Evidence map›Paper›PMID 38659714›Full record

ArticleFrontiers in sociology2024

Funding employment inclusion for Ontario youth with disabilities: a theoretical cost-benefit model.

Laura R Bowman, Carolyn McDougall, René Doucet, Brendon Pooran, Ying Xu, Jeannette Campbell

Abstract read
In one paragraph

Article in Frontiers in sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Laura R BowmanHolland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Carolyn McDougallHolland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
René DoucetChronicle Analytics, Toronto, ON, Canada.
Brendon PooranChronicle Analytics, Toronto, ON, Canada.
Ying XuHolland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Jeannette CampbellOntario Disability Employment Network, Whitby, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early engagement in employment-related activities is associated with greater lifetime labor force attachment, which correlates with positive health, social, and quality of life outcomes. People with disabilities often require vocational intervention to enter and remain in the workforce and reap the employment-related health and social benefits. Their labor force attachment brings about the added societal-level benefits of increased tax contributions and reduced social assistance funding. Reason and evidence both support the need for early intervention to facilitate young people with disabilities' workforce entry. Based on available evidence and best practices, and in conjunction with expert input, a cost-benefit model was constructed to provide support for public investment in early employment intervention by demonstrating the societal-level benefits that could be projected. Results indicate the potential benefits for investment in early, targeted employment intervention at a societal level. Two personas were crafted to demonstrate the lifetime societal-level impact of investment in intervention for an individual with disabilities. The results provide relevant arguments for advocates, policy makers, program directors, and people entering adulthood with disabilities to understand the benefits of investing in interventions with the goal of long-term public savings.

Indexed as

cost-benefit modelingearly interventionemployment participationsocietal-level benefityouth with disabilities

Identifiers

PMID38659714
PMCPMC11041630

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.