What are the Challenges in Ensuring High-Quality Data?

Several challenges can compromise data quality, including:

- Underreporting: Not all cases of a disease may be reported, leading to incomplete data.
- Misclassification: Errors in categorizing diseases or risk factors can lead to invalid data.
- Data Fragmentation: Data collected from multiple sources may not be integrated, leading to inconsistencies.
- Privacy Concerns: Ensuring patient confidentiality can sometimes limit the availability of detailed data.
- Resource Limitations: Lack of funding or trained personnel can hinder proper data collection and analysis.