Int J Health Geogr - Developing the atlas of cancer in Queensland: methodological issues.

Tópicos

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{ patient(2315) diseas(1263) diabet(1191) }
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{ research(1085) discuss(1038) issu(1018) }
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{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
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{ care(1570) inform(1187) nurs(1089) }
{ health(3367) inform(1360) care(1135) }
{ ehr(2073) health(1662) electron(1139) }
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Resumo

CKGROUND: Achieving health equity has been identified as a major challenge, both internationally and within Australia. Inequalities in cancer outcomes are well documented, and must be quantified before they can be addressed. One method of portraying geographical variation in data uses maps. Recently we have produced thematic maps showing the geographical variation in cancer incidence and survival across Queensland, Australia. This article documents the decisions and rationale used in producing these maps, with the aim to assist others in producing chronic disease atlases.METHODS: Bayesian hierarchical models were used to produce the estimates. Justification for the cancers chosen, geographical areas used, modelling method, outcome measures mapped, production of the adjacency matrix, assessment of convergence, sensitivity analyses performed and determination of significant geographical variation is provided.CONCLUSIONS: Although careful consideration of many issues is required, chronic disease atlases are a useful tool for assessing and quantifying geographical inequalities. In addition they help focus research efforts to investigate why the observed inequalities exist, which in turn inform advocacy, policy, support and education programs designed to reduce these inequalities.

Resumo Limpo

ckground achiev health equiti identifi major challeng intern within australia inequ cancer outcom well document must quantifi can address one method portray geograph variat data use map recent produc themat map show geograph variat cancer incid surviv across queensland australia articl document decis rational use produc map aim assist other produc chronic diseas atlasesmethod bayesian hierarch model use produc estim justif cancer chosen geograph area use model method outcom measur map product adjac matrix assess converg sensit analys perform determin signific geograph variat providedconclus although care consider mani issu requir chronic diseas atlas use tool assess quantifi geograph inequ addit help focus research effort investig observ inequ exist turn inform advocaci polici support educ program design reduc inequ

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