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http://scihub22266oqcxt.onion/ C4669678!4669678!20690788     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       Am+J+Manag+Care 2010 ; 16 (8): e215-9 Nephropedia Template TP {{tp|p=20690788|t=2010. Using Search Engine Query Data to Track Pharmaceutical Utilization: A Study of Statins |pdf=|usr=}}{{20690788}} gab.com Text Using Search Engine Query Data to Track Pharmaceutical Utilization: A Study of Statins JO: Am J Manag Care http://www.kidney.de/pget.php?&tw=1&pmid=20690788 #FOAvip Objective: To examine temporal and geographic associations between Google queries for health information and healthcare utilization benchmarks. Study Design: Retrospective longitudinal study. Methods: Using Google Trends and Google Insights for Search data, the search terms Lipitor (atorvastatin calcium; Pfizer, Ann Arbor, MI) and simvastatin were evaluated for change over time and for association with Lipitor revenues. The relationship between query data and community-based resource use per Medicare beneficiary was assessed for 35 US metropolitan areas. Results: Google queries for Lipitor significantly decreased from January 2004 through June 2009 and queries for simvastatin significantly increased (P <.001 for both), particularly after Lipitor came off patent (P <.001 for change in slope). The mean number of Google queries for Lipitor correlated (r = 0.98) with the percentage change in Lipitor global revenues from 2004 to 2008 (P <.001). Query preference for Lipitor over simvastatin was positively associated (r = 0.40) with a community?s use of Medicare services. For every 1% increase in utilization of Medicare services in a community, there was a 0.2-unit increase in the ratio of Lipitor queries to simvastatin queries in that community (P = .02). Conclusions: Specific search engine queries for medical information correlate with pharmaceutical revenue and with overall healthcare utilization in a community. This suggests that search query data can track community-wide characteristics in healthcare utilization and have the potential for informing payers and policy makers regarding trends in utilization. Twit Text FOAVip Using Search Engine Query Data to Track Pharmaceutical Utilization: A Study of Statins ????Am J Manag Care http://www.kidney.de/pget.php?&tw=1&pmid=20690788 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=20690788 #FOAvip English Wikipedia <ref>{{Cite pmid|20690788}}</ref> Using Search Engine Query Data to Track Pharmaceutical Utilization: A Study of Statins #MMPMID20690788 Schuster NM; Rogers MAM; McMahon LF Am J Manag Care 2010[Aug]; 16 (8): e215-9 PMID20690788show ga Objective: To examine temporal and geographic associations between Google queries for health information and healthcare utilization benchmarks. Study Design: Retrospective longitudinal study. Methods: Using Google Trends and Google Insights for Search data, the search terms Lipitor (atorvastatin calcium; Pfizer, Ann Arbor, MI) and simvastatin were evaluated for change over time and for association with Lipitor revenues. The relationship between query data and community-based resource use per Medicare beneficiary was assessed for 35 US metropolitan areas. Results: Google queries for Lipitor significantly decreased from January 2004 through June 2009 and queries for simvastatin significantly increased (P <.001 for both), particularly after Lipitor came off patent (P <.001 for change in slope). The mean number of Google queries for Lipitor correlated (r = 0.98) with the percentage change in Lipitor global revenues from 2004 to 2008 (P <.001). Query preference for Lipitor over simvastatin was positively associated (r = 0.40) with a community?s use of Medicare services. For every 1% increase in utilization of Medicare services in a community, there was a 0.2-unit increase in the ratio of Lipitor queries to simvastatin queries in that community (P = .02). Conclusions: Specific search engine queries for medical information correlate with pharmaceutical revenue and with overall healthcare utilization in a community. This suggests that search query data can track community-wide characteristics in healthcare utilization and have the potential for informing payers and policy makers regarding trends in utilization. äUsing Search Engine Query Data to Track Pharmaceutical Utilization: A (epmc).pdf DeepDyve Pubget Overpricing