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10.1098/rsos.201721 http://scihub22266oqcxt.onion/10.1098/rsos.201721 33996117!8059635!33996117     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       R+Soc+Open+Sci 2021 ; 8 (4): 201721 Nephropedia Template TP {{tp|p=33996117|t=2021. Communicating personalized risks from COVID-19: guidelines from an empirical study |pdf=|usr=}}{{33996117}} gab.com Text Communicating personalized risks from COVID-19: guidelines from an empirical study JO: R Soc Open Sci http://www.kidney.de/pget.php?&tw=1&pmid=33996117 #FOAvip As increasing amounts of data accumulate on the effects of the novel coronavirus SARS-CoV-2 and the risk factors that lead to poor outcomes, it is possible to produce personalized estimates of the risks faced by groups of people with different characteristics. The challenge of how to communicate these then becomes apparent. Based on empirical work (total n = 5520, UK) supported by in-person interviews with the public and physicians, we make recommendations on the presentation of such information. These include: using predominantly percentages when communicating the absolute risk, but also providing, for balance, a format which conveys a contrasting (higher) perception of risk (expected frequency out of 10 000); using a visual linear scale cut at an appropriate point to illustrate the maximum risk, explained through an illustrative 'persona' who might face that highest level of risk; and providing context to the absolute risk through presenting a range of other 'personas' illustrating people who would face risks of a wide range of different levels. These 'personas' should have their major risk factors (age, existing health conditions) described. By contrast, giving people absolute likelihoods of other risks they face in an attempt to add context was considered less helpful. We note that observed effect sizes generally were small. However, even small effects are meaningful and relevant when scaled up to population levels. Twit Text FOAVip Communicating personalized risks from COVID-19: guidelines from an empirical study ????R Soc Open Sci http://www.kidney.de/pget.php?&tw=1&pmid=33996117 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33996117 #FOAvip English Wikipedia <ref>{{Cite pmid|33996117}}</ref> Communicating personalized risks from COVID-19: guidelines from an empirical study #MMPMID33996117 Freeman ALJ; Kerr J; Recchia G; Schneider CR; Lawrence ACE; Finikarides L; Luoni G; Dryhurst S; Spiegelhalter D R Soc Open Sci 2021[Apr]; 8 (4): 201721 PMID33996117show ga As increasing amounts of data accumulate on the effects of the novel coronavirus SARS-CoV-2 and the risk factors that lead to poor outcomes, it is possible to produce personalized estimates of the risks faced by groups of people with different characteristics. The challenge of how to communicate these then becomes apparent. Based on empirical work (total n = 5520, UK) supported by in-person interviews with the public and physicians, we make recommendations on the presentation of such information. These include: using predominantly percentages when communicating the absolute risk, but also providing, for balance, a format which conveys a contrasting (higher) perception of risk (expected frequency out of 10 000); using a visual linear scale cut at an appropriate point to illustrate the maximum risk, explained through an illustrative 'persona' who might face that highest level of risk; and providing context to the absolute risk through presenting a range of other 'personas' illustrating people who would face risks of a wide range of different levels. These 'personas' should have their major risk factors (age, existing health conditions) described. By contrast, giving people absolute likelihoods of other risks they face in an attempt to add context was considered less helpful. We note that observed effect sizes generally were small. However, even small effects are meaningful and relevant when scaled up to population levels. äCommunicating personalized risks from COVID-19: guidelines from an emp(epmc).pdf DeepDyve Pubget Overpricing