Can social firms contribute to alleviating the economic burden of psychiatric disabilities for the public healthcare system?. (31st May 2019)

• Record Type: Journal Article
• Authors: Sultan‐Taïeb, Hélène; Villotti, Patrizia; Berbiche, Djamal; Dewa, Carolyn S.; Desjardins, Émilie; Fraccaroli, Franco; Zaniboni, Sara; Mazaniello-Chézol, Maud; Lecomte, Tania; Durand, Marie‐José; Corbière, Marc
• Is Part Of: Health & social care in the community. Volume 27:Number 5(2019)
• Page Start: 1311
• Page End: 1320
• Publication Date: 2019-05-31
• Subjects: economic evaluation -- healthcare costs -- psychiatric disabilities -- public healthcare system -- severe mental illness -- social firms; Public welfare -- Periodicals; Community health services -- Periodicals; Human services -- Periodicals; 362.1
• DOI: 10.1111/hsc.12775
• Languages: English
• ISSNs: 0966-0410

Abstract

Abstract: In a number of countries, unemployment rates for people with psychiatric disabilities are much higher than in the general population. On the one hand, the expenses for mental health reach 3.5% of the total public health and social services budget in Québec. On the other hand, social firms (SFs) receive government subsidies. The objective was to compare public healthcare expenses for people with psychiatric disabilities who work in SFs with those associated with people with a similar condition who are looking for a job in the competitive labour market. This study followed a retrospective comparative design and considered two groups, namely: 122 employees working in SFs and 64 individuals participating in a supported employment program as job‐seekers. Two complementary datasets were used: a self‐report questionnaire and public healthcare databases. The cost analysis was performed from the perspective of the public healthcare system and included outpatient visit fees to physicians, outpatient visits to health professionals other than physicians in public healthcare centres, inpatient expenses due to hospitalisations, emergency room visits and amounts reimbursed to patients for medication. Regression analyses using generalised linear models with a gamma distribution and log link were used. Our results revealed that when controlling for sociodemographic variables (gender, age, marital status, education, physical disability), global health (EuroQol EQ‐5D‐5L), the severity of psychiatric symptoms (18‐item Brief Symptom Inventory) and self‐declared primary mental health diagnosis, annual healthcare costs paid by the public insurance system were between $1, 924 and $3, 912 lower for people working in SFs than for the comparison group. An explanatory hypothesis is that working in SFs could act as a substitute for medical treatments such as outpatient visits and medication use. There might be a form of compensation between supporting SFs and financing the public healthcare system, which provides valuable insights for public decision‐making.