Table 2.
Comparison of the characteristics and the rates of surviving to hospital discharge
| Stories on the Internet (n = 237) | p value a | Patients on the Internet (n = 55) | p value b | Patients (n = 83) | p value c | Patients in newspapers (n = 60) | p value d | Stories in newspapers (n = 182) | |
|---|---|---|---|---|---|---|---|---|---|
|
Age
e
|
33.37 ± 21.62 |
0.71 |
34.65 ± 23.75 |
0.47 |
31.68 ± 22.72 |
0.63 |
29.88 ± 21.31 |
0.73 |
28.75 ± 21.75 |
|
Length of ECMO use by day
f
|
15.66 ± 26.95 |
0.34 |
11.66 ± 18.79 |
0.74 |
10.57 ± 16.08 |
0.55 |
12.37 ± 17.95 |
0.86 |
12.87 ± 18.91 |
|
Length of ICU stay by day
g
|
16.90 ± 16.91 |
0.70 |
15.64 ± 17.55 |
0.60 |
13.67 ± 15.80 |
0.93 |
13.36 ± 13.83 |
0.75 |
14.21 ± 14.04 |
|
Length of hospital stay by day
h
|
38.69 ± 50.61 |
0.64 |
43.13 ± 64.68 |
0.60 |
36.86 ± 56.41 |
0.57 |
31.49 ± 36.88 |
0.97 |
31.72 ± 38.19 |
|
Gender
i
|
|
0.51 |
|
0.53 |
|
0.55 |
|
0.95 |
|
| Male |
146 (63.76%) |
|
35 (68.63%) |
|
50 (63.29%) |
|
35 (58.33%) |
|
107 (58.79%) |
| Female |
83 (36.24%) |
|
16 (31.37%) |
|
29 (36.71%) |
|
25 (41.67%) |
|
75 (41.21%) |
|
Hospital location |
|
0.22 |
|
0.34 |
|
0.99 |
|
0.98 |
|
| Urban |
190 (80.17%) |
|
40 (72.73%) |
|
54 (65.06%) |
|
39 (65%) |
|
118 (64.84%) |
| Rural |
47 (19.83%) |
|
15 (27.27%) |
|
29 (34.94%) |
|
21 (35%) |
|
64 (36.16%) |
|
Level of hospital
j
|
|
0.12 |
|
0.55 |
|
0.90 |
|
0.69 |
|
| Medical center |
168 (70.89%) |
|
33 (60%) |
|
45 (54.88%) |
|
33 (55.93%) |
|
106 (58.89%) |
| Non-medical center |
69 (29.11%) |
|
22 (40%) |
|
37 (45.12%) |
|
26 (44.07%) |
|
74 (41.11%) |
|
Primary reason for ECMO use |
|
0.43 |
|
0.89 |
|
0.95 |
|
0.99 |
|
| Cardiac |
127 (53.59%) |
|
26 (47.27%) |
|
40 (48.19%) |
|
30 (50%) |
|
93 (51.10%) |
| Pulmonary |
95 (40.08%) |
|
23 (41.82%) |
|
32 (38.55%) |
|
23 (38.33%) |
|
68 (37.36%) |
| Others |
15 (6.33%) |
|
6 (10.91%) |
|
11 (13.25%) |
|
7 (11.67%) |
|
21 (11.54%) |
|
Status at hospital discharge |
|
0.31 |
|
0.28 |
|
0.68 |
|
0.48 |
|
| Alive |
199 (83.97%) |
|
43 (78.18%) |
|
58 (69.88%) |
|
40 (66.67%) |
|
112 (61.54%) |
| Dead | 38 (16.03%) | 12 (21.82%) | 25 (30.12%) | 20 (33.33%) | 70 (38.46%) |
Abbreviations list:ECMO extra-corporeal membrane oxygenation, ICU intensive care unit.
Interpretations of “Status at hospital discharge”: 58 (69.88%) patients survived to hospital discharge, and 43 (78.18%) patients on the Internet survived to hospital discharge. The p value (0.28) is not significant; 43 (78.18%) patients on the Internet survived to hospital discharge, and 199 (83.97%) stories on the Internet survived to hospital discharge. The p value (0.31) is not significant.
aThe p value of the comparisons between stories on the Internet (n = 237) and patients on the Internet (n = 55).
bThe p value of the comparisons between patients on the Internet (n = 55) and patients (n = 83).
cThe p value of the comparisons between patients (n = 83) and patients in newspapers (n = 60).
dThe p value of the comparisons between patients in newspapers (n = 60) and stories in newspapers (n = 182).
e“Age”: stories on the Internet = 6 missing values; patients on the Internet = 3 missing values; patients = 3 missing values.
f“Length of ECMO use by day”: stories on the Internet = 20 missing values; patients on the Internet = 8 missing values; patients = 11 missing values; patients in newspapers = 5 missing values; stories in newspapers = 9 missing values.
g“Length of ICU stay by day”: stories on the Internet = 92 missing values; patients on the Internet = 22 missing values; patients = 35 missing values; patients in newspapers = 24 missing values; stories in newspapers = 66 missing values.
h“Length of hospital stay by day”: stories on the Internet = 71 missing values; patients on the Internet = 15 missing values; patients = 20 missing values; patients in newspapers = 13 missing values; stories in newspapers = 28 missing values.
i“Gender”: stories on the Internet = 8 missing values; patients on the Internet = 4 missing values; patients = 4 missing values.
j“Level of hospital”: patients = 1 missing value; patients in newspapers = 1 missing value; stories in newspapers = 2 missing values.