0368 Improving incidence rates of work-related ill-health calculated from general practice

IntroductionThe calculation of incidence rates of work-related ill-health (WRIH) is essential when assessing employment sectors at risk. The Health and Occupational Reporting network in General Practice (THOR-GP) collects information on WRIH from approximately 250 GPs. To calculate rates, GP numerat...

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Veröffentlicht in:Occupational and environmental medicine (London, England) England), 2017-08, Vol.74 (Suppl 1), p.A115
Hauptverfasser: Hussey, Louise, Gittins, Matthew, McNamee, Roseanne, Agius, Raymond
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container_issue Suppl 1
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container_title Occupational and environmental medicine (London, England)
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creator Hussey, Louise
Gittins, Matthew
McNamee, Roseanne
Agius, Raymond
description IntroductionThe calculation of incidence rates of work-related ill-health (WRIH) is essential when assessing employment sectors at risk. The Health and Occupational Reporting network in General Practice (THOR-GP) collects information on WRIH from approximately 250 GPs. To calculate rates, GP numerator data has to be divided by a compatible denominator.AimsTo formulate the best methods of determining incidence rates from THOR-GP dataMethodsThe THOR-GP denominator is the registered population of all participating GPs’ practices. Census data linked to practice postcodes were used to establish how the population was employed; practice list data were used to estimate the size of the population and adjusted for GP participation. Numerator data (incidence cases of WRIH) from 2006–2015 were adjusted for response rates and time sampling frequency. Numerator data were then divided by the denominator and rates calculated per 1 00 000 persons employed per annumResultsThe incidence rate of WRIH (from 6491 numerator cases) was 1350 per 1 00 000 persons employed per annum. Musculoskeletal disorders had the highest rates (640) followed by mental ill-health (516). Rates for musculoskeletal disorders were highest in agriculture (2232) and construction (1048) and for mental ill-health, in financial services (1113) and public administration/defense (1124).ConclusionAll employed persons have access to a GP therefore calculating incidence rates from GP data allow identification of industries/occupations at higher risk of WRIH Using postcode-based census data to characterise the denominator (therefore specifically related to the numerator) enables rates to be calculated with greater accuracy compared with using national employment data.
doi_str_mv 10.1136/oemed-2017-104636.303
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The Health and Occupational Reporting network in General Practice (THOR-GP) collects information on WRIH from approximately 250 GPs. To calculate rates, GP numerator data has to be divided by a compatible denominator.AimsTo formulate the best methods of determining incidence rates from THOR-GP dataMethodsThe THOR-GP denominator is the registered population of all participating GPs’ practices. Census data linked to practice postcodes were used to establish how the population was employed; practice list data were used to estimate the size of the population and adjusted for GP participation. Numerator data (incidence cases of WRIH) from 2006–2015 were adjusted for response rates and time sampling frequency. Numerator data were then divided by the denominator and rates calculated per 1 00 000 persons employed per annumResultsThe incidence rate of WRIH (from 6491 numerator cases) was 1350 per 1 00 000 persons employed per annum. Musculoskeletal disorders had the highest rates (640) followed by mental ill-health (516). Rates for musculoskeletal disorders were highest in agriculture (2232) and construction (1048) and for mental ill-health, in financial services (1113) and public administration/defense (1124).ConclusionAll employed persons have access to a GP therefore calculating incidence rates from GP data allow identification of industries/occupations at higher risk of WRIH Using postcode-based census data to characterise the denominator (therefore specifically related to the numerator) enables rates to be calculated with greater accuracy compared with using national employment data.</description><identifier>ISSN: 1351-0711</identifier><identifier>EISSN: 1470-7926</identifier><identifier>DOI: 10.1136/oemed-2017-104636.303</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><subject>Census ; Disorders ; Employment ; Finance ; Incidence ; Mathematical analysis ; Occupations ; Public administration</subject><ispartof>Occupational and environmental medicine (London, England), 2017-08, Vol.74 (Suppl 1), p.A115</ispartof><rights>2017, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2017 © 2017, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Hussey, Louise</creatorcontrib><creatorcontrib>Gittins, Matthew</creatorcontrib><creatorcontrib>McNamee, Roseanne</creatorcontrib><creatorcontrib>Agius, Raymond</creatorcontrib><title>0368 Improving incidence rates of work-related ill-health calculated from general practice</title><title>Occupational and environmental medicine (London, England)</title><description>IntroductionThe calculation of incidence rates of work-related ill-health (WRIH) is essential when assessing employment sectors at risk. The Health and Occupational Reporting network in General Practice (THOR-GP) collects information on WRIH from approximately 250 GPs. To calculate rates, GP numerator data has to be divided by a compatible denominator.AimsTo formulate the best methods of determining incidence rates from THOR-GP dataMethodsThe THOR-GP denominator is the registered population of all participating GPs’ practices. Census data linked to practice postcodes were used to establish how the population was employed; practice list data were used to estimate the size of the population and adjusted for GP participation. Numerator data (incidence cases of WRIH) from 2006–2015 were adjusted for response rates and time sampling frequency. Numerator data were then divided by the denominator and rates calculated per 1 00 000 persons employed per annumResultsThe incidence rate of WRIH (from 6491 numerator cases) was 1350 per 1 00 000 persons employed per annum. Musculoskeletal disorders had the highest rates (640) followed by mental ill-health (516). Rates for musculoskeletal disorders were highest in agriculture (2232) and construction (1048) and for mental ill-health, in financial services (1113) and public administration/defense (1124).ConclusionAll employed persons have access to a GP therefore calculating incidence rates from GP data allow identification of industries/occupations at higher risk of WRIH Using postcode-based census data to characterise the denominator (therefore specifically related to the numerator) enables rates to be calculated with greater accuracy compared with using national employment data.</description><subject>Census</subject><subject>Disorders</subject><subject>Employment</subject><subject>Finance</subject><subject>Incidence</subject><subject>Mathematical analysis</subject><subject>Occupations</subject><subject>Public administration</subject><issn>1351-0711</issn><issn>1470-7926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNotkMtKA0EQRRtRMEY_QWhw3bFqeqYfSwk-AgE3uhOafiWZOI_YM1HcufFH_RInjqu6VXWpSx1CLhFmiFxct7GOgWWAkiHkgosZB35EJphLYFJn4njQvEAGEvGUnHXdFgC55NmEvAAX6ufre1HvUvteNmtaNr4MsfGRJtvHjrYr-tGmV5ZiNfSBllXFNtFW_YZ6W_n9OF2ltqbr2MRkK7pL1velj-fkZGWrLl781yl5vrt9mj-w5eP9Yn6zZA5RcOY9aCe4RmcdSgVeoQ08cq1C9AUEcDpktohKqywXUiCgUzIPGvOgCh34lFyNd4cf3vax68223admiDSo-YGRKLLBBaPL1VuzS2Vt06dBMIe9-WNoDgzNyNAMDPkvaI9l0A</recordid><startdate>201708</startdate><enddate>201708</enddate><creator>Hussey, Louise</creator><creator>Gittins, Matthew</creator><creator>McNamee, Roseanne</creator><creator>Agius, Raymond</creator><general>BMJ Publishing Group LTD</general><scope>3V.</scope><scope>7RV</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>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope></search><sort><creationdate>201708</creationdate><title>0368 Improving incidence rates of work-related ill-health calculated from general practice</title><author>Hussey, Louise ; 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The Health and Occupational Reporting network in General Practice (THOR-GP) collects information on WRIH from approximately 250 GPs. To calculate rates, GP numerator data has to be divided by a compatible denominator.AimsTo formulate the best methods of determining incidence rates from THOR-GP dataMethodsThe THOR-GP denominator is the registered population of all participating GPs’ practices. Census data linked to practice postcodes were used to establish how the population was employed; practice list data were used to estimate the size of the population and adjusted for GP participation. Numerator data (incidence cases of WRIH) from 2006–2015 were adjusted for response rates and time sampling frequency. Numerator data were then divided by the denominator and rates calculated per 1 00 000 persons employed per annumResultsThe incidence rate of WRIH (from 6491 numerator cases) was 1350 per 1 00 000 persons employed per annum. Musculoskeletal disorders had the highest rates (640) followed by mental ill-health (516). Rates for musculoskeletal disorders were highest in agriculture (2232) and construction (1048) and for mental ill-health, in financial services (1113) and public administration/defense (1124).ConclusionAll employed persons have access to a GP therefore calculating incidence rates from GP data allow identification of industries/occupations at higher risk of WRIH Using postcode-based census data to characterise the denominator (therefore specifically related to the numerator) enables rates to be calculated with greater accuracy compared with using national employment data.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/oemed-2017-104636.303</doi><oa>free_for_read</oa></addata></record>
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subjects Census
Disorders
Employment
Finance
Incidence
Mathematical analysis
Occupations
Public administration
title 0368 Improving incidence rates of work-related ill-health calculated from general practice
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