147 research outputs found

    Tackling a scandal of premature mortality; time for a ‘hearts & minds’ approach

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    David Shiers* and Tim Kendall** suggest it is untenable in 2012 to provide healthcare which fails to address the physical needs of those with mental illness, and the mental needs of those with physical illness

    Thermal pollution abatement evaluation model for power plant siting

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    Essentially constitutes the M.S. thesis by P.F. Shiers in the Dept. of Civil EngineeringA thermal pollution abatement model for power plant siting is formulated to evaluate the economic costs, resource requirements, and physical characteristics of a particular thermal pollution abatement technology at a given site type for a plant alternative. The model also provides a screening capability to determine which sites are feasible alternatives for development by the calculation of the resource requirements and a check of the applicable thermal standards, and determining whether the plant alternative could be built on the available site in compliance with the thermal standards. The thermal pollution evaluation model analyzes the abatement technologies of surface discharge, diffuser, cooling pond, spray canal, and wet mechanical draft cooling towers. The typical site types evaluated are a river, small lake, great lake, coastal, estuary, offshore ocean, and water poor site. The model will be used in conjunction with a Plant Evaluation Model, which analyzes the effects of fuel costs and air pollution abatement, a Plant Expansion Model, and a Generation Expansion Model to determine the optimal operating and generating plan for an electric utility. The model may also be used in conjunction with the Plant Evaluation Model to evaluate the trade offs between the dollar cost of electric power generation, reliability, and air and thermal pollution. The model may also be used to determine, for a single plant site alternative, which abatement technologies would be feasible, and to make an economic and resource requirement comparison between these alternatives. Finally, the model could be used to examine the economic and locational aspects of the implementation of a plan limiting the waste heat discharge to natural bodies to zero discharge.NSF Grant no. GI-3493

    Study protocol for the development and internal validation of Schizophrenia Prediction of Resistance to Treatment (SPIRIT): a clinical tool for predicting risk of treatment resistance to antipsychotics in first-episode schizophrenia

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    INTRODUCTION: Treatment-resistant schizophrenia (TRS) is associated with significant impairment of functioning and high treatment costs. Identification of patients at high risk of TRS at the time of their initial diagnosis may significantly improve clinical outcomes and minimise social and functional disability. We aim to develop a prognostic model for predicting the risk of developing TRS in patients with first-episode schizophrenia and to examine its potential utility and acceptability as a clinical decision tool. METHODS AND ANALYSIS: We will use two well-characterised longitudinal UK-based first-episode psychosis cohorts: Aetiology and Ethnicity in Schizophrenia and Other Psychoses and Genetics and Psychosis for which data have been collected on sociodemographic and clinical characteristics. We will identify candidate predictors for the model based on current literature and stakeholder consultation. Model development will use all data, with the number of candidate predictors restricted according to available sample size and event rate. A model for predicting risk of TRS will be developed based on penalised regression, with missing data handled using multiple imputation. Internal validation will be undertaken via bootstrapping, obtaining optimism-adjusted estimates of the model's performance. The clinical utility of the model in terms of clinically relevant risk thresholds will be evaluated using net benefit and decision curves (comparative to competing strategies). Consultation with patients and clinical stakeholders will determine potential thresholds of risk for treatment decision-making. The acceptability of embedding the model as a clinical tool will be explored using qualitative focus groups with up to 20 clinicians in total from early intervention services. Clinicians will be recruited from services in Stafford and London with the focus groups being held via an online platform. ETHICS AND DISSEMINATION: The development of the prognostic model will be based on anonymised data from existing cohorts, for which ethical approval is in place. Ethical approval has been obtained from Keele University for the qualitative focus groups within early intervention in psychosis services (ref: MH-210174). Suitable processes are in place to obtain informed consent for National Health Service staff taking part in interviews or focus groups. A study information sheet with cover letter and consent form have been prepared and approved by the local Research Ethics Committee. Findings will be shared through peer-reviewed publications, conference presentations and social media. A lay summary will be published on collaborator websites

    A core outcome set for trials evaluating self-management interventions in people with severe mental illness and coexisting type 2 diabetes

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    BACKGROUND: People with severe mental illness (SMI), such as schizophrenia, have higher rates of type 2 diabetes and worse outcomes, compared to those without SMI and it is not known whether diabetes self-management interventions are effective for people who have both conditions. Research in this area has been impeded by a lack of consensus on which outcomes to prioritise in people with co-existing SMI and diabetes.AIMS: To develop a core outcome set (COS) for use in effectiveness trials of diabetes self-management interventions in adults with both type 2 diabetes and SMI.METHODS: The COS was developed in three stages: (i) identification of outcomes from systematic literature review of intervention studies, followed by multi-stakeholder and service user workshops; (ii) rating of outcomes in a two-round online Delphi survey; (iii) agreement of final 'core' outcomes through a stakeholder consensus workshop.RESULTS: Seven outcomes were selected: glucose control, blood pressure, body composition (body weight, BMI, body fat), health-related quality of life, diabetes self-management, diabetes-related distress and medication adherence.CONCLUSIONS: This COS is recommended for future trials of effectiveness of diabetes self-management interventions for people with SMI and type 2 diabetes. Its use will ensure trials capture important outcomes and reduce heterogeneity so findings can be readily synthesised to inform practice and policy.</p

    Development of a Supported Self-management Intervention for People With Severe Mental Illness and Type 2 Diabetes: Theory and Evidence-Based Co-design Approach

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    BACKGROUND: Type 2 diabetes is 2 to 3 times more common among people with severe mental illness (SMI). Self-management is crucial, with additional challenges faced by people with SMI. Therefore, it is essential that any diabetes self-management program for people with SMI addresses the unique needs of people living with both conditions and the inequalities they experience within health care services. OBJECTIVE: We combined theory, empirical evidence, and co-design approaches to develop a type 2 diabetes self-management intervention for people with SMI. METHODS: The development process encompassed 4 steps: step 1 involved prioritizing the mechanisms of action (MoAs) and behavior change techniques (BCTs) for the intervention. Using findings from primary qualitative research and systematic reviews, we selected candidate MoAs to target in the intervention and candidate BCTs to use. Expert stakeholders then ranked these MoAs and BCTs using a 2-phase survey. The average scores were used to generate a prioritized list of MoAs and BCTs. During step 2, we presented the survey results to an expert consensus workshop to seek expert agreement with the definitive list of MoAs and BCTs for the intervention and identify potential modes of delivery. Step 3 involved the development of trigger films using the evidence from steps 1 and 2. We used animations to present the experiences of people with SMI managing diabetes. These films were used in step 4, where we used a stakeholder co-design approach. This involved a series of structured workshops, where the co-design activities were informed by theory and evidence. RESULTS: Upon the completion of the 4-step process, we developed the DIAMONDS (diabetes and mental illness, improving outcomes and self-management) intervention. It is a tailored self-management intervention based on the synthesis of the outputs from the co-design process. The intervention incorporates a digital app, a paper-based workbook, and one-to-one coaching designed to meet the needs of people with SMI and coexisting type 2 diabetes. CONCLUSIONS: The intervention development work was underpinned by the MoA theoretical framework and incorporated systematic reviews, primary qualitative research, expert stakeholder surveys, and evidence generated during co-design workshops. The intervention will now be tested for feasibility before undergoing a definitive evaluation in a pragmatic randomized controlled trial

    Collaboration across the primary/specialist interface in early intervention in psychosis services: a qualitative study

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    Background People with new psychotic symptoms may be managed within an Early Intervention in Psychosis service (EIP). They may be discharged back to primary care at the end of their time in an EIP service. Aim To explore the role of primary care in supporting people with psychosis in an EIP service. Design and Setting Qualitative study, within a programme of work to explore the optimum duration of management within an EIP service. Methods Semi-structured interviews with people in EIP services, carers, general practitioners (GPs) and EIP practitioners. Findings GPs report difficulties in referring people into EIP services, have little contact with people who are supported by EIP services and are not included in planning discharge from EIP service to primary care. Conclusions This study suggests that GPs should have a role in the support of people within EIP services (in particular monitoring and managing physical health) and their carers. Inclusion of GPs in managing discharge from EIP services is vital. We suggest that a joint consultation with the service user, their carer (if they wish) along with EIP care co-ordinator and GP would make this transition smoother
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