4 resultados para SOCIAL STATISTICS.

em University of Queensland eSpace - Australia


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Registration of births, recording deaths by age, sex and cause, and calculating mortality levels and differentials are fundamental to evidence-based health policy, monitoring and evaluation. Yet few of the countries with the greatest need for these data have functioning systems to produce them despite legislation providing for the establishment and maintenance of vital registration. Sample vital registration (SVR), when applied in conjunction with validated verbal autopsy, procedures and implemented in a nationally representative sample of population clusters represents an affordable, cost-effective, and sustainable short- and medium-term solution to this problem. SVR complements other information sources by producing age-, sex-, and cause-specific mortality data that are more complete and continuous than those currently available. The tools and methods employed in an SVR system, however, are imperfect and require rigorous validation and continuous quality assurance; sampling strategies for SVR are also still evolving. Nonetheless, interest in establishing SVR is rapidly growing in Africa and Asia. Better systems for reporting and recording data on vital events will be sustainable only if developed hand-in-hand with existing health information strategies at the national and district levels; governance structures; and agendas for social research and development monitoring. If the global community wishes to have mortality measurements 5 or 10 years hence, the foundation stones of SVR must be laid today.

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Background: Developing the knowledge base on the impact of aphasia on people's social lives has become increasingly important in recent times to further our understanding of the broad consequences of communication disability and thus provide appropriate services. Past research clearly indicates that relationships and social activities with family members and others undergo change with the onset of aphasia in an individual, however more evidence of a quantitative nature would be beneficial. Aims: The current research furthers our knowledge by quantifying chronically aphasic older people's regular social contacts and social activities, and places them in context by comparing them with healthy older people of similar age and education. Methods & Procedures: A total of 30 aphasic participants aged 57 to 88 years, and 71 non-aphasic controls aged 62 to 98 years were interviewed by a speech and language therapist using self-report measures of Social Network Analysis (Antonucci & Akiyama, 1987) and Social Activities Checklist (Cruice, 2001, in Worrall & Hickson, 2003). Demographic information was also collected. Descriptive statistics are presented and independent samples t tests were used to examine differences between the groups. Outcomes & Results: Participants with primarily mild to moderate aphasic impairment reported a considerable range of social contacts (5-51) and social activities (8-18). Many significant differences were evident between the two groups' social contacts and activities. On average, aphasic participants had nine fewer social contacts (mainly friend'' relationships) and three fewer social activities (mainly leisure'' activities) than their non-aphasic peers. The majority of controls were satisfied with their social activities, whereas the majority of aphasic participants were not and wanted to be doing more. There were some general similarities between the groups, in terms of range of social contacts, overall pattern of social relationships, and core social activities. Conclusions: Older people with chronic aphasia had significantly fewer social contacts and social activities than their peers. People with aphasia expressed a desire to increase the social activity of their lives. Given the importance of leisure activity and relationships with friends as well as family for positive well-being, speech and language therapists may direct their rehabilitation efforts towards two areas: (1) conversational partner programmes training friends to maintain these relationships; and (2) encouraging and supporting aphasic clients in leisure activities of their choice.

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The paper investigates a Bayesian hierarchical model for the analysis of categorical longitudinal data from a large social survey of immigrants to Australia. Data for each subject are observed on three separate occasions, or waves, of the survey. One of the features of the data set is that observations for some variables are missing for at least one wave. A model for the employment status of immigrants is developed by introducing, at the first stage of a hierarchical model, a multinomial model for the response and then subsequent terms are introduced to explain wave and subject effects. To estimate the model, we use the Gibbs sampler, which allows missing data for both the response and the explanatory variables to be imputed at each iteration of the algorithm, given some appropriate prior distributions. After accounting for significant covariate effects in the model, results show that the relative probability of remaining unemployed diminished with time following arrival in Australia.