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Published on: January 8, 2020
Development of mortality statistics at governmental hospitals, Egypt
Hanan Ali Sayed1, Afaf El Ayyat, Ahmed Ismail
1Public Health Department, Theodor Bilharz Research Institute.
The Journal of the Egyptian Public Health Association
|January 16, 2007
Summary
This study highlights critical data discrepancies in Egyptian mortality statistics. Automating data management and improving cause-of-death reporting are essential for accurate epidemiological research.
Area of Science:
- Public Health
- Epidemiology
- Health Informatics
Background:
- Mortality statistics are vital for epidemiological research, with multiple data sources in Egypt.
- Data quality is compromised by inconsistencies between hospital, health office, and civil register records.
- Existing systems lack automation, leading to transcription errors and data integrity issues.
Purpose of the Study:
- To establish and assess an automated system for mortality data management in a Ministry of Scientific Research hospital.
- To compare the automated system's performance with a non-automated system in a Ministry of Health hospital.
- To evaluate data accuracy, completeness, and consistency across different mortality record sources.
Main Methods:
- System analysis, design, implementation, and evaluation of an automated mortality data management system.
- Review of hospital records, health office registers, and civil office records.
- Personal interviews and comparative analysis of data matching and cause-of-death reporting between two hospitals.
Main Results:
- The automated system at Hospital 1 demonstrated timely data retrieval and reduced transcription errors.
- Data matching between hospital and health office records was significantly higher in Hospital 1 (97.4%) compared to Hospital 2 (50.0%).
- Reporting of specific causes of death was poor in both hospitals (97.4% non-specific in Hospital 1, 29.9% in Hospital 2).
Conclusions:
- Unification and automation of mortality data management systems are crucial for improving data quality.
- Implementing record linkage across different mortality data sources is recommended.
- Enhanced training on reporting and coding the cause of death is necessary for accurate epidemiological surveillance.
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