ArticleAnnals of medicine2022
Analysis of hospital costs by morbidity group for patients with severe mental illness.
Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Epidemiology of Severe Mental Disorders in Older Adults: A Population-Based Longitudinal Study in Aragón, Spain.Healthcare (Basel, Switzerland) · 2026Article
- Quality of mental health care among insured patients in an Indonesian psychiatric hospital.BMC health services research · 2026Article
- Direct medical costs of fall-related injuries in elderly patients presenting to a tertiary hospital: A descriptive study.Pakistan journal of medical sciences · 2026Article
- Analysis of medical costs and two-model prediction for patients with severe mental disorders in Gansu Province, China.Frontiers in public health · 2026Article
- Economic implications of mental health disorders: a literature review of hospitalization costs, interventions, and outcomes.Journal of medicine and life · 2026Review
- Impact of somatic comorbidities on healthcare costs in patients with severe mental disorders: a cross-sectional study in Beijing.BMC psychiatry · 2025Article
- New Episodes and Suicidal Risks in Bipolar and Major Depressive Disorder Patients During Versus Before Long-Term Treatment With Lithium.Acta psychiatrica Scandinavica · 2025Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe goal of this study is to analyse hospital costs and length of stay of patients admitted to psychiatric units in hospitals in a European region of the Mediterranean Arc. The aim is to identify the effects of comorbidities and other variables in order to create an explanatory cost model.
methodsIn order to carry out the study, the Ministry of Health was asked to provide data on access to the mental health facilities of all hospitals in the region. Among other questions, this database identifies the most important diagnostic variables related to admission, like comorbidities, age and gender. The method used, based on the Manning-Mullahy algorithm, was linear regression. The results were measured by the statistical significance of the independent variables to determine which of them were valid to explain the cost of hospitalization.
resultsPsychiatric inpatients can be divided into three main groups (psychotic, organic and neurotic), which have statistically significant differences in costs. The independent variables that were statistically significant (
conclusionsUnlike most health services, access to psychiatric facilities does not correlate with comorbidities due to the specific nature of this specialization. Patients admitted to psychosis had higher costs and a higher number of average staysKEY MESSAGESThe highest average hospital expenditure occurred in patients admitted for psychotic disorders.Due to the particularities of psychiatry units and unlike other medical specialties, the number of comorbidities did not influence the number of hospital stays or hospital expenditure.Apart from the main diagnostic group, the variables that were useful to explain hospital expenditure were the presence of poisoning and injuries as comorbidity, diseases of circulatory system as comorbidity, history of substance abuse and readmission.
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