Ethnic disparities in health and health care: a focused review of the evidence and selected examples of good practice. Full report

This report arises from a project commissioned by the Department of Health's Equality and Human Rights Group to produce an evidence-based review with a national perspective that addresses (i) ethnic differentials in health and healthcare and (ii) evidence of effective NHS and other action, including seective examples of good practice to illustrate each area. Rather than aiming for comprehensive coverage, the Department suggested a document that focuses on selective topics and population health priorities drawn from the NHS plan, existing and developing National Service Frameworks, and other policy documents and which, collectively, are encompassed in the NHS's 10-point Race Equality Action Plan. The authors were not asked to review the evidence on other key areas (such ashypertension, stroke, disability, etc.), ethnic disparities in the wider determinants of health, and on some specific groups such as Gypsy Travellers and refugees and asylum seekers. Some of these topics are covered in other reviews.

Ethnic disparities in health and health care: a focused review of the evidence and selected examples of good practice. Executive summary

This report arises from a project commissioned by the Department of Health's Equality and Human Rights Group to produce an evidence-based review with a national perspective that addresses (i) ethnic differentials in health and healthcare and (ii) evidence of effective NHS and other action, including seective examples of good practice to illustrate each area. Rather than aiming for comprehensive coverage, the Department suggested a document that focuses on selective topics and population health priorities drawn from the NHS plan, existing and developing National Service Frameworks, and other policy documents and which, collectively, are encompassed in the NHS's 10-point Race Equality Action Plan. The authors were not asked to review the evidence on other key areas (such ashypertension, stroke, disability, etc.), ethnic disparities in the wider determinants of health, and on some specific groups such as Gypsy Travellers and refugees and asylum seekers. Some of these topics are covered in other reviews.

Health monitoring for black and minority ethnic groups

This paper explores some aspects of health monitoring in relation to black and ethnic minority populations in London. It considers where research in London and elsewhere has shown evidence of inequalities between ethnic groups, and draws out the issues for recording, analysis and sharing of ethnic-specific data.

The Size of the Problem: NAO Report - Tackling Obesity in England

Powerpoint presentation by Rob Pridequx from the National Audit office

Healthy child, healthy future - Speech and language therapy: Factsheet for parents 5. Does my child have a voice problem?

This factsheet describes voice disorders such as 'hoarseness' in children and what parents can do to help their child with a voice problem.

Do you look after someone? And are you from a black or minority ethnic background? (English and translations)

This leaflet is for BME (Black and Minority Ethnic) Carers. Carers can be people of all ages including children, young people, parents, older people. There is a cut off slip for BME Carers to fill in with their details. This information can then be sent to the Carer Worker in their local Trust. Details are on the leaflet.

Ethnic Minorities Mental Health Toolkit - a guide for practitioners

This toolkit considers how mental health is viewed in different cultures, barriers to accessing services, cultural competences in mental health, 'dos and don'ts' quick reference guide. There is also information on interpreting and translation services as well as other support organisations that practitioners can refer clients to.

Wolves in sheep's clothing: SDO asymmetrically predicts perceived ethnic victimization among White and Latino students across three years

Dominant groups have claimed to be the targets of discrimination on several historical occasions during violent intergroup conflict and genocide.The authors argue that perceptions of ethnic victimization among members of dominant groups express social dominance motives and thus may be recruited for the enforcement of group hierarchy. They examine the antecedents of perceived ethnic victimization among dominants, following 561 college students over 3 years from freshman year to graduation year. Using longitudinal, cross-lagged structural equation modeling, the authors show that social dominance orientation (SDO) positively predicts perceived ethnic victimization among Whites but not among Latinos, whereas victimization does not predict SDO over time. In contrast, ethnic identity and victimization reciprocally predicted each other longitudinally with equal strength among White and Latino students. SDO is not merely a reflection of contextualized social identity concerns but a psychological, relational motivation that undergirds intergroup attitudes across extended periods of time and interacts with the context of group dominance.

Using problem-based learning for introducing producer theory and market structure in intermediate microeconomics

This paper shows how instructors can use the problem‐based learning method to introduce producer theory and market structure in intermediate microeconomics courses. The paper proposes a framework where different decision problems are presented to students, who are asked to imagine that they are the managers of a firm who need to solve a problem in a particular business setting. In this setting, the instructors’ role isto provide both guidance to facilitate student learning and content knowledge on a just‐in‐time basis

A Bayesian network approach to the database serch problem in criminal proceedings

Background The 'database search problem', that is, the strengthening of a case - in terms of probative value - against an individual who is found as a result of a database search, has been approached during the last two decades with substantial mathematical analyses, accompanied by lively debate and centrally opposing conclusions. This represents a challenging obstacle in teaching but also hinders a balanced and coherent discussion of the topic within the wider scientific and legal community. This paper revisits and tracks the associated mathematical analyses in terms of Bayesian networks. Their derivation and discussion for capturing probabilistic arguments that explain the database search problem are outlined in detail. The resulting Bayesian networks offer a distinct view on the main debated issues, along with further clarity. Methods As a general framework for representing and analyzing formal arguments in probabilistic reasoning about uncertain target propositions (that is, whether or not a given individual is the source of a crime stain), this paper relies on graphical probability models, in particular, Bayesian networks. This graphical probability modeling approach is used to capture, within a single model, a series of key variables, such as the number of individuals in a database, the size of the population of potential crime stain sources, and the rarity of the corresponding analytical characteristics in a relevant population. Results This paper demonstrates the feasibility of deriving Bayesian network structures for analyzing, representing, and tracking the database search problem. The output of the proposed models can be shown to agree with existing but exclusively formulaic approaches. Conclusions The proposed Bayesian networks allow one to capture and analyze the currently most well-supported but reputedly counter-intuitive and difficult solution to the database search problem in a way that goes beyond the traditional, purely formulaic expressions. The method's graphical environment, along with its computational and probabilistic architectures, represents a rich package that offers analysts and discussants with additional modes of interaction, concise representation, and coherent communication.

Alternative ways to estimate change points in multinomial sequences. An application to an authorship attribution problem

The statistical analysis of literary style is the part of stylometry that compares measurable characteristicsin a text that are rarely controlled by the author, with those in other texts. When thegoal is to settle authorship questions, these characteristics should relate to the author’s style andnot to the genre, epoch or editor, and they should be such that their variation between authors islarger than the variation within comparable texts from the same author.For an overview of the literature on stylometry and some of the techniques involved, see for exampleMosteller and Wallace (1964, 82), Herdan (1964), Morton (1978), Holmes (1985), Oakes (1998) orLebart, Salem and Berry (1998).Tirant lo Blanc, a chivalry book, is the main work in catalan literature and it was hailed to be“the best book of its kind in the world” by Cervantes in Don Quixote. Considered by writterslike Vargas Llosa or Damaso Alonso to be the first modern novel in Europe, it has been translatedseveral times into Spanish, Italian and French, with modern English translations by Rosenthal(1996) and La Fontaine (1993). The main body of this book was written between 1460 and 1465,but it was not printed until 1490.There is an intense and long lasting debate around its authorship sprouting from its first edition,where its introduction states that the whole book is the work of Martorell (1413?-1468), while atthe end it is stated that the last one fourth of the book is by Galba (?-1490), after the death ofMartorell. Some of the authors that support the theory of single authorship are Riquer (1990),Chiner (1993) and Badia (1993), while some of those supporting the double authorship are Riquer(1947), Coromines (1956) and Ferrando (1995). For an overview of this debate, see Riquer (1990).Neither of the two candidate authors left any text comparable to the one under study, and thereforediscriminant analysis can not be used to help classify chapters by author. By using sample textsencompassing about ten percent of the book, and looking at word length and at the use of 44conjunctions, prepositions and articles, Ginebra and Cabos (1998) detect heterogeneities that mightindicate the existence of two authors. By analyzing the diversity of the vocabulary, Riba andGinebra (2000) estimates that stylistic boundary to be near chapter 383.Following the lead of the extensive literature, this paper looks into word length, the use of the mostfrequent words and into the use of vowels in each chapter of the book. Given that the featuresselected are categorical, that leads to three contingency tables of ordered rows and therefore tothree sequences of multinomial observations.Section 2 explores these sequences graphically, observing a clear shift in their distribution. Section 3describes the problem of the estimation of a suden change-point in those sequences, in the followingsections we propose various ways to estimate change-points in multinomial sequences; the methodin section 4 involves fitting models for polytomous data, the one in Section 5 fits gamma modelsonto the sequence of Chi-square distances between each row profiles and the average profile, theone in Section 6 fits models onto the sequence of values taken by the first component of thecorrespondence analysis as well as onto sequences of other summary measures like the averageword length. In Section 7 we fit models onto the marginal binomial sequences to identify thefeatures that distinguish the chapters before and after that boundary. Most methods rely heavilyon the use of generalized linear models