c9423c070e4df3c7ad302d774e883523 286279.pdf 60b204f0eca9a53aa151328ab111849aab29d8a4 286279.pdf d9039c926dc82b8be157bf2eba24e56dafd29b0a52b1d9bb28b0c567b724e8e3 286279.pdf Title: Implications of estimating road traffic serious injuries from hospital data Subject: Accident Analysis and Prevention, 130 (2019) 125-135. doi:10.1016/j.aap.2018.04.005 Keywords: Road traffic injury; MAIS; Data linkage; Injury severity; Author: K. Pérez Creator: Elsevier CreationDate: Wed Aug 14 17:36:02 2019 CEST ModDate: Wed Aug 14 17:36:02 2019 CEST Tagged: no UserProperties: no Suspects: no Form: AcroForm JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 793.701 pts Page rot: 0 File size: 414761 bytes Optimized: yes PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- ORIKBW+CharisSIL CID Type 0C Identity-H yes yes yes 425 0 JJPJMB+AdvOT596495f2 Type 1C WinAnsi yes yes no 395 0 JJPJOB+AdvOT0de51fd2 Type 1C WinAnsi yes yes no 396 0 JJPJPB+AdvOT596495f2+fb Type 1C Custom yes yes yes 397 0 JJPJPC+AdvOT8608a8d1+20 Type 1C Custom yes yes yes 398 0 JJPJPD+AdvOT7fb33346.I Type 1C WinAnsi yes yes no 408 0 JJPJPE+AdvOT7fb33346.I+20 Type 1C Custom yes yes yes 409 0 JJPKAF+AdvOT1efcda3b.B Type 1C WinAnsi yes yes no 416 0 JJPKAG+AdvOT596495f2+20 Type 1C WinAnsi yes yes no 419 0 ZSQYZA+CharisSIL-Italic CID Type 0C Identity-H yes yes yes 120 0 JJPKCG+AdvOT596495f2+22 Type 1C Custom yes yes yes 115 0 JJPKDH+AdvOT8608a8d1+25 Type 1C Custom yes yes yes 110 0 JJPKDI+AdvOT7fb33346.I+fb Type 1C Custom yes yes yes 105 0 JJPLNP+AdvOT3da5739a.BI Type 1C WinAnsi yes yes no 129 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2023-12-15 02:37:50 CET RepresentationInformation: 286279.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2023-12-14 13:44:19 CET Size: 414761 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF PDFMetadata: Objects: 475 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Outlines: Item: Title: Implications of estimating road traffic serious injuries from hospital data Destination: mk:title Children: Item: Title: Introduction Destination: mk:H1_1 Item: Title: Data and method Destination: mk:H1_2 Children: Item: Title: Inclusion and exclusion criteria Destination: mk:H2_3 Item: Title: Conversion tools to derive MAIS3+ Destination: mk:H2_4 Item: Title: Results Destination: mk:H1_5 Children: Item: Title: Inclusion and exclusion criteria for road traffic case selection from hospital data Destination: mk:H2_6 Children: Item: Title: Use of weighting factors to make data more comparable with other countries Destination: mk:H2_7 Item: Title: How to derive MAIS3+ Destination: mk:H2_8 Children: Item: Title: Direct coding versus various conversion tools Destination: mk:H2_9 Item: Title: Consequence of using a limited number of injuries per casualty Destination: mk:H2_10 Item: Title: Consequence of truncated injury codes Destination: mk:H2_11 Item: Title: Discussion Destination: mk:H1_12 Children: Item: Title: General criteria for case selection/inclusion Destination: mk:H2_13 Item: Title: Methods to derive MAIS3+ Destination: mk:H2_14 Item: Title: Funding Destination: mk:H1_15 Item: Title: Acknowledgments Destination: mk:H1_16 Item: Title: mk:H1_17 Destination: mk:H1_17 Item: Title: References Destination: mk:H1_18 Info: Title: Implications of estimating road traffic serious injuries from hospital data Author: K. 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Pérez W. Weijermars N. Bos A.J. Filtness R. Bauer H. Johannsen N. Nuyttens L. Pascal P. Thomas M. Olabarria The Working group of WP7 project Road traffic injury MAIS Data linkage Injury severity Elsevier Accident Analysis and Prevention, 130 (2019) 125-135. doi:10.1016/j.aap.2018.04.005 journal Accident Analysis and Prevention © 2018 The Authors. 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