Program staff may develop a statistical model as part of the project theory design. Statistical models can be useful tools to predict elements of the program:
- Comparison between groups
The shortage of registered nurses in the United States of America is a well documented phenomenon. There are many programs aimed at understanding the reasons less people are not going into nursing. One nursing project developed a statistical model that provided a revised forecast of the nursing shortage. The model showed that although there was a marked decline in the number of people entering nursing in their early to mid-twenties, there were large numbers of people becoming nurses in their later twenties and early thirties.
The model led to a series of policy recommendations including:
- encouraging graduates to consider a nursing career
- increasing the number of qualified nursing education staff
- improving the ergonomic workplace environment for the larger cohort of older nurses
The model will also be useful during the evaluation stage - was the revised forecast accurate? If so, were the planned interventions appropriate? If not, why?
Source: Auerbach, Buerhaus & Staiger (2007)
Advice for CHOOSING this option (tips and traps)
- Before choosing this option identify which or if any of the elements of the program are useful to test using statistical models.
Advice for USING this option (tips and traps)
- Use the statistical model that was developed as part of the program theory.
- Ensure the evaluation Terms of Reference (TOR) includes specifications for statistical skills.
Better late than never: Workforce supply implications of later entry into nursing - This report analyses nurse workforce data from 2005 and presents conclusions related to that data
- Auerbach, D. I., Buerhaus, P. I., & Staiger, D. O. (2007). Better late than never: Workforce supply implications of later entry into nursing. Health Affairs, 26(1), 178-185. Retrieved from http://content.healthaffairs.org/content/26/1/178.full.pdf html