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Preventable mortality: indicator or target? Applications in developing countries
Summary
This study introduces methods to measure preventable mortality using standardized mortality ratios and years of potential life lost. The ratio of observed and expected years of potential life lost (RYPLL) is most sensitive for assessing health inequalities and guiding public health strategies.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Preventable mortality is a key indicator of health system performance and population well-being.
- Existing mortality metrics may not fully capture health disparities or progress.
- International comparisons are valuable for setting health goals and identifying areas for improvement.
Purpose of the Study:
- To analyze preventable mortality using multiple indicators, including standardized mortality ratio (SMR) and ratio of observed and expected years of potential life lost (RYPLL).
- To illustrate these methods using mortality data from Argentina and Mexico.
- To assess the utility of RYPLL in identifying health inequalities beyond traditional mortality measures.
Main Methods:
- Calculation of SMR for all ages and for deaths before age 65.
- Computation of RYPLL using country-specific past data (for progress assessment) and US data (for future goals).
- Analysis of all-cause and cause-specific mortality for comparisons.
Main Results:
- The RYPLL indicator was found to be most sensitive to differences between observed and expected deaths.
- RYPLL provides additional insights into health inequalities compared to crude, age-adjusted, and cause-specific proportional mortality rates.
- Comparisons with the past focused on all-cause mortality, while future-oriented assessments included cause-specific mortality.
Conclusions:
- RYPLL is a valuable tool for assessing current health status against past performance and future benchmarks.
- These analytical procedures can aid countries in health priority setting, surveillance, and health service evaluation.
- The methods offer a comprehensive approach to understanding and addressing preventable mortality and associated health inequalities.
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