Leveraging natural history biorepositories as a global, decentralized, pathogen surveillance network.

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic reveals a major gap in global biosecurity infrastructure: a lack of publicly available biological samples representative across space, time, and taxonomic diversity. The shortfall, in this case for vertebrates, prevents accurate and rapid identification and monitoring of emerging pathogens and their reservoir host(s) and precludes extended investigation of ecological, evolutionary, and environmental associations that lead to human infection or spillover. Natural history museum biorepositories form the backbone of a critically needed, decentralized, global network for zoonotic pathogen surveillance, yet this infrastructure remains marginally developed, underutilized, underfunded, and disconnected from public health initiatives. Proactive detection and mitigation for emerging infectious diseases (EIDs) requires expanded biodiversity infrastructure and training (particularly in biodiverse and lower income countries) and new communication pipelines that connect biorepositories and biomedical communities. To this end, we highlight a novel adaptation of Project ECHO's virtual community of practice model: Museums and Emerging Pathogens in the Americas (MEPA). MEPA is a virtual network aimed at fostering communication, coordination, and collaborative problem-solving among pathogen researchers, public health officials, and biorepositories in the Americas. MEPA now acts as a model of effective international, interdisciplinary collaboration that can and should be replicated in other biodiversity hotspots. We encourage deposition of wildlife specimens and associated data with public biorepositories, regardless of original collection purpose, and urge biorepositories to embrace new specimen sources, types, and uses to maximize strategic growth and utility for EID research. Taxonomically, geographically, and temporally deep biorepository archives serve as the foundation of a proactive and increasingly predictive approach to zoonotic spillover, risk assessment, and threat mitigation.

Risk factors for obsessive-compulsive symptoms. Follow-up of a community-based youth cohort.

Environmental factors are at least as important as genetic factors for the development of obsessive-compulsive symptoms (OCS), but the identification of such factors remain a research priority. Our study aimed to investigate the association between a broad scope of potential risk factors and OCS in a large community cohort of children and adolescents. We evaluated 1877 participants and their caregivers at baseline and after 3 years to assess various demographic, prenatal, perinatal, childhood adversity, and psychopathological factors. Mean age at baseline was 10.2 years (SD 1.9) and mean age at follow-up was 13.4 years (SD 1.9). Reports of OCS at baseline and follow-up were analyzed using latent variable models. At preliminary regression analysis, 15 parameters were significantly associated with higher OCS scores at follow-up. At subsequent regression analysis, we found that eight of these parameters remained significantly associated with higher follow-up OCS scores while being controlled by each other and by baseline OCS scores. The significant predictors of follow-up OCS were: lower socioeconomic status (p = 0.033); lower intelligence quotient (p = 0.013); lower age (p < 0.001); higher maternal stress level during pregnancy (p = 0.028); absence of breastfeeding (p = 0.017); parental baseline OCS (p = 0.038); youth baseline anxiety disorder (p = 0.023); and youth baseline OCS scores (p < 0.001). These findings may better inform clinicians and policymakers engaged in the mental health assessment and prevention in children and adolescents.

Methodological procedures followed in a school-and community-based intervention to prevent type 2 diabetes in vulnerable families across Europe: the Feel4Diabetes-study.

Feel4Diabetes (standing for: Families across Europe following a hEalthy Lifestyle for Diabetes prevention, http://feel4diabetes-study.eu/) is a school and community based intervention program, aiming to prevent type 2 diabetes (T2D) among families from vulnerable population groups, in six European countries, by promoting healthy lifestyle. In the current issue of BMC Endocrine Disorders, three reviews and three papers providing a detailed description of the methodology used to obtain measurements related to the trial conduction, as well as two papers using original data collected in the Feel4Diabetes-study are presented.

Intra- and inter- observer reliability of anthropometric measurements and blood pressure in primary schoolchildren and adults: the Feel4Diabetes-study.

BACKGROUND: Feel4Diabetes was a large-scale, multicenter lifestyle intervention aiming to prevent type 2 diabetes among families from vulnerable population groups in six European countries (Belgium, Bulgaria, Finland, Greece, Hungary and Spain). The current study aimed to describe the process that was followed to harmonize and standardize the measurement of anthropometric (weight, height and waist circumference) and blood pressure (systolic and diastolic) indices, as well as to assess the intra- and inter- observer reliability of these measurements. METHODS: A central training workshop was conducted prior to the baseline measurements of the Feel4Diabetes-intervention. One researcher from each intervention country, as well as 12 adults and 12 children (for the anthropometric measurements) and 21 adults (for the blood pressure measurements) participated in this workshop. Technical Error of Measurement (TEM) and reliability (%R) were calculated to assess the reliability of the indices which were assessed to evaluate the outcome of the Feel4Diabetes-intervention. The Feel4Diabetes-intervention is registered at https://clinicaltrials.gov/ (NCT02393872). RESULTS: Intra-observer reliability was found to be higher than 99.5% for all anthropometric measurements in both children and adults. Inter-observer reliability was found to be higher than 98% regarding the anthropometric measurements, while for blood pressure measurements %R was 76.62 and 91.38% for systolic and diastolic blood pressure measurements, respectively. CONCLUSION: The central training of the Fee4Diabetes-intervention ensured that the data collected for the outcome evaluation of the Feel4Diabetes-intervention in the six European countries at three different time points (baseline, follow-up 1 and follow-up 2) were valid and comparable.

Key characteristics and critical junctures for successful Interprofessional networks in healthcare - a case study.

BACKGROUND: The use of networks in healthcare has been steadily increasing over the past decade. Healthcare networks reduce fragmented care, support coordination amongst providers and patients, improve health system efficiencies, support better patient care and improve overall satisfaction of both patients and healthcare professionals. There has been little research to date on the implementation, development and use of small localized networks. This paper describes lessons learned from a successful small localized primary care network in Southwestern Ontario that developed and implemented a regional respiratory care program (The ARGI Respiratory Health Program - ARGI is a not-for-profit corporation leading the implementation and evaluation of a respiratory health program. Respiratory therapists (who have a certified respiratory educators designation), care for patients from all seven of the network's FHTs. Patients rostered within the network of FHTs that have been diagnosed with a chronic respiratory disease are referred by their family physicians to the program. The RTs are integrated into the FHTs, and work in a triad along with patients and providers to educate and empower patients in self-management techniques, create exacerbation action plans, and act as a liaison between the patient's care providers. ARGI uses an eTool designed specifically for use by the network to assist care delivery, choosing education topics, and outcome tracking. RTs are hired by ARGI and are contracted to the participating FHTs in the network.). METHODS: This study used an exploratory case study approach. Data from four participant groups was collected using focus groups, observations, interviews and document analysis to develop a rich understanding of the multiple perspectives associated with the network. RESULTS: This network's success can be described by four characteristics (growth mindset and quality improvement focus; clear team roles that are strengths-based; shared leadership, shared success; and transparent communication); and five critical junctures (acknowledge a shared need; create a common vision that is flexible and adaptable depending on the context; facilitate empowerment; receive external validation; and demonstrate the impacts and success of their work). CONCLUSIONS: Networks are used in healthcare to act as integrative, interdisciplinary tools to connect individuals with the aim of improving processes and outcomes. We have identified four general lessons to be learned from a successful small and localized network: importance of clear, flexible, and strengths-based roles; need for shared goals and vision; value of team support and empowerment; and commitment to feedback and evaluations. Insight from this study can be used to support the development and successful implementation of other similar locally developed networks.

Assessing Community Health Information Systems: Evidence from Child Health Records in Food Insecure Areas of the Ethiopian Highlands.

OBJECTIVES: This study assessed the completeness of child health records maintained and collected within community health information system in Ethiopia. METHODS: A household listing was carried out in 221 enumeration areas in food insecure areas of Ethiopia to determine the presence of a child less than 24-months. This list of children was then compared against the information stored at the local health posts. A household survey was administered to a sample of 2155 households that had a child less than 24-months of age to assess determinants and consequences of exclusion from the health post registers. RESULTS: Out of the 10,318 children identified during the listing, 36% were found from the health post records. Further analysis based on the household survey data indicated that health posts that had adopted nationally recommended recordkeeping practices had more complete records (p < 0.01) and that children residing farther from health posts were less likely to be found from the registers (p < 0.05). Mothers whose child was found from the registers were more likely to know a health extension worker (p < 0.01), had a contact with one (p < 0.01), and their child was more likely to have received growth monitoring (p < 0.05). CONCLUSIONS FOR PRACTICE: The incompleteness of the data collected at the health posts poses a challenge for effective implementation of the national health extension program and various complementary programs in Ethiopia.

Epidemiological Characterization of a Directed and Weighted Disease Network Using Data From a Cohort of One Million Patients: Network Analysis.

BACKGROUND: In the past 20 years, various methods have been introduced to construct disease networks. However, established disease networks have not been clinically useful to date because of differences among demographic factors, as well as the temporal order and intensity among disease-disease associations. OBJECTIVE: This study sought to investigate the overall patterns of the associations among diseases; network properties, such as clustering, degree, and strength; and the relationship between the structure of disease networks and demographic factors. METHODS: We used National Health Insurance Service-National Sample Cohort (NHIS-NSC) data from the Republic of Korea, which included the time series insurance information of 1 million out of 50 million Korean (approximately 2%) patients obtained between 2002 and 2013. After setting the observation and outcome periods, we selected only 520 common Korean Classification of Disease, sixth revision codes that were the most prevalent diagnoses, making up approximately 80% of the cases, for statistical validity. Using these data, we constructed a directional and weighted temporal network that considered both demographic factors and network properties. RESULTS: Our disease network contained 294 nodes and 3085 edges, a relative risk value of more than 4, and a false discovery rate-adjusted P value of <.001. Interestingly, our network presented four large clusters. Analysis of the network topology revealed a stronger correlation between in-strength and out-strength than between in-degree and out-degree. Further, the mean age of each disease population was related to the position along the regression line of the out/in-strength plot. Conversely, clustering analysis suggested that our network boasted four large clusters with different sex, age, and disease categories. CONCLUSIONS: We constructed a directional and weighted disease network visualizing demographic factors. Our proposed disease network model is expected to be a valuable tool for use by early clinical researchers seeking to explore the relationships among diseases in the future.

Managing COVID-19 With a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation.

BACKGROUND: The coronavirus disease (COVID-19) pandemic has resulted in significant morbidity and mortality; large numbers of patients require intensive care, which is placing strain on health care systems worldwide. There is an urgent need for a COVID-19 disease severity assessment that can assist in patient triage and resource allocation for patients at risk for severe disease. OBJECTIVE: The goal of this study was to develop, validate, and scale a clinical decision support system and mobile app to assist in COVID-19 severity assessment, management, and care. METHODS: Model training data from 701 patients with COVID-19 were collected across practices within the Family Health Centers network at New York University Langone Health. A two-tiered model was developed. Tier 1 uses easily available, nonlaboratory data to help determine whether biomarker-based testing and/or hospitalization is necessary. Tier 2 predicts the probability of mortality using biomarker measurements (C-reactive protein, procalcitonin, D-dimer) and age. Both the Tier 1 and Tier 2 models were validated using two external datasets from hospitals in Wuhan, China, comprising 160 and 375 patients, respectively. RESULTS: All biomarkers were measured at significantly higher levels in patients who died vs those who were not hospitalized or discharged (P<.001). The Tier 1 and Tier 2 internal validations had areas under the curve (AUCs) of 0.79 (95% CI 0.74-0.84) and 0.95 (95% CI 0.92-0.98), respectively. The Tier 1 and Tier 2 external validations had AUCs of 0.79 (95% CI 0.74-0.84) and 0.97 (95% CI 0.95-0.99), respectively. CONCLUSIONS: Our results demonstrate the validity of the clinical decision support system and mobile app, which are now ready to assist health care providers in making evidence-based decisions when managing COVID-19 patient care. The deployment of these new capabilities has potential for immediate impact in community clinics and sites, where application of these tools could lead to improvements in patient outcomes and cost containment.

Changing home care aides: Differences between family and non-family care in California Medicaid home and community-based services.

In California Medicaid home-and-community-based services (HCBS), recipients' family members receive payment as home care aides (HCAs). We analyzed data on first-time HCBS recipients to examine factors associated with the likelihood of switching HCAs within the first year of services. Those with family HCAs were less than half as likely to change than those with non-family HCAs and racial/ethnic minorities with non-family HCAs had the highest switching rates. Lower wages and local unemployment were associated with switching of non-family HCAs but not family HCAs. Policymakers can foster continuity of home care by paying family members for home care and raising worker wages.

[Childhood cancer in part of France: Key issues and organization of care in Corsica island]. / État des lieux des maladies onco-hématologiques pédiatriques en Corse et organisation des soins.

INTRODUCTION: In France, the management of pediatric cancers is carried out in reference hospitals that can delegate care to local health centres (LHC), forming "care networks". There is no LHC in Corsica, forcing children and their families to leave the island for all care in the reference centre. The aim of this study was to describe the situation in Corsica and to consider this organisation. METHODS: This is a descriptive preliminary study based on databases from the National Childhood Cancer Registry, "RHeOP" network and a patient questionnaire. We included over a period of 10 years all children with onco-hematological disease who resided in Corsica. RESULTS: The incidence of pediatric cancers since 2005 ranged from 5 to 12 new cases per year. The hospital centre of Timone (Marseille) was the reference centre for 73% of patients, followed by Nice University Hospital for 14%. Almost all the parents interviewed (90%) were in favour of creating an LHC and all of them highlighted many difficulties that, according to them, could be improved by the presence of a LHC in Corsica (organisation of travel, delay and distance from home…). However, there currently appears to be a lack of training for medical and paramedical staff to provide quality second-line care. CONCLUSION: The rates of pediatric onco-hematological diseases in Corsica may warrant the creation of an LHC on the island. Additional cost studies on the feasibility of an LHC in Corsica are needed to optimise the care and quality of life of these children and their families.

Tavistock Neighbourhood Nursing Network: collaboration across settings.

The modern matron role in Tavistock has been developed to extend beyond the community hospital to oversee the provision of high-quality care across community nursing services by promoting a collaborative approach to learning and development, via the establishment of a Neighbourhood Nursing Network (NNN). The Tavistock NNN helps nurses to support each other to improve practice and work collaboratively. The aim is to target health promotion and ill health prevention where it will be most effective in order to make services sustainable for the future, including engaging with young people for the purpose of preventing illness. By being part of the network, the nurses have greater power to identify patients or groups of patients at risk of health inequalities and develop innovative ways to promote good health and prevent ill health. The project aims to ensure that high-quality care is delivered throughout the neighbourhood, giving patients and residents the confidence that standards will be consistent in all settings. The network has removed barriers between nursing services and facilitated multidisciplinary working for the benefit of the community they serve.

Primary care networks: an opportunity to improve community wound care.

Primary care networks (PCNs) were introduced in England in 2019 to bring about closer collaboration between general practice and community health services. The ambition is that greater collaboration between services will achieve better patient outcomes and reduce costs through more effective sharing of staff and resources. Wound care might be considered an ideal focus for PCNs, since general practice and community health services not only have a predominant role in the management of wounds, but variable and suboptimal practice continues and poor outcomes persist. This article investigates some ways in which PCNs might enable health-system changes that could improve the provision of wound care.

Give the trauma patient what they bleed, when and where they need it: establishing a comprehensive regional system of resuscitation based on patient need utilizing cold-stored, low-titer O+ whole blood.

BACKGROUND: Despite countless advancements in trauma care a survivability gap still exists in the prehospital setting. Military studies clearly identify hemorrhage as the leading cause of potentially survivable prehospital death. Shifting resuscitation from the hospital to the point of injury has shown great promise in decreasing mortality among the severely injured. MATERIALS AND METHODS: Our regional trauma network (Southwest Texas Regional Advisory Council) developed and implemented a multiphased approach toward facilitating remote damage control resuscitation. This approach required placing low-titer O+ whole blood (LTO+ WB) at helicopter emergency medical service bases, transitioning hospital-based trauma resuscitation from component therapy to the use of whole blood, modifying select ground-based units to carry and administer whole blood at the scene of an accident, and altering the practices of our blood bank to support our new initiative. In addition, we had to provide information and training to an entire large urban emergency medical system regarding changes in policy. RESULTS: Through a thorough, structured program we were able to successfully implement point-of-injury resuscitation with LTO+ WB. Preliminary evaluation of our first 25 patients has shown a marked decrease in mortality compared to our historic rate using component therapy or crystalloid solutions. Additionally, we have had zero transfusion reactions or seroconversions. CONCLUSION: Transfusion at the scene within minutes of injury has the potential to save lives. As our utilization expands to our outlying network we expect to see a continued decrease in mortality among significantly injured trauma patients.

Rectal cancer patients younger than 50 years lack a survival benefit from NCCN guideline-directed treatment for stage II and III disease.

BACKGROUND: The incidence of rectal cancer in patients younger than 50 years is increasing. To test the hypothesis that the biology in this younger cohort may differ, this study compared survival patterns, stratifying patients according to National Comprehensive Cancer Network (NCCN) guideline-driven care and age. METHODS: The National Cancer Data Base was queried for patients treated with curative-intent transabdominal resections with negative surgical margins for stage I to III rectal cancer between 2004 and 2014. Outcomes and overall survival for patients younger than 50 years and patients 50 years old or older were compared by subgroups based on NCCN guideline-driven care. RESULTS: A total of 43,106 patients were analyzed. Younger patients were more likely to be female and minorities, to be diagnosed at a higher stage, and to have travelled further to be treated at academic/integrated centers. Short- and long-term outcomes were significantly better for patients younger than 50 years, with age-specific survival rates calculated. Younger patients were more likely to receive radiation treatment outside NCCN guidelines for stage I disease. In younger patients, the administration of neoadjuvant chemoradiation for stage II and III disease was not associated with an overall survival benefit. CONCLUSIONS: Age-specific survival data for patients with rectal cancer treated with curative intent do not support an overall survival benefit from NCCN guideline-driven therapy for stage II and III patients younger than 50 years. These data suggest that early-onset disease may differ biologically and in its response to multimodality therapy.

Concordance with NCCN treatment guidelines: Relations with health care utilization, cost, and mortality in breast cancer patients with secondary metastasis.

BACKGROUND: The impact of National Comprehensive Cancer Network (NCCN) treatment guideline concordance on costs, health care utilization, and mortality for patients with breast cancer and secondary metastases is unknown. METHODS: From 2007 to 2013, women with early-stage breast cancer who received treatment for secondary metastases (n = 5651) were evaluated for first recorded systemic therapy concordance with NCCN guidelines within the Surveillance, Epidemiology, and End Results Program-Medicare linked database. Generalized linear and mixed effects models evaluated factors associated with nonconcordance and the relation between concordance status and health care utilization and costs. Mortality risk was estimated with Cox regression. RESULTS: Eighteen percent of the patients received nonconcordant therapy, with the most common being single-agent, human epidermal growth factor receptor 2 (HER2)-targeted therapy (36%), therapy mismatched with the estrogen receptor/HER2 status (11%), unapproved bevacizumab regimens (10%), and adjuvant regimens in a metastatic setting (6%). A younger age, a hormone receptor-negative status, and a HER2-positive status were associated with nonconcordance (P < .05). Nonconcordance was associated with 22% and 21% increased rates of emergency department visits and hospitalizations, respectively, and $1765 higher average monthly Medicare costs. Differences in adjusted mortality risk were noted by the category of nonconcordance; single-agent, HER2-targeted therapy was associated with decreased mortality risk (hazard ratio [HR], 0.66; 95% confidence limit [CL], 0.57-0.76), and increased mortality risk was observed with unapproved bevacizumab use (HR, 1.40; 95% CL, 1.13-1.74). CONCLUSIONS: Most patients (82%) received treatment consistent with NCCN guidelines. Nonconcordant treatment was associated with higher health care utilization and costs, with mortality differences observed by the type of guideline deviation. Consideration of both patient and financial outcomes will be important as health systems increase the emphasis on guideline-based care.

Sustaining quality in the community: trends in the performance of a structured diabetes care programme in primary care over 16 years.

AIM: To examine the quality of care delivered by a structured primary care-led programme for people with Type 2 diabetes mellitus in 1999-2016. METHODS: The Midland Diabetes Structured Care Programme provides structured primary care-led management. Trends over time in care processes were examined (using a chi-squared trend test and age- and gender-adjusted logistic regression). Screening and annual review attendance were reviewed. A composite of eight National Institute for Health and Care Excellence-recommended processes was used as a quality indicator. Participants who were referred to diabetes nurse specialists were compared with those not referred (Student's t-test, Pearson's chi-squared test, Wilcoxon-Mann-Whitney test). Proportions achieving outcome targets [HbA1c ≤58 mmol/mol (7.5%), blood pressure ≤140/80 mmHg, cholesterol <5.0 mmol/l] were calculated. RESULTS: Data were available for people with diabetes aged ≥18 years: 1998/1999 (n=336); 2003 (n=843); 2008 (n=988); and 2016 (n=1029). Recording of some processes improved significantly over time (HbA1c , cholesterol, blood pressure, creatinine), and in 2016 exceeded 97%. Foot assessment and annual review attendance declined. In 2016, only 29% of participants had all eight National Institute for Health and Care Excellence processes recorded. A higher proportion of people with diabetes who were referred to a diabetes nurse specialist had poor glycaemic control compared with those not referred. The proportions meeting blood pressure and lipid targets increased over time. CONCLUSIONS: Structured primary care led to improvements in the quality of care over time. Poorer recording of some processes, a decline in annual review attendance, and participants remaining at high risk suggest limits to what structured care alone can achieve. Engagement in continuous quality improvement to target other factors, including attendance and self-management, may deliver further improvements.

The effect of provider affiliation with a primary care network on emergency department visits and hospital admissions.

BACKGROUND: Primary care networks are designed to facilitate access to inter-professional, team-based care. We compared health outcomes associated with primary care networks versus conventional primary care. METHODS: We obtained data on all adult residents of Alberta who visited a primary care physician during fiscal years 2008 and 2009 and classified them as affiliated with a primary care network or not, based on the physician most involved in their care. The primary outcome was an emergency department visit or nonelective hospital admission for a Patient Medical Home indicator condition (asthma, chronic obstructive pulmonary disease, heart failure, coronary disease, hypertension and diabetes) within 12 months. RESULTS: Adults receiving care within a primary care network (n = 1 502 916) were older and had higher comorbidity burdens than those receiving conventional primary care (n = 1 109 941). Patients in a primary care network were less likely to visit the emergency department for an indicator condition (1.4% v. 1.7%, mean 0.031 v. 0.035 per patient, adjusted risk ratio [RR] 0.98, 95% confidence interval [CI] 0.96-0.99) or for any cause (25.5% v. 30.5%, mean 0.55 v. 0.72 per patient, adjusted RR 0.93, 95% CI 0.93-0.94), but were more likely to be admitted to hospital for an indicator condition (0.6% v. 0.6%, mean 0.018 v. 0.017 per patient, adjusted RR 1.07, 95% CI 1.03-1.11) or all-cause (9.3% v. 9.1%, mean 0.25 v. 0.23 per patient, adjusted RR 1.08, 95% CI 1.07-1.09). Patients in a primary care network had 169 fewer all-cause emergency department visits and 86 fewer days in hospital (owing to shorter lengths of stay) per 1000 patient-years. INTERPRETATION: Care within a primary care network was associated with fewer emergency department visits and fewer hospital days.

[Heart failure networks and centers : What does everyday life look like?] / Herzinsuffizienznetzwerke und -zentren : Wie sieht der Alltag aus?

The German Cardiac Society (DGK) and the German Society for Thoracic and Cardiovascular Surgery (DGTHG) jointly advocated the initiation and certification of heart failure (HF) networks in a position statement in 2016. In these networks, supraregional HF centers cooperate with specialized regional HF clinics and registered cardiologists to improve intersectoral treatment of patients with HF. So far predominantly supraregional HF centers have achieved certification but more recently regional clinics as well as registered cardiologists have applied for certification, now enabling the comprehensive establishment of HF networks. In this article the background, the current situation and the future perspectives of HF networks are assessed and approaches for better networking are discussed.

The Association among Default Mode Network Functional Connectivity, Mentalization, and Psychopathology in a Nonclinical Sample: An eLORETA Study.

AIMS: We investigated default mode network (DMN) electroencephalography (EEG) functional connectivity differences between individuals with self-reported high mentalization capability and low psychopathological symptoms, versus participants with mentalization impairments and high psychopathological symptoms. METHODS: Forty-nine students (35 women) with a mean age of 22.92 ± 2.53 years were administered the Mentalization Questionnaire (MZQ) and the Symptom Checklist-90-Revised. Five minutes of EEG during resting state were also recorded for each participant. DMN functional connectivity analyses were conducted by means of the exact Low Resolution Electric Tomography software (eLORETA). RESULTS: Compared to the individuals with high mentalization capability and lower self-reported psychopathological symptoms, participants with mentalization impairments and high psychopathological symptoms showed a decrease of EEG beta connectivity between: (i) the right and left medial frontal lobe, and (ii) the left medial frontal lobe and the right anterior cingulate cortex. Furthermore, while MZQ total score was positively associated with DMN network connections (i.e., right and left medial frontal lobes), several psychopathological symptoms (i.e., interpersonal sensitivity, depression, and psychoticism) were negatively associated with DMN connectivity. CONCLUSION: Our results may reflect a top-down emotion regulation deficit which is associated with both internalizing and externalizing behavior problems.

[Satisfaction of a pharmacovigilance declaration support network in general practice]. / Satisfaction des médecins généralistes d'un réseau d'aide à la déclaration de pharmacovigilance PharmacoMIP-MG.

OBJECTIVE: General practitioners (GPs) report little adverse drug reactions (ADR), although it is mandatory in France. The objective was to evaluate the satisfaction of the GPs who participated to a pharmacovigilance ADR declaration support network via a clinical research assistant (CRA) moving to their GP office in the French South-West region of Midi-Pyrénées. STUDY DESIGN: A satisfaction questionnaire was sent to the 59 active GPs of this network in November 2016. RESULTS: A total number of 44 GPs responded to the survey (mean age 44±11years; 48% of women). The overall satisfaction grade was rated 9/10 (SD±1). The personalized help from a CRA was highly appreciated (n=39; 89%), reduced time-loss (n=35; 90%), and facilitated communication with the local pharmacovigilance department (n=33; 85%). Most GP (95%; n=35) stated that they would keep reporting ADRs, 83% (n=35) stated to declare ADRs via the CRA, the others stated to declare ADRs directly to the Regional Pharmacovigilance Center, mainly via numerical or online tools. For 59% (n=26) their participation to the network had a positive impact on their relationship with patients through the improvement of their vigilance to ADR. DISCUSSION: Most of the active GP answered. They were very satisfied of the pharmacovigilance CRA network helping ADR reports. It may corroborate the increase of ADRs reporting in Midi-Pyrénées since this network was set up.