ArticleInternational clinical psychopharmacology2017
Utility of functioning in predicting costs of care for patients with mood and anxiety disorders: a prospective cohort study.
Article in International clinical psychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Perinatal anxiety disorders screening study: a study protocol.BMC psychiatry · 2024Article
- Costs of psychotropics for outpatients with bipolar disorder in Japan; the MUSUBI 2016 survey.Annals of medicine · 2023Article
- Characteristics of Occupational Therapy Interventions for Community-Dwelling Adults With Anxiety: Protocol for a Scoping Review.JMIR research protocols · 2023Article
- Predicting Future Service Use in Dutch Mental Healthcare: A Machine Learning Approach.Administration and policy in mental health · 2022Article
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Authors and funding
3 authors.
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Abstract
Development of payment systems for mental health services has been hindered by limited evidence for the utility of diagnosis or symptoms in predicting costs of care. We investigated the utility of functioning information in predicting costs for patients with mood and anxiety disorders. This was a prospective cohort study involving 102 adult patients attending a tertiary referral specialist clinic for mood and anxiety disorders. The main outcome was total costs, calculated by applying unit costs to healthcare use data. After adjusting for covariates, a significant total costs association was yielded for functioning (e=1.02; 95% confidence interval: 1.01-1.03), but not depressive symptom severity or anxiety symptom severity. When we accounted for the correlations between the main independent variables by constructing an abridged functioning metric, a significant total costs association was again yielded for functioning (e=1.04; 95% confidence interval: 1.01-1.09), but not symptom severity. The utility of functioning in predicting costs for patients with mood and anxiety disorders was supported. Functioning information could be useful within mental health payment systems.
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