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.

[Building the scientific commons. Conflictualities and pluralism in the light of clinical trials Covid-19]. / Faire du commun dans les sciences - Conflictualités et pluralisme à l'épreuve des essais cliniques COVID-19.

TITLE: Faire du commun dans les sciences - Conflictualités et pluralisme à l'épreuve des essais cliniques COVID-19. ABSTRACT: La crise de la COVID-19 s'est ouverte sur un déficit de moyens thérapeutiques permettant de lutter efficacement contre cette maladie pour les cas les plus graves et sur de nombreuses initiatives visant à mettre en évidence un traitement efficace. Si différentes options ont été explorées, parmi lesquelles la transfusion de plasma de patients guéris, la lutte contre les mécanismes immunitaires déclenchant une réponse trop forte (les orages cytokiniques) ou, à moyen terme, la vaccination, ce sont dans un premier temps surtout les médicaments antiviraux qui ont nourri les espoirs. Après l'identification d'un certain nombre de principes actifs montrant des effets in vitro, il s'agissait d'obtenir rapidement des réponses quant à leurs effets bénéfiques in vivo et aux risques induits. Aussi, s'est-on senti en droit d'attendre que la science nous apporte les connaissances nécessaires sur ces médicaments, qu'elle nous parle, une fois sollicitée, de manière claire et d'une seule voix ; et cela, dans une situation d'urgence où la synchronisation des rythmes de la recherche et du soin n'a rien d'une évidence.

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.

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.

Access of the patient to the cancer network under the "Sixty-Day Law": Integrative Review.

OBJECTIVES: to analyze Brazilian scientific production on patient access to the oncology network under the "Sixty-Day Law". METHODS: integrative review of the literature in the databases Lilacs, PubMed and Scielo. The descriptors used were: neoplasms, health services accessibility, early detection of cancer. Articles published from 2015 to March 2019 were included. RESULTS: 17 articles were analyzed and four themes emerged: inequality in access; qualification of Primary Care professionals; time as a determinant factor; information system as limiting factor. CONCLUSIONS: the access to the oncology network is unequal and there are several barriers faced by the users. A continuing education of health professionals is necessary to implement preventive strategies. Treatment initiation is late, showing non-compliance with the law. The health care network is highly fragmented, there is lack of coordination between the services and, consequently, there is a lack of patient follow-up.

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.

[SFBC working group "Biochemical markers of COVID-19"]. / Groupe de travail SFBC « Marqueurs biochimiques de COVID-19 ¼.

The SARS-CoV-2 virus is responsible for an epidemic disease called COVID-19, which was initially evidenced in Wuhan, China, and spread very rapidly in China and around the world. In France, the first isolated case seems now to be reported in December 2019, stage 3 of the COVID-19 epidemic was triggered on March 14th, the start of the planned containment exit from May 11th. Healthcare services have faced a large influx of patients who may be beyond their capacity to receive and care, particularly in the Large-East and Ile-de-France regions. Some patients show an evolution of the disease never observed before with other coronaviruses and develop in a few days a very important inflammatory reaction, which can lead to death of patients. A working group of the French Society of Clinical Biology (SFBC) was set up with the objective of providing updated information on the current status of the biological prescriptions (focusing on biochemistry ones) and their evolution during the epidemic, and of analyzing the biological parameters associated with comorbidities and patient evolution in order to link biological results with medical events. The expanded working group covers all sectors of medical biology in France and extends to the French-speaking world: hospital sectors (CHU and CH, Army Training Hospitals) and the private sector opening a field of view on the biological situation in establishments for dependent elderly, social establishments and clinical medical institutions. The purpose of this article is the presentation of this working group and its immediate and future actions.

Psychosocial care network: managers' perception and tensions of the field.

OBJECTIVE: to analyze the perception of workers and managers about the psychosocial care network in a medium-sized municipality in the inlands of the state of Minas Gerais. METHOD: qualitative, descriptive and exploratory study involving twelve participants from different points of the network. The semi-structured interviews were analyzed in the light of Pierre Bourdieu's framework of constructionist structuralism. RESULTS: the actions offered by the services were based on the perspectives of resocialization, user embracement, group and multiprofessional care, and on approaches to harm reduction, recreation and daily organization. These were configured as the network resources/capital. Tensions were identified in family embracement and in relationships between families and users, as well as in the prejudice towards people with mental disorders. Final considerations: the social agents were willing to contribute to processes of change in order to overcome the focus on specialties, the lack of training of some teams, lack of infrastructure and of some components, especially those related to leisure and community life.

Standards in Regulating Quality of Adult Community Health and Social Care: Systematic Narrative Review.

PURPOSE: The growing range and complexity of community care services require robust approaches to ensuring quality. METHOD: This review collated studies on the use of standards in regulating community health and social care using Social Care Online, MEDLINE and CINAHL databases. Studies were appraised by two reviewers and synthesized by study themes. RESULTS: Sixteen studies were synthesized under three themes: standards in quality assurance and quality improvement; effectiveness of standards; and design of regulatory standards. Standards facilitate providers in self-regulation and enable regulators to support and monitor improvement. Effectiveness of standards depends on their language and interpretation, and on organizational factors. There was little evidence of scales within quality standards. DISCUSSION: There is continuing debate about self-regulation versus external regulation. Social care service regulation requires more research. CONCLUSION: Regulatory organizations should take note of wider initiatives toward evidence-based practice in the design of quality standards.

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.

Network Implementation of Guideline for Early Detection Decreases Age at Cerebral Palsy Diagnosis.

BACKGROUND AND OBJECTIVES: Early diagnosis of cerebral palsy (CP) is critical in obtaining evidence-based interventions when plasticity is greatest. In 2017, international guidelines for early detection of CP were published on the basis of a systematic review of evidence. Our study aim was to reduce the age at CP diagnosis throughout a network of 5 diverse US high-risk infant follow-up programs through consistent implementation of these guidelines. METHODS: The study leveraged plan-do-study-act and Lean methodologies. The primary outcome was age at CP diagnosis. Data were acquired during the corresponding 9-month baseline and quarterly throughout study. Balancing measures were clinic no-show rates and parent perception of the diagnosis visit. Clinic teams conducted strengths, weaknesses, opportunities, and threats analyses, process flow evaluations, standardized assessments training, and parent questionnaires. Performance of a 3- to 4-month clinic visit was a critical process step because it included a Hammersmith Infant Neurologic Examination, a General Movements Assessment, and standardized assessments of motor function. RESULTS: The age at CP diagnosis decreased from a weighted average of 19.5 (95% confidence interval 16.2 to 22.8) to 9.5 months (95% confidence interval 4.5 to 14.6), with P = .008; 3- to 4-month visits per site increased from the median (interquartile range) 14 (5.2-73.7) to 54 (34.5-152.0), with P < .001; and no-show rates were not different. Parent questionnaires revealed positive provider perception with improvement opportunities for information content and understandability. CONCLUSIONS: Large-scale implementation of international guidelines for early detection of CP is feasible in diverse high-risk infant follow-up clinics. The initiative was received positively by families and without adversely affecting clinic operational flow. Additional parent support and education are necessary.

[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.