Optimal Delegation and Decoupling in the Design of Liability Rules

Calabresi and Melamed began a scholarly revolution by showing that legal entitlements have two readily distinguishable forms of protection: property rules and liability rules. These two archetypal forms protect an entitlement holder\u27s interest in markedly different ways - via deterrence or compensation. Property rules protect entitlements by trying to deter others from taking. Liability rules, on the other hand, protect entitlements not by deterring but by trying to compensate the victim of nonconsensual takings. Accordingly, the compensatory impetus behind liability rules focuses on the takee\u27s welfare - making sure the sanction is sufficient to compensate the takee. The deterrent impetus behind property rules, however, focuses on the potential taker\u27s welfare - making sure the sanction is sufficient to deter the taker. Thus, disgorgement and prison terms exemplify traditional property rule remedies, while expectation and other compensatory damages fall squarely within the liability rule camp

Practitioner Review: Therapeutics of unipolar major depressions in adolescents.

BACKGROUND: Over the past two decades new and key randomized controlled trials have reported the efficacy, clinical and cost effectiveness of psychological and pharmacological treatments for adolescents with major depression. METHODS: The literature was searched through pubmed, psychinfo, scopus and web of science for randomized controlled trials of current major depression together with meta-analyses and systematic reviews of trials between 2000 and 2017. Those specific to the adolescent years (11-18 years) were taken as the primary source for this narrative review. Additional selected studies in adults were used to illustrate methodological issues. RESULTS: Manualized psychological therapies and the SSRI fluoxetine are more effective than active placebo in the treatment of major depressions. Mild to moderate illnesses attending community-based services are likely to benefit from psychological treatment alone. Moderately to severely ill patients attending clinic and hospital services are likely to benefit from monotherapies or combining psychological and pharmacological treatment. Antidepressants carry a small but significant side-effect risk including increased suicidality. Side effects from psychotherapies are somewhat lower but specific negative consequences remain less well characterized. There is some evidence that CBT-based approaches prevent onset of major depression episode in well adolescents at high-risk. Other psychological interventions have not been adequately studied. There has been only limited identification of treatment moderators and no clear understanding of therapeutic mechanisms. CONCLUSIONS: There is now a range of clinically effective treatments for depressed adolescents. Future research needs to reveal moderators of and mechanisms for individual differences to treatment response, determine psychotherapies of value for milder depressions, enhance our understanding of safety and side-effects for all treatments, and consider how to reduce and treat treatment-resistant cases.The IMPACT study was funded by an award to IMG from the National Institute for Health Research (NIHR) Health Technology Assessment (HTA) programme (project number 06/05/01). IMG is also supported by a strategic award from the Wellcome Trust to the University of Cambridge and University College London (095844/Z/11/Z)

The enigma of facial asymmetry:is there a gender specific pattern of facedness?

Although facial symmetry correlates with facial attractiveness, human faces are often far from symmetrical with one side frequently being larger than the other (Kowner, 1998). Smith (2000) reported that male and female faces were asymmetrical in opposite directions, with males having a larger area on the left side compared to the right side, and females having a larger right side compared to the left side. The present study attempted to replicate and extend this finding. Two databases of facial images from Stirling and St Andrews Universities, consisting of 180 and 122 faces respectively, and a third set of 62 faces collected at Abertay University, were used to examine Smith's findings. Smith's unique method of calculating the size of each hemiface was applied to each set. For the Stirling and St Andrews sets a computer program did this automatically and for the Abertay set it was done manually. No significant overall effect of gender on facial area asymmetry was found. However, the St Andrews sample demonstrated a similar effect to that found by Smith, with females having a significantly larger mean area of right hemiface and males having a larger left hemiface. In addition, for the Abertay faces handedness had a significant effect on facial asymmetry with right-handers having a larger left side of the face. These findings give limited support for Smith's results but also suggest that finding such an asymmetry may depend on some as yet unidentified factors inherent in some methods of image collection

Deliberate clinical inertia: Using meta-cognition to improve decision-making

Deliberate clinical inertia is the art of doing nothing as a positive response. To be able to apply this concept, individual clinicians need to specifically focus on their clinical decision-making. The skill of solving problems and making optimal clinical decisions requires more attention in medical training and should play a more prominent part of the medical curriculum. This paper provides suggestions on how this may be achieved. Strategies to mitigate common biases are outlined, with an emphasis on reversing a 'more is better' culture towards more temperate, critical thinking. To incorporate such an approach in medical curricula and in clinical practice, institutional endorsement and support is required

Association of N-terminal pro-brain natriuretic peptide with cognitive function and depression in elderly people with type 2 diabetes

<p>Background: Type 2 diabetes mellitus is associated with risk of congestive heart failure (CHF), cognitive dysfunction and depression. CHF itself is linked both to poor cognition and depression. The ventricular N-terminal pro-brain natriuretic peptide (NT-proBNP) is a marker of CHF, suggesting potential as a marker for cognitive impairment and/or depression. This was tested in the Edinburgh Type 2 Diabetes Study (ET2DS).</p> <p>Methodology and Principal Findings: Cross-sectional analysis of 1066 men and women aged 60–75 with type 2 diabetes. Results from seven neuropsychological tests were combined in a standardised general cognitive ability factor, ‘g’. A vocabulary-based test estimated pre-morbid cognitive ability. The Hospital Anxiety and Depression Scale (HADS) assessed possible depression. After adjustment for age and sex, raised plasma NT-proBNP was weakly associated with lower ‘g’ and higher depression scores (ß −0.09, 95% CI −0.13 to −0.03, p = 0.004 and ß 0.08, 95% CI 0.04 to 0.12, p<0.001, respectively). Comparing extreme quintiles of NT-proBNP, subjects in the highest quintile were more likely to have reduced cognitive ability (within the lowest tertile of ‘g’) and ‘possible’ depression (HADS depression ≥8) (OR 1.80; 95% CI: 1.20, 2.70; p = 0.005 and OR 2.18; 95% CI: 1.28, 3.71; p = 0.004, respectively). Associations persisted when pre-morbid ability was adjusted for, but as expected were no longer statistically significant following the adjustment for diabetes-related and vascular co-variates (β −0.02, 95% CI −0.07 to 0.03, p>0.05 for ‘g’; β 0.03, 95% CI −0.02 to 0.07, p>0.05 for depression scores).</p> <p>Conclusion: Raised plasma NT-proBNP was weakly but statistically significantly associated with poorer cognitive function and depression. The prospective phases of the ET2DS will help determine whether or not NT-proBNP can be considered a risk marker for subsequent cognitive impairment and incident depression and whether it provides additional information over and above traditional risk factors for these conditions.</p&gt

Assessment of the learning curve in health technologies: a systematic review

Objective: We reviewed and appraised the methods by which the issue of the learning curve has been addressed during health technology assessment in the past. Method: We performed a systematic review of papers in clinical databases (BIOSIS, CINAHL, Cochrane Library, EMBASE, HealthSTAR, MEDLINE, Science Citation Index, and Social Science Citation Index) using the search term "learning curve:" Results: The clinical search retrieved 4,571 abstracts for assessment, of which 559 (12%) published articles were eligible for review. Of these, 272 were judged to have formally assessed a learning curve. The procedures assessed were minimal access (51%), other surgical (41%), and diagnostic (8%). The majority of the studies were case series (95%). Some 47% of studies addressed only individual operator performance and 52% addressed institutional performance. The data were collected prospectively in 40%, retrospectively in 26%, and the method was unclear for 31%. The statistical methods used were simple graphs (44%), splitting the data chronologically and performing a t test or chi-squared test (60%), curve fitting (12%), and other model fitting (5%). Conclusions: Learning curves are rarely considered formally in health technology assessment. Where they are, the reporting of the studies and the statistical methods used are weak. As a minimum, reporting of learning should include the number and experience of the operators and a detailed description of data collection. Improved statistical methods would enhance the assessment of health technologies that require learning

Assessing the learning curve effect in health technologies: Lessons from the non-clinical literature

Introduction: Many health technologies exhibit some form of learning effect, and this represents a barrier to rigorous assessment. It has been shown that the statistical methods used are relatively crude. Methods to describe learning curves in fields outside medicine, for example, psychology and engineering, may be better. Methods: To systematically search non–health technology assessment literature (for example, PsycLit and Econlit databases) to identify novel statistical techniques applied to learning curves. Results: The search retrieved 9,431 abstracts for assessment, of which 18 used a statistical technique for analyzing learning effects that had not previously been identified in the clinical literature. The newly identified methods were combined with those previously used in health technology assessment, and categorized into four groups of increasing complexity: a) exploratory data analysis; b) simple data analysis; c) complex data analysis; and d) generic methods. All the complex structured data techniques for analyzing learning effects were identified in the nonclinical literature, and these emphasized the importance of estimating intra- and interindividual learning effects. Conclusion: A good dividend of more sophisticated methods was obtained by searching in nonclinical fields. These methods now require formal testing on health technology data sets