Using e-health in perioperative care: a survey study investigating shortcomings in current perioperative care and possible future solutions

Table 1 Comparison of participants and non-participants

Variable	Participants (n = 207)	Non-participants (n = 155)	P-value
Gender
Male	56 (27.1%)	47 (30.2%)	0.50
Female	151 (72.9%)	108 (69.7%)
Age
(mean, sd)	46.59 (13.39)	39.57 (12.52)	0.00
SES
(mean, sd)	0.64 (1.05)	0.64 (1.18)	0.53
BMI
n = 340	n = 200	n = 140	0.89
(mean, sd)	27.43 (15.12)	27.78 (18.12)
ASA classification
n = 279	n = 171	n = 108	0.53
ASA 1	80 (46.8%)	58 (53.7%)
ASA 2	82 (48.0%)	39 (36.1%)
ASA 3	7 (4.1%)	10 (9.3%)
ASA 4	2 (1.2%)	1 (0.9%)
Intoxications†
n = 322	n = 194	n = 128	0.26
Yes	105 (54.1%)	64 (47.8%)
No	89 (45.9%)	70 (52.2%)
Type of surgery
Gynecological	107 (51.7%)	60 (38.7%)	0.01
Surgical	100 (48.3%)	95 (61.3%)
Major complications during or after surgery^a
Yes	9 (4.3%)	7 (4.5%)	0.94
No	198 (95.7%)	148 (95.5%)

Data are presented as frequencies and percentages, unless otherwise stated. The values that differ significantly are highlighted in bold
SD standard deviation, SES Social Economic Status, Scores are based on geographic location, BMI Body Mass Index, ASA American Society of Anesthesiologists classification
† Defined as: Any current use of alcohol, tobacco and/or drugs
^aDefined as: Conversion to an open procedure, re-surgery within 30 days, injury of the bladder, intestine or liver during surgery, or drainage of an abscess after surgery

ISSN: 1471-2482