BackgroundPrompt administration of post-exposure prophylaxis (PEP) is crucial to prevent a fatal rabies infection after an animal associated injury (AAI), preferably within 24 h. PEP, especially in... Show moreBackgroundPrompt administration of post-exposure prophylaxis (PEP) is crucial to prevent a fatal rabies infection after an animal associated injury (AAI), preferably within 24 h. PEP, especially in case of a type III injury for which rabies immune globulin (RIG) is needed, is difficult to obtain abroad. This, along with the fear of potentially having contracted a lethal disease, might be an important source for anxiety and distress. We investigated the occurrence and extent of self-reported anxiety and distress at different timepoints among Dutch travellers after encountering an AAI, and the involved factors.MethodsA retrospective quantitative observational study was conducted including insured Dutch travellers who actively contacted Eurocross Assistance after encountering an AAI abroad. An online questionnaire was designed to measure anxiety and distress levels, using the HADS (Hospital Anxiety and Depression Scale) and distress thermometer at three time points: departure from home (T1), post-AAI (T2), and treatment administration (T3). Statistical analyses included T-tests, Chi-square tests, and ANCOVA analyses.ResultsWe showed a significant increase in mean anxiety and distress scores at T2, and a significant decrease at T3. Women were more often anxious and distressed. Between T1 and T2, PrEP, and being aware of the risks were positively associated with anxiety levels, and PrEP and WHO region Africa with distress levels. Between T2 and T3, anxiety levels remained higher for monkey-induced injury, thoracic injuries, and WHO region Southeast Asia. PEP-delay between 24–48 h resulted in decreased distress levels at this time period, while type II injury elevated distress levels.ConclusionsThis study showed significant anxiety and distress levels after an AAI among the vast majority of travellers, which is detrimental to their health-related quality of life (HR-QOL). This highlights the importance of proper pre-travel information. In the context of rabies prevention, these results suggest that pre-travel advice and policy makers should also take aspects of HR-QOL into consideration. Show less
Background: Screening glioma patients regularly for possible mood disorders may facilitate early identification and referral of patients at risk. This study evaluated if the EORTC QLQ-C30 Emotional... Show moreBackground: Screening glioma patients regularly for possible mood disorders may facilitate early identification and referral of patients at risk. This study evaluated if the EORTC QLQ-C30 Emotional Functioning (EF) scale could be used as an initial screening measure to identify patients possibly having a mood disorder. Methods: EORTC QLQ-C30 EF and Hospital Anxiety and Depression Scale (HADS) scores were collected as part of a study assessing the impact of timing of patient-reported outcome assessments on actual health-related quality of life outcomes (N = 99). Spearman correlations and Mann-Whitney U tests were used to determine the association between the EF and HADS (sub)scales. Receiver Operating Characteristic analyses were performed to determine optimal cut-off EF scores to identify patients possibly having a mood disorder (i.e. HADS subscale score >= 8 points). Results: EF and HADS (sub)scales correlated moderately (HADS-A: r = -0.65; HADS-D: r = -0.52). Significant EF score differences were found between patients with HADS >= 8 versus <8 points (HADS-A: mean difference (MD) = 32 and HADS-D: MD = 23). The EF scale had excellent (HADS-A; AUC = 0.88) and borderline excellent (HADS-D; AUC = 0.78) distinguishing capabilities. A statistically optimal (EF score <80) and a most inclusive (sensitivity of 100%, corresponding to an EF score <97) EF cut-off score correctly identified 88.0% and 96.0% of patients with a possible mood disorder, respectively. Conclusion: EORTC QLQ-C30 EF scale seems to be an appropriate screening measure to identify glioma patients possibly having a mood disorder in need of further assessment. Show less
Objective: Depression and anxiety often coexist in patients with end -stage -kidney disease. Recently, studies showed that a composite ?general distress score ? which combines depression and... Show moreObjective: Depression and anxiety often coexist in patients with end -stage -kidney disease. Recently, studies showed that a composite ?general distress score ? which combines depression and anxiety symptoms provides a good fit in dialysis and oncology patients. We aim to investigate if the three most frequently used self -report questionnaires to measure depression and anxiety in dialysis patients are sufficiently unidimensional to warrant the use of such a general distress score in two cohorts of dialysis patients. Methods: This study includes two prospective observational cohorts of dialysis patients (total n = 749) which measured depression and anxiety using Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and Hospital Anxiety and Depression Scale (HADS). Confirmatory factor analyses was used to investigate both a strictly unidimensional model and a multidimensional bifactor model that includes a general distress, depression and anxiety factor. The comparative fit index (CFI) and The Root Mean Square Error of Approximation (RMSEA) were used as model fit indices. Results: Factor analysis did not show a good fit for a strictly unidimensional general distress factor for both the BDI/BAI and HADS (CFI 0.690 and 0.699, RMSEA 0.079 and 0.125 respectively). The multidimensional model performed better with a moderate fit for the BDI/BAI and HADS (CFI 0.873 and 0.839, RMSEA 0.052 and 0.102). Conclusions: This data shows that the BDI/BAI and HADS are insufficiently unidimensional to warrant the use of a general distress score in dialysis patients without also investigating anxiety and depression separately. Future research is needed whether the use of a general distress score might be beneficial to identify patients in need of additional (psychological) support. Show less
