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Record W6887679776 · doi:10.17605/osf.io/jtgaw

Assessing Public Demand for Mental Health Insurance: The Role of Self-Interest and Ideology

2025· other· en· W6887679776 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthPublic healthIdeologyMental health lawStigma (botany)PoliticsHealth policyMiddle Eastern Mental Health Issues & Syndromes

Abstract

fetched live from OpenAlex

Despite the spike in mental health disorders since the disruptions caused by the COVID-19 pandemic, most OECD countries are still lacking a comprehensive public coverage of mental health care. This situation is puzzling considering that a public insurance is not particularly fiscally costly. Indeed, cost-benefit analyses have shown that a public insurance would increase access to treatments, which would, in turn, generate economic gains by improving the productivity of the population. In this article, we study if a lack of public demand represents one of the reasons why we are not seeing a proliferation of public mental health insurance programs. Mental health researchers have spent very little time thinking about political economy, while political economists do not study mental health policies. Most mental health researchers assume that stigma (culture) is the cause of weak mental health provision. The few studies on the issue have shown that stigma against mental health disorders is associated with weaker support for public spending on mental health care. Yet mental health problem occurrence and stigma don’t vary so much and can’t explain cross country variation. Hence, mental health specialist cannot explain why supply varies between countries. Contributions: • We are applying a political science framework to study mental health policy preferences. • Most previous studies do not analyze the interplay of self-interest and ideology to explain individuals’ willingness to pay for the expansion of public coverage for mental health care. We highlight the role of ideological factors in explaining preference for public mental health care and by mapping the coalitions for and against the extension of public insurance. • There is also a lack of research assessing the influence of individuals' personal experience with mental health, whether they use treatments themselves, or whether they themselves are covered by private insurance and support for greater public insurance coverage. Moreover, there is a paucity of public opinion studies on the issue in Canada. • The Canadian context is pertinent because the public coverage health care is traditionally limited to care provided by doctors and hospitals and doesn’t include several non-medical health services, such as psychotherapy. In this article, we rely on an original survey conducted by the firm Léger with a representative sample of the Quebec population (N=1000), a province in which one major party proposed a public insurance for psychological services at the last provincial election in 2022.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1160.116

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.308
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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