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Sökning: WFRF:(Pavillon Gérard) > (2011) > Cause-specific mort...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004100naa a2200397 4500
001oai:DiVA.org:uu-148276
003SwePub
008110303s2011 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-1482762 URI
0247 a https://doi.org/10.1186/1478-7954-9-522 DOI
040 a (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Rey, Grégoireu INSERM, CépiDc, Le Vésinet, France4 aut
2451 0a Cause-specific mortality time series analysis :b a general method to detect and correct for abrupt data production changes
264 c 2011-09-19
264 1b Springer Science and Business Media LLC,c 2011
338 a electronic2 rdacarrier
520 a BACKGROUND:Monitoring the time course of mortality by cause is a key public health issue. However, several mortality data production changes may affect cause-specific time trends, thus altering the interpretation. This paper proposes a statistical method that detects abrupt changes ("jumps") and estimates correction factors that may be used for further analysis.METHODS:The method was applied to a subset of the AMIEHS (Avoidable Mortality in the European Union, toward better Indicators for the Effectiveness of Health Systems) project mortality database and considered for six European countries and 13 selected causes of deaths. For each country and cause of death, an automated jump detection method called Polydect was applied to the log mortality rate time series. The plausibility of a data production change associated with each detected jump was evaluated through literature search or feedback obtained from the national data producers.For each plausible jump position, the statistical significance of the between-age and between-gender jump amplitude heterogeneity was evaluated by means of a generalized additive regression model, and correction factors were deduced from the results.RESULTS:Forty-nine jumps were detected by the Polydect method from 1970 to 2005. Most of the detected jumps were found to be plausible. The age- and gender-specific amplitudes of the jumps were estimated when they were statistically heterogeneous, and they showed greater by-age heterogeneity than by-gender heterogeneity.CONCLUSION:The method presented in this paper was successfully applied to a large set of causes of death and countries. The method appears to be an alternative to bridge coding methods when the latter are not systematically implemented because they are time- and resource-consuming.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng
7001 a Aouba, Albertineu INSERM, CépiDc, Le Vésinet, France4 aut
7001 a Pavillon, Gérardu INSERM, CépiDc, Le Vésinet, France4 aut
7001 a Hoffmann, Rasmusu Erasmus MC, Department of Public Health, Rotterdam, The Netherlands4 aut
7001 a Plug, Irisu Erasmus MC, Department of Public Health, Rotterdam, The Netherlands4 aut
7001 a Westerling, Ragnaru Uppsala universitet,Socialmedicin,Socialmedicinsk epidemiologi4 aut0 (Swepub:uu)ragnwest
7001 a Eric, Jougla4 aut
7001 a Mackenbach, Johanu Erasmus MC, Department of Public Health, Rotterdam, The Netherlands4 aut
7102 a INSERM, CépiDc, Le Vésinet, Franceb Erasmus MC, Department of Public Health, Rotterdam, The Netherlands4 org
7730 t Population Health Metricsd : Springer Science and Business Media LLCg 9, s. 52-q 9<52-x 1478-7954
8564 u https://uu.diva-portal.org/smash/get/diva2:401755/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://pophealthmetrics.biomedcentral.com/track/pdf/10.1186/1478-7954-9-52
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148276
8564 8u https://doi.org/10.1186/1478-7954-9-52

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