Dr. Hiba Elzaki, Assistant Professor at Gulf Medical University, Ajman, UAE
Describe differences between various mortality measures.
Compare applications of each measure of mortality.
Mortality statistics are a key health indicator.
Coverage of birth and death registration varies globally.
Vital statistics registration (birth and death records)
National surveys
Specific health surveys
Hospital records
Notification of diseases
Indicates overall health status of a population.
Identifies leading causes of death and mortality patterns.
Monitors and assesses health program impacts.
Definition: Frequency of death occurrence in a defined population over a specified time period.
Formula:
Deaths occurring during a given time period x 10
Size of the population among which the deaths occurred.
Common denominators: 1,000 and 100,000.
Crude Death Rates
Specific Death Rates
Definition: Number of deaths from all causes within a population over a year.
Formula: No. of deaths x 10
Mid-year population.
Total deaths = 2,419,921
Estimated population = 290,809,777
Calculation: CDR = (2,419,921 / 290,809,777) x 100,000 = 832.1 deaths per 100,000 population.
Measures population decrease due to deaths.
Provides rough risk of dying for the population.
Useful for year-to-year comparisons in the same area.
Cannot compare populations with different age structures.
Statistical techniques adjust rates to correct for age distribution differences.
Results in age-adjusted mortality rates for accurate comparisons.
Cause-specific death rate: Death rate attributed to a specific cause.
Age-specific death rate: Death rate in a specific age group.
Includes neonatal, infant, maternal mortality rates and case fatality rates.
Defined: Mortality rate from a specified cause in a population.
Calculation: Number of deaths attributed to a specific cause
Midpoint population size, expressed per 100,000.
Total deaths from accidents = 108,256
Result: Cause-specific mortality rate = 37.2 per 100,000 population.
Definition: Number of medically certified deaths due to a specific disease in a year.
Calculation: No of deaths x 10
Mid-year population of the same year.
Definition: Total deaths in a specific age/sex group during a defined period
Population of same group in the same area.
Provides insights on mortality risks in specific demographic groups.
Limited to a particular age group.
Calculation: Number of deaths in age group
Number of persons in that age group.
Example: 130,761 deaths among 25-44-year-olds results in a mortality rate of 153.0 per 100,000.
Definition: No of deaths under one year of age in a year
Number of live births in the same year.
Importance: IMR reflects overall health conditions and is affected by maternal health, quality of healthcare, socioeconomic conditions, and public health practices.
Calculation: Number of deaths under 28 days of age during a year
Live births during the same year.
Definition: Deaths among women during pregnancy, delivery, or within 42 days of pregnancy termination
Live births in the same year.
Proportion of persons with a condition who die from it.
Indicator of the severity of a disease.
Formula: Total deaths from disease
Total cases of the disease x 100.
Epidemic of hepatitis A: 555 cases, 3 deaths.
Calculation: Case-fatality rate = (3 / 555) x 100 = 0.5%.
Data Quality: Inaccuracies can result in biased outcomes.
Population Changes: Aging demographics can lead to misleading CDRs.
External Factors: Various socio-economic and environmental factors can influence mortality.
Under-reporting of deaths.
Inaccuracies in death certification due to lack of medical facilities and large unreported deaths.
Access to healthcare and quality of services.
Socioeconomic conditions and living standards.
Public health interventions and policies.
Environmental factors and lifestyle choices.
Genetic predispositions and demographics.
Mortality measures serve as essential public health tools.
Timely and accurate data is crucial for effective interventions.
Addressing limitations is vital for better data quality and interpretation.