Related Experiment Video
Updated: Feb 8, 2026

07:43
Quantifying Social Motivation in Mice Using Operant Conditioning
Published on: August 8, 2015
18.9K
Systematic review of methods for quantifying teamwork in the operating theatre
N Li1, D Marshall2, M Sykes2
1Department of General Surgery Wexham Park Hospital Slough UK.
BJS Open
|June 29, 2018
Summary
Operating theatre teamwork is crucial for patient outcomes. Observational tools, like the Non-Technical Skills (NOTECHS) system, are more reliable than self-assessment for measuring teamwork, as professional differences can bias self-assessments.
Area of Science:
- Surgical Safety
- Healthcare Quality Improvement
- Team Dynamics
Background:
- Operating theatre teamwork significantly impacts clinical outcomes.
- Existing teamwork measurement tools include self-assessments and observer assessments.
- A critical analysis of the validity and reliability of these tools is needed.
Purpose of the Study:
- To critically analyze the validity and reliability of teamwork measurement tools used in operating theatres.
- To compare self-assessment tools with observer-based assessment tools.
Main Methods:
- Systematic literature search of MEDLINE and Embase databases following PRISMA guidelines.
- Assessment of content validity, predictive validity, multisite reliability, and interobserver reliability.
- Quantitative meta-analysis was not employed.
Main Results:
- Forty-eight articles were included; 18 used self-assessment, 28 used observational tools.
- Self-assessment tool validity varied by professional group.
- The Safety Attitudes Questionnaire (SAQ) showed limitations in multisite reliability.
- The Non-Technical Skills (NOTECHS) system demonstrated strong test-retest and interobserver reliability.
Conclusions:
- Professional differences influence self-assessment of operating theatre teamwork.
- Trained observers using tools like NOTECHS provide more reliable teamwork assessments.
- Observational tools are recommended for objective evaluation of surgical team performance.
Related Concept Videos
Systematic Sampling Method
13.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.4K
Review and Preview
8.4K
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.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.5K
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...
11.5K
Random and Systematic Errors
15.2K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.2K
Quantifying Work
24.5K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
24.5K
Propagation of Uncertainty from Systematic Error
1.5K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K

