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Background: A telemedicine care concept based on telephone contacts and individualized text messages was developed for patients with mental disorders to continue treatment after therapy in a psychiatric day hospital. The primary objective of this study was to evaluate the effectiveness of the telemedicine interventions. Methods: The study had a 3-armed, randomized design with 2 intervention arms (intervention 1: telephone contacts; intervention 2: telephone contacts and short text messages; both took place over a period of 6 months and in addition to usual care), and a control group with usual care. Primary outcomes were 18-item Brief Symptom Inventory (BSI-18) scores for anxiety, depression and somatization. All participants were recruited from psychiatric day hospitals. The study was registered in the German Clinical Trials Register (DRKS00000662). Results: 113 participants were analyzed 6 months after starting the intervention. The average BSI-18 anxiety score after 6 months was -2.04 points lower in intervention group 2 than in the control group (p value: 0.042). The difference in BSI depression score between these two groups was marginally significant (p value: 0.1), with an average treatment effect of -1.73. In an exploratory sensitivity analysis restricted to the 75% of patients with the highest symptom scores at baseline, intervention group 1 yielded a significant effect for anxiety and depression compared to the control group (p = 0.036 and 0.046, respectively). Conclusions: Telemedicine provides a novel option in psychiatric ambulatory care with statistically significant effects on anxiety. A positive tendency was observed for depression, especially in cases with higher symptom load at baseline.
Background: Annual transfusion rates in many European countries range between 25 and 35 red blood cell concentrates (RBCs)/1,000 population.It is unclear why transfusion rates in Germany are considerably higher (approx. 50–55 RBCs/1,000 population). Methods: We assessed the characteristics of transfusion recipients at all hospitals of the German federal state Mecklenburg-Western Pomerania during a 10-year longitudinal study. Results: Although 75% of patients received ≤4 RBCs/patient in 2015 (1 RBC: 11.3%; 2 RBCs: 42.6%; 3 RBCs: 6.3%; 4 RBCs: 15.0%), the mean transfusion index was 4.6 RBCs due to a minority of patients with a high transfusion demand. Two thirds of all RBCs were transfused to only 25% of RBC recipients. Consistently, male patients received a higher number of RBCs (2005: 54.2%; 2015: 56.8%) and had a higher mean transfusion index than female patients (mean 5.1 ± 7.2; median 2; inter-quartile range [IQR] 2–4 vs. mean 4.0 ± 5.8; median 2; IQR 2–4). The absolute transfusion demand decreased between 2005 and 2015 by 13.5% due to a composite of active reduction (clinical practice change) and population decline in the 65- to 75-year age group (lower birth rate cohort 1940–1950); however, with major differences between hospitals (range from –61.0 to +41.4%). Conclusion: Transfusion demand in a population could largely be driven by patients with high transfusion demand. Different treatment practices in this group of patients probably add to the major differences in transfusion demand per 1,000 individuals between countries. The available data cannot prove this hypothesis. Implementation of a diagnosis-related group-based monitoring system is urgently needed to allow informative monitoring on the population level and meaningful comparisons between transfusion practices.
Background: Securing future blood supply is a major issue of transfusion safety. In this prospective 10-year longitudinal study we enrolled all blood donation services and hospitals of the federal state Mecklenburg-Western Pomerania. Methods and Results: From 2005 to 2015 (time period with major demographic effects), whole blood donation numbers declined by 18%. In male donors this paralleled the demographic change, while donation rates of females declined 12.4% more than expected from demography. In parallel, red cell transfusion rates/1,000 population decreased from 2005 to 2015 from 56 to 51 (-8.4%), primarily due to less transfusions in patients >60 years. However, the transfusion demand declined much less than blood donation numbers: -13.5% versus -18%, and the population >65 years (highest transfusion demand) will further increase. The key question is whether the decline in transfusion demand observed over the previous years will further continue, hereby compensating for reduced blood donation numbers due to the demographic change. The population structure of Mecklenburg-Western Pomerania reflects all Eastern German federal states, while the Western German federal states will reach similar ratios of age groups 18-64 years / ≥65 years about 10 years later. Conclusions: Regular monitoring of age- and sex-specific donation and transfusion data is urgently required to allow transfusion services strategic planning for securing future blood supply.