Assessing primary care data quality

Area of Science:

• Health Services Research
• Data Quality Management
• Primary Health Care

Background:

• Assessing data quality is crucial for reliable health services research.
• Limited studies focus on primary care data quality in developing nations.
• National Medical Care Survey data quality requires evaluation.

Purpose of the Study:

• To evaluate the data quality of the National Medical Care Survey.
• To identify areas for improvement in primary health care data collection.
• To provide practical approaches for enhancing data quality in resource-limited settings.

Main Methods:

• Analysis of data completeness and representativeness for all observations.
• Assessment of other data quality measures on a 10% sample (12,569 records) from the survey database.
• Inclusion of records from 189 public and private primary care practices.

Main Results:

• Data field completion ranged from 69% to 100%.
• Error rates for data transfer (paper to web) varied from 0.5% to 6.1%.
• Diagnosis and clinical process coding errors were higher than medication coding errors; free text fields were more error-prone than menu selections.

Conclusions:

• Primary care data completeness, accuracy, coding reliability, and representativeness were generally good.
• Data timeliness emerged as an area needing significant improvement.
• Findings offer practical strategies for enhancing primary health care data quality, particularly in developing countries.