Community Involvement within Your Organization

Active community involvement programs within your organization allow the engineering community to serve one another while promoting a positive work environment and strengthening the communities that are being served. Various community involvement programs will be presented that provide positive mentoring skills and/or public service to various organizations. Ongoing community involvement programs in two large organizations will be presented. Time will be allowed for questions and further dialogue on individual program successes

Recovery approaches in mental health : A qualitative evaluation of the Whole Life Therapy programme for persons with schizophrenia

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International LicenseThe recovery approach within mental health services has in recent years been influential in promoting more active participation from service users concerning their treatment and progress, within a move towards models of interventions based on social models and ideas of service user empowerment. Although mental health recovery models are often heralded as ideological goals, comparatively little has been documented about the means of achieving these. This article sets out the nature and content of the Whole Life Programme, used within the Hertfordshire NHS Partnership Foundation Trust, and the results of qualitative research into the programme that set out to analyse the impact of its delivery from the perspectives of service users. The research examined the experiences and views of participants receiving treatment several months after the completion of the programme, and also of those who withdrew prematurely, in order to learn from these experiences, adding to our understanding of how one recovery based approach, the Whole Life Manual, can be applied in practiceNon peer reviewedFinal Published versio

Exploring Individual Differences in Stroop Processing with Cluster Analysis: Target Article on Stroop-Differences

A relatively small number of studies of the Stroop task has examined individual differences in age, sex, hemispheric processing, and language. The amount of interference is the primary dependent measure in most studies, not the factors that contribute to the interference. In the present target article, cluster analysis is used to identify groups of participants who respond similarly on the Stroop task. Integrated color-word Stroop stimuli were presented for varying durations in the first study. Significant individual differences were found. A cluster analysis identified two groups of subjects. One group responded consistently across durations and conditions while the other responded more erratically. Potential sources of individual differences were examined in a second study. 120 subjects were given the Color and Word Test along with selected subtests of the Stanford Binet Intelligence Test, age appropriate Wechsler tests, and the Detroit Tests of Learning Aptitude. Again, cluster analysis found two groups of subjects. The group with higher scores on visual reasoning and short-term memory produced more interference

CLASSIFICATION OF RISK IN PSYCHIATRY

Psychiatric risk-assessments generally quantify risk using broad, categorical, indicators (e.g., high-risk, low-risk). We examined reliability of such indicators when applied by mental-health professionals. Four versions of a questionnaire were used, each specifying a different clinical outcome along with a range of different probabilities at which that outcome might occur. Respondents classified each probability, allowing a comparison of the level of likelihood at which different professionals would apply the terms \u27high-risk\u27, \u27medium-risk\u27 and \u27low-risk\u27. We found little consistency among professionals who assessed risk for the same outcomes. Moreover, there were also large and unpredicted differences in response-profiles between the 4 clinical outcomes. These findings raise concerns about the communication value of current risk-assessment terminology

Neonatal brain injuries in England:Population-based incidence derived from routinely recorded clinical data held in the National Neonatal Research Database

Objective In 2015, the Department of Health in England announced an ambition to reduce’brain injuries occurring during or soon after birth’. We describe the development of a pragmatic case definition and present annual incidence rates. Design Retrospective cohort study using data held in the National Neonatal Research Database (NNRD) extracted from neonatal electronic patient records from all National Health Service (NHS) neonatal units in England, Wales and Scotland. In 2010–2011, population coverage in the NNRD was incomplete, hence rate estimates are presented as a range; from 2012, population coverage is complete, and rates (95% CIs) are presented. Rates are per 1000 live births. setting NHS neonatal units in England. Patients Infants admitted for neonatal care; denominator: live births in England. Main outcome measure ’Brain injuries occurring at or soon after birth’ defined as infants with seizures, hypoxic-ischaemic encephalopathy, stroke, intracranial haemorrhage, central nervous system infection and kernicterus and preterm infants with cystic periventricular leucomalacia. results In 2010, the lower estimate of the rate of’Brain injuries occurring at or soon after birth’ in England was 4.53 and the upper estimate was 5.19; in 2015, the rate was 5.14 (4.97, 5.32). For preterm infants, the population incidence in 2015 was 25.88 (24.51, 27.33) and 3.47 (3.33, 3.62) for term infants. Hypoxic-ischaemic encephalopathy was the largest contributor to term brain injury, and intraventricular/periventricular haemorrhage was the largest contributor to preterm brain injury. Conclusions Annual incidence rates for brain injuries can be estimated from data held in the NNRD; rates for individual conditions are consistent with published rates. Routinely recorded clinical data can be used for national surveillance, offering efficiencies over traditional approaches

Exploring variation in the use of feedback from national clinical audits : a realist investigation

BACKGROUND: National Clinical Audits (NCAs) are a well-established quality improvement strategy used in healthcare settings. Significant resources, including clinicians' time, are invested in participating in NCAs, yet there is variation in the extent to which the resulting feedback stimulates quality improvement. The aim of this study was to explore the reasons behind this variation. METHODS: We used realist evaluation to interrogate how context shapes the mechanisms through which NCAs work (or not) to stimulate quality improvement. Fifty-four interviews were conducted with doctors, nurses, audit clerks and other staff working with NCAs across five healthcare providers in England. In line with realist principles we scrutinised the data to identify how and why providers responded to NCA feedback (mechanisms), the circumstances that supported or constrained provider responses (context), and what happened as a result of the interactions between mechanisms and context (outcomes). We summarised our findings as Context+Mechanism = Outcome configurations. RESULTS: We identified five mechanisms that explained provider interactions with NCA feedback: reputation, professionalism, competition, incentives, and professional development. Professionalism and incentives underpinned most frequent interaction with feedback, providing opportunities to stimulate quality improvement. Feedback was used routinely in these ways where it was generated from data stored in local databases before upload to NCA suppliers. Local databases enabled staff to access data easily, customise feedback and, importantly, the data were trusted as accurate, due to the skills and experience of staff supporting audit participation. Feedback produced by NCA suppliers, which included national comparator data, was used in a more limited capacity across providers. Challenges accessing supplier data in a timely way and concerns about the quality of data submitted across providers were reported to constrain use of this mode of feedback. CONCLUSION: The findings suggest that there are a number of mechanisms that underpin healthcare providers' interactions with NCA feedback. However, there is variation in the mode, frequency and impact of these interactions. Feedback was used most routinely, providing opportunities to stimulate quality improvement, within clinical services resourced to collect accurate data and to maintain local databases from which feedback could be customised for the needs of the service