The importance of data quality
Improving quality and presentation of civil registration and vital statistics data
The other topics in the Learning Centre have focused on the systems and processes that need to be in place to collect information on births, deaths and causes of death.
However, data collection is not an end in itself. The data must be used to improve the health and wellbeing of people, and to support social and economic development. This module discusses several key actions that can be taken to check data quality and increase data utility.
In the five sections that make up this topic, several basic checks of data quality are presented to help ensure accuracy and reliability of both the individual and compiled records, and advice is provided on how to tabulate, communicate, present and disseminate data.
This topic highlights some common issues and challenges in the data outputs of CRVS systems and proposes some ways to improve the quality of vital statistics and country capacity for generating them. The subject matter is divided into the following modules:
- The importance of data quality
- Checking the accuracy of vital events records
- Methods and tools to evaluate the quality of vital statistics
- Tabulation and generation of vital statistics for policy
- Presentation, communication and dissemination of the data (including a sample vital statistics report).
The five sections can be read independently, but all are concerned with improving quality.
Outcomes of improving death data in Solomon Islands
Strengthening CRVS in Solomon Islands is a challenge because data, especially death data, have never been collected before in an organised manner. Only two percent of all estimated deaths are registered in the country. Dilip Hensman, Technical Officer, World Health Organization explains. Watch Dilip describe the barriers to death notification in the Solomon Islands: https://youtu.be/9F4ntk7xtCk