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Improving trends estimates for specific work-related ill-health conditions when excess zeros are present in a voluntary health reporting scheme
BackgroundTrends in occupational disease incidence are estimated in voluntary reporting schemes such as The Health and Occupational Reporting (THOR) Network in the UK. Voluntary reporting schemes request responses even if no cases are observed to reduce uncertainty in non-response. This may result i...
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Published in: | Occupational and environmental medicine (London, England) England), 2023-05, Vol.80 (5), p.280-286 |
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description | BackgroundTrends in occupational disease incidence are estimated in voluntary reporting schemes such as The Health and Occupational Reporting (THOR) Network in the UK. Voluntary reporting schemes request responses even if no cases are observed to reduce uncertainty in non-response. This may result in false zeros that bias trends estimates. Analysis using zero-inflated models is unsuitable for specific health outcomes due to overestimates of the excess zeros. Here, we attempt to account for excess zeros while investigating condition-specific trends.MethodsZero-inflated negative binomial (ZINB) models were fitted to three THOR work-related ill health surveillance schemes Occupational Skin Disease Surveillance (437 reporters between 1996 and 2019), Occupational Physicians Reporting Activity (1094 between 1996 and 2019) and Surveillance of Work-Related and Occupational Respiratory Disease (878 between 1999 and 2019). The probability associated with a response being a false zero was estimated and applied in weighted negative binomial (wgt-NB) models fitted to specific ill-heath conditions. Three ill-health conditions from the three THOR schemes were considered; contact dermatitis, musculoskeletal and asthma, respectively.ResultsWgt-NB models approximately estimated the incidence rate ratios reported by the ZINB models (eg, EPIDERM; ZINB=0.969, NB=0.963, wgt-NB=0.968) for all health outcome annual trends. This was consistent for specific health outcomes which also tended towards the null (eg, contact dermatitis; NB=0.964, wgt-NB=0.969), indicating potentially overestimated downward trends. Though as the ratio of excess zeros to true zeros decreased in rarer health outcomes, the influence on trends also decreased.ConclusionsThrough weighting, we were able to adjust for excess zeros in health outcome-specific trends estimates. Though uncertainty is still present in underlying reporter behaviour meaning caution should be applied with interpretation of any results. |
doi_str_mv | 10.1136/oemed-2022-108627 |
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Voluntary reporting schemes request responses even if no cases are observed to reduce uncertainty in non-response. This may result in false zeros that bias trends estimates. Analysis using zero-inflated models is unsuitable for specific health outcomes due to overestimates of the excess zeros. Here, we attempt to account for excess zeros while investigating condition-specific trends.MethodsZero-inflated negative binomial (ZINB) models were fitted to three THOR work-related ill health surveillance schemes Occupational Skin Disease Surveillance (437 reporters between 1996 and 2019), Occupational Physicians Reporting Activity (1094 between 1996 and 2019) and Surveillance of Work-Related and Occupational Respiratory Disease (878 between 1999 and 2019). The probability associated with a response being a false zero was estimated and applied in weighted negative binomial (wgt-NB) models fitted to specific ill-heath conditions. Three ill-health conditions from the three THOR schemes were considered; contact dermatitis, musculoskeletal and asthma, respectively.ResultsWgt-NB models approximately estimated the incidence rate ratios reported by the ZINB models (eg, EPIDERM; ZINB=0.969, NB=0.963, wgt-NB=0.968) for all health outcome annual trends. This was consistent for specific health outcomes which also tended towards the null (eg, contact dermatitis; NB=0.964, wgt-NB=0.969), indicating potentially overestimated downward trends. Though as the ratio of excess zeros to true zeros decreased in rarer health outcomes, the influence on trends also decreased.ConclusionsThrough weighting, we were able to adjust for excess zeros in health outcome-specific trends estimates. Though uncertainty is still present in underlying reporter behaviour meaning caution should be applied with interpretation of any results.</description><identifier>ISSN: 1351-0711</identifier><identifier>EISSN: 1470-7926</identifier><identifier>DOI: 10.1136/oemed-2022-108627</identifier><identifier>PMID: 37012047</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd</publisher><subject>Asthma ; Binomial distribution ; Contact dermatitis ; Dermatitis ; Dermatitis, Contact ; Epidemiology ; Estimates ; Health surveillance ; Humans ; Incidence ; Methodology ; Models, Statistical ; Musculoskeletal System ; Occupational diseases ; Occupational Diseases - epidemiology ; Occupational Health ; Random variables ; Respiratory diseases ; Skin diseases ; Trends ; Uncertainty</subject><ispartof>Occupational and environmental medicine (London, England), 2023-05, Vol.80 (5), p.280-286</ispartof><rights>Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2023 Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-b390t-2943f8b11f88ed16d0dbb0279a8eb6d72c781d595f2aab48dd455a04938910d53</cites><orcidid>0000-0002-9888-1197 ; 0000-0002-1205-1898</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://oem.bmj.com/content/80/5/280.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://oem.bmj.com/content/80/5/280.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>314,780,784,3196,27924,27925,55346,77659,77685</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37012047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gittins, Matthew</creatorcontrib><creatorcontrib>Carder, Melanie</creatorcontrib><creatorcontrib>Seed, Martin J</creatorcontrib><creatorcontrib>Iskandar, Ireny</creatorcontrib><creatorcontrib>Daniels, Sarah Ann Michelle</creatorcontrib><creatorcontrib>van Tongeren, Martie</creatorcontrib><title>Improving trends estimates for specific work-related ill-health conditions when excess zeros are present in a voluntary health reporting scheme</title><title>Occupational and environmental medicine (London, England)</title><addtitle>Occup Environ Med</addtitle><addtitle>Occup Environ Med</addtitle><description>BackgroundTrends in occupational disease incidence are estimated in voluntary reporting schemes such as The Health and Occupational Reporting (THOR) Network in the UK. Voluntary reporting schemes request responses even if no cases are observed to reduce uncertainty in non-response. This may result in false zeros that bias trends estimates. Analysis using zero-inflated models is unsuitable for specific health outcomes due to overestimates of the excess zeros. Here, we attempt to account for excess zeros while investigating condition-specific trends.MethodsZero-inflated negative binomial (ZINB) models were fitted to three THOR work-related ill health surveillance schemes Occupational Skin Disease Surveillance (437 reporters between 1996 and 2019), Occupational Physicians Reporting Activity (1094 between 1996 and 2019) and Surveillance of Work-Related and Occupational Respiratory Disease (878 between 1999 and 2019). The probability associated with a response being a false zero was estimated and applied in weighted negative binomial (wgt-NB) models fitted to specific ill-heath conditions. Three ill-health conditions from the three THOR schemes were considered; contact dermatitis, musculoskeletal and asthma, respectively.ResultsWgt-NB models approximately estimated the incidence rate ratios reported by the ZINB models (eg, EPIDERM; ZINB=0.969, NB=0.963, wgt-NB=0.968) for all health outcome annual trends. This was consistent for specific health outcomes which also tended towards the null (eg, contact dermatitis; NB=0.964, wgt-NB=0.969), indicating potentially overestimated downward trends. Though as the ratio of excess zeros to true zeros decreased in rarer health outcomes, the influence on trends also decreased.ConclusionsThrough weighting, we were able to adjust for excess zeros in health outcome-specific trends estimates. Though uncertainty is still present in underlying reporter behaviour meaning caution should be applied with interpretation of any results.</description><subject>Asthma</subject><subject>Binomial distribution</subject><subject>Contact dermatitis</subject><subject>Dermatitis</subject><subject>Dermatitis, Contact</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Health surveillance</subject><subject>Humans</subject><subject>Incidence</subject><subject>Methodology</subject><subject>Models, Statistical</subject><subject>Musculoskeletal System</subject><subject>Occupational diseases</subject><subject>Occupational Diseases - epidemiology</subject><subject>Occupational Health</subject><subject>Random variables</subject><subject>Respiratory diseases</subject><subject>Skin diseases</subject><subject>Trends</subject><subject>Uncertainty</subject><issn>1351-0711</issn><issn>1470-7926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1TAQhSMEoqXlAdggS2y6MXhsJ7aXqIK2UiU2dB058YSbS2IH2-kPL9FXxpd7KyQkWNnSfHNmzpyqegPsPYBoPgSc0VHOOKfAdMPVs-oYpGJUGd48L39RA2UK4Kh6ldKWMRBK8JfVkVAMOJPquHq8mpcYbkf_jeSI3iWCKY-zzZjIECJJC_bjMPbkLsTvNOJUKo6M00Q3aKe8IX3wbsxj8IncbdATvO8xJfITY0jERiRLxIQ-k9ETS27DtPps4wM5tEdcQsy78anfFDun1YvBTglfH96T6ubzp6_nl_T6y8XV-cdr2gnDMuVGikF3AIPW6KBxzHUd48pYjV3jFO-VBlebeuDWdlI7J-vaMmmENsBcLU6qs71ucf9jLZ7beUw9TpP1GNbUFqla1AaMLui7v9BtWKMv27Vcl5syCUb9l1JGQpkLslCwp_pynhRxaJdYrh0fWmDtLtP2d6btLtN2n2npeXtQXrtd7anjKcQC0D3Qzds_U_8t-Att5a2Q</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Gittins, Matthew</creator><creator>Carder, Melanie</creator><creator>Seed, Martin J</creator><creator>Iskandar, Ireny</creator><creator>Daniels, Sarah Ann Michelle</creator><creator>van Tongeren, Martie</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</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>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>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><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9888-1197</orcidid><orcidid>https://orcid.org/0000-0002-1205-1898</orcidid></search><sort><creationdate>20230501</creationdate><title>Improving trends estimates for specific work-related ill-health conditions when excess zeros are present in a voluntary health reporting scheme</title><author>Gittins, Matthew ; Carder, Melanie ; Seed, Martin J ; Iskandar, Ireny ; Daniels, Sarah Ann Michelle ; van Tongeren, Martie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b390t-2943f8b11f88ed16d0dbb0279a8eb6d72c781d595f2aab48dd455a04938910d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Asthma</topic><topic>Binomial distribution</topic><topic>Contact dermatitis</topic><topic>Dermatitis</topic><topic>Dermatitis, Contact</topic><topic>Epidemiology</topic><topic>Estimates</topic><topic>Health surveillance</topic><topic>Humans</topic><topic>Incidence</topic><topic>Methodology</topic><topic>Models, Statistical</topic><topic>Musculoskeletal System</topic><topic>Occupational diseases</topic><topic>Occupational Diseases - epidemiology</topic><topic>Occupational Health</topic><topic>Random variables</topic><topic>Respiratory diseases</topic><topic>Skin diseases</topic><topic>Trends</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gittins, Matthew</creatorcontrib><creatorcontrib>Carder, Melanie</creatorcontrib><creatorcontrib>Seed, Martin J</creatorcontrib><creatorcontrib>Iskandar, Ireny</creatorcontrib><creatorcontrib>Daniels, Sarah Ann Michelle</creatorcontrib><creatorcontrib>van Tongeren, Martie</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>Nursing & Allied Health Database</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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 Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>BMJ Journals</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 (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</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><jtitle>Occupational and environmental medicine (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gittins, Matthew</au><au>Carder, Melanie</au><au>Seed, Martin J</au><au>Iskandar, Ireny</au><au>Daniels, Sarah Ann Michelle</au><au>van Tongeren, Martie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving trends estimates for specific work-related ill-health conditions when excess zeros are present in a voluntary health reporting scheme</atitle><jtitle>Occupational and environmental medicine (London, England)</jtitle><stitle>Occup Environ Med</stitle><addtitle>Occup Environ Med</addtitle><date>2023-05-01</date><risdate>2023</risdate><volume>80</volume><issue>5</issue><spage>280</spage><epage>286</epage><pages>280-286</pages><issn>1351-0711</issn><eissn>1470-7926</eissn><abstract>BackgroundTrends in occupational disease incidence are estimated in voluntary reporting schemes such as The Health and Occupational Reporting (THOR) Network in the UK. Voluntary reporting schemes request responses even if no cases are observed to reduce uncertainty in non-response. This may result in false zeros that bias trends estimates. Analysis using zero-inflated models is unsuitable for specific health outcomes due to overestimates of the excess zeros. Here, we attempt to account for excess zeros while investigating condition-specific trends.MethodsZero-inflated negative binomial (ZINB) models were fitted to three THOR work-related ill health surveillance schemes Occupational Skin Disease Surveillance (437 reporters between 1996 and 2019), Occupational Physicians Reporting Activity (1094 between 1996 and 2019) and Surveillance of Work-Related and Occupational Respiratory Disease (878 between 1999 and 2019). The probability associated with a response being a false zero was estimated and applied in weighted negative binomial (wgt-NB) models fitted to specific ill-heath conditions. Three ill-health conditions from the three THOR schemes were considered; contact dermatitis, musculoskeletal and asthma, respectively.ResultsWgt-NB models approximately estimated the incidence rate ratios reported by the ZINB models (eg, EPIDERM; ZINB=0.969, NB=0.963, wgt-NB=0.968) for all health outcome annual trends. This was consistent for specific health outcomes which also tended towards the null (eg, contact dermatitis; NB=0.964, wgt-NB=0.969), indicating potentially overestimated downward trends. Though as the ratio of excess zeros to true zeros decreased in rarer health outcomes, the influence on trends also decreased.ConclusionsThrough weighting, we were able to adjust for excess zeros in health outcome-specific trends estimates. Though uncertainty is still present in underlying reporter behaviour meaning caution should be applied with interpretation of any results.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd</pub><pmid>37012047</pmid><doi>10.1136/oemed-2022-108627</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9888-1197</orcidid><orcidid>https://orcid.org/0000-0002-1205-1898</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Asthma Binomial distribution Contact dermatitis Dermatitis Dermatitis, Contact Epidemiology Estimates Health surveillance Humans Incidence Methodology Models, Statistical Musculoskeletal System Occupational diseases Occupational Diseases - epidemiology Occupational Health Random variables Respiratory diseases Skin diseases Trends Uncertainty |
title | Improving trends estimates for specific work-related ill-health conditions when excess zeros are present in a voluntary health reporting scheme |
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