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Participatory systems approach to health improvement in Australian Aboriginal children

Overview of attention for article published in Health Promotion International, February 2014
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Title
Participatory systems approach to health improvement in Australian Aboriginal children
Published in
Health Promotion International, February 2014
DOI 10.1093/heapro/dau003
Pubmed ID
Authors

Elizabeth L. McDonald, Ross S. Bailie, Peter S. Morris

Abstract

The factors underlying poor child health in remote Australian Indigenous (Aboriginal and Torres Strait Islander) communities are complex. There is a lack of consistent and reliable information that allows: (i) the identification of priorities or areas of particular need at household and community levels; (ii) monitoring progress over time; and (iii) the assessment of the impact of interventions. This paper describes the process and methods used to identify the factors that underlie high rates of poor child health in remote Aboriginal communities in the Northern Territory (NT). This work has led to the development of indicators and tools suitable for use within a continuous quality improvement programme. Indigenous and non-Indigenous individuals from a range of disciplines and backgrounds participated in study activities. This allowed for a range of perspectives, including scientific, lay and Aboriginal perspectives, to be accommodated and reflected in study outcomes and outputs. Study participants identified a wide range of physical and social factors that they believe underlies poor child health in remote Aboriginal community contexts in the NT. The approach taken in this study provides some confidence that the indicators developed will be seen as meaningful and appropriate by the residents of remote communities and key stakeholders. Two tools have been developed and are now in use in the practice setting. One assesses social determinants of health at the community level, for example water supply, food supply. The second applies to individual households and assesses the social and environmental indicators that are recognized as placing children at greater risk of poor health and development outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Peru 1 1%
Belgium 1 1%
Unknown 81 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 17%
Student > Ph. D. Student 13 15%
Student > Bachelor 8 10%
Researcher 7 8%
Other 4 5%
Other 16 19%
Unknown 22 26%
Readers by discipline Count As %
Nursing and Health Professions 15 18%
Medicine and Dentistry 14 17%
Social Sciences 9 11%
Unspecified 4 5%
Psychology 3 4%
Other 12 14%
Unknown 27 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2014.
All research outputs
#14,191,572
of 22,747,498 outputs
Outputs from Health Promotion International
#1,383
of 1,784 outputs
Outputs of similar age
#172,688
of 307,195 outputs
Outputs of similar age from Health Promotion International
#12
of 20 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,784 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.