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Assessing children’s interpretations of the Aboriginal Children’s Health and Well-Being Measure (ACHWM)

Overview of attention for article published in Health and Quality of Life Outcomes, July 2015
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Title
Assessing children’s interpretations of the Aboriginal Children’s Health and Well-Being Measure (ACHWM)
Published in
Health and Quality of Life Outcomes, July 2015
DOI 10.1186/s12955-015-0296-3
Pubmed ID
Authors

Nancy L. Young, Mary Jo Wabano, Stephen D. Ritchie, Tricia A. Burke, Brenda Pangowish, Rita G. Corbiere

Abstract

There are emerging opportunities to improve the health of Aboriginal children and youth. The Aboriginal Children's Health and Well-being Measure (ACHWM) was developed to enable Aboriginal communities to obtain group-level data from the perspectives of their children 8 to 18 years of age. The survey was developed in collaboration with children, based on the Medicine Wheel framework. The purpose of this study was to ensure that children and youth interpreted the ACHWM questions consistently and accurately and to establish the face validity of the survey. Children and parents/caregivers from the Wikwemikong Unceded Indian Reserve (Canada) participated in a detailed interview process as they completed the ACHWM, in 2012. Each participant worked through their thought process verbally, to enable the interviewer to identify questions that were misinterpreted or inconsistently interpreted. Questions were revised based on feedback from the participants, and reviewed with new participants until a stable version was established. The resulting version was reviewed by health care providers and community members to further ensure cultural relevance and face validity within the community. A total of 18 interviews, with 9 children and 9 caregivers, were required to achieve a stable version of the survey. The children ranged in age from 8 to 18 years. Revisions were required for 19 questions. Most of these revisions were minor linguistic changes. In addition, 6 questions were deleted due to consistent problems and 4 questions were created to address gaps identified during the process. Community members confirmed the appropriateness of the measure for their community and communicated their pride in their youth's role in the development of this survey. The result was a 58-question version of the ACHWM that was consistently interpreted and culturally appropriate, and had face validity confirmed by experts from the community, children and their parents/caregivers. The ACHWM is ready to be assessed for relevance to other Aboriginal communities.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 23%
Student > Bachelor 8 12%
Student > Ph. D. Student 7 11%
Researcher 6 9%
Unspecified 5 8%
Other 11 17%
Unknown 14 21%
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Social Sciences 12 18%
Nursing and Health Professions 9 14%
Psychology 6 9%
Unspecified 5 8%
Other 6 9%
Unknown 15 23%
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 22 July 2015.
All research outputs
#18,418,919
of 22,817,213 outputs
Outputs from Health and Quality of Life Outcomes
#1,669
of 2,158 outputs
Outputs of similar age
#189,675
of 263,986 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#36
of 61 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% 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 263,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.