Therapeutic leave and direct inpatient healthcare costs in inpatients with mental illness.

AIMS: Balancing the economic costs related to mental illness is a pressing matter globally. Scarce monetary and staff resources impose an ongoing challenge. Therapeutic leaves (TL) are an established clinical tool in psychiatry possibly improving therapy outcome and potentially lowering direct mental healthcare costs in the long term. We thus examined the association between TL and direct inpatient healthcare costs. METHODS: We analyzed the association between the number of TL and direct inpatient healthcare costs in a sample of 3151 inpatients, using a tweedie multiple regression model, including eleven confounders. Using multiple linear (bootstrap) and logistic regression models we assessed the robustness of our results. RESULTS: The tweedie model showed that the number of TL was associated with lower costs following the initial inpatient stay (B = -.141, CI 95% = [-0.225, -.057], p < 0.001). Results of the multiple linear and the logistic regression models matched those of the tweedie model. CONCLUSION: Our findings suggest a link between TL and direct inpatient healthcare costs. TL might lower direct inpatient healthcare costs. In the future RCTs might examine whether an increased utilization of TL leads to a reduction of outpatient treatment costs and evaluate the association of TL with outpatient treatment costs and indirect costs. The systematic use of TL during inpatient treatment could reduce healthcare costs following the initial inpatient stay which is highly relevant due to global rise of mental illness and the associated financial pressure on healthcare systems.

Is helping you helping me? The assessment of helping others using event sampling methodology in a clinical and a non-clinical sample.

Individuals diagnosed with major depressive disorder (MDD) and social phobia (SP) have difficulties in social interactions. It is unknown, however, whether such difficulties prevent them from helping others, thereby depriving them of the natural benefits of helping, such as receiving gratitude. Using event sampling methodology (ESM), individuals (MDD, n = 118; SP, n = 47; and control group, n = 119) responded to questions about the frequency of helping, in total at 5333 time points, and their well-being. Contrary to our hypothesis, individuals in the MDD, SP and control group did not differ in their helping frequency. Results did show an association between helping and well-being, such that helping is related to well-being and well-being to helping. Understanding the complex relation of helping others and well-being and how this might be used during therapy and prevention programmes are discussed.

Validity of the counter-app method in the assessment of intrusions.

BACKGROUND AND OBJECTIVES: The counter-app method is often used to assess the frequency of intrusions. The method requires the participants to press a button on a smartphone whenever an intrusion occurs during a predefined time period. We evaluated the convergent, discriminant, and predictive validity of the counter-app method in two studies. METHODS: In the first study, we assessed the frequency of intrusions with a counter-app method, thought-sampling method, and a retrospective measure in N = 77 students. Additionally, we assessed retrospectively-estimated duration, percentage of time, intensity, and intrusiveness of intrusions. The second study (N = 65) was identical to the first except the thinking-aloud method replaced the thought-sampling method, and additionally we assessed behavioral neutralizing. RESULTS: The counter-app frequency was positively correlated with the convergent (thought-sampling and thinking-aloud frequencies, and retrospectively-estimated frequencies of intrusions) and predictive (behavioral neutralizing) validity criteria. The correlations between counter-app frequency and discriminant validity criteria (retrospectively-estimated duration, percentage of time, intensity, and intrusiveness of intrusions) were not smaller than the correlations between counter-app frequency and convergent validity criteria. LIMITATIONS: We evaluated the predictive validity of the counter-app method using a criterion typical of obsessive-compulsive disorder research. Thus, the result for predictive validity might not transfer to other areas. CONCLUSIONS: Our findings support convergent and predictive, but not discriminant, validity of the counter-app method. The counter-app method can validly assess the frequency of intrusions but is not appropriate if the study requires the differentiation of frequency from other constructs such as duration.

Cost of disorders of the brain in Europe 2010.

BACKGROUND: The spectrum of disorders of the brain is large, covering hundreds of disorders that are listed in either the mental or neurological disorder chapters of the established international diagnostic classification systems. These disorders have a high prevalence as well as short- and long-term impairments and disabilities. Therefore they are an emotional, financial and social burden to the patients, their families and their social network. In a 2005 landmark study, we estimated for the first time the annual cost of 12 major groups of disorders of the brain in Europe and gave a conservative estimate of €386 billion for the year 2004. This estimate was limited in scope and conservative due to the lack of sufficiently comprehensive epidemiological and/or economic data on several important diagnostic groups. We are now in a position to substantially improve and revise the 2004 estimates. In the present report we cover 19 major groups of disorders, 7 more than previously, of an increased range of age groups and more cost items. We therefore present much improved cost estimates. Our revised estimates also now include the new EU member states, and hence a population of 514 million people. AIMS: To estimate the number of persons with defined disorders of the brain in Europe in 2010, the total cost per person related to each disease in terms of direct and indirect costs, and an estimate of the total cost per disorder and country. METHODS: The best available estimates of the prevalence and cost per person for 19 groups of disorders of the brain (covering well over 100 specific disorders) were identified via a systematic review of the published literature. Together with the twelve disorders included in 2004, the following range of mental and neurologic groups of disorders is covered: addictive disorders, affective disorders, anxiety disorders, brain tumor, childhood and adolescent disorders (developmental disorders), dementia, eating disorders, epilepsy, mental retardation, migraine, multiple sclerosis, neuromuscular disorders, Parkinson's disease, personality disorders, psychotic disorders, sleep disorders, somatoform disorders, stroke, and traumatic brain injury. Epidemiologic panels were charged to complete the literature review for each disorder in order to estimate the 12-month prevalence, and health economic panels were charged to estimate best cost-estimates. A cost model was developed to combine the epidemiologic and economic data and estimate the total cost of each disorder in each of 30 European countries (EU27+Iceland, Norway and Switzerland). The cost model was populated with national statistics from Eurostat to adjust all costs to 2010 values, converting all local currencies to Euro, imputing costs for countries where no data were available, and aggregating country estimates to purchasing power parity adjusted estimates for the total cost of disorders of the brain in Europe 2010. RESULTS: The total cost of disorders of the brain was estimated at €798 billion in 2010. Direct costs constitute the majority of costs (37% direct healthcare costs and 23% direct non-medical costs) whereas the remaining 40% were indirect costs associated with patients' production losses. On average, the estimated cost per person with a disorder of the brain in Europe ranged between €285 for headache and €30,000 for neuromuscular disorders. The European per capita cost of disorders of the brain was €1550 on average but varied by country. The cost (in billion €PPP 2010) of the disorders of the brain included in this study was as follows: addiction: €65.7; anxiety disorders: €74.4; brain tumor: €5.2; child/adolescent disorders: €21.3; dementia: €105.2; eating disorders: €0.8; epilepsy: €13.8; headache: €43.5; mental retardation: €43.3; mood disorders: €113.4; multiple sclerosis: €14.6; neuromuscular disorders: €7.7; Parkinson's disease: €13.9; personality disorders: €27.3; psychotic disorders: €93.9; sleep disorders: €35.4; somatoform disorder: €21.2; stroke: €64.1; traumatic brain injury: €33.0. It should be noted that the revised estimate of those disorders included in the previous 2004 report constituted €477 billion, by and large confirming our previous study results after considering the inflation and population increase since 2004. Further, our results were consistent with administrative data on the health care expenditure in Europe, and comparable to previous studies on the cost of specific disorders in Europe. Our estimates were lower than comparable estimates from the US. DISCUSSION: This study was based on the best currently available data in Europe and our model enabled extrapolation to countries where no data could be found. Still, the scarcity of data is an important source of uncertainty in our estimates and may imply over- or underestimations in some disorders and countries. Even though this review included many disorders, diagnoses, age groups and cost items that were omitted in 2004, there are still remaining disorders that could not be included due to limitations in the available data. We therefore consider our estimate of the total cost of the disorders of the brain in Europe to be conservative. In terms of the health economic burden outlined in this report, disorders of the brain likely constitute the number one economic challenge for European health care, now and in the future. Data presented in this report should be considered by all stakeholder groups, including policy makers, industry and patient advocacy groups, to reconsider the current science, research and public health agenda and define a coordinated plan of action of various levels to address the associated challenges. RECOMMENDATIONS: Political action is required in light of the present high cost of disorders of the brain. Funding of brain research must be increased; care for patients with brain disorders as well as teaching at medical schools and other health related educations must be quantitatively and qualitatively improved, including psychological treatments. The current move of the pharmaceutical industry away from brain related indications must be halted and reversed. Continued research into the cost of the many disorders not included in the present study is warranted. It is essential that not only the EU but also the national governments forcefully support these initiatives.

The epidemiology of generalized anxiety disorder in Europe.

The objective of this paper is to provide a review on available data to date on the epidemiology of GAD in Europe, and to highlight areas for future research. MEDLINE searches were performed and supplemented by consultations with experts across Europe to identify non-published reports. Despite variations in the design of studies, available data suggest that (a) about 2% of the adult population in the community is affected (12-month prevalence), (b) GAD is one of the most frequent (up to 10%) of all mental disorders seen in primary care, (c) GAD is a highly impairing condition often comorbid with other mental disorders, (d) GAD patients are high utilizers of healthcare resources, and (e) despite the high prevalence of GAD in primary care, its recognition in general practice is relatively low. Marked data deficits are: lack of data from eastern European countries, lack of information about the natural course of GAD in unselected samples, the vulnerability and risk factors involved in the aetiology of GAD and lack of data about adequate and inappropriate treatments in GAD patients as well as the associated and societal costs of GAD.