Optimising primary care for people with dementia

This review considers key areas in primary care regarding the diagnosis of dementia. Issues surrounding assessment, policy and incentives are considered. In addition, the relevance of non-medication approaches for dementia in primary care, which aim to enhance or maintain quality of life by maximising psychological and social function in the context of existing disabilities, is deliberated. Finally, key issues about primary care medication management are considered, and relevant therapeutic strategies with recommendation for a collaborative approach that improve outcomes by linking primary and secondary healthcare services - including general practice and pharmacy - with social care needs are weighed up. A key aspect of such a collaborative approach is to support informal carers in optimising medication.

Patients' and health professionals' views on primary care for people with serious mental illness:focus group study

Objective: To explore the experience of providing and receiving primary care from the perspectives of primary care health professionals and patients with serious mental illness respectively. Design: Qualitative study consisting of six patient groups, six health professional groups, and six combined focus groups. Setting: Six primary care trusts in the West Midlands. Participants: Forty five patients with serious mental illness, 39 general practitioners (GPs), and eight practice nurses. Results: Most health professionals felt that the care of people with serious mental illness was too specialised for primary care. However, most patients viewed primary care as the cornerstone of their health care and preferred to consult their own GP, who listened and was willing to learn, rather than be referred to a different GP with specific mental health knowledge. Swift access was important to patients, with barriers created by the effects of the illness and the noisy or crowded waiting area. Some patients described how they exaggerated symptoms ("acted up") to negotiate an urgent appointment, a strategy that was also employed by some GPs to facilitate admission to secondary care. Most participants felt that structured reviews of care had value. However, whereas health professionals perceived serious mental illness as a lifelong condition, patients emphasised the importance of optimism in treatment and hope for recovery. Conclusions: Primary care is of central importance to people with serious mental illness. The challenge for health professionals and patients is to create a system in which patients can see a health professional when they want to without needing to exaggerate their symptoms. The importance that patients attach to optimism in treatment, continuity of care, and listening skills compared with specific mental health knowledge should encourage health professionals in primary care to play a greater role in the care of patients with serious mental illness.

'Listen to my madness':understanding the experiences of people with serious mental illness

This article explores the salience of disability theory for understanding the experiences of people with serious mental illness. Drawing on data from a focus group study, we suggest that users experience both impairment (as embodied irrationality) which can, in itself, be oppressive, and also have to manage their lives within a largely disabling society. We outline some of the strategies adopted by users to manage their situation and ensure they access and receive health services, and illustrate how these are a result of the complex relationship between disability and impairment. We suggest that using a framework of the social model of disability provides a useful way of understanding and making sense of the experience of users with serious mental illness. © Blackwell Publishing Ltd/Foundation for the Sociology of Health & Illness 2005.

Managing crisis:the role of primary care for people with serious mental illness

Background and Objectives: More than 30% of patients with serious mental illness in the United Kingdom now receive all their health care solely from primary care. This study explored the process of managing acute mental health crises from the dual perspective of patients and primary care health professionals. Methods: Eighteen focus groups involving 45 patients, 39 general practitioners, and eight practice nurses were held between May and November 2002 in six Primary Care Trusts across the British West Midlands. The topic guide explored perceptions of gold standard care, current issues and critical incidents in receiving/providing care, and ideas on improving services. Results: Themes relevant to the management of acute crisis included issues of process, such as access, advocacy, communication, continuity, and coordination of care; the development of more structured care that might reduce the need for crisis responses; and issues raised by the development of a more structured approach to care. Conclusions: Access to services is a complicated yet crucial feature of managing care in a crisis, with patients identifying barriers at the level of primary care and health professionals at the interface with secondary care. The development of more structured systems as a solution may generate its own ethical and pragmatic challenges.

Web Interfaces Destined for People with Disabilities

One of the main characteristics of the world that we live in is the access to information and one of the main ways to reach the information is the Internet. Most Internet sites put accessibility problem on a secondary plan. If we try to define this concept (accessibility) we could say that accessibility it’s a way to offer access to information for the people with disabilities. For example blind people can’t navigate on the Internet like usual people. For that reason Internet sites have to put at their disposal ways to make their content known to this people. Accessibility does not refer only at blind people the web accessibility refers to all people who lost their ability to access the Internet sites. The web accessibility includes every disability that stops people with disabilities to access the web sites content like hearing disability, neurological and cognitive. People that have low speed Internet connection or with low performance computers can use the web accessibility.

Examining a proposed job retention model for adult workers with mental retardation in supported employment

This quantitative study investigated the predictive relationships and interaction between factors such as work-related social behaviors (WRSB), self-determination (SD), person-job congruency (PJC), job performance (JP), job satisfaction (JS), and job retention (JR). A convenience sample of 100 working adults with MR were selected from supported employment agencies. Data were collected using a survey test battery of standardized instruments. The hypotheses were analyzed using three multiple regression analyses to identify significant relationships. Beta weights and hierarchical regression analysis determined the percentage of the predictor variables contribution to the total variance of the criterion variables, JR, JP, and JS. ^ The findings highlight the importance of self-determination skills in predicting job retention, satisfaction, and performance for employees with MR. Consistent with the literature and hypothesized model, there was a predictive relationship between SD, JS and JR. Furthermore, SD and PJC were predictors of JP. SD and JR were predictors of JS. Interestingly, the results indicated no significant relationship between JR and JP, or between JP and JS, or between PJC and JS. This suggests that there is a limited fit between the hypothesized model and the study's findings. However, the theoretical contribution made by this study is that self-determination is a particularly relevant predictor of important work outcomes including JR, JP, and JS. This finding is consistent with Deci's (1992) Self-Determination Theory and Wehmeyer's (1996) argument that SD skills in individuals with disabilities have important consequences for the success in transitioning from school to adult and work life. This study provides job retention strategies that offer rehabilitation and HR professionals a useful structure for understanding and implementing job retention interventions for people with MR. ^ The study concluded that workers with mental retardation who had more self-determination skills were employed longer, more satisfied, and better performers on the job. Also, individuals whose jobs were matched to their interests and abilities (person-job congruency) were better at self-determination skills. ^

Optimization models for selecting bus stops for accessibility improvements for people with disabilities

Bus stops are key links in the journeys of transit patrons with disabilities. Inaccessible bus stops prevent people with disabilities from using fixed-route bus services, thus limiting their mobility. The Americans with Disabilities Act (ADA) of 1990 prescribes the minimum requirements for bus stop accessibility by riders with disabilities. Due to limited budgets, transit agencies can only select a limited number of bus stop locations for ADA improvements annually. These locations should preferably be selected such that they maximize the overall benefits to patrons with disabilities. In addition, transit agencies may also choose to implement the universal design paradigm, which involves higher design standards than current ADA requirements and can provide amenities that are useful for all riders, like shelters and lighting. Many factors can affect the decision to improve a bus stop, including rider-based aspects like the number of riders with disabilities, total ridership, customer complaints, accidents, deployment costs, as well as locational aspects like the location of employment centers, schools, shopping areas, and so on. These interlacing factors make it difficult to identify optimum improvement locations without the aid of an optimization model. This dissertation proposes two integer programming models to help identify a priority list of bus stops for accessibility improvements. The first is a binary integer programming model designed to identify bus stops that need improvements to meet the minimum ADA requirements. The second involves a multi-objective nonlinear mixed integer programming model that attempts to achieve an optimal compromise among the two accessibility design standards. Geographic Information System (GIS) techniques were used extensively to both prepare the model input and examine the model output. An analytic hierarchy process (AHP) was applied to combine all of the factors affecting the benefits to patrons with disabilities. An extensive sensitivity analysis was performed to assess the reasonableness of the model outputs in response to changes in model constraints. Based on a case study using data from Broward County Transit (BCT) in Florida, the models were found to produce a list of bus stops that upon close examination were determined to be highly logical. Compared to traditional approaches using staff experience, requests from elected officials, customer complaints, etc., these optimization models offer a more objective and efficient platform on which to make bus stop improvement suggestions.

Adaptive Brain-Computer Interface Systems For Communication in People with Severe Neuromuscular Disabilities

Brain-computer interfaces (BCI) have the potential to restore communication or control abilities in individuals with severe neuromuscular limitations, such as those with amyotrophic lateral sclerosis (ALS). The role of a BCI is to extract and decode relevant information that conveys a user's intent directly from brain electro-physiological signals and translate this information into executable commands to control external devices. However, the BCI decision-making process is error-prone due to noisy electro-physiological data, representing the classic problem of efficiently transmitting and receiving information via a noisy communication channel.

This research focuses on P300-based BCIs which rely predominantly on event-related potentials (ERP) that are elicited as a function of a user's uncertainty regarding stimulus events, in either an acoustic or a visual oddball recognition task. The P300-based BCI system enables users to communicate messages from a set of choices by selecting a target character or icon that conveys a desired intent or action. P300-based BCIs have been widely researched as a communication alternative, especially in individuals with ALS who represent a target BCI user population. For the P300-based BCI, repeated data measurements are required to enhance the low signal-to-noise ratio of the elicited ERPs embedded in electroencephalography (EEG) data, in order to improve the accuracy of the target character estimation process. As a result, BCIs have relatively slower speeds when compared to other commercial assistive communication devices, and this limits BCI adoption by their target user population. The goal of this research is to develop algorithms that take into account the physical limitations of the target BCI population to improve the efficiency of ERP-based spellers for real-world communication.

In this work, it is hypothesised that building adaptive capabilities into the BCI framework can potentially give the BCI system the flexibility to improve performance by adjusting system parameters in response to changing user inputs. The research in this work addresses three potential areas for improvement within the P300 speller framework: information optimisation, target character estimation and error correction. The visual interface and its operation control the method by which the ERPs are elicited through the presentation of stimulus events. The parameters of the stimulus presentation paradigm can be modified to modulate and enhance the elicited ERPs. A new stimulus presentation paradigm is developed in order to maximise the information content that is presented to the user by tuning stimulus paradigm parameters to positively affect performance. Internally, the BCI system determines the amount of data to collect and the method by which these data are processed to estimate the user's target character. Algorithms that exploit language information are developed to enhance the target character estimation process and to correct erroneous BCI selections. In addition, a new model-based method to predict BCI performance is developed, an approach which is independent of stimulus presentation paradigm and accounts for dynamic data collection. The studies presented in this work provide evidence that the proposed methods for incorporating adaptive strategies in the three areas have the potential to significantly improve BCI communication rates, and the proposed method for predicting BCI performance provides a reliable means to pre-assess BCI performance without extensive online testing.

Therapeutic commitment for general nurses in dealing with mental health problems of People Living with HIV/AIDS in Blantyre, Malawi

Introduction Therapeutic commitment of general nurses influences their provision of mental health care to clients. It is the general nurses’ predisposition for working therapeutically with clients who have mental health problems (MHPs). In Malawi, general nurses are the majority of health care professionals who care for people living with HIV/AIDS (PLWHA) and they are expected to deal with the mental health problems of these patients. The provision of mental health care to PLWHA is vital because apart from the physical illnesses associated with the virus, these people are also affected by mental health problems. However, most general nurses, feel neither confident nor competent when dealing with the mental health problems of their clients in Malawi. This may negatively influence their therapeutic commitment in dealing with mental health problems of PLWHA. However, therapeutic commitment of general nurses in providing mental health care to PLWHA in Malawi remains unknown. Materials and Methods The study used a quantitative descriptive survey design. a convenient sample comprising of 136 general nurses was used and data was collected using Mental Health Problems Perception Questionnaire. Permission to use the tool in this study was granted by Prof. Lauder. Ethical approval to conduct the study was granted by Ethics Committees at University of KwaZulu Natal and University of Malawi. Data were analysed using Statistical Package for Social Sciences version 15.0. Results The study findings revealed that there is a linear relationship between general nurses’ levels of knowledge and skills and their therapeutic commitment (r=.40, n=136, p<.05) to provide mental health care of PLWHA. Conclusion This study suggests general nurses’ levels of therapeutic commitment in dealing with MHPs of PLWHA vary and their levels of knowledge and skill to deal with MHPs influence their willingness to provide mental health care to PLWHA.

Addressing the physical health of people with serious mental illness : a potential solution for an enduring problem

People with serious mental illness face significant inequalities in physical health care. As a result, the risk of cardiometabolic disorders and premature mortality is far greater than that observed in the general population. Contributiung to this disparity, is the lack of routine physical health screening by mental health clinicians. One possible solution is the implimentation of a physical health nurse consultant, whose role is to monitor and coordinate the physical health care of people with serious mental illness. Current evidence supports the implimentation of such a role, and a failure to address the widening gaps in physical health care will only serve to increase the disparities faced by people with serious mental illness.

Cannabis use and misuse prevalence among people with psychosis

Background: Increasing attention has been given by researchers to cannabis use in individuals with psychosis. As psychoses are relatively low-prevalence disorders, research has been mostly been restricted to small-scale studies of treatment samples.The reported prevalence estimates obtained from these studies vary widely. Aims: To provide prevalence estimates based on larger samples and to examine sources of variability in prevalence estimates across studies. Method: Data from 53 studies of treatment samples and 5 epidemiological studies were analysed. Results: Based on treatment sample data, prevalence estimates were calculated for current use (23.0%), current misuse (11.3%),12-month use (29.2%),12-month misuse (18.8%), lifetime use (42.1%) and lifetime misuse (22.5%). Epidemiological studies consistently reported higher cannabis use and misuse prevalence in people with psychosis. Conclusions: The factor most consistently associated with increased odds of cannabis prevalence was specificity of diagnosis. Factors such as consumption patterns and study design merit further consideration.