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There is selection of the workforce.
The selection of the workforce projection methodologies used involved consideration of a broad range of literature relating to health workforce planning and modelling [ 9- 13].
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In addition merging these data with exposures during work-life would allow researchers in occupational health to utilize an outcome variable (i.e., health at age 65 66, as ascertained from Medicare claims) that is less biased by selection out of the workforce than private insurance claims, as well as more timely and relevant than cause and age of death.
It is important to remember this when addressing workforce issues, especially when focusing on one section of the workforce community, the radiography workforce.
Some authors argue that HWE is selection bias, which occurs because persons in poor health are selected out of the workforce [ 5, 11, 12, 15, 30].
10 This self-selection includes both selection of healthy people into employment and selection of unhealthy people out of the workforce, 9 and is more pronounced in physically demanding occupations.
This work therefore assists the maintenance manager on the correct selection of workforce progress; it helps in determining factors such as optimal return-on-workforce investment and the measure of the degree of maintenance goal attainment.
Potential biases in selection might also impact on the cultural diversity of the workforce.
Selection of participants was based on strategic differences and reflected the composition of the workforce.
Roughly 25% of the workforce sat idle.
The quality of the workforce is good.
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