Some evidence suggests that personality disorders are associated with a high economic burden due to, for example, a high demand on psychiatric, health, and social care services. However, state-of-the-art cost studies for the broad range of personality disorder diagnoses are lacking. The present study examines the direct medical costs, as well as the indirect costs, of patients seeking mental health treatment with DSM-IV personality disorders. Method: The 1740 subjects included in this study were recruited from March 2003 to March 2006 from 6 different mental health care institutes in the Netherlands specializing in the psychotherapeutic treatment of personality disorders. The direct and indirect costs were assessed using the Trimbos and Institute for Medical Technology Assessment Questionnaire on Costs Associated with Psychiatric Illness. Personality disorders were diagnosed using the Structured Interview for DSM-IV Personality. Results: The mean total costs of the personality disorder group in the 12 months prior to treatment were €11,126 per patient. Two thirds (66.5%) of these costs consisted of direct medical costs, while the remaining costs were related to productivity losses. Borderline and obsessivecompulsive personality disorders were uniquely associated with increased mean total costs. Conclusions: Treatment-seeking patients with personality disorders pose a high economic burden on society, a burden substantially higher than that found in, for instance, depression or generalized anxiety disorder. These high societal costs present a strong argument in favor of prioritizing effective personality disorder treatments in reimbursement decisions.
A generic quality of life measure was used to investigate the burden of disease in a large sample of patients with personality disorders. The 1,708 subjects included in this study were recruited from six different mental health care institutes in the Netherlands. The burden of disease was measured using the EuroQol EQ-5D. Personality disorders were diagnosed using the Structured Interview for DSM-IV Personality (SIDP-IV). The mean EQ-5D index value was 0.56. Primarily the total number of personality disorder diagnoses rather than the specific type determined the quality of life. Notably borderline personality disorder was not associated with the highest burden. The findings indicate that patients with personality disorders experience a high burden of disease, comparable to that of severe somatic illnesses. The results call into question the primary focus in literature on borderline personality disorder. The current study yields a strong argument in favor of reimbursing (effective) treatments for this patient population.
EQ-5D and SF-6D can be used in the economic evaluation of interventions for common mental health problems with some confidence. In schizophrenia, a preference-based measure focused on the impact of mental health should be considered.
Mathematical simulation models are commonly used to inform health policy decisions. These health policy models represent the social and biological mechanisms that determine health and economic outcomes, combine multiple sources of evidence about how policy alternatives will impact those outcomes, and synthesize outcomes into summary measures salient for the policy decision. Calibrating these health policy models to fit empirical data can provide face validity and improve the quality of model predictions. Bayesian methods provide powerful tools for model calibration. These methods summarize information relevant to a particular policy decision into (i) prior distributions for model parameters, (ii) structural assumptions of the model, and (iii) a likelihood function created from the calibration data, combining these different sources of evidence via Bayes’ theorem. This paper provides a tutorial on Bayesian approaches for model calibration, describing the theoretical basis for Bayesian calibration approaches as well as pragmatic considerations that arise in the tasks of creating calibration targets, estimating the posterior distribution, and obtaining results to inform the policy decision. These considerations, as well as the specific steps for implementing the calibration, are described in the context of an extended worked example about the policy choice to provide (or not provide) treatment for a hypothetical infectious disease. Given the many simplifications and subjective decisions required to create prior distributions, model structure, and likelihood, calibration should be considered an exercise in creating a reasonable model that produces valid evidence for policy, rather than as a technique for identifying a unique, theoretically optimal summary of the evidence.
In adults, personality disorders are associated with a low quality of life and high societal costs. To explore whether these findings also apply to adolescents, 131 adolescent patients were recruited from a mental health care institute in The Netherlands. Axis I and Axis II disorders were diagnosed using semi-structured interviews. The EuroQol EQ-5D was used to measure quality of life and costs were measured by the Trimbos and Institute for Medical Technology Assessment Questionnaire on Costs Associated with Psychiatric Illness. The mean EQ-5D index value was 0.55. The mean direct medical cost in the year prior to treatment was €14,032 per patient. The co-occurrence of Axis I and Axis II disorders was a significant predictor of a low quality of life. Direct medical costs were higher for the depressive personality disorder. This study shows that the burden of disease among adolescents with personality pathology is high. This high burden provides evidence to suggest that further research and development of (cost-)effective treatment strategies for this population may be worthwhile.
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