993,910 research outputs found

    Race and ethnicity

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    Racial/Ethnic Disparities in Infectious Disease Hospitalizations in Arizona

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    Infectious disease (ID) hospitalizations in Arizona, a diverse population with nearly complete race/ethnicity data, were analyzed using the State Inpatient Database for 2005-2008. ID hospitalizations rates were calculated and compared by ID group, race/ethnicity, age, and sex. During 2005-2008, there were 383,597 ID hospitalizations reported in Arizona, resulting in an age-adjusted rate of 1498.1 per 100,000 persons. A range of racial/ethnic disparities in ID hospitalization rates were noted. Persons of Native American and black race/ethnicity had overall ID hospitalization rates higher than the rate for persons of white race/ethnicity; persons of Asian or Pacific Islander race/ethnicity had a lower rate. The lower respiratory tract infection (LRTI) hospitalization rate was the highest rate of all ID groups, followed by cellulitis and septicemia. Persons of black and Native American race had higher LRTI hospitalization rates than persons of white race. Racial/ethnic disparities persist for ID hospitalizations in Arizona. Persons of Native American and black race/ethnicity experience high age-adjusted rates of ID hospitalization. Prevention efforts should focus on high risk race/ethnicity groups and disease groups

    Ethnicity: GoWell in the East End: Ethnicity in the Baseline Survey

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    In 2012, GoWell East conducted a community survey around the main Glasgow 2014 Commonwealth Games sites in the East End of the city. This survey was planned as part of a longer-term evaluation of the impacts of the Games for the host community in the East End of Glasgow.  This ‘Ethnicity’ report is part of a set of four ‘Equalities’ reports, designed to provide a baseline of differences between various equalities groups prior to the Games, in relation to the Scottish Government’s four legacy themes: Active; Flourishing; Connected; and Sustainable. Three other reports examine equality issues relating to gender, longstanding illness and disability and household type

    Assessing the performance of the Asian/Pacific islander identification algorithm to infer Hmong ethnicity from electronic health records in California.

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    OBJECTIVE:This study assesses the performance of the North American Association of Central Cancer Registries Asian/Pacific Islander Identification Algorithm (NAPIIA) to infer Hmong ethnicity. DESIGN AND SETTING:Analyses of electronic health records (EHRs) from 1 January 2011 to 1 October 2015. The NAPIIA was applied to the EHR data, and self-reported Hmong ethnicity from a questionnaire was used as the gold standard. Sensitivity, specificity, positive (PPV) and negative predictive values (NPVs) were calculated comparing the source data ethnicity inferred by the algorithm with the self-reported ethnicity from the questionnaire. PARTICIPANTS:EHRs indicating Hmong, Chinese, Vietnamese and Korean ethnicity who met the original study inclusion criteria were analysed. RESULTS:The NAPIIA had a sensitivity of 78%, a specificity of 99.9%, a PPV of 96% and an NPV of 99%. The prevalence of Hmong population in the sample was 3.9%. CONCLUSION:The high sensitivity of the NAPIIA indicates its effectiveness in detecting Hmong ethnicity. The applicability of the NAPIIA to a multitude of Asian subgroups can advance Asian health disparity research by enabling researchers to disaggregate Asian data and unmask health challenges of different Asian subgroups

    Ethnicity, gender and poverty in the United Kingdom

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    Gender and ethnicity remain two of the most important factors influencing individuals economic well being. However, a person's likelihood of being in poverty cannot simply be 'read off' from their gender or ethnicity. This briefing paper analyses the statistics relating to gender and ethnicity and highlights the complex intersection of the two. Some of the implications for policy makers are also drawn out

    Race/Ethnicity and Arts Participation: Findings from the Survey of Public Participation in the Arts

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    This report analyzes data from the 1982, 1985, 1992, 2002, and 2008 Surveys of Public Participation in the Arts (SPPA). Analyses focus on differential arts participation by race/ethnicity and the effect of race/ethnicity on arts participation. Descriptive and inferential analyses explore trends in arts participation by race/ethnicity across the five rounds of SPPA data. The authors find that, generally, the numbers and proportions of all race/ethnic groups that participate in the arts through attendance at arts events and arts creation are declining over time. The proportion of arts audiences that is white is not declining, despite the fact that the proportion of the national population that is white is declining. Race/ethnic group, per se, is not a strong predictor of attendance at arts events, but it is a good predictor of arts creation activities. Whites and Asians have had arts learning experiences at a greater rate than have blacks and Hispanics. Appendices include: (1) Descriptive statistics, 1982-2008; (2) Participation rate in core arts domains, by race/ethnicity, 1992-2008; (3) Participation rate in core arts creation domain, by race/ethnicity, 1992-2008; (4) Race/ethnic composition of arts creators, by arts creation domain, 1992-2008; (5) Effects of race/ethnicity, educational attainment, and their interactions on specific arts participation (full results); (6) Effects of race/ethnicity, household income, and their interactions on specific arts participation (full results); (7) Effects of race/ethnicity on specific arts creation (full results); and (8) Analysis of logistic regression assumptions. (Contains 36 figures, 40 tables and 7 footnotes.
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