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Quality assurance and assessment in the vital statistics system

Quality assurance and assessment in the vital statistics system. Basic framework. Quality assurance and quality assessment are critical components of Managing Operating, and Maintaining vital statistics system based on civil registration Elements of quality assurance

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Quality assurance and assessment in the vital statistics system

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  1. Quality assurance and assessment in the vital statistics system

  2. Basic framework • Quality assurance and quality assessment are critical components of • Managing • Operating, and • Maintaining vital statistics system based on civil registration • Elements of quality assurance • All vital events are registered without duplication • All related information is recorded • Information is compiled, validated and processed • Vital statistics are released in timely manner

  3. Basic framework (continued) • Quality assessment • Ad hoc and regular exercises assessing the quality of the system • Coverage of civil registration • Accuracy of variables • Overall functioning of the sub-systems

  4. Standards • Quality assurance standards refer to • Completeness • Every vital event is registered • Statistical report for every registered event is properly filed • Coverage error • Correctness / accuracy • No response errors • No missing items • Content error • Availability • Statistics are available to users in a friendly format • Timelines • For civil registration, refers to timely recording of vital events • For vital statistics, refers to as prompt dissemination as possible

  5. Quality assessment methods • Direct methods • Matching of records • Indirect methods • Demographic techniques

  6. Direct methods • Matching records from civil registration with independent sources • Birth registration match with death registration (infants deaths) • Use of administrative records • Use of list for population censuses • Dual record system • A special survey and civil registration records • Three classes – in both, in one but not the other, and in the other way around – possible to compute those missed in both

  7. Indirect methods • Comparison of trends • Delayed registration • Proportion of delayed registration provides a measure of underreporting • Comparison with census data • Comparison of rates • Indirect techniques • Manual X and its update • Question in sample surveys on birth registration

  8. Direct methods • Advantages • Generally produce more accurate assessment • Can be applied at lower geographical levels • Limitations • Independency of the other source – difficult to secure • In case of dual-records methods securing two independent sources practically impossible • Matching can be difficult without PIN • Costs, time

  9. Indirect methods • Advantages • Prompt assessment - as soon as statistics are out • At any level • Limitations • Based on assumptions that may not apply in a specific circumstance (stable population, for example) • If stable population is not in the assumption, detailed statistics from two subsequent censuses are require – not always available

  10. Choosing the appropriate method • Objectives • Degree of precision • Timeliness • Type of event • Resources

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