Table 1 |
|||
|
Ranking of research areas in order of importance for administrative data research |
|||
|
Project |
Mean score |
Number of raters |
Priority Rank |
|
|
|||
|
Meta-Data documentation |
8.4 |
10 |
1 |
|
Patient safety indicators translation |
8.0 |
10 |
2 |
|
Internal consistency algorithms |
7.0 |
10 |
3 |
|
Interventional studies to enhance coding quality |
6.9 |
10 |
4 |
|
"True" gold standard |
6.8 |
10 |
5 |
|
Travelling coders for comparative recoding |
6.8 |
9 |
5 |
|
Training standards for health records coders |
6.4 |
10 |
7 |
|
International comparisons of predictive model performance (C-statistic) |
6.2 |
10 |
8 |
|
Value of diagnosis-type coding |
6.0 |
9 |
9 |
|
Chart-Database comparison studies |
5.9 |
10 |
10 |
|
International cross-validation of ICD-10 coding algorithms |
5.8 |
10 |
11 |
|
International scan of privacy considerations |
5.6 |
10 |
12 |
|
Learning curve in ICD-10 uptake |
5.0 |
10 |
13 |
|
|
|||
|
De Coster et al. BMC Health Services Research 2006 6:77 doi:10.1186/1472-6963-6-77 |
|||
