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OBJECTIVE: Currently, there is a paucity of up-to-date estimates of the economic burden caused by mental disorders. Such information could provide vital insight into one of the most serious and costly-yet to some extent preventable-health challenges facing the world today. METHOD: Data from a national psychiatric-epidemiological cohort study (NEMESIS-2, N = 6506) were used to provide reliable, relevant, and up-to-date cost estimates (in 2019 Euro) regarding healthcare costs, productivity losses, and patient and family costs associated with DSM-IV mental disorders both at individual level, but also in the general population and in the workforce of the Netherlands (per 1 million population). RESULTS: In the general population, the costs of mood disorders, specifically depression, are substantial and rank above those from the anxiety disorders, whilst costs of anxiety disorders are more substantial than those stemming from substance use disorders, even when the per-person costs of drug abuse appear highest of all. In the workforce, specific and social phobias are leading causes of excess costs. The workforce has lower healthcare costs but higher productivity costs than general population. DISCUSSION: The findings suggest that (preventive) healthcare interventions targeting the workforce are likely to become cost-effective and underscore the importance for employers to create healthy work environments. Overall, the results highlight the need to strengthen the role of mental health promotion and prevention of mental disorders in the social domain before people require treatment to reduce the staggering and costly burden caused by mental disorders to individuals and society.
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Therapeutic Drug Monitoring (TDM) of anti-epileptic drugs (AEDs) is not routinely performed, although this can guide the dosage regimen to achieve greater efficacy and safety. Levetiracetam (LEV) has been introduced as an AED with an almost perfect pharmacokinetic (PK) profile. Nonetheless, recent research challenges this statement and therefore we aimed to explore factors that modify LEV PK. Age and enzyme-inducing drugs (EIDs) appear to be major factors influencing the PK profile of LEV. Therefore, 30-50% lower dosages should be used in the elderly (> 65 years of age) and the dosing regimen should be guided by monitoring SDC (TDM). In contrast, higher LEV dosages are necessary in children aged between 2 months and 12 years (compared to adults) due to a 30-70% increase of LEV clearance (CL). Higher dosages are also required if a patient receives EIDs, again due to a higher CL of LEV (range 24-60%). This could also be true for pregnant women. LEV TDM is currently not common in the clinical setting due to the wide therapeutic range and the low prevalence of side-effects. However, LEV dose should on the one hand be increased in certain physiological situations (pregnancy, neonates) and patients on EIDs (especially carbamazepine). On the other hand, dose reductions are necessary when the LEV CL is impaired (elderly). Nevertheless, current data to support regular LEV TDM are lacking. Prospective research is needed to explore the importance of LEV TDM in elected patient groups; i.e. neonates, elderly, patients on EIDs and pregnant women.
Assuntos
Anticonvulsivantes/uso terapêutico , Monitoramento de Medicamentos/métodos , Epilepsia/tratamento farmacológico , Levetiracetam/uso terapêutico , HumanosRESUMO
BACKGROUND: Data on epidemiology, costs, and outcomes of burn-related injuries presenting at emergency departments (EDs) are scarce. To obtain such information, a questionnaire study with an adequate response rate is imperative. There is evidence that optimized strategies can increase patient participation. However, it is unclear whether this applies to burn patients in an ED setting. The objective of this feasibility study was to optimize and evaluate patient recruitment strategy and follow-up methods in patients with burn injuries presenting at EDs. METHODS: In a prospective cohort study with a 6-month follow-up, patients with burn-related injuries attending two large EDs during a 3-month study period were included. Eligible patients were quasi-randomly allocated to a standard or optimized recruitment strategy by week of the ED visit. The standard recruitment strategy consisted of an invitation letter to participate, an informed consent form, a questionnaire, and a franked return envelope. The optimized recruitment strategy was complemented by a stamped returned envelope, monetary incentive, sending a second copy of the questionnaire, and a reminder by telephone in non-responders. Response rates were calculated, and questionnaires were used to assess treatment, costs, and health-related quality of life. RESULTS: A total of 87 patients were included of which 85 were eligible for the follow-up study. There was a higher response rate at 2 months in the optimized versus the standard recruitment strategy (43.6% vs. 20.0%; OR = 3.1 (95% CI 1.1-8.8)), although overall response is low. Non-response analyses showed no significant differences in patient, burn injury or treatment characteristics between responders versus non-responders. CONCLUSIONS: This study demonstrated that response rates can be increased with an optimized, but more labor-intensive recruitment strategy, although further optimization of recruitment and follow-up is needed. It is feasible to assess epidemiology, treatment, and costs after burn-related ED contacts.
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BACKGROUND: Diagnosing epilepsy is a lengthy and burdensome process for patients and their family. Although the need for a more patient-centered approach in clinical practice is widely acknowledged, empirical evidence regarding patient preferences for diagnostic modalities in epilepsy is missing. The objectives of this study were 1) to identify to what extent important attributes of diagnostic procedures in epilepsy affect preferences for a procedure, 2) to determine the relative importance of these attributes, and 3) to calculate overall utility scores for routine electroencephalography (EEG) and magnetoencephalography (MEG) recordings. METHODS: A discrete choice experiment was performed to determine patients' preferences, which involved presentation of pairwise choice tasks regarding hypothetical scenarios. Scenarios varied along six attributes: "way of measuring brain activity", "duration", "freedom of movement", "travel time", "type of additional examination", and "chance of additional examination". Choice tasks were constructed using a statistically efficient design, and the questionnaire contained 15 unique unlabeled choice tasks. Mixed multinomial logistic regression was used to estimate patients' preferences. RESULTS: A total of 289 questionnaires were included in the analysis. McFadden's pseudo R(2) showed a model fit of 0.28, and all attributes were statistically significant. Heterogeneity in preferences was present for all attributes. "Freedom of movement" and "Chance of additional examination" were perceived as the most important attributes. Overall utility scores did not substantially differ between routine EEG and MEG. CONCLUSION: This study suggests that the identified attributes are important in determining patients' preference for epilepsy diagnostics. It can be concluded that MEG is not necessarily more patient-friendly than a routine EEG in primary diagnostics and, regarding additional diagnostics, patients have a strong preference for long-term 24-h EEG over EEG after sleep deprivation. Furthermore, barring substantial heterogeneity within the parameters in mind, our study suggests that it is important to take individual preferences into account in medical decision-making.