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10.1016/j.socscimed.2021.113830 http://scihub22266oqcxt.onion/10.1016/j.socscimed.2021.113830 33765460!9756791!33765460     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 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 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 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 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Soc+Sci+Med 2021 ; 276 (ä): 113830 Nephropedia Template TP {{tp|p=33765460|t=2021. Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure |pdf=|usr=}}{{33765460}} gab.com Text Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure JO: Soc Sci Med http://www.kidney.de/pget.php?&tw=1&pmid=33765460 #FOAvip The COVID-19 pandemic is challenging how healthcare technologies are evaluated, as new, more dynamic methods are required to test the cost effectiveness of alternative interventions during use rather than before initial adoption. Currently, health technology assessment (HTA) tends to be static and a priori: alternatives are compared before launch, and little evaluation occurs after implementation. We suggest a method that builds upon the current pre-launch HTA procedures by conceptualizing a mean-variance approach to the continuous evaluation of attainable portfolios of interventions in health systems. Our framework uses frontier analysis to identify the desirability of available health interventions so decision makers can choose diverse portfolios based upon information about expected returns and risks. This approach facilitates the extension of existing methods and assessments beyond the traditional concern with pre-adoption data, a much-needed innovation given the challenges posed by COVID-19. Twit Text FOAVip Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure ????Soc Sci Med http://www.kidney.de/pget.php?&tw=1&pmid=33765460 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33765460 #FOAvip English Wikipedia <ref>{{Cite pmid|33765460}}</ref> Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure #MMPMID33765460 Baines D; Disegna M; Hartwell CA Soc Sci Med 2021[May]; 276 (ä): 113830 PMID33765460show ga The COVID-19 pandemic is challenging how healthcare technologies are evaluated, as new, more dynamic methods are required to test the cost effectiveness of alternative interventions during use rather than before initial adoption. Currently, health technology assessment (HTA) tends to be static and a priori: alternatives are compared before launch, and little evaluation occurs after implementation. We suggest a method that builds upon the current pre-launch HTA procedures by conceptualizing a mean-variance approach to the continuous evaluation of attainable portfolios of interventions in health systems. Our framework uses frontier analysis to identify the desirability of available health interventions so decision makers can choose diverse portfolios based upon information about expected returns and risks. This approach facilitates the extension of existing methods and assessments beyond the traditional concern with pre-adoption data, a much-needed innovation given the challenges posed by COVID-19. |*COVID-19[MESH] |*Technology Assessment, Biomedical[MESH] |Analysis of Variance[MESH] |Cost-Benefit Analysis[MESH] |Humans[MESH] |Pandemics[MESH]Portfolio frontier analysis: Applying mean-variance analysis to health(epmc).pdf DeepDyve Pubget Overpricing