Lessons from Disability Counting in Ecuador, with a Contribution from Primary Health Care

Area of Science:

• Public Health
• Disability Studies
• Health Services Research

Background:

• Current disability prevalence metrics often fail to align with evolving disability concepts and practical service needs.
• Dichotomous counting methods present challenges in accurately reflecting disability variations and comparing situations across different regions.
• Primary Health Care (PHC) settings offer a unique perspective for exploring more effective disability data collection.

Purpose of the Study:

• To explore alternative methods for disability counting beyond traditional prevalence measures.
• To assess the utility of a needs-driven approach for identifying individuals with disabilities within a PHC context.
• To evaluate the potential of PHC-based disability data for local service planning and policy development.

Main Methods:

• Analysis of six national cross-sectional disability studies in Ecuador.
• Presentation of a case study detailing an exploratory needs-driven disability counting method in a local PHC setting.
• Examination of rate variations to understand risks of exclusion from services.

Main Results:

• Prevalence-based disability counting presents limitations in identifying individuals and matching them with services.
• A needs-driven method, integrated into PHC, can generate valuable local disability data.
• Longitudinal data collection emerges as a byproduct of addressing needs within PHC.

Conclusions:

• Rethinking disability counting from a PHC perspective in developing countries is crucial for accurate situation evaluation.
• The needs-driven counting method shows promise for local service planning and complements existing cross-sectional approaches.
• Further exploration of the needs-driven method is recommended for its practical application and policy implications.