Related Experiment Video
Updated: Jul 16, 2026

09:00
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
Published on: April 13, 2021
[Compulsory admission in Germany--epidemiological data 1992-2003]
1Niedersächsisches Landeskrankenhaus Wunstorf, Südstrasse 25, 31515 Wunstorf. andreas.spengler@nlkhwunstorf.niedersachen.de
Psychiatrische Praxis
|March 31, 2007
Summary
Compulsory admission and civil commitment in Germany show a stabilizing trend on a high level, not a strong rise. This reflects increased legal focus and evolving clinical practices in mental healthcare.
Area of Science:
- Psychiatry
- Law
- Public Health
Context:
- Analysis of compulsory admission and civil commitment in Germany.
- Examination of legal, administrative, and methodological factors influencing long-term trends.
Purpose:
- To provide an overview of compulsory admission and civil commitment in Germany.
- To interpret long-term trends in mental health law and practice.
Summary:
- Statistical investigation of court proceedings and psychiatric hospital admission data from 1992 to 2003 across all German federal states.
- Total civil commitment rates rose from 24 to 55 per 100,000 inhabitants; public commitment rates increased from 64 to 75.
- Court decision rates for physical restraint increased significantly from 12 to 90, while overall commitments rose by 38%.
Impact:
- Findings suggest a stabilization of compulsory admissions in Germany, rather than a sharp increase.
- The trend indicates a growing legal orientation and shifts in clinical practice, including shorter treatment durations and increased use of hostels.
- Highlights the need for nuanced interpretation of mental health admission data, considering legal and clinical practice changes.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Introduction to Epidemiology
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
Prevalence and Incidence
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Principles of Disease Surveillance
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Infectious Diseases and Their Occurrence
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
