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Of your own dos,982 surveys/accessibility codes distributed, 497 were eligible for the analysis. New effect price try 16.7% (response speed regarding outpatient care and attention 14.6%, response rates off medical facilities 18.1% and you will effect rate regarding assisted living facilities 16.0%). Just like the only letter = 30 nurses of medical facilities participated, these people were omitted of analysis research. Immediately after analysis cleaning, the past level of professionals is actually n = 437.
Descriptive performance
Might attributes of your analysis population are showed from inside the Dining table dos. The common age the nurses are 42.8 years, and you will 388 (89.6%) was indeed female. As a whole, 316 nurses responded the question simply how much doing work day it invest handling palliative patients. 16 (5.1%) nurses reported paying almost no time caring for palliative customers, 124 (39.2%) nurses claimed ranging from step 1% so you’re able to ten%, 61 (%) nurses said between 11% in order to 20% and you may 115 (thirty-six.4%) nurses stated expenses more 20% of its performing returning to caring for palliative customers. Approximately one-3rd (n = 121, 27.7%) of one’s nurses in this studies don’t respond to this matter. One hundred seventeen (30.5%) nurses claimed 4 or more patient fatalities, 218 (54.9%) stated 1 to 3 diligent fatalities and 62 (fifteen.6%) advertised 0 patient deaths over the last few days.
Dining table 3 merchandise the mean philosophy and you may standard deviations of the balances ‘decimal demands’, ‘burnout’, additionally the financing scales ‘concept of work’ and you will ‘workplace commitment’. All balances reached an appropriate level of internal surface.
Bivariate analyses
There was a powerful positive correlation amongst the ‘decimal demands’ and ‘burnout’ scales (roentgen = 0.498, p ? 0.01), and you can a tiny negative correlation between ‘burnout’ and you can ‘meaning of work’ (r = -0.222, p ? 0.01) and you may ‘office commitment’ (r = -0.240, p ? 0.01). Regarding the first and you will employment-relevant services of your own shot found from inside the Desk dos, ‘burnout’ are significantly about ‘extent out-of palliative care’ (? 20% at the job time: letter = 199, M = , SD = ; > 20% working time: n = 115, M = , SD = , t(step 312) = -step 3.261, p = 0.001). Furthermore, there can be a life threatening impact regarding the ‘quantity of diligent fatalities during the last month’ (F (2, 393) = 5.197, p = 0.006). The latest imply of one’s burnout get is all the way down to have nurses revealing zero patient deaths within the last week than for nurses reporting four or even more fatalities (n = 62, M = , SD = instead of n = 116, Yards = , SD = ). There’s no association anywhere between ‘quantitative demands’ and you will an enthusiastic ‘even more qualification inside the palliative care’ (no certification: letter = 328, M = , SD = xpress ; most qualification: n = 103, M = , SD = , p = 0.559).
This new relationship ranging from ‘burnout’ in addition to examined (categorical) money variables try exhibited during the Table cuatro. Nurses primarily got less well worth on the ‘burnout’ level when revealing individuals information. Only the tips ‘family’, ‘religiosity/spirituality’, ‘gratitude from patients’, ‘identification courtesy people/relatives’ and you will an enthusiastic ‘extra certification into the palliative care’ were not 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'.