Social Interactions for Detecting Stress Based Issues

Mental stress is showing harmfulness to human health leads abnormal stress in chronology with this may lose our mental health for proactive care. With recognizable pieces of proof of web-based media, individuals cannot share their everyday exercises and collaborate with companions via web-based media stages, making it happing to use online informal community information for stress identification. We find that users stress state is closely associated with thereupon of his/her friends in social media, which we employ a large-scale dataset from real-world social platforms to systematically study the relationship between users’ stress states and social interactions. We first define a gaggle of stress-related comments, images, and social attributes from various aspects, then proposed a plot. Research results saying that the proposed model can improve the detection performance. With the help of enumeration, we build an internet site for the users to spot their stress rate level and may check other related activities.

973 The Effect of Implementing A Proactive Care of Older People Undergoing Surgery (‘POPS’) Team on Length of Stay in Older Surgical Patients

Introduction POPS is a well-established service which supports care of older surgical patients across multiple UK hospitals. POPS teams have been shown to reduce peri-operative medical complications, reduce length of stay (LOS) and improve multiple other patient outcomes. Method A POPS team consisting of two consultants, one foundation doctor and one nurse practitioner was implemented to provide dedicated care to older surgical patients on the general and vascular surgery wards of a large urban teaching hospital. Data were collected over 8 weeks from June 2020 - July 2020 following implementation of the POPS team and compared to pre-POPS data from March 2018 - March 2019. All inpatients were screened by age and Clinical Frailty Score (CFS) for appropriateness and received POPS input based on clinical need. Prior to the POPS team, liaison geriatric input was provided by a sole consultant. Results The 36 patients from the POPS group had an average LOS of 15.9 days, which was significantly lower than the LOS of 37.4 days in the 537 patients in the pre-POPS group (p < 0.01). There were no significant differences in demographics between the two groups. Conclusions The implementation of a POPS team significantly reduced length of stay in older surgical patients.

IoT and Big Data in Public Health

Technology can transform lives, and nowadays, the internet of things and big data are helping developing countries to improve healthcare outcomes and deliver better services. In Colombia, a lot of municipalities do not have reliable healthcare information systems, and still, a lot of the current processes that collect critical information related to public health are being made manually. Small groups of researchers are trying to include different stakeholders in active IoT and big data projects by using connected sensors and other IoT technologies that drive improvement in healthcare. According to the World Health Organization, hypertension is considered one of the most prevalent chronic diseases in Latin America today, and it has had an exponential growth in the last 10 years. This chapter utilizes data acquisition sensors, large medical datasets, and machine-learning methods to perform predictive analytics in a hypertensive population in Cartagena to assist public health organizations to create proactive care programs to prevent the increase of this disease in Cartagena.

Do Home Adaptations Prevent Falls for Older People?

IntroductionAround a third of people aged 65+, and around half of people aged 80+ fall at least once a year in the United Kingdom. Homes may be adapted to try to prevent falls, but evidence on the effectiveness of home adaptations is limited. Objectives and ApproachOur objective was to determine if proactive (Care&Repair service) and reactive (rapid response) home adaptations provided by Care&Repair Cymru resulted in a reduced risk of a fall for older people aged 60+ in Wales. We constructed a longitudinal dataset from the Secure Anonymised Information Linkage Databank. We created quarterly intervals for 5-years pre and post the date a home adaptation was received, or a randomly assigned date for the comparator. Per quarter, we created a binary indicator of whether someone had a fall at home that was recorded in either the emergency department or hospital admission data sources for Wales. We included key demographic variables as covariates. We analysed the data using logistic regression and a difference-in-difference approach. ResultsWe analysed 634,046 individuals, of whom 60,794 received the proactive Care&Repair service, and 47,244 received the reactive rapid response service. People receiving proactive or reactive home adaptations from Care & Repair were at around a two-fold increased risk of falling, compared to those who did not receive home adaptation with Odds Ratios (ORs) of 2.13 [95%CI: 2.07, 2.20] and 2.73 [2.64,2.81] respectively. Falls risk increased per quarter for all individuals, but after intervention delivery, the rate of increase fell in the intervention groups. ConclusionPeople receiving home adaptations from Care&Repair had a higher chance of a fall, indicating the service was successfully identifying those in need. Falls risk increased for everyone over time, but this was counteracted for people receiving an intervention.

ENDOCRINOLOGY IN THE TIME OF COVID-19: Remodelling diabetes services and emerging innovation

The COVID-19 pandemic is a major international emergency leading to unprecedented medical, economic and societal challenges. Countries around the globe are facing challenges with diabetes care and are similarly adapting care delivery, with local cultural nuances. People with diabetes suffer disproportionately from acute COVID-19 with higher rates of serious complications and death. In-patient services need specialist support to appropriately manage glycaemia in people with known and undiagnosed diabetes presenting with COVID-19. Due to the restrictions imposed by the pandemic, people with diabetes may suffer longer-term harm caused by inadequate clinical support and less frequent monitoring of their condition and diabetes-related complications. Outpatient management need to be reorganised to maintain remote advice and support services, focusing on proactive care for the highest risk, and using telehealth and digital services for consultations, self-management and remote monitoring, where appropriate. Stratification of patients for face-to-face or remote follow-up should be based on a balanced risk assessment. Public health and national organisations have generally responded rapidly with guidance on care management, but the pandemic has created a tension around prioritisation of communicable vs non-communicable disease. Resulting challenges in clinical decision-making are compounded by a reduced clinical workforce. For many years, increasing diabetes mellitus incidence has been mirrored by rising preventable morbidity and mortality due to complications, yet innovation in service delivery has been slow. While the current focus is on limiting the terrible harm caused by the pandemic, it is possible that a positive lasting legacy of COVID-19 might include accelerated innovation in chronic disease management.

Population child health: understanding and addressing complex health needs

Advances in paediatric care mean that more children with complex medical problems (heart disease, neurodevelopmental problems and so on) are surviving their early years. This has important implications for the design and delivery of healthcare given their extensive multidisciplinary requirements and susceptibility to poor outcomes when not optimally managed. Importantly, their medical needs must also be understood and addressed within the context of the child and family’s life circumstances. There is growing recognition that many other factors contribute to a child’s complex health needs (CHNs), for example, family problems, fragmentation of health and care provision, psychological difficulties or social issues.To facilitate proactive care for these patients, we must develop accurate ways to identify them. Whole Systems Integrated Care—an online platform that integrates routinely collected data from primary and secondary care—offers an example of how to do this. An algorithm applied to this data identifies children with CHNs from the entire patient population. When tested in a large inner-city GP practice, this analysis shows good concordance with clinical opinion and identifies complex children in the population to a much higher proportion than expected. Ongoing refinement of these data-driven processes will allow accurate quantification and identification of need in local populations, thus aiding the development of tailored services.