uality improvement (QI) is becoming an important focal point for health systems. There is increasing interest among health system stakeholders to learn from and share experiences on the use of QI methods and approaches in their work. Yet there are few easily accessible, online repositories dedicated to documenting QI activity. To read the full article, log in using your NHS OpenAthens details
Patient participation in healthcare is recognised internationally as essential for consumer-centric, high-quality healthcare delivery. Its measurement as part of continuous quality improvement requires development of agreed standards and measurable indicators. To read the full article, log in using your NHS OpenAthens details
No standardised tools for assessing the quality of specialist mental health supported accommodation services exist. To address this, we adapted the Quality Indicator for Rehabilitative care-QuIRC-that was originally developed to assess the quality of longer term inpatient and community based mental health facilities. The QuIRC, which is completed by the service manager and gives ratings of seven domains of care, has good psychometric properties.
Adherence to medicines has been identified as a key issue by the Royal Pharmaceutical Society of Great Britain,1 the WHO2 and, most recently, by the UK Academy of Medical Sciences.3 Estimates of adherence vary widely but are often reported to be as low as 50%.4 When a patient does not take their prescribed medicines as intended, they may not derive the expected outcomes. As well as implications for the individual patient, this can result in increased costs associated with patient hospitalisations or avoidable escalation in other costs of care.3 It may also result in unused medicines, the cost of which is estimated at £300 million per year in England alone.3 To read the full article, log in using your NHS OpenAthens details
If you've been using the imageIO.write method to save JPEG images, you may notice that some image lose quality. This is because you can't instruct the imagIO.write method to apply a certain compression quality to the images.
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Xively is a secure platform for Internet of Things devices and products. Its API and web service provide real-time control and data storage. Bring connected products to market using our provisioning service. Set alerts, collaborate and exchange data.
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
In his latest blog, AQuA Chief Executive David Fillingham shares his thoughts on adapting Lean thinking within health and social care, and how this can be supported through improving Whole System Flow.
Prior literature identified the use of Performance Measurement Systems (PMS) as crucial in addressing improved processes of care. Moreover, a strategic use of PMS has been found to enhance quality, compared to non-strategic use, although a clear understanding of this linkage is still to be achieved. This paper deals with the test of direct and indirect models related to the link between the strategic use of PMS and the level of improved processes in health care organizations. Indirect models were mediated by the degree of perceived managerial discretion.
Quality improvement collaboratives (QIC) have proliferated internationally, but there is little empirical evidence for their effectiveness. To read the full article, log in using your NHS OpenAthens details.
Patient-centred care, defined as respecting and responding to the needs and preferences of patients, empowering them to make decisions that best fit their individual needs, has been identified by the Institute of Medicine as an essential element of high-quality care.1 It can be thought of as respectfully involving the patient2 in a way that helps practitioners provide care that is concordant with their patients’ values, needs and preferences while better enabling patients to actively provide input and participate in their healthcare.3 Patients are more satisfied with their care when they feel that healthcare providers are understanding their needs, carefully listening and clearly providing information4; in addition, patient-centred care has been found to be associated with improved patient outcomes.5 In order to provide exemplary patient-centred care, one needs well developed communication skills, especially in the realm of active listening and responding to patient cues. The importance of physicians mastering the art of patient-centred communication skills can be seen as a theme in the educational objectives of medical school curricula as well as in the competencies of the Accreditation Council for Graduate Medical Education. To read the full article, log in using your NHS Athens
This guideline covers recognising, diagnosing and managing attention deficit hyperactivity disorder (ADHD) in children, young people and adults. It aims to improve recognition and diagnosis, as well as the quality of care and support for people with ADHD.
Independent research carried out by AvMA shows that the Care Quality Commission (CQC) “requires improvement” in how it regulates the statutory duty of candour. This is despite significant improvements since AvMA’s previous report in 2016.
The commitment includes a proposal for some of the most important types of avoidable harm to patients to be halved over the next five years in areas such as medication errors and Never Events, alongside developing a ‘just culture’ for the NHS where frontline staff are supported to speak up when errors occur.
As quality improvement (QI) programmes have become progressively larger scale, the risks of implementation having unintended consequences are increasingly recognised. More routine use of balancing measures to monitor unintended consequences has been proposed to evaluate overall effectiveness, but in practice published improvement interventions hardly ever report identification or measurement of consequences other than intended goals of improvement. To read the full article, log in using your NHS OpenAthens details.
J. Otterbacher. CHI '09: Proceedings of the 27th international conference on Human factors in computing systems, page 955--964. New York, NY, USA, ACM, (2009)