[Prevalence of dementia in university hospitals : Analysis of ICD-10 coding in 5 university hospitals in Germany over a 2-year period]. / Prävalenzen von Demenz in Universitätskliniken : Analyse von ICD-10-Kodierungen in fünf Universitätskliniken in Deutschland über zwei Geschäftsjahre.

BACKGROUND: Demographic changes result in a higher prevalence of patients suffering from dementia in hospital. In Germany, epidemiological data of this target group are scarce and prevalence rates from university hospitals (UH) are not available. The prevalence rates and distribution were analyzed on the basis of ICD-10-GM (German modification) routine data METHOD: A secondary analysis on ICD-10-GM main and secondary diagnoses of dementia from 2014 and 2015 from 5 UH was performed. All patients admitted to hospital for at least 24 h and ≥18 years old (2014 n = 187,168; 2015 n = 189,040) were included. A descriptive analysis for the >69-year-old group was carried out (2014, n = 67,111; 2015; n = 67,824). RESULTS: The 1­year prevalence (2014/2015) for all 5 UH for patients ≥18 years old was 1.3%/1.4% and for the >69-year-old group, 3.3%/3.5%. The prevalence rates between the five UH varied: for patients ≥18 years the range was 0.44-2.16% (2014) and 0.44-2.77% (2015) and for >69-year-olds 1.16-5.52% (2014) and 1.16-7.06% (2015). Most cases were correlated with major diagnostic categories of traumatology, cardiology, gastroenterology and neurology. CONCLUSION: Analysis of ICD-10-GM routine data can provide an indication of the prevalence of dementia in UH. Results of the >69-year-olds varied greatly between participating UH. The reasons for this might be different healthcare tasks, especially with respect to geriatric patients; however, it is also possible that assessment procedures are not standardized and unreliable and therefore the coding is invalid. A standardized procedure for the identification of people suffering from dementia is necessary.

Opportunities, Risks, Strengths and Weaknesses of Robotic Systems in Early Neurological Rehabilitation.

Given the conference's focus on innovative healthcare solutions, our investigation into robotic assistance systems highlights crucial advancements in early motor rehabilitation, aligning closely with emerging healthcare priorities. In combination with conventional therapy, the assistance systems offer new possible therapy programs. They can be used to mobilize and move patients as early as possible. The paper discusses the possibilities that arise from their use and considers the obstacles that arise. As part of a qualitative survey, nine expert interviews from different fields were conducted to guide them on robotic assisted living systems. The results obtained were summarized by coding into categories and evaluated. Our analysis of 148 coding points from nine expert interviews reveals significant insights into the strengths and weaknesses of robotic systems in neurorehabilitation. Each point was meticulously categorized to reflect its impact on both practice and patient outcomes, highlighting the practical implications of our findings. The results of the survey and the literature indicate a positive effect of robotic assistance systems in early rehabilitation. Their use requires intensive monitoring and studies on the long-term application of the systems.