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. 2024 May 27;24(1):1402.
doi: 10.1186/s12889-024-18877-0.

Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada

Meaghen Quinlan-Davidson  1   2 , Mahalia Dixon  1 , Gina Chinnery  3 , Lisa D Hawke  1   4 , Srividya Iyer  5   6 , Katherine Moxness  7 , Matthew Prebeg  1   8 , Lehana Thabane  9   10   11 , J L Henderson  12   13
Affiliations

Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada

Meaghen Quinlan-Davidson et al. BMC Public Health. .

Abstract

Background: Prior research has showed the importance of providing integrated support services to prevent and reduce youth not in education, employment, or training (NEET) related challenges. There is limited evidence on NEET youth's perspectives and preferences for employment, education, and training services. The objective of this study was to identify employment, education and training service preferences of NEET youth. We acknowledge the deficit-based lens associated with the term NEET and use 'upcoming youth' to refer to this population group.

Methods: Canadian youth (14-29 years) who reported Upcoming status or at-risk of Upcoming status were recruited to the study. We used a discrete choice experiment (DCE) survey, which included ten attributes with three levels each indicating service characteristics. Sawtooth software was used to design and administer the DCE. Participants also provided demographic information and completed the Global Appraisal of Individual Needs-Short Screener. We analyzed the data using hierarchical Bayesian methods to determine service attribute importance and latent class analyses to identify groups of participants with similar service preferences.

Results: A total of n=503 youth participated in the study. 51% of participants were 24-29 years of age; 18.7% identified as having Upcoming status; 41.1% were from rural areas; and 36.0% of youth stated that they met basic needs with a little left. Participants strongly preferred services that promoted life skills, mentorship, basic income, and securing a work or educational placement. Three latent classes were identified and included: (i) job and educational services (38.9%), or services that include career counseling and securing a work or educational placement; (ii) mental health and wellness services (34.9%), or services that offer support for mental health and wellness in the workplace and free mental health and substance use services; and (iii) holistic skills building services (26.1%), or services that endorsed skills for school and job success, and life skills.

Conclusions: This study identified employment, education, and training service preferences among Upcoming youth. The findings indicate a need to create a service model that supports holistic skills building, mental health and wellness, and long-term school and job opportunities.

Keywords: Discrete choice experiment; Employment; Or training; Service preferences; Youth mental health and substance use; Youth not in education.

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Conflict of interest statement

The authors declare no competing interests.

References

    1. Unit SE. Bridging the gap: New opportunities for 16–18 year olds not in education, employment or training. London: HMSO; 1999.
    1. Dea B, Glozier N, Purcell R, McGorry PD, Scott J, Feilds K-L, et al. A cross-sectional exploration of the clinical characteristics of disengaged (NEET) young people in primary mental healthcare. BMJ Open. 2014;4(12): e006378. doi: 10.1136/bmjopen-2014-006378. - DOI - PMC - PubMed
    1. Carcillo S. NEET youth in the aftermath of the crisis: Challenges and policies. Paris:: OECD; 2015.
    1. England PH. Local action on health inequalities: Reducing the number of young people not in employment, education or training. London: UCL Institute of Health Equity; 2014.
    1. Dorsett R, Lucchino P. Explaining patterns in the school-to-work transition: an analysis using optimal matching. Adv Life Course Res. 2014;22:1–14. doi: 10.1016/j.alcr.2014.07.002. - DOI - PubMed

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