Management of Hyperphosphataemia in Chronic Kidney Disease:Summary of National Institute for Health and Clinical Excellence (NICE) Guideline

Bone disease and ectopic calcification are the two main consequences of hyperphosphataemia of chronic kidney disease (CKD). Observational studies have demonstrated that hyperphosphataemia in CKD is associated with increased mortality. Furthermore, the use of phosphate binders in dialysis patients is associated with significantly lower mortality. The UK Renal Registry data show significant underachievement of phosphate targets in dialysis patients. It is believed to be due to wide variation in how management interventions are used. The National Institute for Health and Clinical Excellence (NICE) has developed a guideline on the management of hyperphosphataemia in CKD. This is based on the evidence currently available using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. This review outlines the recommendations including research recommendations and discusses methodology, rationale and challenges faced in developing this guideline and the health economic model used to assess the cost-effectiveness of different phosphate binders. © 2013 S. Karger AG, Basel.

Knowledge of UK physical activity guidelines:Implications for better targeted health promotion

Objective. The aim of this study is to investigate the correlates of knowledge of the UK physical activity (PA) guidelines.

Method. A Northern Ireland-wide population survey (2010/2011) of 4653 adults provided cross-sectional data on PA, knowledge of guidelines and socio demographic characteristics. Multinomial logistic regression was used to investigate the associations between knowledge and socio-demographic characteristics (Model 1); and modifiable health behaviours (Model 2).

Results. Results showed that 47% of respondents were unaware of PA guidelines. Males who had a lower level of education (OR 5.91; 95% CI 1.67, 20.94), lived in more deprived areas (OR 4.80; 95% CI 1.87, 12.30), low income (OR 2.36; 95% CI 1.63, 3.41) and did no PA (OR 2.74; 95% CI 1.31, 5.76) were more likely to be unaware of the guidelines. Females who were younger (OR 1.03; 95% CI 1.02, 1.05) and reported poor health (OR 2.71; 95% CI 1.61, 4.58) were more likely to be unaware of the guidelines.

Conclusion. There is a lack of awareness about the levels of PA needed to promote health. An understanding of the characteristics of those who are unaware of the guidelines has important implications for the design of targeted, effective health promotion.

“I used to think that they were all abnormal. And I was the normal one”: conceptualizing mental health and mental health treatment under Improving Access to Psychological Therapies (IAPT)

Background: Improving Access to Psychological Therapies (IAPT) was introduced in the United Kingdom in 2006 to provide more effective and efficient services to people experiencing mild to moderate mental ill health. The model represents a paradigm shift in how we provide psychological care to large populations. Aims: We wanted to document how the IAPT programme impacted on patients’ understanding of their mental health, and mental health treatment. Methods: We used Foucauldian Discourse Analysis to analyse six semi-structured research interviews with patients from one IAPT service in a major UK city. Results: Participants constructed their mental health problems as individual pathologies. Constructions of mental health and of treatment evidenced the privileging of personal responsibility and social productivity over dependency on others and the state. Conclusions: Services are functioning well for some. The role of IAPT in pathologising those who are dependent on people and services requires further commentary and action. Declaration of interest: The first author was employed by the same organisation that delivered the IAPT service, although through a separate staffing and management line.

Reforming health-care management in Latin America

Includes bibliography

Family Health Strategy Professionals Facing Medical Social Needs: difficulties and coping strategies

Professionals of Family Health Strategy (FHS) work in communities where there are complex medical social problems. These contexts may lead them to psychological suffering, jeopardizing their care for the users, and creating yet another obstacle to the consolidation of FHS as the primary health care model in Brazil. The study investigated the difficulties and coping strategies reported by health professionals of the FHS teams when they face medical social needs of the communities where they work. Focus groups and semi-structured interviews were carried out with 68 professionals of three primary care units in the city of Sao Paulo (Southeastern Brazil). Drug dealing and abuse, alcoholism, depression and domestic violence are the most relevant problems mentioned by the study group. Professionals reported lack of adequate training, work overload, poor working conditions with feelings of professional impotence and frustration. To overcome these difficulties, professionals reported collective strategies, particularly experience sharing during team meetings and matrix support groups. The results indicate that the difficulties may put the professionals in a vulnerable state, similar to the patients they care for. The promotion of specialized and long term support should be reinforced, as well as the interaction with the local network of services and communities leaders. That may help professionals to deal with occupational stress related to medical and social needs present in their routine work; in the end, it may as well contribute to the strengthening of FHS.

The Environmental Theme in Representations and Practices of Family Health Professionals in the Municipality of Manaus - State of Amazonas/Brazil

There are abundant scientific evidences showing that the increased risk of exposure to diseases is a consequence of anthropogenic environmental changes. In the Family Health Strategy, tasks with a clear environmental focus are prescribed, indicating to the professional teams that they should consider these aspects in their health practices. The objective of this research was to study representations and practices of Family Health Professionals of Manaus - State of Amazonas, Northern Brazil - about environmental issues and their interface with public health. Data were collected by means of participant observation and semi-structured interviews, and the qualitative analysis was carried out through Content Analysis and Methodological Triangulation. The results showed that most professionals do not understand the environment in a systemic way, even though they recognize the great impact that environmental factors have on human health; as interventions, the educational practices follow traditional methodologies and focus on blaming the individual and on the simple transmission of knowledge; the professionals' relationship with the community is limited to personal and/or collective care. It is concluded that in order to the Family Health Strategy to contribute to restructure the system, it is essential to redirect this new health policy model so that it becomes effective as a social and environmental practice.

Statistical model-based segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs.

PURPOSE    Segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs is required to create a three-dimensional model of the hip joint for use in planning and treatment. However, manually extracting the femoral contour is tedious and prone to subjective bias, while automatic segmentation must accommodate poor image quality, anatomical structure overlap, and femur deformity. A new method was developed for femur segmentation in AP pelvic radiographs. METHODS    Using manual annotations on 100 AP pelvic radiographs, a statistical shape model (SSM) and a statistical appearance model (SAM) of the femur contour were constructed. The SSM and SAM were used to segment new AP pelvic radiographs with a three-stage approach. At initialization, the mean SSM model is coarsely registered to the femur in the AP radiograph through a scaled rigid registration. Mahalanobis distance defined on the SAM is employed as the search criteria for each annotated suggested landmark location. Dynamic programming was used to eliminate ambiguities. After all landmarks are assigned, a regularized non-rigid registration method deforms the current mean shape of SSM to produce a new segmentation of proximal femur. The second and third stages are iteratively executed to convergence. RESULTS    A set of 100 clinical AP pelvic radiographs (not used for training) were evaluated. The mean segmentation error was [Formula: see text], requiring [Formula: see text] s per case when implemented with Matlab. The influence of the initialization on segmentation results was tested by six clinicians, demonstrating no significance difference. CONCLUSIONS    A fast, robust and accurate method for femur segmentation in digital AP pelvic radiographs was developed by combining SSM and SAM with dynamic programming. This method can be extended to segmentation of other bony structures such as the pelvis.

Multi-Model Data Fusion to Improve an Early Warning System for Hypo-/Hyperglycemic Events

Correct predictions of future blood glucose levels in individuals with Type 1 Diabetes (T1D) can be used to provide early warning of upcoming hypo-/hyperglycemic events and thus to improve the patient's safety. To increase prediction accuracy and efficiency, various approaches have been proposed which combine multiple predictors to produce superior results compared to single predictors. Three methods for model fusion are presented and comparatively assessed. Data from 23 T1D subjects under sensor-augmented pump (SAP) therapy were used in two adaptive data-driven models (an autoregressive model with output correction - cARX, and a recurrent neural network - RNN). Data fusion techniques based on i) Dempster-Shafer Evidential Theory (DST), ii) Genetic Algorithms (GA), and iii) Genetic Programming (GP) were used to merge the complimentary performances of the prediction models. The fused output is used in a warning algorithm to issue alarms of upcoming hypo-/hyperglycemic events. The fusion schemes showed improved performance with lower root mean square errors, lower time lags, and higher correlation. In the warning algorithm, median daily false alarms (DFA) of 0.25%, and 100% correct alarms (CA) were obtained for both event types. The detection times (DT) before occurrence of events were 13.0 and 12.1 min respectively for hypo-/hyperglycemic events. Compared to the cARX and RNN models, and a linear fusion of the two, the proposed fusion schemes represents a significant improvement.

A study of the determinants of the utilization of preventive health care service among Chicanos

This study examines the individual and health care system determinants of two types of preventive health care practice behaviors, having a routine physical exam or a preventive dental exam, in the past year among Chicanos in the Southwestern United States. The study utilizes the Health System Model, developed by Aday and Andersen in 1974, to analyze the relative effect of education, income and occupation on the use of discretionary health care, controlling for other individual and health care system determinants.^ The study is based on a sample of 4,111 Mexican origin adults, drawn from the Hispanic Health and Nutrition Examination Survey (HHANES). This sample is representative of Mexican American residing in the Southwestern United States.^ The study tests the hypothesis that education is the most important social class predictor of preventive health care practice behavior. The fully elaborated model tests the hypothesis that individual determinants alone are insufficient to explain the use of preventive health care services among Chicanos.^ The study found that education and income are statistically significant social class indicators only as it relates to having a preventive dental exam. Education is not the most important social class predictor of either preventive health care practice behavior. Health care system determinants are key predictors of both behaviors. Need, as measured by self-perceived health status of teeth and gender, is as important a determinant as having dental insurance coverage as it relates to having a preventive dental exam. Implications for health programs to effectively reach Chicano target groups and remove access barriers to their use of discretionary health care services are discussed. ^

Economics and health promotion

Health promotion activities consume a growing proportion of health sector spending in most developed countries. Yet, there is still considerable debate in the non-economic literature about exactly what health promotion constitutes and precisely how its role is to be conceived. This paper provides one economic answer to such questions. It sets out an argument that health promotion may be viewed, through the lens of traditional welfare economics, as a response to problems of market failure. A Grossman-type health investment model is invoked to analyse individual deviations from equilibrium and the possible instruments and targets of health promotion policy. The paper concludes by suggesting some of the alternative conceptual approaches that might be brought to bear, as well as some ideas for empirical research.

Development and evaluation of a youth mental health community awareness campaign - The Compass Strategy

Background: Early detection and treatment of mental disorders in adolescents and young adults can lead to better health outcomes. Mental health literacy is a key to early recognition and help seeking. Whilst a number of population health initiatives have attempted to improve mental health literacy, none to date have specifically targeted young people nor have they applied the rigorous standards of population health models now accepted as best practice in other health areas. This paper describes the outcomes from the application of a health promotion model to the development, implementation and evaluation of a community awareness campaign designed to improve mental health literacy and early help seeking amongst young people. Method: The Compass Strategy was implemented in the western metropolitan Melbourne and Barwon regions of Victoria, Australia. The Precede-Proceed Model guided the population assessment, campaign strategy development and evaluation. The campaign included the use of multimedia, a website, and an information telephone service. Multiple levels of evaluation were conducted. This included a cross-sectional telephone survey of mental health literacy undertaken before and after 14 months of the campaign using a quasi-experimental design. Randomly selected independent samples of 600 young people aged 12 - 25 years from the experimental region and another 600 from a comparison region were interviewed at each time point. A series of binary logistic regression analyses were used to measure the association between a range of campaign outcome variables and the predictor variables of region and time. Results: The program was judged to have an impact on the following variables, as indicated by significant region-by-time interaction effects ( p < 0.05): awareness of mental health campaigns, self-identified depression, help for depression sought in the previous year, correct estimate of prevalence of mental health problems, increased awareness of suicide risk, and a reduction in perceived barriers to help seeking. These effects may be underestimated because media distribution error resulted in a small amount of print material leaking into the comparison region. Conclusion: We believe this is the first study to apply the rigorous standards of a health promotion model including the use of a control region to a mental health population intervention. The program achieved many of its aims despite the relatively short duration and moderate intensity of the campaign.

A Case Study of Health Tourism in the Jeju Province, South Korea

The United States Census Bureau (2006) reported that in 2005 more than 46 million Americans lacked health insurance, and that by 2019 national spending for health care would exceed $4.5 trillion (Centers for Medicare & Medicaid Services, 2010). Because those numbers are expected to increase, health tourists are seeking better opportunities for low-cost, high-quality treatment in other countries, plus the added benefit of experiencing foreign cultures. Health tourism is a rapidly growing market in both advanced and developing countries. The purpose of this study was to develop an applicable model of health tourism, the Jeju-Style Health Tourism Model, for Jeju Special Self-Governing Province, in the Republic of Korea (South Korea) and to provide other cities and countries with its implications. This study employed a focus group, indepth interviews, and content analysis to discover important factors in developing the model. The results suggested that four major sources must be executed together to maximize the benefits of health tourism development. On a foundation of natural resources, knowledge-based resources were most important (54.5%), followed by artificial resources (25.7%), and expenses-based resources (19.8%).