The Imaginary Healthy Patient

Amady Seydou Ba, Ewen Gallic (), Pierre Michel () and Alain Paraponaris ()
Additional contact information
Amady Seydou Ba: Meritis, https://meritis.fr/
Ewen Gallic: Aix Marseille Univ, CNRS, AMSE, Marseille, France, https://www.amse-aixmarseille.fr/en/members/gallic
Pierre Michel: Aix Marseille Univ, CNRS, AMSE, Marseille, France, https://www.amse-aixmarseille.fr/en/members/michel
Alain Paraponaris: Aix Marseille Univ, CNRS, AMSE, Marseille, France, https://www.amse-aixmarseille.fr/en/members/paraponaris

No 2435, AMSE Working Papers from Aix-Marseille School of Economics, France

Abstract: Anxiety and depression may have serious disabling consequences for health, social, and occupational outcomes for people who are unaware of their actual health status and/or whose mental health symptoms remain undiagnosed by physicians. This article provides a big picture of unrecognised anxiety and depressive troubles revealed by a low score on the Mental Health Inventory-5 (MHI-5) with the help of machine learning methods using the 2012 French National Representative Health and Social Protection Survey (Enquête Santé et Protection Sociale, ESPS) matched with yearly healthcare consumption data from the French Sickness Fund. Compared to people with no latent symptoms who did not declare any depression over the last 12 months, those with unrecognised anxiety or depression were found to be older, more deprived, more socially disengaged, at a higher probability of adverse working conditions, and with higher healthcare expenditures backed, to some extent, by chronic conditions other than anxiety or mood disorder.

Keywords: unrecognised mental disorders; mental health inventory-5 (MHI-5); healthcare consumption; workplace outcomes; tree-based methods; SHAP values (search for similar items in EconPapers)
JEL-codes: C38 C5 I12 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2024-12
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Persistent link: https://EconPapers.repec.org/RePEc:aim:wpaimx:2435

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