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Abstract Background Childhood obesity is a chronic disease with negative physical and psychosocial health consequences. To manage childhood overweight and obesity, integrated care as part of an integrated approach is needed. To realise implementation of this integrated care, practical guidance for policy and practice is needed. The aim of this study is to describe the development of a Dutch national model of integrated care for childhood overweight and obesity and accompanying materials for policy and practice. Methods The development of the national model was led by a university-based team in collaboration with eight selected Dutch municipalities who were responsible for the local realisation of the integrated care and with frequent input from other stakeholders. Learning communities were organised to exchange knowledge, experiences and tools between the participating municipalities. Results The developed national model describes the vision, process, partners and finance of the integrated care. It sets out a structure that provides a basis for local integrated care that should facilitate support and care for children with overweight or obesity and their families. The accompanying materials are divided into materials for policymakers to support local realisation of the integrated care and materials for healthcare professionals to support them in delivering the needed support and care. Conclusions The developed national model and accompanying materials can contribute to improvement of support and care for children with overweight or obesity and their families, and thereby help improve the health, quality of life and societal participation of these children. Further implementation of the evidence- and practice-based integrated care while evaluating on the way is needed.

Background: Childhood obesity is a chronic disease with negative physical and psychosocial health consequences. To manage childhood overweight and obesity, integrated care as part of an integrated approach is needed. To realise implementation of this integrated care, practical guidance for policy and practice is needed. The aim of this study is to describe the development of a Dutch national model of integrated care for childhood overweight and obesity and accompanying materials for policy and practice. Methods: The development of the national model was led by a university-based team in collaboration with eight selected Dutch municipalities who were responsible for the local realisation of the integrated care and with frequent input from other stakeholders. Learning communities were organised to exchange knowledge, experiences and tools between the participating municipalities. Results: The developed national model describes the vision, process, partners and finance of the integrated care. It sets out a structure that provides a basis for local integrated care that should facilitate support and care for children with overweight or obesity and their families. The accompanying materials are divided into materials for policymakers to support local realisation of the integrated care and materials for healthcare professionals to support them in delivering the needed support and care. Conclusions: The developed national model and accompanying materials can contribute to improvement of support and care for children with overweight or obesity and their families, and thereby help improve the health, quality of life and societal participation of these children. Further implementation of the evidence- and practice-based integrated care while evaluating on the way is needed. [ABSTRACT FROM AUTHOR]

Alliance among healthcare professionals grows and develops during the practice of healthcare services, clearly in COVID19 epidemic. This joint effort makes one's way gradually and systematically, especially in the virtual field of activities. This manner of exchanges result the coming to light of health-related social network sites, committed to all participants in these tasks (healthcare givers and takers). It introduces a creative method of medical caring referred to as Social Health (S-health). S-health can be invested as a technological outcome, in a collaborative and participatory mode, around healthcare takers treatment, supervision and safe preservation. The objective is to offer a constant improvement of the quality of care given to both personal and community health practices. In several regards, S-health can serve with this aim by the authorization of interactive movements of the medical information between both health care takers and givers. In fact, the dynamism of situated health social care models is crucial, which creates surpassing and remarkable challenges, related to the setting up of online health care-centered systems. As expected, none of the main social networks sites has yet discovered how to merge all health care tasks straight to their platforms. In such context, we need to deal with the insufficiency of an overall framework to establish S-health platforms properties from both medical and IT interpretations. This deficiency necessitates a modeling and a design arrangement dedicated to handle these platforms. So, the creation of a modeling structure, to represent S-health platforms features, has considerable prospect to reply this defiance and to take advantage of the magnificent potential of social networking, via a fundamental representation of S-health constituents in an abstract conceptual template. The modeling map demands to fulfill an amount of norms and points of reference regarding technological restrictions and design necessities, before the initiation task. It is the most relevant interest in the successful and effective structuring of an S-health virtual space. [ABSTRACT FROM AUTHOR]

The limited volume of COVID‐19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS‐CoV‐2 mutations. The Virus Outbreak Data Network (VODAN)‐Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID‐19, producing these as human‐ and machine‐readable data objects in a distributed architecture of locally governed, linked, human‐ and machine‐readable data. This architecture supports analytics at the point of care and—through data visiting, across facilities—for generic analytics. An algorithm was run across FAIR Data Points to visit the distributed data and produce aggregate findings. The FAIR data architecture is deployed in Uganda, Ethiopia, Liberia, Nigeria, Kenya, Somalia, Tanzania, Zimbabwe, and Tunisia. [ABSTRACT FROM AUTHOR]

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The Matia Foundation is a private social institution that focuses its activity on safeguarding and improving the quality of life of the elderly and the disabled. In recent years, an extensive process of organisational change has been carried out within the Foundation, based on the development of the psychosocial and social-health model, the specialisation and personalisation of the care, the generation of new specialised resources and the development of three fundamental areas of intervention. These three areas correspond to the Social Health Area, the Psychosocial Area and the Social/Community Integration and Participation Area. All of this has been carried out in conjunction with the development of the most advanced management systems. The Psychosocial Intervention Model works in an interdisciplinary and complementary way between the different disciplines involved, in addition to the contributions that behavioural gerontology offers for the ambient design, care and treatments, etc. with a population that displays a high prevalence of dependent situations, neurological and psychiatric pathology, sensorial deficiencies etc. One of the main objectives we aim to meet via this model is to complement the family and social relationship with a competent team of professionals, organised according to their disciplines, offering high quality, highly professional care, which is friendly, personalised and humane, by incorporating voluntary staff and taking into consideration the family as the central point of the intervention with the user and resident. As regards the Residential Care Model, we have aim to ensure execution by following the strategic planning of the activities carried out in the gerontology and residential centres and units in order to achieve a better quality of life for the elderly people in our care along with their families, in addition to guaranteeing and promoting their rights in order to fully satisfy their expectations with the maximum effectiveness and efficiency. Within this care model we can highlight the following fundamental aspects: the influence of the surroundings on the quality of life and the integral nature of the intervention. Through the integrated introduction of the new more advanced Psychosocial Care and Intervention Model to the most advanced management models and to a client-based focus that is open to the community, the Psychosocial Area of the Matia Foundation has experienced an important evolution in recent years. [ABSTRACT FROM AUTHOR]

The limited volume of COVID-19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS-CoV-2 mutations. The Virus Outbreak Data Network (VODAN)-Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID-19, producing these as human- and machine-readable data objects in a distributed architecture of locally governed, linked, human- and machine-readable data. This architecture supports analytics at the point of care and-through data visiting, across facilities-for generic analytics. An algorithm was run across FAIR Data Points to visit the distributed data and produce aggregate findings. The FAIR data architecture is deployed in Uganda, Ethiopia, Liberia, Nigeria, Kenya, Somalia, Tanzania, Zimbabwe, and Tunisia., Competing Interests: All authors declare they have no competing interests., (© 2021 The Authors. Advanced Genetics published by Wiley Periodicals LLC.)