden increase to M 20% and F 25%, which continued to M 25% and F 30% by 2012. Over 1981-2004 the proportion of circulatory disease mortality rose from 44% to 49% in males, and from 46% to 57% in females. In 2005, circulatory disease mortality proportions fell precipitously to 34% in males and 37% in females, and declined to 31% and 34% by 2013. ICD-10 coding was introduced in 2005. In Fiji, sharp rises in proportional T2DM mortality from 3% in both sexes in 2001 to M 15% and F 20% in 2002 were followed by more gradual trend increases to M 20% and F 26% by 2012-13. Circulatory disease proportions fell steeply from M 57% and F 53% in 2001 to M 44% and M 38% by 2004, with subsequent less steep declines to M 39% and F 30% by 2012. ICD-10 coding was introduced in 2001.
Large, abrupt changes in diabetes and circulatory disease proportional mortality in Fiji and Mauritius coincided with the local introduction of ICD-10 coding in different years. There is also evidence for diabetes-related misclassification of underlying cause of death in Australia and the USA. These artefacts can undermine accurate monitoring of cause of death for evaluation of effectiveness of prevention and control, especially of circulatory disease mortality which is demonstrably reversible in populations.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-019-6748-7</identifier><identifier>PMID: 31046741</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Aged ; Artefacts ; Australia ; Cancer ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - mortality ; Cause of Death ; Certification ; Certification - standards ; Coding ; Death Certificates ; Developing countries ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - mortality ; Disease control ; Epidemiology ; Female ; Females ; Fiji ; Forecasts and trends ; Forms and Records Control - standards ; Health ; Humans ; Hypertension ; ICD coding ; International Classification of Diseases - standards ; LDCs ; Life expectancy ; Male ; Males ; Mauritius ; Metabolic disorders ; Middle Aged ; Mortality ; Patient outcomes ; Public health ; Registries ; Trends ; Type 2 diabetes ; Websites ; World Health Organization</subject><ispartof>BMC public health, 2019-05, Vol.19 (1), p.481-481, Article 481</ispartof><rights>COPYRIGHT 2019 BioMed Central Ltd.</rights><rights>2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c521t-4e6fc0bf5f6f27925571b6f9bbed7d0308206e64ba9d8786bee9d260270a39ae3</citedby><cites>FETCH-LOGICAL-c521t-4e6fc0bf5f6f27925571b6f9bbed7d0308206e64ba9d8786bee9d260270a39ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6498492/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2227357599?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31046741$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Morrell, Stephen</creatorcontrib><creatorcontrib>Taylor, Richard</creatorcontrib><creatorcontrib>Nand, Devina</creatorcontrib><creatorcontrib>Rao, Chalapati</creatorcontrib><title>Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Many developing countries are experiencing the epidemiological transition, with the majority of deaths attributed to cardiovascular disease, cancer, Type 2 diabetes (T2DM) and others. In some countries, large proportional mortality attributed to diabetes is evident in official mortality statistics, with Mauritius and Fiji rated as the highest in the world.
This study investigates trends in recorded diabetes and cardiovascular disease mortality in Mauritius and Fiji under coding from the International Classification of Diseases (ICD) versions 9 and 10, using mortality data reported from these countries to the World Health Organization (WHO).
In Mauritius over 1981-2004, T2DM proportional mortality varied between 4% and 7% in males (M) and 5% and 9% in females (F). In 2005 there was a sudden increase to M 20% and F 25%, which continued to M 25% and F 30% by 2012. Over 1981-2004 the proportion of circulatory disease mortality rose from 44% to 49% in males, and from 46% to 57% in females. In 2005, circulatory disease mortality proportions fell precipitously to 34% in males and 37% in females, and declined to 31% and 34% by 2013. ICD-10 coding was introduced in 2005. In Fiji, sharp rises in proportional T2DM mortality from 3% in both sexes in 2001 to M 15% and F 20% in 2002 were followed by more gradual trend increases to M 20% and F 26% by 2012-13. Circulatory disease proportions fell steeply from M 57% and F 53% in 2001 to M 44% and M 38% by 2004, with subsequent less steep declines to M 39% and F 30% by 2012. ICD-10 coding was introduced in 2001.
Large, abrupt changes in diabetes and circulatory disease proportional mortality in Fiji and Mauritius coincided with the local introduction of ICD-10 coding in different years. There is also evidence for diabetes-related misclassification of underlying cause of death in Australia and the USA. These artefacts can undermine accurate monitoring of cause of death for evaluation of effectiveness of prevention and control, especially of circulatory disease mortality which is demonstrably reversible in populations.</description><subject>Aged</subject><subject>Artefacts</subject><subject>Australia</subject><subject>Cancer</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cause of Death</subject><subject>Certification</subject><subject>Certification - standards</subject><subject>Coding</subject><subject>Death Certificates</subject><subject>Developing countries</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - mortality</subject><subject>Disease control</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Females</subject><subject>Fiji</subject><subject>Forecasts and trends</subject><subject>Forms and Records Control - standards</subject><subject>Health</subject><subject>Humans</subject><subject>Hypertension</subject><subject>ICD coding</subject><subject>International Classification of Diseases - standards</subject><subject>LDCs</subject><subject>Life expectancy</subject><subject>Male</subject><subject>Males</subject><subject>Mauritius</subject><subject>Metabolic disorders</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Patient outcomes</subject><subject>Public health</subject><subject>Registries</subject><subject>Trends</subject><subject>Type 2 diabetes</subject><subject>Websites</subject><subject>World Health Organization</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1v1DAQhiMEoqXwA7igSFy4BGzHnxyQqhWFSkVc4Gz5Y7z1KhsvdlJpfwN_GqcppeXkkeeZd2Y0b9O8xug9xpJ_KJhIqTqEVccFlZ140pxiKnBHKJNPH8QnzYtSdghhIRl53pz0GNFagU-b35trM26htHFsDzkdUp5iGs3Q7mtkhjgd25DTvvXRWJgqZ0bfupjdPJgp5WNNFDAFlvpvZs5xivMKXcRd_NgeUinRDtBCCOCm0qbQuuTjuF2VoPYL0Zml68vmWTBDgVd371nz8-Lzj83X7ur7l8vN-VXnGMFTR4EHh2xggQciFGFMYMuDsha88KhHkiAOnFqjvBSSWwDlCUdEINMrA_1Zc7nq-mR2-pDj3uSjTibq24-Ut9rUsdwAmklqkeKgpHTUYy6Z41IgzIjvwapQtT6tWofZ7sE7GKdshkeijzNjvNbbdKM5VZIqUgXe3Qnk9GuGMul9LA6GwYyQ5qIJIZXiQoqKvv0P3aU512PdUqJngin1j9qaukAcQ6p93SKqz5nkjCJCUaXwSrlcL5Qh3I-MkV7MpVdz6WouvZhLL_3fPNz1vuKvm_o_Di_L8g</recordid><startdate>20190502</startdate><enddate>20190502</enddate><creator>Morrell, Stephen</creator><creator>Taylor, Richard</creator><creator>Nand, Devina</creator><creator>Rao, Chalapati</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20190502</creationdate><title>Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification</title><author>Morrell, Stephen ; Taylor, Richard ; Nand, Devina ; Rao, Chalapati</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c521t-4e6fc0bf5f6f27925571b6f9bbed7d0308206e64ba9d8786bee9d260270a39ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Artefacts</topic><topic>Australia</topic><topic>Cancer</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cause of Death</topic><topic>Certification</topic><topic>Certification - standards</topic><topic>Coding</topic><topic>Death Certificates</topic><topic>Developing countries</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - mortality</topic><topic>Disease control</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Females</topic><topic>Fiji</topic><topic>Forecasts and trends</topic><topic>Forms and Records Control - standards</topic><topic>Health</topic><topic>Humans</topic><topic>Hypertension</topic><topic>ICD coding</topic><topic>International Classification of Diseases - standards</topic><topic>LDCs</topic><topic>Life expectancy</topic><topic>Male</topic><topic>Males</topic><topic>Mauritius</topic><topic>Metabolic disorders</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Patient outcomes</topic><topic>Public health</topic><topic>Registries</topic><topic>Trends</topic><topic>Type 2 diabetes</topic><topic>Websites</topic><topic>World Health Organization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morrell, Stephen</creatorcontrib><creatorcontrib>Taylor, Richard</creatorcontrib><creatorcontrib>Nand, Devina</creatorcontrib><creatorcontrib>Rao, Chalapati</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morrell, Stephen</au><au>Taylor, Richard</au><au>Nand, Devina</au><au>Rao, Chalapati</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2019-05-02</date><risdate>2019</risdate><volume>19</volume><issue>1</issue><spage>481</spage><epage>481</epage><pages>481-481</pages><artnum>481</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Many developing countries are experiencing the epidemiological transition, with the majority of deaths attributed to cardiovascular disease, cancer, Type 2 diabetes (T2DM) and others. In some countries, large proportional mortality attributed to diabetes is evident in official mortality statistics, with Mauritius and Fiji rated as the highest in the world.
This study investigates trends in recorded diabetes and cardiovascular disease mortality in Mauritius and Fiji under coding from the International Classification of Diseases (ICD) versions 9 and 10, using mortality data reported from these countries to the World Health Organization (WHO).
In Mauritius over 1981-2004, T2DM proportional mortality varied between 4% and 7% in males (M) and 5% and 9% in females (F). In 2005 there was a sudden increase to M 20% and F 25%, which continued to M 25% and F 30% by 2012. Over 1981-2004 the proportion of circulatory disease mortality rose from 44% to 49% in males, and from 46% to 57% in females. In 2005, circulatory disease mortality proportions fell precipitously to 34% in males and 37% in females, and declined to 31% and 34% by 2013. ICD-10 coding was introduced in 2005. In Fiji, sharp rises in proportional T2DM mortality from 3% in both sexes in 2001 to M 15% and F 20% in 2002 were followed by more gradual trend increases to M 20% and F 26% by 2012-13. Circulatory disease proportions fell steeply from M 57% and F 53% in 2001 to M 44% and M 38% by 2004, with subsequent less steep declines to M 39% and F 30% by 2012. ICD-10 coding was introduced in 2001.
Large, abrupt changes in diabetes and circulatory disease proportional mortality in Fiji and Mauritius coincided with the local introduction of ICD-10 coding in different years. There is also evidence for diabetes-related misclassification of underlying cause of death in Australia and the USA. These artefacts can undermine accurate monitoring of cause of death for evaluation of effectiveness of prevention and control, especially of circulatory disease mortality which is demonstrably reversible in populations.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>31046741</pmid><doi>10.1186/s12889-019-6748-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Artefacts Australia Cancer Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - mortality Cause of Death Certification Certification - standards Coding Death Certificates Developing countries Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - mortality Disease control Epidemiology Female Females Fiji Forecasts and trends Forms and Records Control - standards Health Humans Hypertension ICD coding International Classification of Diseases - standards LDCs Life expectancy Male Males Mauritius Metabolic disorders Middle Aged Mortality Patient outcomes Public health Registries Trends Type 2 diabetes Websites World Health Organization |
title | Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification |
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