Localization of a demand for nursing model at the grassroots level

Area of Science:

• Healthcare economics
• Nursing workforce analysis
• Public health policy

Background:

• Accurate nursing demand modeling is essential for effective healthcare workforce planning.
• Existing state-level nursing demand models suffer from a lack of standardized definitions for key economic terms.
• This lack of standardization hinders reliable long-range forecasting for the nursing profession nationwide.

Purpose of the Study:

• To identify the critical issue of non-standardized definitions in nursing demand models.
• To evaluate the impact of these definitions on the accuracy of long-range nursing workforce forecasting.
• To propose an alternative approach for developing a more accurate nursing demand model.

Main Methods:

• Analysis of existing state-level nursing demand models and their methodologies.
• Examination of data sources used by governmental health agencies, such as the U.S. Department of Health and Human Services' Health Resources and Services Administration.
• Critique of definitions of "demand" and nursing population inclusion criteria within these models.

Main Results:

• A significant obstacle to developing usable nursing demand models is the lack of standardized definitions for "demand."
• Models utilizing U.S. Department of Health and Human Services data are invalid as they exclude Licensed Practical Nurses (LPNs).
• Several state models (California, Pennsylvania, North Dakota, New Jersey, District of Columbia) exhibit similar definitional flaws.

Conclusions:

• The failure to standardize economic terms in nursing demand models undermines nationwide long-range forecasting.
• Current models, by excluding segments of the nursing population like LPNs, produce inaccurate projections.
• Accurate nursing demand modeling is achievable only at a localized, county-by-county, grassroots level.