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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Modeling spasticity: a systematic review.

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Developing spasticity simulation models for clinical teaching faces challenges. Current evidence limits the feasibility of creating accurate models based on existing literature, despite identified training opportunities.

Keywords:
hypertoniamodeling and simulationspasticity

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Medical Education

Background:

  • Spasticity, a neurological condition causing increased muscle tone, complicates assessment due to secondary non-neurological factors like soft tissue changes.
  • Accurate spasticity assessment is vital for effective treatment planning, often relying on clinicians' tactile evaluation during passive limb movement.

Purpose of the Study:

  • To identify and evaluate the feasibility of spasticity models or simulations for clinical teaching purposes.
  • To examine existing models based on human spastic limbs across various neurological conditions and populations.

Main Methods:

  • A comprehensive literature search was conducted across four databases and gray literature.
  • Study selection, data extraction, and synthesis involved independent reviewers, focusing on model development, data, and evaluation.
  • Study quality was assessed using an adapted health technology assessment framework.

Main Results:

  • The review identified opportunities for developing simulation models to enhance clinical training.
  • However, significant limitations in the existing evidence base were found.
  • The feasibility of developing spasticity models from current literature is restricted.

Conclusions:

  • While simulation models offer potential for spasticity training, the current evidence base is insufficient for their development.
  • Further research and development are needed to create feasible and effective spasticity simulation models for clinical education.