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10.12688/gatesopenres.12812.1 http://scihub22266oqcxt.onion/10.12688/gatesopenres.12812.1 C6030395!6030395!29984357     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Gates+Open+Res 2018 ; 2 (ä): ä Nephropedia Template TP {{tp|p=29984357|t=2018. A de-identified database of 11,979 verbal autopsy open-ended responses |pdf=|usr=}}{{29984357}} gab.com Text A de-identified database of 11,979 verbal autopsy open-ended responses JO: Gates Open Res http://www.kidney.de/pget.php?&tw=1&pmid=29984357 #FOAvip As part of the Gates Grand Challenge 13, the Population Health Metrics Research Consortium (PHMRC) collected data to enable the development and validation of methods that measure cause-specific mortality in populations with incomplete or inadequate cause of death coding. This work yielded 11,979 verbal autopsy interviews (VAIs). In each, a field interviewer spoke with an individual familiar with the deceased and their final illness, and used a semi-structured questionnaire to collect information about the symptoms of the deceased in their final illness. The VAI collected demographic characteristics, possible risk factors (such as tobacco use), and other potentially contributing characteristics. It also included the open-ended question, ?Could you please summarize, or tell us in your own words, any additional information about the illness and/or death of your loved one?? (open narrative). The VAI data were released in a de-identified format in September 2013 through the Global Health Data Exchange, in files that contain verbal autopsies that were collected at six sites in four countries (India, Mexico, Tanzania, and the Philippines). Due to research interest, we have now created redacted versions of the open narratives from the open-ended question of the questionnaire. We hope that this database will be the source of innovations that increase our knowledge about the causes of ill health and, through this knowledge, produce improvements in health for individuals and populations. Twit Text FOAVip A de-identified database of 11,979 verbal autopsy open-ended responses ????Gates Open Res http://www.kidney.de/pget.php?&tw=1&pmid=29984357 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29984357 #FOAvip English Wikipedia <ref>{{Cite pmid|29984357}}</ref> A de-identified database of 11,979 verbal autopsy open-ended responses #MMPMID29984357 Flaxman AD; Harman L; Joseph J; Brown J; Murray CJ Gates Open Res 2018[]; 2 (ä): ä PMID29984357show ga As part of the Gates Grand Challenge 13, the Population Health Metrics Research Consortium (PHMRC) collected data to enable the development and validation of methods that measure cause-specific mortality in populations with incomplete or inadequate cause of death coding. This work yielded 11,979 verbal autopsy interviews (VAIs). In each, a field interviewer spoke with an individual familiar with the deceased and their final illness, and used a semi-structured questionnaire to collect information about the symptoms of the deceased in their final illness. The VAI collected demographic characteristics, possible risk factors (such as tobacco use), and other potentially contributing characteristics. It also included the open-ended question, ?Could you please summarize, or tell us in your own words, any additional information about the illness and/or death of your loved one?? (open narrative). The VAI data were released in a de-identified format in September 2013 through the Global Health Data Exchange, in files that contain verbal autopsies that were collected at six sites in four countries (India, Mexico, Tanzania, and the Philippines). Due to research interest, we have now created redacted versions of the open narratives from the open-ended question of the questionnaire. We hope that this database will be the source of innovations that increase our knowledge about the causes of ill health and, through this knowledge, produce improvements in health for individuals and populations. äA de-identified database of 11,979 verbal autopsy open-ended responses(epmc).pdf DeepDyve Pubget Overpricing