Validity of the Aboriginal Children’s Health and Well-being Measure: Aaniish Naa Gegii?

Young, Nancy L.; Wabano, Mary Jo; Usuba, Koyo; Pangowish, Brenda; Trottier, Mélanie; Jacko, Diane; Burke, Tricia A.; Corbiere, Rita G.

doi:10.1186/s12955-015-0351-0

Cited by 15 publications

(33 citation statements)

References 26 publications

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“…The measure has four quadrant scores, representing the four directions of the medicine wheel. The validity and reliability of the ACHWM have previously been established, [13][14][15] as has its relevance to other Aboriginal communities in Ontario. [16][17][18] The objective of this paper is to describe the ACHWM screening process and evaluate its effectiveness.…”

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confidence: 99%

A screening mechanism to recognize and support at-risk Aboriginal children

Young

Jacko²,

Wabano³

et al. 2016

Can J Public Health

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OBJECTIVES:The Aboriginal Children's Health and Well-Being Measure© (ACHWM) was developed to assess health from the perspectives of Aboriginal children. The purpose of this paper is to document the screening process, embedded within the ACHWM, and assess its effectiveness. METHODS:The ACHWM was implemented in 2014/2015 with children 8 to 18 years of age living on the Wiikwemkoong Unceded Territory. Survey responses were screened to identify potential risk, using an automated algorithm run on computer tablets. Local mental health workers conducted brief mental health assessments to identify and support children at-risk. Data were analyzed to estimate effectiveness of this screening process.RESULTS: A total of 293 children completed the ACHWM. The screening tool identified 35% with potential risk. Mental health workers confirmed 18% of all participants as being at-risk, and all were referred for support. The sensitivity of the tool was 75% while specificity was 79%. Improvements to the screening algorithm resulted in a specificity of 97% and negative predictive value of 95%, with no loss of sensitivity.CONCLUSION: Responsible population health surveys require a process to recognize and respond to answers indicative of health risks. This paper provides an example of a screening and triage process that enabled our survey team to screen responses in real time, respond to potential risk immediately, and connect participants to local support services. This process proved essential to conducting an ethical survey. The high specificity and negative predictive value make it an effective triage tool that is particularly valuable in Aboriginal communities and with higher-risk populations.KEY WORDS: Mental health; early medical intervention; child; adolescent; Indigenous population; surveys and questionnaires La traduction du résumé se trouve à la fin de l'article.

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confidence: 99%

A screening mechanism to recognize and support at-risk Aboriginal children

Young

Jacko²,

Wabano³

et al. 2016

Can J Public Health

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“…Further, the measure is grounded in Indigenous epistemology, and focuses on feelings and perceptions of health rather than health behaviours. 83 …”

Section: Resultsmentioning

confidence: 99%

Health-related quality of life measures used with Indigenous children/youth in the Pacific Rim: a scoping review

et al. 2023

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ObjectiveTo identify and describe (1) which health-related quality of life (HRQoL) measures have been used with Indigenous children/youth (aged 8–17 years) within the Pacific Rim; and (2) studies that refer to Indigenous health concepts in the use of child/youth HRQoL measures.DesignA scoping review.Data sourcesOvid (Medline), PubMed, Scopus, Web of Science and CINAHL were searched up until 25 June 2020.Eligibility criteriaEligible papers were identified by two independent reviewers. Eligible papers were written in English, published between January 1990 and June 2020 and included an HRQoL measure used in research with Indigenous child/youth populations (aged between 8 and 17 years) in the Pacific Rim region.Data extraction and synthesisData extracted included study characteristics (year, country, Indigenous population, Indigenous sample size, age group), HRQoL measure characteristics (generic or condition-specific measure, child or adult measure, who completed the measure(s), dimensions, items and response scale of measure) and consideration of Indigenous concepts (created for Indigenous population, modified for Indigenous population, validated for Indigenous population, reliability in Indigenous populations, Indigenous involvement, reference to Indigenous theories/models/frameworks).ResultsAfter removing duplicates, 1393 paper titles and abstracts were screened, and 543 had full-text review for eligibility. Of these, 40 full-text papers were eligible, reporting on 32 unique studies. Twenty-nine HRQoL measures were used across eight countries. Thirty-three papers did not acknowledge Indigenous concepts of health, and only two measures were specifically created for use with Indigenous populations.ConclusionsThere is a paucity of research investigating HRQoL measures used with Indigenous children/youth and a lack of involvement of Indigenous peoples in the development and use of HRQoL measures. We strongly recommend explicit consideration of Indigenous concepts when developing, validating, assessing and using HRQoL measures with Indigenous populations.

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“…17 This measure has been thoroughly tested with First Nations children in Wiikwemkoong, as well as with Métis and Inuit children in urban contexts. 15 The results have demonstrated the validity of the self-reported ACHWM for children 8 to 18 years of age in comparison with the Pediatric Quality of Life Inventory (PedsQL; r = 0.52) 18 and its reliability (test-retest intraclass correlation coefficient = 0.94). 19 The aim of this paper is to establish typical ACHWM health profiles for First Nations children living on-reserve, to assist in the interpretation of ACHWM scores.…”

Section: Researchmentioning

confidence: 90%

Health profiles of First Nations children living on-reserve in Northern Ontario: a pooled analysis of survey data

Wabano¹,

McGregor²,

Beaudin³

et al. 2019

cmajo

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vidence-based health care is considered a gold standard for clinical practice, policy and planning, 1,2 but it is not yet an option for many Aboriginal communities in Canada. (Note that the term Aboriginal is used in this paper, rather than Indigenous, on the basis of guidance from the community-based Aboriginal Children's Health and Well-being Measure Advisory Committee. Aboriginal peoples include First Nations, Inuit and Métis.) First Nations health directors require local health data that extend beyond the biomedical. From their perspectives, the most meaningful data reflect First Nations models of health and are relevant to Aboriginal cultures and contexts. Decision-makers who are responsible for Aboriginal children's health are challenged when searching for relevant health statistics, because most available statistics are based on illness (e.g., rates of diabetes 3,4) rather than wellness. When health data are presented, the results are typically aggregated at the provincial or national level. 5 As a result, there is a critical absence of health data that are relevant at the local level. 6-8 While national and provincial data are helpful in identifying problems, this information is far less helpful in identifying solutions. Given that each Aboriginal population is distinct (culturally, politically and geographically), the assumption that decisions can be made on the basis of provincial or national estimates is inherently flawed. There have been several calls for solution-focused action to promote health among Aboriginal children in Canada. 9-12

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Validity of the Aboriginal Children’s Health and Well-being Measure: Aaniish Naa Gegii?

Cited by 15 publications

References 26 publications

A screening mechanism to recognize and support at-risk Aboriginal children

A screening mechanism to recognize and support at-risk Aboriginal children

Health-related quality of life measures used with Indigenous children/youth in the Pacific Rim: a scoping review

Health profiles of First Nations children living on-reserve in Northern Ontario: a pooled analysis of survey data

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