136 resultados para aboriginal health research


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All research that investigates therapeutic practice should be conducted with the aim to develop and support good procedures of inquiry. An anti-oppressive practice approach within health research provides a way to systematically examine research procedures and motivations to increase the potential that the resultant research will yield ethical and just results. In this paper two music therapy researchers consider how anti-oppressive practices can address real life problems and be applicable to real life situations; from questions of participation, to developing the research question, recruitment, consent, and further steps of the research process. The goal of this paper is to examine issues arising when considering anti-oppressive practices and healthcare research practices from the perspective of the authors’ experience of music therapy research.

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OBJECTIVE: To define the role of social theory and examine how research studies using qualitative methods can use social theory to generalize their results beyond the setting of the study or to other social groups. APPROACH: The assumptions underlying public health research using qualitative methods derive from a range of social theories that include conflict theory, structural functionalism, symbolic interactionism, the sociology of knowledge and feminism. Depending on the research problem, these and other social theories provide conceptual tools and models for constructing a suitable research framework, and for collecting and analysing data. In combination with the substantive health literature, the theoretical literature provides the conceptual bridge that links the conclusions of the study to other social groups and settings. CONCLUSION: While descriptive studies using qualitative research methods can generate important insights into social experience, the use of social theory in the construction and conduct of research enables researchers to extrapolate their findings to settings and groups broader than the ones in which the research was conducted.

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Although random control trial is the gold standard in medical research, researchers are increasingly looking to alternative data sources for hypothesis generation and early-stage evidence collection. Coded clinical data are collected routinely in most hospitals. While they contain rich information directly related to the real clinical setting, they are both noisy and semantically diverse, making them difficult to analyze with conventional statistical tools. This paper presents a novel application of Bayesian nonparametric modeling to uncover latent information in coded clinical data. For a patient cohort, a Bayesian nonparametric model is used to reveal the common comorbidity groups shared by the patients and the proportion that each comorbidity group is reflected individual patient. To demonstrate the method, we present a case study based on hospitalization coding from an Australian hospital. The model recovered 15 comorbidity groups among 1012 patients hospitalized during a month. When patients from two areas of unequal socio-economic status were compared, it reveals higher prevalence of diverticular disease in the region of lower socio-economic status. The study builds a convincing case for routine coded data to speed up hypothesis generation.

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Australia has one of the best health care systems in the world. Despite this, the health of Indigenous Australians remains poor in comparison to non-Indigenous Australians and in comparison to other Indigenous peoples in other developed countries, such as Canada, the USA and New Zealand. Although the disparities in Indigenous health are the result of a complex array of interacting social and political processes, the historical failings of the nation's research endeavours to directly benefit the health status of Indigenous peoples are bring increasingly implicated in the status quo. Because of their shared memories of past bad experiences, Indigenous communities are profoundly distrustful of non-Indigenous health researchers. As a result of this distrust, opportunities to improve the performance, accountability and benefits of health research in Indigenous health domains are being lost—to the further detriment of the health of Indigenous peoples. In an attempt to redress this distrust and strengthen the research relationship in Indigenous health domains, various national research ethics guidelines and frameworks have been developed. It is evident, however, that if the research relationship in Indigenous health domains is to be improved, researchers need to do much more than merely uphold prescribed rules and guidelines. This article contends that if the research relationship in Indigenous health is to be strengthened, health researchers must also engage in the distinctive political processes of ‘recognition’ and ‘reconciliation’. In support of this contention, the processes of recognition and reconciliation are described, and their importance to improving the overall performance, accountability and benefits of Indigenous health research explained.

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This article focuses on the qualitative methodologies employed in a research project developed in collaboration with Aboriginal advisors and gaining an in-depth understanding of Aboriginal Victorian peoples' connection to their ancestral lands. It outlines why qualitative methodologies were used and highlights the ethical dimensions of working with Aboriginal Victorian communities. A research partnership was developed between Aboriginal Victorian communities and the non-Aboriginal researcher and this process was emphasised because in the past Australian Indigenous people have been grossly exploited in health research. The methods of semi-structured interviews and focus groups were used to gain a better understanding of this topic. The novel point of this article is that it provides an honest reflection of the benefits and limitations of this qualitative research process from the perspectives of a non-Aboriginal researcher and an Aboriginal participant, when emphasis is placed on a collaborative approach. The paper outlines what a successful qualitative research project looks like in Victorian Aboriginal communities. This can be used as a blueprint not only for working with Victorian Aboriginal communities, who have been marginalised within Australian society, but may also be relevant to other culturally diverse communities throughout the world.

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Genetics is at the forefront of medical research, but it is rarely used in Indigenous health research projects. This discussion paper is the outcome of the first ever national discussion of the conduct of genetic research in Indigenous communities in Australia convened by the Lowitja Institute in 2010. It reviews the ethical issues relevant to genetic research in an Australian Indigenous context; existing guidelines for genetic research in indigenous communities internationally; and literature on genetic literacy in Indigenous contexts. Finally, the discussion paper presents a summary of the productive and challenging conversations at the round table.

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Public participation in medical research and biobanking is considered key to advances in scientific discovery and translation to improved health care. Cultural concerns relating to blood have been found to affect the participation of indigenous peoples and minorities in research, but such concerns are rarely specified in the literature. This article presents a review of the role of blood in Australian Aboriginal cultures. We discuss the range of meanings and uses of blood in traditional culture, including their use in ceremonies, healing, and sorcery. We draw on more recent literature on Aboriginal Australians and biomedicine to consider how traditional beliefs may be changing over time. These findings provide an empirical basis for researchers and bioethicists to develop culturally grounded strategies to boost the participation of Aboriginal Australians in biomedical research. They also serve as a model for integrating anthropological literature with bioethical concerns that could be applied to other indigenous and minority groups.