Classification of Existing Health Model of India at the End of the Twelfth Plan using Enhanced Decision Tree Algorithm

The high rate of urbanisation has increased the need for state-of-art health models that can meet the growing needs of society during any pandemic. Information-theoretic algorithms based on decision tree can mine the data to establish standards for the final decision by classifying the related data. Classification is an effective tool to analyse the existing health system in India’s states and union territories. For this purpose, the data is categorised and then treated with the enhanced Shannon Entropy-based C4.5 decision tree algorithm to set some rules. These rules are capable of finding the major gaps in the health care systems after the analysis. Supposedly, these gaps are taken care of properly in the affected regions. In that case, the health care models will accomplish the endeavouring Sustainable Development Goals.

Advancing Health Equity in Digital Mental Health: Lessons From Medical Anthropology for Global Mental Health

Digital health engenders the opportunity to create new effective mental health care models—from substance use recovery to suicide prevention. Anthropological methodologies offer a unique opportunity for the field of global mental health to examine and incorporate contextual mental health needs through attention to the lived experience of illness; engagement with communities; and knowledge of context, structures, and systems. Attending to these diverse mental health needs and conditions as well as the limitations of digital health will allow global mental health researchers, practitioners, and patients to collaboratively create new models for care in the service of equitable, accessible recovery.

Features of The Development of The Health Insurance System in The World

This article analyzes the strengths and weaknesses of the existing global health care models and proposals for health care reform in the social protection system of Uzbekistan

Transdisciplinarity and health care models: vision of nursing course students / Transdisciplinaridade e modelos assistenciais de saúde: visão de concluintes do curso de enfermagem

Objetivo: Conhecer a visão de discentes concluintes do curso de enfermagem sobre transdisciplinaridade e modelos assistenciais de saúde, como adquiridas nos campos de estágio vivencial. Método: Estudo descritivo-exploratório com abordagem qualitativa, em instituição de ensino de Belém, Pará, Brasil. A coleta de dados foi entre agosto a outubro de 2019 com 39 discentes, cursando o último ano do curso. Realizou-se uma entrevista semiestruturada individual, com posterior análise de conteúdo indutiva em seis etapas. Resultados: Emergiram duas categorias “Compreensões acerca da transdisciplinaridade: entre o Ser holístico e a prática assistencial” denotando visões heterogêneas sobre transdisciplinaridade; e “A aplicação dos modelos de atenção à saúde nas práticas assistenciais”. Conclusão: Parte dos concluintes compreende os conceitos de transdisciplinaridade, outros fazem uma bricolagem de conceitos aprendidos. Quanto aos modelos assistenciais o Modelo Biomédico é o mais vivenciado nas práticas.

Um Novo Paradigma em Investigação em Saúde: Dados FAIR (Localizáveis, Acessíveis, Interoperáveis, Reutilizáveis)

The digital era, that we are living nowadays, is transforming health, health care models and services, and the role of society in this new reality. We currently have a large amount of stored health data, including clinical, biometric, and scientific research data. Nonetheless, its potential is not being fully exploited. It is essential to foster the sharing and reuse of this data not only in research but also towards the development of health technologies in order to improve health care efficiency, as well as products, services or digital health apps, to promote preventive and individualized medicine and to empower citizens in health literacy and self-management. In this sense, the FAIR concept has emerged, which implies that health data is findable, accessible, shared and reusable, facilitating interoperability between systems, ensuring the protection of personal and sensitive data. In this paper we review the FAIR concept, ‘FAIRification’ process, FAIR data versus open access data, ethical issues and the general data protection regulation, and digital health and citizen science.

Model of Health and Mouth Health Care Services among Stroke Patients

Stroke is the main trigger that can cause disability in adults. Stroke patients are known to be vulnerable to oral health problems, such as periodontal disease, due to limitations in their daily activities so that dental and oral hygiene management is neglected. These dental and oral health problems can become worse when patients are treated in a stroke unit. For this reason, dental and oral health care needs to be taken in stroke patients. The study aimed to develop a model of dental and oral health care among stroke patients. Research and Development (R&D), on five research stages, namely: information gathering, product/model design, expert validation and revision, product/model trials (using quasi-experiments with pretest and posttest with control group design). The sample was divided into two groups, the dental and oral health care model in stroke patients in the intervention group and the oral health care model No.284 year 2006 in the control group. Data were tested using normality, paired t-test, post hoc LSD, Mann Whitney, and linear regression. The model of dental and oral health care in stroke patients was relevant as dental and oral health care was shown to be p <0.001. The application of dental and oral health care models in stroke patients effectively improves the skills of gargling in moderate stroke patients p <0.001, increasing the ability to brush teeth in moderate stroke patients p <0.001. The application of dental and oral health care models in stroke patients is useful as an increase in the skills to rinse and brush teeth in moderate stroke patients

Beyond the asylum and before the ‘care in the community’ model: exploring an overlooked early NHS mental health facility

This article discusses the Admission and Treatment Unit at Fair Mile Hospital, in Cholsey, near Wallingford, Berkshire (now Oxfordshire). This was the first new hospital to be completed in England following the launch of the National Health Service. The building was designed by Powell and Moya, one of the most important post-war English architectural practices, and was completed in 1956, but demolished in 2003. The article relates the commission of the building to landmark policy changes and argues for its historic significance in the context of the NHS and of the evolution of mental health care models and policies. It also argues for the need for further study of those early NHS facilities in view of current developments in mental health provision.

The current context of nursing in Brazil and perspectives for the post-pandemic

In the pandemic context, it is an even greater challenge to bring this professional closer to the care practice, based on essential quality principles, given the work overload due to long hours, restricted rest hours, due to the high rates of absenteeism of these professionals. These questions lead us to the importance of the moral and mental health of health professionals, in which there is a high degree of suffering, observed by anguish, physical and emotional stress, uncertainty, in addition to ethical issues. All of these points lead to an even greater damage to the quality of care, which may directly influence the outcomes in health and patient safety. Creating strategies to minimize the negative aspects of the postpandemic is essential to seek alternatives for quality of care as well as ensuring a safe environment for care practice. It is essential to know the impacts of the pandemic in its different contexts, as well as the strategies currently used to minimize its impacts; so that, with the learning provided, new actions can be planned for the reconstruction of health care models.