Related Experiment Videos
A systematic review of discharge coding accuracy
S E Campbell1, M K Campbell, J M Grimshaw
1University of Aberdeen, Woodend Hospital.
Journal of Public Health Medicine
|October 5, 2001
Summary
UK hospital discharge statistics show high coding accuracy, particularly for operations and procedures. However, users must acknowledge potential inaccuracies in routine data for planning and research. Further improvements are needed.
Area of Science:
- Health Services Research
- Medical Informatics
- Public Health Data
Background:
- Routine UK hospital statistics are used for patient classification upon discharge.
- The accuracy of these statistics is crucial for reliable health data analysis.
Purpose of the Study:
- To systematically review literature on the accuracy of UK hospital discharge statistics.
- To assess the reliability of coded patient data against original medical records.
Main Methods:
- Conducted a systematic review of 21 studies comparing discharge statistics with medical records.
- Performed qualitative and descriptive analyses, including factor comparisons for coding accuracy variation.
Main Results:
- Median coding accuracy was 91% for diagnoses and 69.5% for procedures in England/Wales; 82% for diagnoses and 98% for procedures in Scotland.
- Accuracy rates were higher for older ICD7 codes (96.5%) compared to ICD8 (87%) and ICD9 (77%).
- No significant differences in accuracy were found over time or by code type.
Conclusions:
- Overall coding accuracy in UK hospital statistics is high, especially for procedures.
- Policymakers, planners, and researchers must consider data inaccuracies.
- Further research is recommended to enhance and maintain coding accuracy.