Modified importance-performance analysis: an application to hospitals

Area of Science:

• Healthcare Management
• Patient Behavior Analysis
• Service Quality Assessment

Background:

• The healthcare landscape is increasingly competitive, necessitating a deeper understanding of patient decision-making processes.
• Identifying the critical factors influencing patient hospital selection is crucial for healthcare providers aiming to enhance their market position.
• Existing research often lacks a comprehensive approach to evaluating both the importance and performance of hospital attributes from a patient's perspective.

Purpose of the Study:

• To investigate the primary reasons behind patient choices when selecting healthcare facilities in a competitive market.
• To introduce and apply a modified importance-performance analysis (IPA) technique tailored for the healthcare sector.
• To derive actionable strategies for hospitals based on empirical findings regarding patient preferences and service delivery.

Main Methods:

• An empirical study was conducted utilizing a modified importance-performance analysis (IPA) framework.
• Data was collected from patients regarding their perceived importance of various hospital attributes and their satisfaction with the performance of these attributes.
• The modified IPA technique was employed to analyze the collected data, categorizing attributes into strategic quadrants.

Main Results:

• Key attributes significantly influencing patient hospital selection were identified.
• Performance gaps between perceived importance and actual delivery were highlighted for specific hospital services.
• The study revealed distinct patterns in patient decision-making based on the IPA matrix.

Conclusions:

• Hospitals must align service offerings with patient expectations to gain a competitive advantage.
• Strategic interventions focusing on high-importance, low-performance attributes are recommended.
• The modified IPA provides a valuable tool for healthcare organizations to understand and improve patient satisfaction and choice.