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Profiling the different needs and expectations of patients for population-based medicine: a case study using
Federico Lega1, Alessandro Mengoni
1Department of Policy Analysis and Public Management, Cergas and Area PMP SDA Bocconi, Bocconi University, Via Rontgen 1, 20136, Milan, Italy. federico.lega@unibocconi.it
Patient segmentation analysis identifies four distinct patient groups to improve population-based medicine and chronic care management. This method enhances tailored healthcare strategies for better patient outcomes.
Area of Science:
- Health Services Research
- Population Health Management
- Patient Engagement
Background:
- Patient segmentation is crucial for personalized care within population-based medicine.
- Effective chronic care management requires understanding patient profiles for self-management.
- Existing literature highlighted a gap in empirical patient segmentation analysis.
Purpose of the Study:
- To develop and illustrate an evidence-based method for patient segmentation analysis.
- To identify distinct patient profiles to inform healthcare strategies.
- To enhance the approach to population-based medicine and chronic care management.
Main Methods:
- Conducted a literature review on patient satisfaction and segmentation to develop a survey.
- Administered 3,461 surveys to outpatient services users.
- Utilized principal component factor analysis and cluster analysis for segmentation.
Main Results:
- Identified four distinct patient segments: 'unpretentious,' 'informed and supported,' 'experts,' and 'advanced' patients.
- Analysis revealed key structures influencing patient perception of outpatient services.
- Outlined policy and managerial implications for each identified segment.
Conclusions:
- Provided a replicable method for patient profiling using satisfaction surveys.
- Proposed patient segments based on analysis within the Italian National Health System.
- Highlighted the utility of patient segmentation for developing effective population-based medicine approaches.
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