Guide: assessing and adjusting data quality
These tools are primarily analytic tools that seek to assess, adjust or improve data quality.
To improve quality of reporting of pregnancy-related death
Approach:
Requires:
- Modification of death notification form to ask about pregnancy related deaths
To identify additional pregnancy-related deaths
Approach:
Requires:
- Recorded births
- Recorded deaths of women of reproductive age
- Identifier for linkage
To systematically identify facility-based maternal deaths
Approach:
Requires:
- Registers and records of maternal deaths in facilities
To estimate (and adjust) coverage of pregnancy-related or maternal deaths
Approach:
Requires:
- Two independent sources of pregnancy-related or maternal deaths
Requires:
- Two independent sources of deaths
Approach:
- Growth Balance
- Preston-Coale
Requires:
- Distributions of population by age and deaths by age; or
- Two census populations by age and intercensal deaths (vital registration); or
- detailed ages at death and a growth rate
Approach:
- Bennett-Horiuchi Method
- Courbage and Fargues
Requires:
- Two census populations by age and intercensal deaths (vital registration); or
- Deaths by age and a model lifetable
- Parity to Cumulated Fertility (P/F) Ratios
- Arriaga Technique
Requires:
- Average number of children ever born to women by age
- Births in the year preceding the survey
- Similar data for more than one date
To estimate births in a census or survey
Approach:
Requires:
- Population age distribution
- Birth histories of numbers of children ever born and surviving