↓ Skip to main content

Implementation framework for chronic disease intervention effectiveness in Māori and other indigenous communities

Overview of attention for article published in Globalization and Health, September 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
2 policy sources
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
215 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Implementation framework for chronic disease intervention effectiveness in Māori and other indigenous communities
Published in
Globalization and Health, September 2017
DOI 10.1186/s12992-017-0295-8
Pubmed ID
Authors

John Oetzel, Nina Scott, Maui Hudson, Bridgette Masters-Awatere, Moana Rarere, Jeff Foote, Angela Beaton, Terry Ehau

Abstract

About 40% of all health burden in New Zealand is due to cancer, cardiovascular disease, and type 2 diabetes/obesity. Outcomes for Māori (indigenous people) are significantly worse than non-Maori; these inequities mirror those found in indigenous communities elsewhere. Evidence-based interventions with established efficacy may not be effective in indigenous communities without addressing specific implementation challenges. We present an implementation framework for interventions to prevent and treat chronic conditions for Māori and other indigenous communities. The He Pikinga Waiora Implementation Framework has indigenous self-determination at its core and consists of four elements: cultural-centeredness, community engagement, systems thinking, and integrated knowledge translation. All elements have conceptual fit with Kaupapa Māori aspirations (i.e., indigenous knowledge creation, theorizing, and methodology) and all have demonstrated evidence of positive implementation outcomes. A coding scheme derived from the Framework was applied to 13 studies of diabetes prevention in indigenous communities in Australia, Canada, New Zealand, and the United States from a systematic review. Cross-tabulations demonstrated that culture-centeredness (p = .008) and community engagement (p = .009) explained differences in diabetes outcomes and community engagement (p = .098) explained difference in blood pressure outcomes. The He Pikinga Waiora Implementation Framework appears to be well suited to advance implementation science for indigenous communities in general and Māori in particular. The framework has promise as a policy and planning tool to evaluate and design effective interventions for chronic disease prevention in indigenous communities.

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 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 15%
Student > Master 30 14%
Researcher 27 13%
Student > Ph. D. Student 18 8%
Other 12 6%
Other 41 19%
Unknown 54 25%
Readers by discipline Count As %
Medicine and Dentistry 43 20%
Nursing and Health Professions 36 17%
Social Sciences 25 12%
Business, Management and Accounting 7 3%
Psychology 7 3%
Other 31 14%
Unknown 66 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 July 2023.
All research outputs
#3,187,690
of 24,920,664 outputs
Outputs from Globalization and Health
#519
of 1,200 outputs
Outputs of similar age
#56,188
of 320,990 outputs
Outputs of similar age from Globalization and Health
#11
of 30 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 320,990 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.