2024-11-10
News
Enhancing Data Quality: Key Observations and Solutions
Recent efforts have been focused on improving data quality in areas such as pregnancy observation, pregnancy outcomes, death registration, household deaths, out-migration, and visit records. These aspects are crucial for accurate data collection and analysis.
To address common errors in these areas, experts emphasize the importance of understanding questionnaires thoroughly. Proper comprehension is essential to ensure that data collectors can accurately record information, minimizing discrepancies and enhancing the overall quality of the data.
By prioritizing these solutions, stakeholders can commit to collecting high-quality data that accurately reflects the realities of the community. Continuous training and adherence to best practices will help ensure that data collection processes are efficient and reliable.
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2024-11-10
News
Data Quality Training
The recent data quality training was conducted by Mr. Teferi Mokonnen. This training focused on various issues related to data quality during fieldwork, specifically concerning inconsistencies in pregnancy outcomes, death registration, and the correction of errors in death date calculations. Key topics included:
Inconsistencies in age at death
Out-migration discrepancies related to age and reasons for migration
Relationships between age, marital status, and occupation
Changes in marital status related to age
Age and grade completion inconsistencies
Issues relating to household head and visitation records
Mr. Teferi Mokonnen emphasized the importance of reducing common errors during data collection. He advised participants to thoroughly understand the questionnaires, check tablet data carefully, and avoid rushing through the data collection process.
Additionally, a refresher training session was provided on baseline registration and event (visit) reg…
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