|
Potential Bias Associated with Alternative Strategies For Veterans' Mortality Ascertainment * |
||||||
| BIRLS Only Strategy |
Death Certificate Only Strategy |
|||||
|
|
|
|||||
| Cases identified by BIRLS |
Additional cases identified by death certificates |
P-value |
Cases identified by death certificates |
Additional cases identified by BIRLS |
P-value |
|
|
|
||||||
| Number of cases |
6,387 |
2,426 |
8,124 |
689 |
||
|
|
||||||
| Age (years) |
70.86 |
71.15 |
0.8253 |
70.95 |
70.79 |
0.6891 |
|
|
||||||
| Gender |
||||||
| Male |
98 |
97 |
0.2733 |
98 |
98 |
0.8662 |
|
|
||||||
| Race / Ethnicity |
||||||
| White |
57 |
54 |
58 |
31 |
<0.001 |
|
| Black |
12 |
8 |
11 |
6 |
||
| Hispanic |
5 |
5 |
5 |
1 |
||
| Other |
2 |
2 |
2 |
1 |
||
| Missing |
24 |
31 |
<0.001 |
23 |
61 |
|
|
|
||||||
| Marital Status |
||||||
| Married |
46 |
49 |
47 |
45 |
0.0028 |
|
| Single |
16 |
13 |
15 |
16 |
||
| Divorced |
23 |
24 |
23 |
23 |
||
| Widowed |
11 |
12 |
11 |
11 |
||
| Missing |
4 |
2 |
0.0002 |
3 |
6 |
|
|
|
||||||
| State of Residence |
||||||
| California |
92 |
99 |
99 |
38 |
||
| Non-California |
8 |
1 |
<0.001 |
1 |
62 |
<0.001 |
|
|
||||||
| Diagnosis |
||||||
| Cancer |
35 |
32 |
0.0426 |
35 |
17 |
<0.001 |
| CHF |
22 |
19 |
0.0175 |
22 |
7 |
<0.001 |
| COPD |
28 |
24 |
0.0002 |
28 |
11 |
<0.001 |
| ESLD |
6 |
4 |
0.0327 |
6 |
3 |
0.0010 |
| ESRD |
3 |
1 |
<0.0001 |
3 |
0 |
0.001 |
| Dementia |
11 |
11 |
0.9656 |
11 |
3 |
<0.001 |
| HIV |
1 |
1 |
0.1586 |
1 |
0 |
0.0621 |
|
|
||||||
| Complexity Index |
||||||
| 0 |
35 |
37 |
32 |
69 |
||
| 1 |
35 |
39 |
38 |
22 |
||
| 2 |
22 |
18 |
22 |
6 |
||
| 3 |
7 |
5 |
7 |
2 |
||
| 4 |
1 |
1 |
<0.0001 |
1 |
0 |
<0.001 |
|
|
||||||
| Site of Utilization |
||||||
| Any inpatient |
||||||
| Any long term |
45 |
29 |
<0.0001 |
42 |
21 |
<0.001 |
| care |
20 |
12 |
<0.0001 |
19 |
7 |
<0.001 |
| Any outpatient |
95 |
96 |
0.0225 |
95 |
96 |
0.1218 |
|
*Findings are expressed as proportions unless otherwise identified. P-values reflect Wilcoxon two-sided probabilities for continuous variables and chi-square for categorical variables. Categorical tests reflect tests for differences including missing. | ||||||
Lorenz et al. Population Health Metrics 2005 3:2 doi:10.1186/1478-7954-3-2 |
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