Data quality characteristics |
Five characteristics were identified to assess the data quality of an injury surveillance system, including: data completeness, sensitivity, specificity, positive predictive value, and representativeness. |
Operational characteristics |
Nine characteristics were identified to assess the operation of an injury surveillance system, including: system purpose and objectives, data collection process, case definitions, timeliness, quality control measures, data confidentiality, individual privacy, system security, and uniform classification systems. |
Practical characteristics |
Four characteristics were identified to assess the practical capability of an injury surveillance system, including: data accessibility, routine data analysis, guidance material to aid interpretation, and usefulness. |