A multivariate analysis of long-term care nursing services

Area of Science:

• Healthcare Management
• Marketing Science
• Gerontology

Background:

• Marketing frameworks are increasingly applied to nonprofit sectors like healthcare.
• A gap exists in application-oriented research for healthcare marketing, particularly in long-term care.
• Skilled long-term care nursing homes face unique marketing challenges and require specific strategies.

Purpose of the Study:

• To develop and apply a multiple discriminant analysis model for long-term care facilities.
• To identify critical factors impacting occupancy rates in skilled nursing homes.
• To provide actionable insights for marketers and administrators in the long-term care sector.

Main Methods:

• Development of a multiple discriminant analysis (MDA) model.
• Application of the MDA model to empirical data from long-term care facilities.
• Statistical analysis to identify significant predictors of occupancy rates.

Main Results:

• Empirical findings reveal specific factors that significantly affect occupancy rates in skilled nursing homes.
• The developed MDA model effectively differentiates facilities based on occupancy levels.
• Key drivers influencing resident placement and facility utilization were identified.

Conclusions:

• Marketing strategies tailored to long-term care are crucial for optimizing occupancy.
• Understanding the factors affecting occupancy enables targeted marketing and management interventions.
• The MDA model serves as a valuable tool for assessing and improving the performance of skilled nursing facilities.