Cell-type-specific enhancement of deviance detection by synaptic zinc in the mouse auditory cortex.

Stimulus-specific adaptation is a hallmark of sensory processing in which a repeated stimulus results in diminished successive neuronal responses, but a deviant stimulus will still elicit robust responses from the same neurons. Recent work has established that synaptically released zinc is an endogenous mechanism that shapes neuronal responses to sounds in the auditory cortex. Here, to understand the contributions of synaptic zinc to deviance detection of specific neurons, we performed wide-field and 2-photon calcium imaging of multiple classes of cortical neurons. We find that intratelencephalic (IT) neurons in both layers 2/3 and 5 as well as corticocollicular neurons in layer 5 all demonstrate deviance detection; however, we find a specific enhancement of deviance detection in corticocollicular neurons that arises from ZnT3-dependent synaptic zinc in layer 2/3 IT neurons. Genetic deletion of ZnT3 from layer 2/3 IT neurons removes the enhancing effects of synaptic zinc on corticocollicular neuron deviance detection and results in poorer acuity of detecting deviant sounds by behaving mice.

Two Prediction Error Systems in the Nonlemniscal Inferior Colliculus: "Spectral" and "Nonspectral".

According to the predictive processing framework, perception emerges from the reciprocal exchange of predictions and prediction errors (PEs) between hierarchically organized neural circuits. The nonlemniscal division of the inferior colliculus (IC) is the earliest source of auditory PE signals, but their neuronal generators, properties, and functional relevance have remained mostly undefined. We recorded single-unit mismatch responses to auditory oddball stimulation at different intensities, together with activity evoked by two sequences of alternating tones to control frequency-specific effects. Our results reveal a differential treatment of the unpredictable "many-standards" control and the predictable "cascade" control by lemniscal and nonlemniscal IC neurons that is not present in the auditory thalamus or cortex. Furthermore, we found that frequency response areas of nonlemniscal IC neurons reflect their role in subcortical predictive processing, distinguishing three hierarchical levels: (1) nonlemniscal neurons with sharply tuned receptive fields exhibit mild repetition suppression without signaling PEs, thereby constituting the input level of the local predictive processing circuitry. (2) Neurons with broadly tuned receptive fields form the main, "spectral" PE signaling system, which provides dynamic gain compensation to near-threshold unexpected sounds. This early enhancement of saliency reliant on spectral features was not observed in the auditory thalamus or cortex. (3) Untuned neurons form an accessory, "nonspectral" PE signaling system, which reports all surprising auditory deviances in a robust and consistent manner, resembling nonlemniscal neurons in the auditory cortex. These nonlemniscal IC neurons show unstructured and unstable receptive fields that could result from inhibitory input controlled by corticofugal projections conveying top-down predictions.

Predictable and unpredictable deviance detection in the human hippocampus and amygdala.

Our brains extract structure from the environment and form predictions given past experience. Predictive circuits have been identified in wide-spread cortical regions. However, the contribution of medial temporal structures in predictions remains under-explored. The hippocampus underlies sequence detection and is sensitive to novel stimuli, sufficient to gain access to memory, while the amygdala to novelty. Yet, their electrophysiological profiles in detecting predictable and unpredictable deviant auditory events remain unknown. Here, we hypothesized that the hippocampus would be sensitive to predictability, while the amygdala to unexpected deviance. We presented epileptic patients undergoing presurgical monitoring with standard and deviant sounds, in predictable or unpredictable contexts. Onsets of auditory responses and unpredictable deviance effects were detected earlier in the temporal cortex compared with the amygdala and hippocampus. Deviance effects in 1-20 Hz local field potentials were detected in the lateral temporal cortex, irrespective of predictability. The amygdala showed stronger deviance in the unpredictable context. Low-frequency deviance responses in the hippocampus (1-8 Hz) were observed in the predictable but not in the unpredictable context. Our results reveal a distributed network underlying the generation of auditory predictions and suggest that the neural basis of sensory predictions and prediction error signals needs to be extended.

Dependence of rhythmic activity and oddball effects in the rat cortex on the depth of sedation during dissociative anesthesia.

The reactions to novelty manifesting in mismatch negativity in the rat brain were studied. During dissociative anesthesia, mismatch negativity-like waves were recorded from the somatosensory cortex using an epidural 32-electrode array. Experimental animals: 7 wild-type Wistar rats and 3 transgenic rats. During high-dose anesthesia, deviant 1,500 Hz tones were presented randomly among many standard 1,000 Hz tones in the oddball paradigm. "Deviant minus standard_before_deviant" difference waves were calculated using both the classical method of Naatanen and method of cross-correlation of sub-averages. Both methods gave consistent results: an early phasic component of the N40 and later N100 to 200 (mismatch negativity itself) tonic component. The gamma and delta rhythms power and the frequency of down-states (suppressed activity periods) were assessed. In all rats, the amplitude of tonic component grew with increasing sedation depth. At the same time, a decrease in gamma power with a simultaneous increase in delta power and the frequency of down-states. The earlier phasic frontocentral component is associated with deviance detection, while the later tonic one over the auditory cortex reflects the orienting reaction. Under anesthesia, this slow mismatch negativity-like wave most likely reflects the tendency of the system to respond to any influences with delta waves, K-complexes and down-states, or produce them spontaneously.

Masks as a moral symbol: Masks reduce wearers' deviant behavior in China during COVID-19.

Since the outbreak of COVID-19, mask wearing has become a global phenomenon. How do masks influence wearers' behavior in everyday life? We examine the effect of masks on wearers' deviant behavior in China, where mask wearing is mostly a public-health issue rather than a political issue. Drawing on behavioral ethics research, we test two competing hypotheses: (a) masks disinhibit wearers' deviant behavior by increasing their sense of anonymity and (b) masks are a moral symbol that reduces wearers' deviant behavior by heightening their moral awareness. The latter hypothesis was consistently supported by 10 studies (including direct replications) using mixed methods (e.g., traffic camera recording analysis, observational field studies, experiments, and natural field experiment) and different measures of deviant behavior (e.g., running a red light, bike parking in no-parking zones, cheating for money, and deviant behavior in the library). Our research (n = 68,243) is among the first to uncover the psychological and behavioral consequences of mask wearing beyond its health benefits.

Chronic pain - A maladaptive compensation to unbalanced hierarchical predictive processing.

The ability to perceive pain presents an interesting evolutionary advantage to adapt to an ever-changing environment. However, in the case of chronic pain (CP), pain perception hinders the capacity of the system to adapt to changing sensory environments. Similar to other chronic perceptual disorders, CP is also proposed to be a maladaptive compensation to aberrant sensory predictive processing. The local-global oddball paradigm relies on learning hierarchical rules and processing environmental irregularities at a local and global level. Prediction errors (PE) between actual and predicted input typically trigger an update of the forward model to limit the probability of encountering future PEs. It has been hypothesised that CP hinders forward model updating, reflected in increased local deviance and decreased global deviance. In the present study, we used the local-global paradigm to examine how CP influences hierarchical learning relative to healthy controls. As hypothesised, we observed that deviance in the stimulus characteristics evoked heightened local deviance and decreased global deviance of the stimulus-driven PE. This is also accompanied by respective changes in theta phase locking that is correlated with the subjective pain perception. Changes in the global deviant in the stimulus-driven-PE could also be explained by dampened attention-related responses. Changing the context of the auditory stimulus did not however show a difference in the context-driven PE. These findings suggest that CP is accompanied by maladaptive forward model updating where the constant presence of pain perception disrupts local deviance in non-nociceptive domains. Furthermore, we hypothesise that the auditory-processing based biomarker identified here could be a marker of domain-general dysfunction that could be confirmed by future research.

Using the role model approach to optimise caregiver administration of sulfadoxine-pyrimethamine amodiaquine to children aged 3-59 months in Burkina Faso, Chad and Togo: findings from an evaluation.

BACKGROUND: Seasonal malaria chemoprevention (SMC) is a World Health Organization-recommended intervention for the prevention of malaria among children at high risk in areas with seasonal transmission. During the coronavirus disease 2019 (COVID-19) pandemic, SMC drug distribution was rapidly adapted to reduce contact and mitigate the risk of transmission between communities and community distributors, with caregivers administering doses. To address the challenges and find local solutions to improve administration and adherence, the role model approach was designed, implemented and evaluated in selected communities of Burkina Faso, Chad and Togo. This paper describes the results of this evaluation. METHODS: Focus group discussions were held with primary caregivers in all three countries to understand their perceptions of the approach's acceptability and feasibility. In Burkina Faso and Togo, household surveys assessed the characteristics of caregivers reached by role model activities. Key indicators on SMC coverage and adherence allowed for an assessment of caregiver engagement outcomes related to participation in activities. Statistical associations between participation in study's activities and caregiver beliefs related to SMC had been tested. RESULTS: The majority of caregivers believed the approach to have a positive effect on drug administration, with most adopting the promoted strategies. Greater involvement of fathers in drug administration and acknowledgement of their joint responsibility was a notable positive outcome. However, several barriers to participation were noted and there was criticism of the group approach. In Burkina Faso and Togo, end-of-round survey results revealed that 98.4% of respondents agreed the approach improved their knowledge and skills in malaria prevention, while 100% expressed a desire to continue practicing the behaviours learned. However, there was a relatively low level of awareness of the approach among communities. Participation was strongly associated with participants' self-reported belief in ease of remembering to administer, and ease of administering, SMC medicines. CONCLUSION: Caregivers perceived the role model approach to be beneficial in aiding drug administration, with other positive impacts also reported. Replication and scale-up should utilize the most popular communication channels and existing community structures to ensure activities are promoted effectively. A mixture of group and one-on-one approaches should be used where appropriate and feasible.

A trans-Canadian positive deviance seminar for paraesophageal hernia surgery: Reporting national postoperative outcomes and consensus recommendations.

BACKGROUND: The incidence of adverse events (AEs) and length of stay (LOS) varies significantly following paraesophageal hernia surgery. We performed a Canadian multicenter positive deviance (PD) seminar to review individual center and national level data and establish holistic perioperative practice recommendations. METHODS: A national virtual PD seminar was performed in October 2021. Recent best evidence focusing on AEs and LOS was presented. Subsequently, anonymized center-level AE and LOS data collected between 01/2017 and 01/2021 from a prospective, web-based database that tracks postoperative outcomes was presented. The top two performing centers with regards to these metrics were chosen and surgeons from these hospitals discussed elements of their treatment pathways that contributed to these outcomes. Consensus recommendations were then identified with participants independently rating their level of agreement. RESULTS: Twenty-eight surgeons form 8 centers took part in the seminar across 5 Canadian provinces. Of the 680 included patients included, Clavien-Dindo grade I and II/III/IV/V complications occurred in 121/39/12/2 patients (17.8%/5.7%/1.8%/0.3%). Respiratory complications were the most common (effusion 12/680, 1.7% and pneumonia 9/680, 1.3%). Esophageal and gastric perforation occurred in 7 and 4/680, (1.0% and 0.6% respectively). Median LOS varied significantly between institutions (1 day, range 1-3 vs. 7 days, 3-8, p < 0.001). A strong level of agreement was achieved for 10/12 of the consensus statements generated. CONCLUSION: PD seminars provide a supportive forum for centers to review best evidence and experience and generate recommendations based on expert opinion. Further research is ongoing to determine if this approach effectively accomplishes this objective.

Red Ribbon Club inculcation of positive deviance approach to promote blood donation among undergraduate medical college students.

BACKGROUND: Blood is an essential part of human life and blood donation has become a necessity that every society must take into consideration. Health care professionals have a major responsibility in raising community awareness on blood donation. OBJECTIVE: This study aims to find out the knowledge and attitude of undergraduate medical students on blood donation and to determine the effectiveness of positive deviance (PD) approach. METHODOLOGY: This institutional based cross-sectional study was conducted as a part of World AIDS Days celebration by Red Ribbon club among 414 undergraduate students using convenient sampling technique. A baseline and endline survey were conducted using a pre-structured validated questionnaire. To address the knowledge gap PD approach was used for the students who had voluntarily donated blood, volunteered in providing health education, and shared their experience to their peers. Ethical principals were adhered. RESULTS: The mean age of the students was 20.4 ± 1.2 years. Most respondents had moderate knowledge on blood donation and positivity attitude towards the same. The key finding of our study is that about 45 students (10.9%) have donated blood till now. As a result of PD training session more than half of them volunteered to donate blood in the future. CONCLUSION: This study shows that awareness about blood donation were minimal among the medical students with misconceptions. After PD approach, the willingness was increased from 10% to 66%. Thus, PD approach builds capacity and leadership in volunteers is considered as the best approach for behavior change among their own peers.

The use of positive deviance approach to improve health service delivery and quality of care: a scoping review.

BACKGROUND: Quality has been a persistent challenge in the healthcare system, particularly in resource-limited settings. As a result, the utilization of innovative approaches is required to help countries in their efforts to enhance the quality of healthcare. The positive deviance (PD) approach is an innovative approach that can be utilized to improve healthcare quality. The approach assumes that solutions to problems are already available within the community and identifying and sharing those solutions can help others to resolve existing issues. Therefore, this scoping review aimed to synthesize the evidence regarding the use of the PD approach in healthcare system service delivery and quality improvement programs. METHODS: Articles were retrieved from six international databases. The last date for article search was June 02, 2023, and no date restriction was applied. All articles were assessed for inclusion through a title and/or abstract read. Then, articles that passed the title and abstract review were screened by reading their full texts. In case of duplication, only the full-text published articles were retained. A descriptive mapping and evidence synthesis was done to present data with the guide of the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist and the results are presented in text, table, and figure formats. RESULTS: A total of 125 articles were included in this scoping review. More than half, 66 (52.8%), of the articles were from the United States, 11(8.8%) from multinational studies, 10 (8%) from Canada, 8 (6.4%) from the United Kingdom and the remaining, 30 (24%) are from other nations around the world. The scoping review indicates that several types of study designs can be applied in utilizing the PD approach for healthcare service and quality improvement programs. However, although validated performance measures are utilized to identify positive deviants (PDs) in many of the articles, some of the selection criteria utilized by authors lack clarity and are subject to potential bias. In addition, several limitations have been mentioned in the articles including issues in operationalizing PD, focus on leaders and senior managers and limited staff involvement, bias, lack of comparison, limited setting, and issues in generalizability/transferability of results from prospects perspective. Nevertheless, the limitations identified are potentially manageable and can be contextually resolved depending on the nature of the study. Furthermore, PD has been successfully employed in healthcare service and quality improvement programs including in increasing surgical care quality, hand hygiene practice, and reducing healthcare-associated infections. CONCLUSION: The scoping review findings have indicated that healthcare systems have been able to enhance quality, reduce errors, and improve patient outcomes by identifying lessons from those who exhibit exceptional practices and implementing successful strategies in their practice. All the outcomes of PD-based research, however, are dependent on the first step of identifying true PDs. Hence, it is critical that PDs are identified using objective and validated measures of performance as failure to identify true PDs can subsequently lead to failure in identifying best practices for learning and dissemination to other contextually similar settings.

A Deviance Regulation Theory Intervention Affects the Association Between Narcissistic Traits and Alcohol Harm Reduction Strategies in College Students.

Background: College students continue to report problematic alcohol use. To mitigate adverse outcomes, recent studies have employed harm reduction strategies known as Protective Behavioral Strategies (PBS). Deviance Regulation Theory (DRT), an impression management intervention, has been used to promote the use of PBS. DRT relies on impression management to modify behavior. This may be especially important for individuals with higher levels of trait narcissism. Method: College student drinkers (n = 132) were randomly assigned to receive a positive message about PBS users, a negative message about non-PBS users, or control. Participants reported on current PBS use norms, daily alcohol use, PBS use, and any alcohol-related problems experienced during the previous week for the next 10 weeks. Results: Data were analyzed using multilevel regression to examine PBS use across time by condition. When PBS norms were low, narcissism was strongly associated with lower rates of PBS use in the control group. If individuals received a positive or negative message, the association between narcissism and PBS use was diminished, among individuals with low PBS norms. There were no significant differences at mean or high levels of norms, indicating the messaging was only important for the highest risk group (i.e., those with low PBS norms). Discussion: The results of this study suggest that message framing may be effective at reducing the robust negative association between narcissism and PBS use for individuals with low PBS norms. Positive messages about individuals that use PBS may be one approach to mitigating problematic alcohol consumption in this at-risk group.

Traditional social learning predicts cyber deviance? Exploring the offending versatility thesis in social learning theory.

Social learning theory has been widely implemented to understand cyber deviance. Nevertheless, the antecedent scholarship homogenously nested in the perspective of offending specification, leaving the offending versatility thesis unattained. The lack of such studies may undermine the capability of comprehensively understanding the social learning patterns of online offending. Using a sample of 3741 Chinese college students, this study estimated an array of binary logistic regressions to compare the effects of traditional and online social learning in four types of online offending (online sexual harassment, cyberbullying, hacking, and digital piracy). The results suggest that offending versatility and offending specification co-exist in the social learning process of cyber deviance, while offending specification explains a marginally greater variance. Besides, online learning variables act as potential mediators in the relationships between traditional learning and cyber deviance. Furthermore, traditional social learning shows greater predictive power in cyber-enabled crimes than in cyber-dependent crimes. Our study provides fresh empirical evidence for the non-exclusive association between offending versatility and offending specification in the social learning process of cyber deviance.

A Discourse of Deviance: Blame, Shame, Stigma and the Social Construction of Head and Neck Cancer.

Cancer of the head and neck is a confronting condition, as the disease and its treatments alter the appearance and function of body organs associated with physical appearance and identity. Many of the risk factors for head and neck cancers, including tobacco, alcohol, and human papilloma virus, can also have significant negative social and moral permutations. Language and action (discourse) plays an important role in constructing disease and illness and shape the way it is managed, both institutionally and socially. This research used a critical constructionist lens to investigate how the common discourses surrounding head and neck cancer are constructed within the healthcare context and how this influences patients and healthcare professionals' responses to the illness. Data were collected through semi-structured interviews, field noting, journaling and literature reviews. Analysis was guided by a three-dimensional approach to critical discourse analysis that investigated text, discursive practices, and social context. The overarching finding was that deviance dominates the common discourse and shapes head and neck cancer and responses to it. Deviance is channelled through metaphors, adjectives, descriptors, and collective nouns and is made overt through labelling, avoidance, blaming, shame, and categorization. Discourse is contextualized by a sociocultural understanding that when someone deviates from what is perceived as normal, they are devalued. Open dialogue and reflection on head and neck cancer discourse could enable better understanding of how people experience their condition and inform more supportive responses.

Theories on the Etiology of Deviant Sexual Interests: A Systematic Review.

Not much is known about the etiology, or development, of deviant sexual interests. The aim of this systematic review was to provide a broad overview of current theories on the etiology of sexual deviance. We conducted a systematic search of the databases PubMed and APA PsycInfo (EBSCO). Studies were included when they discussed a theory regarding the etiology or development of sexual deviance. Included studies were assessed on quality criteria for good theories. Common etiological themes were extracted using thematic analysis. We included 47 theories explaining sexual deviance in general as well as various specific deviant sexual interests, such as pedophilia and sadism/masochism. Few theories (k = 7) were of acceptable quality as suggested by our systematic assessment of quality criteria for good theories (QUACGOT). These theories indicated that deviant sexual interests may develop as the result of an interplay of various factors: excitation transfer between emotions and sexual arousal, conditioning, problems with "normative" sexuality, and social learning. Neurobiological findings could not be included as no acceptable quality neurobiological theories could be retrieved. The important roles of excitation transfer and conditioning designate that dynamic, changeable processes take part in the etiology of sexual deviance. These same processes could potentially be deployed to diminish unwanted deviant sexual interests.

The effect of toxic leadership on workplace deviance: the mediating effect of emotional exhaustion, and the moderating effect of organizational cynicism.

BACKGROUND: Toxic leadership is abusive, destructive, and detrimental to nurses, can decrease nurse morale, increase stress levels, diminish organizational performance, and cause employee emotional exhaustion. Emotional exhaustion, a key component of burnout, has been linked to decreased job performance and increased likelihood of engaging in deviant behaviors at work. Organizational cynicism, as a negative attitude or distrust towards the organization and its leadership, may exacerbate the relationship between toxic leadership and workplace deviance. This study aims to explore how toxic leadership, workplace deviance, emotional exhaustion, and organizational cynicism are interrelated in the nursing profession. METHOD: A multicenter descriptive, cross-sectional research design was conducted at three university hospitals affiliated with three Egyptian governorates: Zagazig, El-Fayoum, and Alexandria. Two hundred forty-three nurses completed the Personal and Job-related Data Questionnaire, Toxic Leadership Scale, Emotional Exhaustion Scale, Workplace Deviance Scale, and Organizational Cynicism Scale. Mediation analysis using SPSS PROCESS revealed that emotional exhaustion indirectly influences the relationship between toxic leadership and workplace deviance, while hierarchical multiple regression showed that organizational cynicism moderates this relationship, with linear regression confirming the predictive impact of these variables on workplace deviance. RESULTS: Toxic leadership exhibits a substantial positive influence on workplace deviance (B = 16.132, p < 0.001), as does emotional exhaustion (B = 8.760, p < 0.001) and organizational cynicism (B = 5.376, p = 0.036). Furthermore, the interaction terms of toxic leadership, organizational cynicism, and emotional exhaustion are significant (B = -3.012, p = 0.036). The negative coefficient of the interaction term implies a mitigating impact, indicating that the combined presence of high toxic leadership, high emotional exhaustion, and high organizational cynicism may counterintuitively reduce workplace deviance (t = -2.110). CONCLUSION: These results suggest that while toxic leadership, emotional exhaustion, and organizational cynicism each independently increase workplace deviance, their combined presence may unexpectedly reduce deviant behaviors. IMPLICATION FOR NURSING: These results highlight the significance of tackling toxic leadership practices and cultivating a positive organizational culture to enhance a healthier work environment and reduce instances of workplace deviance. Healthcare settings should prioritize interventions to improve leadership practices, enhance employee well-being, and cultivate a supportive organizational climate.

Effects of a Brief Safe Drinking Intervention on Depressive and Anxiety Symptomatology: Examining Potential Side Effects of Deviance Regulation Theory Interventions.

College students are at a heightened risk of experiencing depression and anxiety symptomatology and engaging in maladaptive alcohol use. Understanding how alcohol interventions impact emotional functioning is essential. One such intervention uses Deviance Regulation Theory (DRT), which posits that behavior can be modified using targeted messaging as a function of perceived norms. DRT has been shown to be effective at increasing responsible drinking behaviors and decreasing alcohol-related consequences. However, it is unclear if this intervention influences emotional functioning. The current examines the impact of a DRT intervention on emotional functioning. Participants (n = 147) were recruited from a large Southeastern university. The study included a screening phase, intervention, and six-week follow-up. Participants were randomly assigned to one of three conditions: a positive message condition about people who drink responsibly, a negative message condition about people who do not drink responsibly, and an active control condition. During the study, all participants reported on depression/anxiety symptoms, alcohol use, responsible drinking, and alcohol-related consequences. Mixed-effects regression was used to analyze the data. Results suggest an overall reduction of depressive and anxiety symptomatology in the intervention conditions but not in the control condition. In the positive condition, there was a decrease in depressive and anxiety symptomatology. The messaging was not moderated by normative beliefs. The negative condition also led to decreases in depression and anxiety symptomatology over time. In addition, perceived norms moderated the negative message in the first week after the intervention, an effect consistent with DRT. Prior research indicates this intervention is efficacious for the reduction of adverse alcohol outcomes; these data show that the intervention may also have positive effects on downstream mental health outcomes.

Reducing Overuse by Healthcare Systems: A Positive Deviance Analysis.

BACKGROUND: Healthcare in the USA is increasingly delivered by large healthcare systems that include one or more hospitals and associated outpatient practices. It is unclear what role healthcare systems play in driving or preventing overutilization of healthcare services in the USA. OBJECTIVE: To learn how high-value healthcare systems avoid overuse of services DESIGN: We identified "positive deviant" health systems using a previously constructed Overuse Index. These systems have much lower-than-average overuse of healthcare services. We confirmed that these health systems also delivered high-quality care. We conducted semi-structured interviews with executive leaders of these systems to validate a published framework for understanding drivers of overuse. PARTICIPANTS: Leaders at select healthcare systems in the USA. INTERVENTIONS: None APPROACH: We developed an interview guide and conducted semi-structured interviews. We iteratively developed a code book. Paired reviewers coded and reconciled each interview. We analyzed the interviews by applying constant comparative techniques. We mapped the emergent themes to provide the first empirical data to support a previously developed theoretical framework. KEY RESULTS: We interviewed 15 leaders from 10 diverse healthcare systems. Consistent with important domains from the overuse framework, themes from our study support the role of clinicians and patients in avoiding overuse. The leaders described how they create a culture of professional practice and how they modify clinicians' attitudes to facilitate high-value practices. They also described how their patients view healthcare consumption and the characteristics of their patient populations allowed them to practice high-value medicine. They described the role of quality metrics, insurance plan ownership, and alternative payment model participation as encouraging avoidance of overuse. CONCLUSIONS: Our qualitative analysis of positive deviant health systems supports the framework that is in the published literature, although health system leaders also described their financial structures as another important factor for reducing overuse and encouraging high-value care delivery.

Characterizing Alcohol Expectancies in the ABCD Study: Associations with Sociodemographic Factors, the Immediate Social Environment, and Genetic Propensities.

Alcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic propensities (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), sociodemographic factors (i.e., parent income), and the immediate social environment (i.e., peer use and disapproval toward alcohol) and positive and negative AEs in alcohol-naïve children (max analytic N = 5,352). Mixed-effect regression models showed that age, parental education, importance of the child's religious beliefs, adverse childhood experiences, and peer disapproval of alcohol use were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes.

Supervised convex clustering.

Clustering has long been a popular unsupervised learning approach to identify groups of similar objects and discover patterns from unlabeled data in many applications. Yet, coming up with meaningful interpretations of the estimated clusters has often been challenging precisely due to their unsupervised nature. Meanwhile, in many real-world scenarios, there are some noisy supervising auxiliary variables, for instance, subjective diagnostic opinions, that are related to the observed heterogeneity of the unlabeled data. By leveraging information from both supervising auxiliary variables and unlabeled data, we seek to uncover more scientifically interpretable group structures that may be hidden by completely unsupervised analyses. In this work, we propose and develop a new statistical pattern discovery method named supervised convex clustering (SCC) that borrows strength from both information sources and guides towards finding more interpretable patterns via a joint convex fusion penalty. We develop several extensions of SCC to integrate different types of supervising auxiliary variables, to adjust for additional covariates, and to find biclusters. We demonstrate the practical advantages of SCC through simulations and a case study on Alzheimer's disease genomics. Specifically, we discover new candidate genes as well as new subtypes of Alzheimer's disease that can potentially lead to better understanding of the underlying genetic mechanisms responsible for the observed heterogeneity of cognitive decline in older adults.

A two-level copula joint model for joint analysis of longitudinal and competing risks data.

In this article, we propose a two-level copula joint model to analyze clinical data with multiple disparate continuous longitudinal outcomes and multiple event-times in the presence of competing risks. At the first level, we use a copula to model the dependence between competing latent event-times, in the process constructing the submodel for the observed event-time, and employ the Gaussian copula to construct the submodel for the longitudinal outcomes that accounts for their conditional dependence; these submodels are glued together at the second level via the Gaussian copula to construct a joint model that incorporates conditional dependence between the observed event-time and the longitudinal outcomes. To have the flexibility to accommodate skewed data and examine possibly different covariate effects on quantiles of a non-Gaussian outcome, we propose linear quantile mixed models for the continuous longitudinal data. We adopt a Bayesian framework for model estimation and inference via Markov Chain Monte Carlo sampling. We examine the performance of the copula joint model through a simulation study and show that our proposed method outperforms the conventional approach assuming conditional independence with smaller biases and better coverage probabilities of the Bayesian credible intervals. Finally, we carry out an analysis of clinical data on renal transplantation for illustration.