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Community health workers improve diabetes care in remote Australian Indigenous communities: results of a pragmatic cluster randomized controlled trial

Overview of attention for article published in BMC Health Services Research, February 2015
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Title
Community health workers improve diabetes care in remote Australian Indigenous communities: results of a pragmatic cluster randomized controlled trial
Published in
BMC Health Services Research, February 2015
DOI 10.1186/s12913-015-0695-5
Pubmed ID
Authors

Robyn A McDermott, Barbara Schmidt, Cilla Preece, Vickie Owens, Sean Taylor, Ming Li, Adrian Esterman

Abstract

Health outcomes for Indigenous Australians with diabetes in remote areas remain poor, including high rates of avoidable complications which could be reduced with better primary level care. We aimed to evaluate the effectiveness of a community-based health-worker led case management approach to the care of Indigenous adults with poorly controlled type 2 diabetes in primary care services in remote northern Australia. Two hundred and thirteen adults with poorly controlled diabetes (HbA1c > 8.5%) and significant comorbidities in 12 remote communities were randomly assigned by service cluster to receive chronic care co-ordination from a community-based health worker supported by a clinical outreach team, or to a waitlist control group which received usual care. At baseline, mean age of participants was 47.9 years, 62.4% were female, half were Aboriginal and half identified as Torres Strait Islander, 67% had less than 12 years of education, 39% were smokers, median income was $18,200 and 47% were unemployed. Mean HbA1c was 10.7% (93 mmol/mol) and BMI 32.5. At follow-up after 18 months, HbA1c reduction was significantly greater in the intervention group (-1.0% vs -0.2%, SE (diff) = 0.2, p = 0.02). There were no significant differences between the groups for blood pressure, lipid profile, BMI or renal function. Intervention group participants were more likely to receive nutrition and dental services according to scheduled care plans. Smoking rates were unchanged. A culturally safe, community level health-worker led model of diabetes care for high risk patients can be effective in improving diabetes control in remote Indigenous Australian communities where there is poor access to mainstream services. This approach can be effective in other remote settings, but requires longer term evaluation to capture accrued benefits. ANZCTR 12610000812099 , Registered 29 September 2010.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 299 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 18%
Student > Bachelor 48 16%
Researcher 26 9%
Student > Ph. D. Student 26 9%
Student > Doctoral Student 20 7%
Other 54 18%
Unknown 72 24%
Readers by discipline Count As %
Medicine and Dentistry 80 27%
Nursing and Health Professions 60 20%
Social Sciences 25 8%
Agricultural and Biological Sciences 11 4%
Psychology 9 3%
Other 35 12%
Unknown 79 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 June 2016.
All research outputs
#15,331,767
of 22,803,211 outputs
Outputs from BMC Health Services Research
#5,557
of 7,630 outputs
Outputs of similar age
#151,058
of 255,112 outputs
Outputs of similar age from BMC Health Services Research
#59
of 88 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,630 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 255,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.