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

Abstract

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.

Résumé

OBJECTIFS: On a élaboré l’outil de sondage Aboriginal Children’s Health and Well-Being Measure (ACHWM) pour évaluer la santé selon la perspective des enfants autochtones. Le but de notre article est de décrire le processus de dépistage intégré dans l’ACHWM et d’en évaluer l’efficacité.

MÉTHODE: L’ACHWM a été administré en 2014–2015 à des enfants et des jeunes de 8 à 18 ans vivant sur le territoire non cédé des Wiikwemkoong. À l’aide d’un algorithme automatisé exécuté sur des tablettes électroniques, les réponses au sondage ont été criblées pour repérer les personnes potentiellement à risque. Des intervenants locaux en santé mentale ont mené de brefs examens de santé mentale pour repérer et soutenir les enfants et les jeunes à risque. Les données ont été analysées pour estimer l’efficacité de ce processus de dépistage.

RÉSULTATS: En tout, 293 enfants et jeunes ont répondu au questionnaire ACHWM. L’outil de dépistage en a identifié 35% comme présentant un risque potentiel. Les intervenants en santé mentale ont confirmé que 18% des participants étaient à risque et les ont aiguillés vers des services de soutien. La sensibilité de l’outil était de 75%, et sa spécificité, de 79%. Des améliorations à l’algorithme de dépistage ont donné lieu à une spécificité de 97% et à une valeur prédictive négative de 95% sans perte de sensibilité.

CONCLUSION: Pour être responsables, les enquêtes sur la santé de la population ont besoin d’un processus d’intervention pour les réponses qui soulèvent des inquiétudes. Notre article présente l’exemple d’un processus de dépistage et de triage qui a permis à notre équipe de sondage de cribler les réponses en temps réel, d’intervenir immédiatement en cas de risque potentiel et de mettre les participants en rapport avec des services de soutien locaux. Ce processus s’est avéré essentiel à la conduite d’un sondage éthique. La haute spécificité et la valeur prédictive négative du sondage en font un outil de triage efficace particulièrement précieux dans les communautés autochtones et auprès des populations à haut risque.

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References

  1. Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada. Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans. Ottawa, ON, 2010. Available at: http://www.ger.ethique.gc.ca/pdf/eng/tcps2/TCPS_2_FINAL_Web.pdf (Accessed July 8, 2015).

    Google Scholar 

  2. First Nations Information Governance Centre. First Nations Regional Longitudinal Health Survey (RHS) 2008/10. Ottawa, ON: National Report on Youth Living in First Nations Communities, 2012. Available at: http://fnigc.ca/sites/default/files/docs/first_nations_regional_health_survey_rhs_2008-10_-_national_report_youth.pdf (Accessed May 24, 2015).

    Google Scholar 

  3. Public Health Agency of Canada. The Chief Public Health Officer’s Report on the State of Public Health in Canada. Ottawa, ON, 2011. Available at: http://www.phac-aspc.gc.ca/cphorsphc-respcacsp/2011/cphorsphc-respcacsp-06-eng.php (Accessed May 30, 2015).

    Google Scholar 

  4. Canadian UNICEF Committee. Canadian Supplement to the State of the World’s Children. Aboriginal Children’s Health: Leaving no Child Behind. Toronto, ON, 2009. Available at: http://www.nccah.ca/docs/child%20and%20youth/Report%20Summary%20Leaving%20no%20child%20behind.Pdf (Accessed May 12, 2010).

    Google Scholar 

  5. National Collaborating Centre for Aboriginal Health. State of Knowledge of Aboriginal Health: A Review of Aboriginal Public Health in Canada. Prince George, BC: National Collaborating Centre for Aboriginal Health, 2012; 128 p. Available at: http://www.nccah-ccnsa.ca/Publications/Lists/Publications/Attachments/52/The%20State%20of%20Knowledge%20of%20Aboringal%20Health%20(EN).Pdf (Accessed May 24, 2015).

    Google Scholar 

  6. Macmillan HL, Jamieson E, Walsh C, Boyle M, Crawford A, Macmillan A. The health of Canada’s Aboriginal children: Results from the First Nations and Inuit Regional Health Survey. Int J Circumpolar Health 2010;69(2):158–67. PMID: 20356467. doi: 10.3402/ijch.v69i2.17439.

    Article  Google Scholar 

  7. Canadian Institute for Child Health (CICH). The Health of Canada’s Children, 3rd ed. Ottawa, ON: Canadian Institute for Child Health, 2000.

    Google Scholar 

  8. Kirmayer LJ. Suicide Among Aboriginal People in Canada. Aboriginal Healing Foundation, 2007.

    Google Scholar 

  9. Streiner DL, Norman GR. Health Measurement Scales. A Practical Guide to Their Development and Use. New York, NY: Oxford University Press, 2008.

    Book  Google Scholar 

  10. Bowling A, Ebrahim S. Handbook of Health Research Methods. Investigation, Measurement and Analysis, 3rd ed. Berkshire, England: McGraw Hill Open University Press, 2009; 525 p.

    Google Scholar 

  11. Last JM, Abramson JH, Freidman GD. A Dictionary of Epidemiology, vol. 141. Oxford University Press, 2001.

  12. Young NL, Wabano MJ, Burke TA, Ritchie SD, Mishibinijima D, Corbiere RG. A process for creating the Aboriginal Children’s Health and Well-being Measure (ACHWM). Can J Public Health 2013;104(2):E136–41. PMID: 23618206.

    Article  Google Scholar 

  13. Young NL, Wabano MJ, Usuba K, Pangowish B, Trottier M, Jacko D, et al. Validity of the Aboriginal Children’s Health and Well-being Measure: Aaniish naa gegii? Health Qual Life Outcomes 2015;13:148. PMID: 26381126. doi: 10.1186/S12955-015-0351-0.

    Article  Google Scholar 

  14. Young NL, Wabano MJ, Ritchie SD, Burke TA, Pangowish B, Corbiere RG. Assessing children’s interpretations of the Aboriginal Children’s Health and Weil-Being Measure (ACHWM). Health Qual Life Outcomes 2015;13:105. PMID: 26197841. doi: 10.1186/s12955-015-0296-3.

    Article  Google Scholar 

  15. Young NL, Wabano MJ, Usuba K, Mishibinijima D, Burke TA. Reliability of the Aboriginal Children’s Health and Well-being Measure (ACHWM). Conference Abstract Presented at the International Society of Quality of Life Research, Vancouver, BC, 2015. Qual Life Res 2015;24(1 Suppl):158–59.

    Google Scholar 

  16. Baker-Anderson K, Young NL, Wabano MJ, Brown L, Henderson C, Quinn R, et al. Inuit version of the Aboriginal Children’s Hhealth and Well-being Measure: Qanuippit? International Society for Quality of Life Research 22nd Annual Conference, Vancouver, BC, 2015. Qual Life Res 2015;24(1 Suppl):59.

    Google Scholar 

  17. Mcgregor L, Wabano MJ, Beaudin R, Blight S, Young NL. A novel approach to building community-university relationships: Enabling children to lead the way (Conference Presentation). 6th International Meeting on Indigenous Child Health, Ottawa, ON, 2015.

    Google Scholar 

  18. Paquette T, Boulard J, Roy-Charland A, Young NL. Cross-cultural adaptation of a health measure for Métis children and youth. Conference Abstract Presented at the International Society for Quality of Life Research 21st Annual Conference, Berlin, Germany, 2014. Qual Life Res 2014;23(1 Suppl):53.

    Google Scholar 

  19. Viljoen JL, Beneteau JL, Gulbransen E, Brodersen E, Desmarais SL, Nicholls TL, et al. Assessment of multiple risk outcomes, strengths, and change with the START:AV: A short-term prospective study with adolescent offenders. Int J forensic Ment Health 2012;11(3):165–80. PMID: 23436983. doi: 10.1080/14999013.2012.737407.

    Article  Google Scholar 

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Correspondence to Nancy L. Young PhD.

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Young, N.L., Jacko, D., Wabano, M.J. et al. A screening mechanism to recognize and support at-risk Aboriginal children. Can J Public Health 107, e399–e403 (2016). https://doi.org/10.17269/CJPH.107.5539

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Key words

  • Mental health
  • early medical intervention
  • child
  • adolescent
  • Indigenous population
  • surveys and questionnaires

Mots clés

  • santé mentale
  • intervention médicale précoce
  • enfant
  • adolescent
  • population d’origine amérindienne
  • enquêtes de santé