Utility of functioning in predicting costs of care for patients with mood and anxiety disorders: a prospective cohort study.

Journal: International clinical psychopharmacology

Volume: 32

Issue: 4

Year of Publication: 2018

Affiliated Institutions:  aSchool of Psychology, Faculty of Social and Human Sciences bClinical and Experimental Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK cResearch Unit for Biopsychosocial Health, Department of Medical Informatics, Biometry and Epidemiology - IBE, Ludwig-Maximilians-University (LMU), Munich, Germany dSwiss Paraplegic Research (SPF), Nottwil, Switzerland eUniversity Department of Psychiatry and Mental Health, University of Cape Town, South Africa.

Abstract summary 

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.

Authors & Co-authors:  Twomey Conal C Cieza Alarcos A Baldwin David S DS

Study Outcome 

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Statistics
Citations :  Appleby J, Harrison T, Hawkins L, Dixon A. (2012). Payment by results – how can payment systems help deliver better care?. London, UK: The King’s Fund.
Authors :  3
Identifiers
Doi : 10.1097/YIC.0000000000000178
SSN : 1473-5857
Study Population
Male,Female
Mesh Terms
Adult
Other Terms
Study Design
Cohort Study,Cross Sectional Study
Study Approach
Country of Study
Publication Country
England