Table 4.
Respondents’ agreement with statements reflecting common perceptions on sedation scales
| Total, % ( n ) a | Physicians, % ( n ) b | Nurses, % ( n ) c | P value d | |
|---|---|---|---|---|
| Effects | ||||
| They make it possible to communicate better on the basis of objective numbers | 86 (752) | 91 (278) | 84 (474) | 0.001 |
| They make it possible to make sedation practices consistent | 84 (722) | 92 (278) | 80 (444) | <0.001 |
| They restrict physicians’ autonomy | 17 (145) | 14 (42) | 19 (103) | 0.047 |
| They give nurses more autonomy | 73 (634) | 82 (247) | 68 (387) | <0.001 |
| They enhance the nurses’ role | 72 (601) | 84 (249) | 66 (352) | <0.001 |
| They help to monitor the prescription of sedatives by physicians | 48 (419) | 52 (156) | 47 (263) | 0.098 |
| They help to monitor the administration of sedatives by nurses | 73 (634) | 83 (252) | 68 (382) | <0.001 |
| They help to monitor costs | 38 (318) | 54 (160) | 29 (158) | <0.001 |
| They are useful for physicians | 85 (740) | 94 (285) | 80 (455) | <0.001 |
| They are not useful for nurses | 9 (80) | 9 (27) | 9 (53) | 0.504 |
| Uses | ||||
| Using them influences the prescription of sedatives by physicians | 77 (669) | 89 (274) | 70 (395) | <0.001 |
| Using them influences the administration of sedatives by nurses | 74 (640) | 86 (266) | 67 (374) | <0.001 |
| Using them is beneficial for the patient | 96 (848) | 97 (300) | 96 (548) | 0.302 |
| I can measure the level of sedation without using them | 54 (455) | 59 (173) | 51 (282) | 0.014 |
| They are too complex for everyday use | 10 (82) | 16 (47) | 6 (35) | <0.001 |
| It doesn’t take much time if you use them every day | 85 (724) | 85 (251) | 85 (473) | 0.537 |
| I don’t know any | 7 (56) | 9 (24) | 6 (32) | 0.106 |
Responses were provided in the form of a six-point Likert scale (‘Strongly disagree’, ‘Disagree’, ‘Inclined to disagree’, ‘Inclined to agree’, ‘Agree’, ‘Strongly agree’). The positive answers (‘Inclined to agree’, ‘Agree’, ‘Strongly agree’) were compiled in a one-and-only category and results are presented in the table. aNumber does not total 898 because not all respondents answered each item. bNumber does not total 323 because not all respondents answered each item. cNumber does not total 575 because not all respondents answered each item. dCalculated using the chi-square test.