Overall performance

Of one’s 2,982 surveys/availableness rules transmitted, 497 had been eligible for the research. This new reaction speed is 16.7% (response rates regarding outpatient care 14.6%, response price away from healthcare facilities 18.1% and you can response speed from nursing facilities sixteen.0%). Since the merely n = 30 nurses out-of hospitals participated, they were excluded of investigation research. Immediately after studies tidy up, the past quantity of members is letter = 437.

Detailed performance

Might functions of your studies society are shown during the Desk dos. The typical chronilogical age of the newest nurses is actually 42.8 years, and you may 388 (89.6%) were females. In total, 316 nurses replied issue exactly how much working day it spend looking after palliative customers. Sixteen (5.1%) nurses claimed investing virtually no time handling palliative patients, 124 (39.2%) nurses stated ranging from step 1% so you can ten%, 61 (%) nurses stated ranging from 11% so you’re able to 20% and you can 115 (36.4%) nurses reported using over 20% of its working going back to taking good care of palliative people. Approximately one to-3rd (n = 121, twenty-seven.7%) of the nurses within this study did not address so it matter . One hundred seventeen (29.5%) nurses claimed 4 or even more diligent deaths, 218 (54.9%) claimed 1 to three patient fatalities and 62 (fifteen.6%) said 0 patient deaths during the last month.

Desk step three gift suggestions the newest indicate thinking and you may fundamental deviations of the scales ‘quantitative demands’, ‘burnout’, plus the resource balances ‘meaning of work’ and you may ‘place of work commitment’. The bills attained a suitable level of inner feel.

Bivariate analyses

There’s a strong positive correlation between your ‘quantitative demands’ and you will ‘burnout’ balances (roentgen = 0.498, p ? 0.01), and you will a tiny bad correlation anywhere between ‘burnout’ and you will ‘meaning of work’ (roentgen = -0.222, p ? 0.01) and you will ‘place of work commitment’ (r = -0.240, p ? 0.01). Regarding your first and you will jobs-associated properties of your own shot found into the Dining table 2, ‘burnout’ is rather related to ‘the quantity out-of palliative care’ (? 20% in the office big date: n = 199, M = , SD = ; > 20% working time: n = 115, Meters = , SD = , t(312) = -step three.261, p = 0.001). Additionally, there is a serious feeling about your ‘number of patient fatalities over the past month’ (F (dos, 393) = 5.197, p = 0.006). The imply of one’s burnout rating are lower getting nurses revealing no patient fatalities over the past times than for nurses reporting five or maybe more fatalities (letter = 62, M = , SD = in the place of n = 116, Yards = , SD = ). There is certainly no organization between ‘quantitative demands’ and you may a keen ‘most certification when you look at the palliative care’ (no qualification: letter = 328, M = , SD = ; extra degree: n = 103, Yards = , SD = , p = 0.559).

New relationship ranging from ‘burnout’ additionally the analyzed (categorical) financing details is presented inside the Table 4. Nurses mostly had a lesser worth for the ‘burnout’ measure when revealing various resources. Precisely the info ‘family’, ‘religiosity/spirituality’, ‘gratitude from patients’, ‘recognition due to people/relatives’ and an ‘more certification in palliative care’ weren’t regarding the ‘burnout’.

Moderator analyses

In total, 16 moderation analyses were conducted. Table 5 presents the results of the moderation analyses where a significant moderation was found. For ‘workplace commitment’, there was a positive and significant association between ‘quantitative demands’ and ‘burnout’ (b = 0.47, SE = 0.051, p < 0.001). An increase of one value on the scale ‘quantitative demands' increased the scale ‘burnout' by 0.47. ‘Workplace commitment' was negatively related to ‘burnout', meaning that a higher degree of ‘workplace commitment' was related to a lower level of ‘burnout' (b = -0.11, SE = 0.048, p = 0.030). A model with the interaction term of ‘quantitative demands' and the resource ‘workplace commitment' accounted for significantly more variance in ‘burnout' than a model without interaction term (?R 2 = 0.021, p = 0.004). The impact of ‘quantitative demands' on ‘burnout' was dependent on ‘workplace commitment' (b = -0.01, SE = 0.002 p = 0.004). The variables explained 31.9% of the variance in ‘burnout'.