Evidence map›Paper›PMID 42823740›Full record

ArticleInternational journal of mental health systems2026

The global cost of schizophrenia: a health economic modelling study.

Luisa S Welter, Mateo Montes-Martínez, Lara Bohr, Marjan Arvandi, Nikolai Mühlberger, Paul Boon, Günther Deuschl, Claudio L A Bassetti, Thomas Berger, Thomas G Schulze and 7 more

Abstract read
In one paragraph

Article in International journal of mental health systems, 2026. 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

17 authors.

Luisa S WelterDepartment of Geriatric Medicine, University Duisburg-Essen, Essen, Germany. luisa.welter@uk-essen.de.ORCID http://orcid.org/0009-0003-1865-0124
Mateo Montes-MartínezDepartment of Geriatric Medicine, University Duisburg-Essen, Essen, Germany.
Lara BohrDepartment of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Marjan ArvandiDepartment of Public Health, Institute of Public Health, Medical Decision Making and Health Technology Assessment, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria.
Nikolai MühlbergerDepartment of Public Health, Institute of Public Health, Medical Decision Making and Health Technology Assessment, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria.
Paul BoonDepartment of Neurology, 4Brain Ghent University Hospital & Ghent University, Ghent, Belgium.
Günther DeuschlDepartment of Neurology, Universitäts-Klinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University, Kiel, Germany.
Claudio L A BassettiNeurology Department, Inselspital, University Hospital, University of Bern, Bern, Switzerland.
Thomas BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.
Thomas G SchulzeInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
David H V VogelDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.
Alexandra PhilipsenDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.
Miriam P L JohnDepartment of Psychiatry, Ludwig-Maximilians-University Munich, Munich, Germany.
Uwe SiebertDepartment of Public Health, Institute of Public Health, Medical Decision Making and Health Technology Assessment, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria.
Richard DodelDepartment of Geriatric Medicine, University Duisburg-Essen, Essen, Germany.
Frank JessenDepartment of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Peter FalkaiDepartment of Psychiatry, Ludwig-Maximilians-University Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchizophrenia is a chronic psychiatric disorder that leads to substantial disability, impaired quality of life, and reduced life expectancy. In addition to its profound impact on affected individuals, the disorder places a considerable financial burden on health care systems, caregivers, and society. Although the cost of schizophrenia has been studied in several individual countries, comprehensive global estimates across multiple cost categories remain scarce. This study aimed to estimate the global socioeconomic burden of schizophrenia using health economic modelling.

methodsWe conducted a prevalence-based cost-of-illness analysis for 204 countries in 2019, focusing on adults aged 20 years and older. Data on direct (medical and nonmedical), indirect (productivity losses), and informal (nonprofessional, unpaid) care costs were systematically retrieved through a PubMed-based literature search covering records published between 02/2010 and 04/2023. Extracted per-patient costs were standardized to 2019 purchasing power parity (PPP) USD, and missing data were imputed using a stratification approach based on four gross national income (GNI) groups. Costs were scaled to the national level by multiplying the per-patient costs by country-specific prevalence estimates from the Global Burden of Disease Study. Costs were additionally expressed as a proportion of gross domestic product (GDP). To ensure data validity from a clinical perspective, all estimates were scrutinized by a panel of psychiatry experts.

resultsAn estimated 22.1 million adults were living with schizophrenia in 2019 (0.39% prevalence). Total economic costs across upper-middle, lower-middle, and high-income regions reached $243.2 billion (PPP), with direct costs representing 47%, indirect costs 29%, and informal care costs 24%. Upper-middle-income countries bore the greatest burden relative to GDP, whereas high-income countries had the highest per-patient and national costs.

conclusionsThis study provides the most comprehensive global assessment to date of the economic burden of schizophrenia. Per-patient costs were identified as the main driver of the absolute global burden, underscoring the importance of effective disease management strategies. Policy-makers and other stakeholders should prioritize interventions that enhance patient functioning and societal participation.

Indexed as

Cost of illnessDisease burdenPsychiatryPsychotic disordersSchizophrenia

Identifiers

PMID42823740
PMCPMC13628819

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.