Evidence map›Paper›PMID 38517515›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Productivity costs of schizophrenia spectrum and other psychotic disorders by friction cost and human capital methods: The Northern Finland Birth Cohort 1966.

Tuomas Majuri, Iiro Nerg, Sanna Huikari, Ina Rissanen, Erika Jääskeläinen, Jouko Miettunen, Marko Korhonen

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Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Tuomas MajuriResearch Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland. tuomas.majuri@student.oulu.fi.ORCID http://orcid.org/0000-0001-8838-7585
Iiro NergDepartment of Economics, Accounting and Finance, University of Oulu, Oulu, Finland.
Sanna HuikariDepartment of Economics, Accounting and Finance, University of Oulu, Oulu, Finland.
Ina RissanenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland.
Erika JääskeläinenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland.
Jouko MiettunenResearch Unit of Population Health, Faculty of Medicine, University of Oulu, P.O.BOX 5000, Oulu, Finland.
Marko KorhonenDepartment of Economics, Accounting and Finance, University of Oulu, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePsychotic disorders are associated with substantial productivity costs; however no previous studies have compared these between schizophrenia spectrum (SSD) and other psychotic disorders (OP). The human capital method (HCM) and the friction cost method (FCM) are the two most common approaches to assess productivity costs. The HCM focuses on employees' perspectives on the costs, whereas the FCM demonstrates employers' perspectives. Studies comparing these methods when estimating the productivity costs of psychoses are lacking.

methodsUtilizing the Northern Finland Birth Cohort 1966 with linkages to national registers, we compared the adjusted productivity costs of SSD (n = 216) and OP (n = 217). The productivity costs were estimated from ages 18 to 53 including projections to statutory retirement age using the FCM and HCM.

resultsWhen estimated via the HCM, productivity losses were higher for SSD (€193,940) than for OP (€163,080). However, when assessed using the FCM, costs were significantly lower for SSD (€2,720) than for OP (€4,430). Productivity costs varied by sex and various clinical and occupational factors.

conclusionThis study highlights how productivity costs vary by psychosis diagnosis. These differences should be noted when planning interventions. The low FCM estimates indicate the need of interventions before or during the early phases of psychoses. From a societal perspective, interventions are needed, particularly for those with highest HCM productivity losses, such as males with SSD. Besides psychiatric services, the roles of social services, employment agencies and occupational health care should be considered when helping individuals with psychoses to working life.

Indexed as

Cost of IllnessEfficiencyPsychotic DisordersSchizophreniaAdolescentAdultCohort StudiesEmploymentFemaleFinlandHumansMaleMiddle AgedRegistriesRetirementYoung AdultCohort studyFollow-upIndirect costsProductivity costPsychosisSchizophrenia

Identifiers

PMID38517515
PMCPMC11464614

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