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Vital Statistics and Data Management for Evidence Health Situation and Trend Assessment. Workshop on Civil Registration and Vital Statistics in UNESCWA Region, Cairo, Egypt, 3-6 December 2007 By Dr Samuel Mikhail EMRO/WHO. Content. Introduction vital statistics
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Workshop on Civil Registration and Vital Statistics in UNESCWA Region, Cairo, Egypt, 3-6 December 2007
Dr Samuel Mikhail
– inter-UN organizations
Introduction:- Policies and programmes to combat diseases and injuries should be based on current information about he nature and extent of health problems, their determinants, and how the impact of such diseases and injuries is changing, both with respect to magnitude and distribution in populations. - priorities for health research should, in part at least, be based on a thorough assessment of the relative importance of various diseases and injuries affecting the population\'s health
- commonly used data for meeting these needs, and related needs for health policy, are statistics on the number of people who die, by age and sex, and on the causes of those deaths, classified according to a standard set of medical criteria. - Almost all countries have legislation that establishes vital registration systems to collect and collate statistics on who dies from what cause.. - Indeed, such systems are still inoperative for a large proportion of the world\'s population, especially in countries with high burdens of disease.- There\'s a lack of information on causes of death in many developing countries nevertheless Eastern Mediterranean Region countries, which draw the attention for the urgent need of the WHO and other international health agencies to take a lead in redressing this situation.
Ministry of Health
Technical Units (programs)
Refined data with priority for Technical Unit data
Resent for approval
Regional Health Database
Final data revised and approved by countries
Country profiles & different reportsThe current level of existence and functioning of the country\'s / EMRO systemData Pooling
Monitoring progress: appropriate use of health statistics- For monitoring, it is important to distinguish between corrected and predicted statistics. - Corrected statistics use adjustments made for known biases and, if needed, are based on a systemic reconciliation of data from multiple sources using established, transparent methods.- This mismatch was created partly by the demand for more timely statistics and partly by the lack of data and good measurement strategies for certain statistics.- It is crucial for the international community to invest in data collection and use indicators that are valid, reliable and comparable - the international community must also have well-defined measurement strategies for monitoring progress and evaluating health programmes.
Barriers and constraints:-In many countries and programs; definitions, classifications and method of calculation do not entirely conform to the WHO or international standards.- People (even in statistical offices) still mix between year of estimate and year of reporting. - Delay of reporting the updated and published data either from some countries or UN technical units.- Many countries impose upon the indicators figures by using the same figures which were implied for many years ago for updating recent years.- Countries generally derive their estimates from reported services which are not always available and accurate.- Most countries do not cover the data on various types of government and private health services.
- Some countries derive these data from survey, but since survey questions and definitions differ across countries, the estimate may not strictly comparable. - Most countries do not cover the data on various types of government and private health services.- Several figures related to the same indicator for the same year reported in different values and/or previous values.- Some figures reported from country to various regional office units with different values.- Consistency of the data in some indicators is questionable as it is published by several MOH units with different figures on the same dates.
The aims of the unification of database:
- and vital statistic variables need to be chosen. Without these norms there will remain an inconsistency and incomparability between the national registration systems.
- Without comparability, national systems will loose out on shared experiences to built and improve upon. The system will just be a system of the nation without possible global interaction.