In April 2017 we reviewed the evidence for corticosteroid treatment for people with severe alcohol-related hepatitis and changed recommendation 1.3.3.1.
North Staffordshire Combined Healthcare NHS Trust has today welcomed the publication of its latest CQC inspection, which - for the first time in the Trust's history - rates every Combined Service as "Good" or "Outstanding". The Trust's overall rating is "Good".
The results mean that Combined Healthcare is the best rated mental health trust across the whole of the Midlands and East of England and third highest in the whole country - only 1 of 3 with every service rated at least Good and at least two Outstanding.
AEs are defined as those aspects of the care experience that should always occur when people and family members interact with healthcare professionals and the health care delivery system. [One of Lancashire Care's Adult LD teams volunteered to take part and co-designed AEs with service users and carers, to understand their priorities in care]
Picker has published a report which outlines the key learnings from NHS trusts involved in the scale-up and spread of Always Events.
Always Events are aspects of the patient experience that are so important to patients and family members that health care providers must aim to perform them consistently for every individual, every time.
There was a strong recovery ethos throughout service delivery. Staff shared a clear definition of recovery and supported clients to achieve their goals. Staff were hard working, caring and committed to delivering a good quality service.
Staff supported clients to engage in their local community. Dedicated workers helped clients’ engagement with community services and worked to bridge the gap in support after treatment and promote independence and self-care in clients.
Staff used effective systems to identify and manage client risk. Safety was a priority in all teams. The whole team was engaged in reviewing and improving safety and safeguarding systems. There were effective systems in place to ensure that safeguarding concerns were identified, managed and reviewed.
The Animal Sniffer Plugin is used to build signatures of APIs and to check your classes against previously generated signatures. This plugin is called animal sniffer because the principal signatures that are used are those of the Java Runtime, and since Sun traditionally names the different versions of its Java Runtimes after different animals, the plugin that detects what Java Runtime your code requires was called "Animal Sniffer".
This quality standard covers the recognition, assessment, care and treatment of mental health problems in women during pregnancy and the postnatal period (up to 1 year after childbirth). It also includes providing pre-conception support and advice for women with an existing mental health problem who might become pregnant, and the organisation of mental health services needed in pregnancy and the postnatal period.
MHRA advice on valproate: In April 2018, we added warnings that valproate must not be used in pregnancy, and only used in girls and women when there is no alternative and a pregnancy prevention plan is in place. This is because of the risk of malformations and developmental abnormalities in the baby. See update information for details.
AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0
The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content.
In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning.
So, in a nutshell, AQUA will answer the following questions:
What is quality of information? How does it matter in information search?
How to model the quality of user generated content?
How far can you go with automatic methods in assessing quality?
How to give feedback to users regarding quality?
The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".
The guide, Better Questions, Safer Care, builds on our work for the Measuring and Monitoring of Safety Framework with The Health Foundation, and contains a range of useful resources to help health and care professionals to take a more holistic approach when looking at the safety of care.
Following her recent visit to the recent International Forum for Quality & Safety in Healthcare conference in London, she shares her thoughts on challenging leadership culture, and using root cause analysis for improvement