[Scientific development of critical care : Position paper]
K Blanck-Köster1, T Becker2, U Gaidys3
1Fakultät für Wirtschaft und Soziales - Department Pflege & Management, Hochschule für Angewandte Wissenschaften Hamburg, Alexanderstraße 1, 20099, Hamburg, Deutschland. katrin.blanck-koester@haw-hamburg.de.
Medizinische Klinik, Intensivmedizin Und Notfallmedizin
|October 18, 2018
Summary
Germany
Area of Science:
- Nursing
- Healthcare Management
- Demography
Background:
- Increasing complexity in German healthcare due to demographic changes.
- Rising number of intensive care unit (ICU) beds and patients treated.
- Need for specialized nursing education in intensive care.
Purpose of the Study:
- To advocate for advanced nursing practice (ANP) in German intensive care.
- To define the role and competencies of nursing experts in complex care.
- To align critical care nursing with European standards.
Main Methods:
- Analysis of demographic trends and ICU statistics in Germany.
- Review of advanced nursing practice models and competencies.
- Examination of recommendations from professional nursing organizations (e.g., DGF).
Main Results:
- Intensive care in Germany faces growing complexity.
- Advanced nursing practice (ANP) offers a framework for managing complex ICU situations.
- Nursing experts can autonomously manage artificial ventilation, weaning, and patient comfort.
Conclusions:
- A master's level qualification is proposed for critical care nursing as advanced nursing practice (ANP).
- Expansion of nursing competencies, roles, and decision-making authority is recommended.
- Adoption of European critical care nursing competencies is encouraged.
Keywords:
Academic developmentAdvanced nursing practiceCritical careCritical care nursingNursing scienceQualityMore Related Videos
09:57A Protocol to Set Up Needle-Free Connector with Positive Displacement on Central Venous Catheter in Intensive Care Unit
Published on: July 13, 2019
13.8K
11:02Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
1.3K
Related Concept Videos
03:50The Scientific Method
66.3K
Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion.
66.3K
01:32The Scientific Method
266.3K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
266.3K
02:40The Scientific Method
65.2K
Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
65.2K
02:31Scientific Laws and Theories
88.3K
Scientific Laws
88.3K
01:16Critical Region, Critical Values and Significance Level
13.4K
The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
13.4K
01:31Critical Values
10.3K
A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
10.3K