Table 4 Recommended characteristics for inclusion in an evaluation framework for injury surveillance systems
From: The development of an evaluation framework for injury surveillance systems
| Â | EFISS characteristics |
|---|---|
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. |