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10.1080/21507716.2013.807892 http://scihub22266oqcxt.onion/10.1080/21507716.2013.807892 C4626637!4626637!26523237     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 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 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       AJOB+Prim+Res 2013 ; 4 (3): 39-48 Nephropedia Template TP {{tp|p=26523237|t=2013. Understanding the Severity of Wrongdoing in Health Care Delivery and Research: Lessons Learned From a Historiometric Study of 100 Cases |pdf=|usr=}}{{26523237}} gab.com Text Understanding the Severity of Wrongdoing in Health Care Delivery and Research: Lessons Learned From a Historiometric Study of 100 Cases JO: AJOB Prim Res http://www.kidney.de/pget.php?&tw=1&pmid=26523237 #FOAvip Background: Wrongdoing among physicians and researchers causes myriad problems for patients and research participants. While many articles have been published on professional wrongdoing, our literature review found no studies that examined the rich contextual details of large sets of historical cases of wrongdoing. Methods: We examined 100 cases of wrongdoing in healthcare delivery and research using historiometric methods, which involve the statistical description and analysis of coded historical narratives. We used maximum variation, criterion-based sampling to identify cases involving 29 kinds of wrongdoing contained in a taxonomy of wrongdoing developed for the project. We coded the presence of a variety of environmental and wrongdoer variables and rated the severity of wrongdoing found in each case. This approach enabled us to (a) produce rich descriptions of variables characterizing cases; (b) identify factors influencing the severity of wrongdoing; and (c) test the hypothesis that professional wrongdoing is a unified, relatively homogenous phenomenon such as ?organizational deviance.? Results: Some variables were consistently found across cases (e.g., wrongdoers were male and cases lasted more than 2 years), and some variables were consistently absent across cases (e.g., cases did not involve wrongdoers who were mistreated by institutions or penalized for doing what is right). However, we also found that some variables associated with wrongdoing in research (such as ambiguous legal and ethical norms) differ from those associated with wrongdoing in healthcare delivery (such as wrongdoers with a significant history of professional misbehavior). Conclusions: Earlier intervention from colleagues might help prevent the pattern we observed of repeated wrongdoing across multiple years. While some variables characterize the vast majority of highly publicized cases of wrongdoing in healthcare delivery and research?regardless of the kind of wrongdoing?it is important to examine and compare sets of relatively homogenous cases in order to identify factors associated with wrongdoing. Twit Text FOAVip Understanding the Severity of Wrongdoing in Health Care Delivery and Research: Lessons Learned From a Historiometric Study of 100 Cases ????AJOB Prim Res http://www.kidney.de/pget.php?&tw=1&pmid=26523237 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26523237 #FOAvip English Wikipedia <ref>{{Cite pmid|26523237}}</ref> Understanding the Severity of Wrongdoing in Health Care Delivery and Research: Lessons Learned From a Historiometric Study of 100 Cases #MMPMID26523237 DuBois JM; Anderson EE; Chibnall JT AJOB Prim Res 2013[]; 4 (3): 39-48 PMID26523237show ga Background: Wrongdoing among physicians and researchers causes myriad problems for patients and research participants. While many articles have been published on professional wrongdoing, our literature review found no studies that examined the rich contextual details of large sets of historical cases of wrongdoing. Methods: We examined 100 cases of wrongdoing in healthcare delivery and research using historiometric methods, which involve the statistical description and analysis of coded historical narratives. We used maximum variation, criterion-based sampling to identify cases involving 29 kinds of wrongdoing contained in a taxonomy of wrongdoing developed for the project. We coded the presence of a variety of environmental and wrongdoer variables and rated the severity of wrongdoing found in each case. This approach enabled us to (a) produce rich descriptions of variables characterizing cases; (b) identify factors influencing the severity of wrongdoing; and (c) test the hypothesis that professional wrongdoing is a unified, relatively homogenous phenomenon such as ?organizational deviance.? Results: Some variables were consistently found across cases (e.g., wrongdoers were male and cases lasted more than 2 years), and some variables were consistently absent across cases (e.g., cases did not involve wrongdoers who were mistreated by institutions or penalized for doing what is right). However, we also found that some variables associated with wrongdoing in research (such as ambiguous legal and ethical norms) differ from those associated with wrongdoing in healthcare delivery (such as wrongdoers with a significant history of professional misbehavior). Conclusions: Earlier intervention from colleagues might help prevent the pattern we observed of repeated wrongdoing across multiple years. While some variables characterize the vast majority of highly publicized cases of wrongdoing in healthcare delivery and research?regardless of the kind of wrongdoing?it is important to examine and compare sets of relatively homogenous cases in order to identify factors associated with wrongdoing. äUnderstanding the Severity of Wrongdoing in Health Care Delivery and R(epmc).pdf DeepDyve Pubget Overpricing