Dishonest Ethical Advocacy?: False Defenses in Criminal Court

This Note examines this dilemma and recent judicial approaches to it. Judges disagree about how guilty criminal defendants should be permitted to mount defenses at trial. Some have forbidden defense counsel from knowingly advancing any false exculpatory proposition. Others have permitted guilty defense attorneys to present sincere or truthful testimony in order to bolster a falsehood. And still others have signaled more general comfort with the idea that an attorney aggressively can pursue an acquittal on behalf of a guilty client. This Note seeks to resolve this issue by parsing the range of false defense tactics available to attorneys and evaluating the propriety of each under the Model Rules of Professional Conduct. This Note reads the Model Rules in the context of the adversary system’s twin aims to seek truth and safeguard individual rights; it defines and categorizes specific false defense tactics; and it offers practical, context-specific recommendations to courts and attorneys evaluating knowingly false defenses as they occur in the real world

Expert Consensus Statement on Proficiency Standards for Dermoscopy Education in Primary Care.

BACKGROUND: Primary care providers (PCPs) frequently address dermatologic concerns and perform skin examinations during clinical encounters. For PCPs who evaluate concerning skin lesions, dermoscopy (a noninvasive skin visualization technique) has been shown to increase the sensitivity for skin cancer diagnosis compared with unassisted clinical examinations. Because no formal consensus existed on the fundamental knowledge and skills that PCPs should have with respect to dermoscopy for skin cancer detection, the objective of this study was to develop an expert consensus statement on proficiency standards for PCPs learning or using dermoscopy. METHODS: A 2-phase modified Delphi method was used to develop 2 proficiency standards. In the study\u27s first phase, a focus group of PCPs and dermatologists generated a list of dermoscopic diagnoses and associated features. In the second phase, a larger panel evaluated the proposed list and determined whether each diagnosis was reflective of a foundational or intermediate proficiency or neither. RESULTS: Of the 35 initial panelists, 5 PCPs were lost to follow-up or withdrew; 30 completed the fifth and last round. The final consensus-based list contained 39 dermoscopic diagnoses and associated features. CONCLUSIONS: This consensus statement will inform the development of PCP-targeted dermoscopy training initiatives designed to support early cancer detection

Expert Consensus Statement on Proficiency Standards for Dermoscopy Education in Primary Care.

Primary care providers (PCPs) frequently address dermatologic concerns and perform skin examinations during clinical encounters. For PCPs who evaluate concerning skin lesions, dermoscopy (a noninvasive skin visualization technique) has been shown to increase the sensitivity for skin cancer diagnosis compared with unassisted clinical examinations. Because no formal consensus existed on the fundamental knowledge and skills that PCPs should have with respect to dermoscopy for skin cancer detection, the objective of this study was to develop an expert consensus statement on proficiency standards for PCPs learning or using dermoscopy. A 2-phase modified Delphi method was used to develop 2 proficiency standards. In the study's first phase, a focus group of PCPs and dermatologists generated a list of dermoscopic diagnoses and associated features. In the second phase, a larger panel evaluated the proposed list and determined whether each diagnosis was reflective of a foundational or intermediate proficiency or neither. Of the 35 initial panelists, 5 PCPs were lost to follow-up or withdrew; 30 completed the fifth and last round. The final consensus-based list contained 39 dermoscopic diagnoses and associated features. This consensus statement will inform the development of PCP-targeted dermoscopy training initiatives designed to support early cancer detection