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Systematic Overview of Rural Health Research in Australia Published in the Serial Literature
Author(s) -
Patterson Carla
Publication year - 2000
Publication title -
australian journal of rural health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.48
H-Index - 49
eISSN - 1440-1584
pISSN - 1038-5282
DOI - 10.1046/j.1440-1584.2000.00337.x
Subject(s) - indigenous , baseline (sea) , public health , rural health , rural area , medicine , public relations , political science , nursing , ecology , pathology , law , biology
It is acknowledged that research outcomes need to be made available to other researchers, practitioners and consumers if the benefits of such research are to be disseminated as quickly as possible to other researchers and translated to influence practice and produce new products. If strategies are to be developed on future research directions, an analysis of current output will provide baseline data as well as a map for analysing gaps and overlaps in the research effort. This paper provides an overview of rural health research output in serial publications from 1990. It highlights the content of such literature, the relationship to the National Health Priority Areas and the types of research produced. The overview showed that there was a yearly increase in the absolute number of defined research articles produced over the period. There was also an increase in the relative number of rural health articles that could be defined as research articles (as opposed to commentary‐type articles). Forty per cent of research articles are in the National Health Priority Areas and more than 30% address indigenous health specifically. Fifty per cent of articles address public health or health services issues. These data provide a general picture of the type and content of Australian rural health research that has been reported in the serial literature over the decade. This can be used to inform future strategies, provide the baseline for future targets, as well as giving a general picture of the gaps and overlaps from which more specific data can be compiled.