Evidence map›Paper›PMID 26937191›Full record

ReviewNeuropsychiatric disease and treatment2016

Global economic burden of schizophrenia: a systematic review.

Huey Yi Chong, Siew Li Teoh, David Bin-Chia Wu, Surachai Kotirum, Chiun-Fang Chiou, Nathorn Chaiyakunapruk

2 registry-linked trialsOpen access · goldAbstract readReview
In one paragraph

Review in Neuropsychiatric disease and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 311 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
311citing papers in PubMed, 11 pooled it
38.1field-weighted citation impact, top 1% of its field
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.

NCT04038840 phase1recruitingnot on this mapstarted 2019, after this paper: background citation

Imaging Synapses With [11C] UCB-J in the Human Brain

TypeinterventionalSponsorDavidzon, Guido, M.D.Ran2019 to 2025Enrolled60ConditionsSchizophreniaArms[11C]UCB-J radiotracer, PET-MR
NCT07713849 recruitingnot on this mapstarted 2026, after this paper: background citation

Adapting and Improving Transition Care for First Episode Psychosis

Typeobservational_patient_registrySponsorUniversity of ChicagoRan2026 to 2029Enrolled75ConditionsSchizoaffective Disorders, Bipolar Disorder With Psychotic Features, Schizophrenia Disorders, Major Depressive Disorder With Psychotic FeaturesArmsTransition Care Team
3 · Its place in the literature

Who cites it

311 citing papers in PubMed, 11 syntheses or guidelines pooled it, 635 citations in OpenAlex.

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  19. The global cost of schizophrenia: a health economic modelling study.International journal of mental health systems · 2026
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251 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 4 countries.

Huey Yi ChongSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia.
Siew Li TeohSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia.
David Bin-Chia WuSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia.
Surachai KotirumSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia.
Chiun-Fang ChiouJanssen Pharmaceutical Companies Asia Pacific, Singapore.
Nathorn ChaiyakunaprukSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia; Center of Pharmaceutical Outcomes Research (CPOR), Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand; School of Pharmacy, University of Wisconsin, Madison, WI, USA; School of Population Health, University of Queensland, Brisbane, Australia.
Monash University Malaysia · MYJohnson & Johnson (Singapore) · SGNaresuan University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchizophrenia is one of the top 25 leading causes of disability worldwide in 2013. Despite its low prevalence, its health, social, and economic burden has been tremendous, not only for patients but also for families, caregivers, and the wider society. The magnitude of disease burden investigated in an economic burden study is an important source to policymakers in decision making. This study aims to systematically identify studies focusing on the economic burden of schizophrenia, describe the methods and data sources used, and summarize the findings of economic burden of schizophrenia.

methodsA systematic review was performed for economic burden studies in schizophrenia using four electronic databases (Medline, EMBASE, PsycINFO, and EconLit) from inception to August 31, 2014.

resultsA total of 56 articles were included in this review. More than 80% of the studies were conducted in high-income countries. Most studies had undertaken a retrospective- and prevalence-based study design. The bottom-up approach was commonly employed to determine cost, while human capital method was used for indirect cost estimation. Database and literature were the most commonly used data sources in cost estimation in high-income countries, while chart review and interview were the main data sources in low and middle-income countries. Annual costs for the schizophrenia population in the country ranged from US$94 million to US$102 billion. Indirect costs contributed to 50%-85% of the total costs associated with schizophrenia. The economic burden of schizophrenia was estimated to range from 0.02% to 1.65% of the gross domestic product.

conclusionThe enormous economic burden in schizophrenia is suggestive of the inadequate provision of health care services to these patients. An informed decision is achievable with the increasing recognition among public and policymakers that schizophrenia is burdensome. This results in better resource allocation and the development of policy-oriented research for this highly disabling yet under-recognized mental health disease.

Indexed as

cost of illnesseconomic burdenschizophreniasystematic review

Identifiers

PMID26937191
PMCPMC4762470
OpenAlexW2285263567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.