Appointment Prioritisation for Health Checks in People with Learning Disability

Due to measures in place in relation to managing COVID-19 pandemic, the Learning Disability health checks in their old form are a problem to implement and are not being done. Working with colleagues through the Royal College of General Practitioners Special Interest Groups and clinicians across the UK, guidelines on how to prioritise health checks were developed and adopted by Leeds CCG and NHS Englan

Get ready for your Annual Health Check

Easy Read Poster to support People with Learning Disability for their health checks during COVID measure

How do health professionals provide accessible information?

We recently worked on a study that was commissioned by East Lancashire Clinical Commissioning Group (CCG). We wanted to find out how health professionals in Lancashire work with people who have communication and accessibility needs. There are clear health disparities between people with learning disabilities and the general population, leading to concern among professionals about the health information they provide

Psychotropics use: GP Perspective

To build understanding of the role of supporters and other health professionals relating to prescribing and de-prescribing psychotropic medications

The importance of significant event analysis

Significant event analysis (SEA) is a structured quality improvement activity that is well established in general practice. Participation in SEA prompts primary care teams to reflect on their clinical reasoning, to highlight exemplary care, and to identify any potential improvements in both practice and wider healthcare systems. This article provides an overview of the SEA process and the events surrounding a SEA meeting. Cancer care examples are used to demonstrate how SEA can be used to enhance team-based learning and improve future patient care

Impact of Covid-19 on Intellectual Disability

This webinar seeks to raise awareness of the physical health needs of people with intellectual disability as well as explore key determinants of health inequities. This is an opportunity to review new ideas and initiatives that aim to improve the quality of healthcare for this group

A Semantic-enabled Framework For Future Internet Of Things Applications

While the challenge of connecting Internet of Things (IoT) devices at the lowest layer has been widely studied, integrating and interoperating huge amounts of sensed data of heterogeneous IoT devices is becoming increasingly important because of the possibility of consuming such data in supporting many potential novel IoT applications. A common approach to processing and consuming IoT data is a centralized paradigm: sensor data is sent over the network to a comparatively powerful central server or a cloud service, where all processing takes place. However, this approach has some limitations as it requires devices to interact directly with a cloud which is not cost effective. First, it has high demands on the device's storage and computational capabilities. Second, as devices grow rapidly in a deployment area, sending all the data to a centralized cloud server requires high network bandwidth. Moreover, this often creates data privacy concerns as all raw data will be sent to a centralized place. To address the above limitations for building future Internet of Things applications, we present an early design of a novel framework that combines Internet of Things, Semantic Web, and Big Data concepts. We not only present the core components to build an IoT system, but also list existing alternatives with their merits. This framework aims to incorporate open standards to address the potential challenges in building future IoT applications. Therefore, our discussion revolves around open standards to build the framework, rather than proprietary standards

An exploration of lifestyle/obesity programmes for adults with intellectual disabilities through a realist lens: Impact of a ‘context, mechanism and outcome’ evaluation

Background Obesity is higher in people with intellectual disabilities. Aims There are two aims of this explorative paper. Firstly, using a realist lens, to go beyond ‘what works’ and examine the ‘context, mechanisms and outcomes’ (CMO) of lifestyle/obesity programmes for this population. Second, using a logic model framework to inform how these programmes could be implemented within practice. Method We explored six‐review papers and the individual lifestyle/obesity programmes that these papers reviewed using the CMO framework. Results There were few theoretically underpinned, multi‐component programmes that were effective in the short to long‐term and many failed to explore the ‘context and mechanisms’. We developed a logic model and engaged in two co‐production workshops to refine this model. Discussion Using a realist approach, programmes need to be underpinned by both individual and systems change theories, be multi‐component, have a closer understanding of the interplay of the ‘context and mechanisms’, and co‐designed using a logic model framework

Requirement based Test Case Prioritization for System Testing

System Testing encompasses a large number of test cases, which may not be able to get executed due to constrained time, budget and limitation of the resources. Therefore, the test cases must be prioritized in some order such that the critical and most required functionality can be tested early. In this paper, a hierarchical approach for system test case prioritization based on requirements has been proposed that maps requirements on the system test cases. This approach analyzes and assigns value to each requirement based on a comprehensive set of twelve factors thereby prioritizing the requirements. Further, the prioritized requirement is mapped on the highly relevant module and then prioritized set of test cases. To analyze the effectiveness of this approach, a case study of income tax calculator software [1] has been taken. The existing as well as the proposed approach were applied and analyzed on this software. The results show the efficacy of the proposed approach in terms of fault detection and severity early