Table 4 |
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|
Changes in ICD codes for underlying causes of hospital deaths in study sample by province, based on review by central team of expert coders. |
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|
Coding review |
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|
|
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|
Province |
MR Review |
Incorrect code a (%) |
Disagreement b (%) |
Changed code (%) |
|
|
||||
|
Ubolrajthani |
606 |
11.1 |
1.8 |
12.9 |
|
Leoi |
187 |
42.8 |
4.8 |
47.6 |
|
Chiang Rai |
477 |
14.3 |
2.1 |
16.4 |
|
Payow |
156 |
25.0 |
6.4 |
31.4 |
|
Supanburi |
540 |
16.1 |
3.0 |
19.1 |
|
Nakhon Nayok |
197 |
14.7 |
8.6 |
23.4 |
|
Songkhla |
417 |
13.7 |
2.9 |
16.5 |
|
Chumpon |
116 |
19.8 |
3.4 |
23.3 |
|
Bangkok |
620 |
3.7 |
2.4 |
6.1 |
|
Total |
3316 |
14.3 |
3.1 |
17.4 |
|
|
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|
a Incorrect - Change in ICD code at 3 or 4 character level, but no change at Mortality Tabulation List 1 level of aggregation b Disagreement - Change in ICD code resulting in change at Mortality Tabulation List 1 level of aggregation |
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|
Pattaraarchachai et al. Population Health Metrics 2010 8:12 doi:10.1186/1478-7954-8-12 |
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