Table 4.
Independent variables | Dependent variables | ||||
---|---|---|---|---|---|
Methods used in solving ethical problem a | |||||
Discussion and deliberation | Use of outside experts | Written instructions and ethical principles | Acts and degrees | Work arrangements | |
beta (SE) | beta (SE) | beta (SE) | beta (SE) | beta (SE) | |
Participating in education concerning ethics in last 2 years | |||||
Yes | 0.12 (0.05) | – | – | – | – |
No b | 0 | – | – | – | – |
p c | 0.0088 | – | – | – | – |
Age | 0.007 (0.003) | – | 0.008 (0.004) | 0.01 (0.004) | 0.01 (0.004) |
p c | 0.0167 | – | 0.0430 | 0.0117 | 0.0053 |
Sum score of work-related background factors | 0.09 (0.04) | 0.16 (0.07) | – | – | – |
p c | 0.0410 | 0.0187 | – | – | – |
Frequency of ethical problems related to patients d | – | – | – | – | −0.15 (0.07) |
p c | – | – | – | – | 0.0450 |
Frequency of ethical problems related to nursing staff4) | 0.14 (0.05) | – | – | 0.35 (0.08) | 0.24 (0.09) |
p c | 0.0131 | – | – | <.0001 | 0.0085 |
Frequency of ethical problems related to organisation d | – | – | – | – | −0.14 (0.06) |
p c | – | – | – | – | 0.0298 |
Difficulty of ethical problems related to organisation e | – | – | – | 0.10 (0.05) | 0.13 (0.04) |
p c | – | – | – | 0.0490 | 0.0029 |
Frequency of ethical problems related to other professional groups d | – | – | – | – | 0.24 (0.08) |
p c | – | – | – | – | 0.0027 |
Difficulty of ethical problems related to other professional groups e | 0.09 (0.03) | – | – | – | |
pc | 0.0040 | – | – | – | |
Frequency of ethical problems related NM her/himself d | −0.15 (0.04) | – | −0.18 (0.06) | −0.23 (0.07) | − 0.14 (0.06) |
p c | 0.0010 | – | 0.0022 | 0.0006 | 0.0234 |
100 x R2 (%) | 19.1 | 2.6 | 7.2 | 12.9 | 13.9 |
p f | <.0001 | 0.0187 | 0.0005 | <.0001 | <.0001 |
Empty cell (−): No significant association.
SE Standard error.
ausefulness 1 = useless, 4 = very useful
breference category
csignificance of the independent variable
dfrequency 1 = never, 5 = daily
edifficulty, 1 = very easy, 5 = very difficult
fsignificance of the multivariate regression model