Inequalities in Health: Methodological Approaches to Spatial Differentiation.

Area of Science:

• Public Health
• Health Geography
• Socioeconomic Determinants of Health

Background:

• Health inequalities persist within communities, necessitating robust assessment tools.
• Understanding the spatial distribution of health determinants is crucial for targeted interventions.
• Existing methods may not fully capture the complexity of health status variations.

Purpose of the Study:

• To develop and apply a comprehensive approach for assessing community health inequalities.
• To analyze the spatial differentiation of key health determinants.
• To evaluate the impact of different assessment methods on health status rankings.

Main Methods:

• Development of a composite indicator, the Health Index, comprising 8 domains and 60 indicators.
• Utilizing multicriteria decision-making methods, specifically Weighted Sum Model (WSA) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).
• Application of methods to district-level (LAU 1) data in the Czech Republic.

Main Results:

• Both WSA and TOPSIS methods showed similar spatial differentiation patterns when all domains were equally weighted.
• Assigning different weights to domains significantly altered index values and district rankings.
• Weighting adjustments led to notable rearrangements in the ranking of districts with average Health Index scores.

Conclusions:

• The developed Health Index provides a quantitative measure for assessing community health inequalities.
• Multicriteria decision-making methods are effective for analyzing spatial health variations.
• The choice of weighting in assessment methods critically influences the perception and ranking of community health status.