Early intervention for first-episode psychosis: broadening the scope of economic estimates
Open accessAbstract
Aim: To explore the economic impacts of early intervention in England on outcomes and costs for people with first‐episode psychosis. Methods: Three decision analytical models were constructed to compare treatment by early intervention for first‐episode psychosis with standard care in relation to employment, education, homicide and suicide. Data on effectiveness and costs were taken from previous studies and expert opinion. Sensitivity analyses tested the robustness of assumptions. Results: Our models indicate that early intervention demonstrates savings of £2087 per person over 3 years from improved employment and education outcomes. In addition, the annual costs over 10 years related to homicide after early intervention were £80 lower than for standard care. There were also annual savings of £957 per person for early intervention over 4 years compared to standard care as a result of suicides averted. Conclusions: Not only can investment in early intervention help reduce some of the long‐term costs and consequences of mental disorders to the health‐care system. In addition, there are broader economic benefits that strengthen the potential cost savings to society.
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In the UK, models and individual patient data analyses have reported cost savings and increased benefits (such as improvements on clinical outcome scales) associated with early intervention in psychosis services.
“In the UK, models and individual patient data analyses have reported cost savings and increased benefits (such as improvements on clinical outcome scales) associated with early intervention in psychosis services.”
From The Lancet Psychiatry Commission on youth mental health (2024) · cites this paper as [423]
The Methods and Results (pages unavailable) describe English decision-analytical models estimating cost savings and improved employment and education outcomes from early intervention. The paper does not report a UK individual-patient-data analysis showing improvements on clinical outcome scales; the Discussion’s examples of scale improvements concern studies outside the UK. (LLM, conf=0.86)
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- Authors
- Park, A., McCrone, P., & Knapp, M.
- Affiliations
- London School of Economics and Political Science (GB)
- King's College London (GB)
- Corresponding author
- Park, A‐La
- Venue
- Early Intervention in Psychiatry
- Publisher
- Wiley
- Published
- 2014-04-17
- Volume
- 10
- Issue
- 2
- Pages
- 144-151
- ISSN
- 1751-7885 (ISSN-L)
- 1751-7893
- OpenAlex
- W1917279812
- Cited by
- 57
- References
- 26
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 6 · 2020: 4 · 2019: 5 · 2018: 7 · 2017: 9 · 2016: 3 · 2015: 6 · 2014: 3
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Early Intervention in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Department of Health (ADD FUNDER)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- early intervention in psychosis, first-episode psychosis, economic evaluation, cost reduction, employment effects, educational outcomes, homicide, suicide prevention, decision-analytic model, mental health services
- MeSH terms
- Cost-Benefit Analysis, Educational Status, Employment, England, Homicide, Humans, Mental Health Services, Psychotic Disorders, Suicide, Health Care Costs, Models, Economic, Early Medical Intervention
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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