| Literature DB >> 30532137 |
Karolina Wesołowska1, Laura Hietapakka1, Marko Elovainio1,2, Anna-Mari Aalto1, Anu-Marja Kaihlanen1, Tarja Heponiemi1.
Abstract
BACKGROUND: A growing body of research indicates that cross-cultural competence in nurses can improve migrant patients' health-related outcomes, but little is known about the potential benefits of cross-cultural competence on the nurses' own well-being.Entities:
Mesh:
Year: 2018 PMID: 30532137 PMCID: PMC6285347 DOI: 10.1371/journal.pone.0208761
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
The Characteristics of the original study sample by nativity status.
| Native nurses | Foreign-born nurses | ||||
|---|---|---|---|---|---|
| Study variables | |||||
| Gender | 743 | 212 | .118 | ||
| Women | 676 (91.0) | 200 (94.3) | |||
| Men | 67 (9.0) | 12 (5.7) | |||
| Age | 744 | 34.52 (8.89) | 212 | 42.03 (9.50) | < .001 |
| Employment sector | 732 | 201 | < .001 | ||
| Municipal (primary care) | 597 (81.6) | 109 (54.2) | |||
| State (hospitals) | 21 (2.9) | 34 (16.9) | |||
| Private and others | 114 (15.6) | 58 (28.9) | |||
| Interacting with patients from different cultures | 735 | 207 | .554 | ||
| Rarely/not at all | 222 (30.2) | 78 (37.7) | |||
| Monthly | 182 (24.8) | 31 (15.0) | |||
| Daily/weekly | 331 (45.0) | 98 (47.3) | |||
| Interacting with colleagues from different cultures | 694 | 206 | < .001 | ||
| Rarely/not at all | 263 (37.9) | 30 (14.6) | |||
| Monthly | 73 (10.5) | 13 (6.3) | |||
| Daily/weekly | 358 (51.6) | 163 (79.1) | |||
| Overall cultural competence | 704 | 3.68 (0.52) | 190 | 3.73 (0.49) | .287 |
| Cross-cultural competence subscales | |||||
| Empathy | 731 | 3.81 (0.76) | 200 | 3.99 (0.81) | .003 |
| Skills | 727 | 4.00 (0.62) | 199 | 4.25 (0.65) | < .001 |
| Positive attitudes | 736 | 2.65 (0.74) | 206 | 2.02 (0.76) | < .001 |
| Motivation | 729 | 3.92 (0.65) | 204 | 4.10 (0.67) | .001 |
| Perceived time pressure | 731 | 3.69 (1.08) | 207 | 3.47 (1.16) | .010 |
| Psychological distress | 736 | 1.92 (0.71) | 209 | 1.99 (0.73) | .281 |
| Sleep problems | 731 | 2.49 (1.10) | 209 | 2.43 (1.24) | .526 |
M = mean; n = number of participants; SD = standard deviation.
* Other employment sectors include universities and other research institutions, medical industry, governmental offices, etc.
The results of the multiple linear regression examining associations of cross-cultural competence with perceived time pressure, psychological distress, and sleep problems (n = 956).
| Predictors | β | 95% CI | Adjusted | ||
|---|---|---|---|---|---|
| Perceived time pressure | |||||
| Model 1 | 4.7 | ||||
| Overall cross-cultural competence | –0.11 | –0.24 | [–0.38, –0.11] | < .001 | |
| Model 2 | |||||
| Empathy | –0.13 | –0.18 | [–0.27, –0.09] | < .001 | 5.0 |
| Skills | –0.08 | –0.13 | [–0.24, –0.02] | .017 | 4.0 |
| Positive attitudes | –0.07 | –0.09 | [–0.18, –0.00] | .041 | 3.8 |
| Motivation | –0.07 | –0.11 | [–0.22, –0.00] | .044 | 3.8 |
| Model 3 | 4.8 | ||||
| Empathy | –0.11 | –0.15 | [–0.26, –0.05] | .004 | |
| Skills | –0.03 | –0.05 | [–0.18, 0.08] | .414 | |
| Positive attitudes | –0.03 | –0.04 | [–0.13, 0.06] | .469 | |
| Motivation | 0.00 | 0.00 | [–0.13, 0.13] | .952 | |
| Psychological distress | |||||
| Model 1 | 1.4 | ||||
| Overall cross-cultural competence | –0.12 | –0.16 | [–0.25, –0.08] | < .001 | |
| Model 2 | |||||
| Empathy | –0.19 | –0.17 | [–0.23, –0.11] | < .001 | 3.5 |
| Skills | –0.07 | –0.08 | [–0.15, –0.00] | .038 | 0.5 |
| Positive attitudes | –0.06 | –0.06 | [–0.12, 0.00] | .066 | 0.4 |
| Motivation | –0.04 | –0.05 | [–0.12, 0.03] | .208 | 0.2 |
| Model 3 | 3.3 | ||||
| Empathy | –0.20 | –0.18 | [–0.25, –0.11] | < .001 | |
| Skills | –0.01 | –0.02 | [–0.10, 0.07] | .714 | |
| Positive attitudes | –0.01 | –0.01 | [–0.07, 0.05] | .776 | |
| Motivation | 0.05 | 0.05 | [–0.03, 0.14] | .216 | |
| Sleep problems | |||||
| Model 1 | 2.2 | ||||
| Overall cross-cultural competence | –0.12 | –0.27 | [–0.41, –0.13] | < .001 | |
| Model 2 | |||||
| Empathy | –0.11 | –0.16 | [–0.26, –0.07] | .001 | 1.9 |
| Skills | –0.09 | –0.17 | [–0.28, –0.05] | .004 | 1.6 |
| Positive attitudes | –0.08 | –0.12 | [–0.21, –0.03] | .012 | 1.3 |
| Motivation | –0.08 | –0.14 | [–0.25, –0.03] | .014 | 1.3 |
| Model 3 | 2.1 | ||||
| Empathy | –0.07 | –0.11 | [–0.21, 0.00] | .056 | |
| Skills | –0.05 | –0.09 | [–0.23, 0.04] | .182 | |
| Positive attitudes | –0.05 | –0.06 | [–0.17, 0.04] | .211 | |
| Motivation | –0.01 | –0.02 | [–0.15, 0.12] | .788 | |
Model 2: each dimension of cross-cultural competence in a separate model. Model 3: all dimensions of cross-cultural competence in the same model. All models adjusted for gender, age, employment sector, and frequency of interacting with patients and colleagues from different cultures. The significance levels presented here are for the unstandardized regression coefficients. b = unstandardized regression coefficient; β = standardized regression coefficient; CI = confidence interval; adjusted R = fraction of explained variance (%) adjusted for the number of predictors in the model.
The results of the structural equation modeling examining associations of cross-cultural competence with perceived time pressure, psychological distress, and sleep problems (n = 877).
| Predictors | 95% CI | ||
|---|---|---|---|
| Perceived time pressure | |||
| Empathy | –0.21 | [–0.37, –0.05] | .010 |
| Skills | –0.06 | [–0.22, 0.09] | .424 |
| Positive attitudes | –0.03 | [–0.16, 0.10] | .641 |
| Motivation | .04 | [–0.17, 0.26] | .702 |
| Psychological distress | |||
| Empathy | –0.23 | [–0.32, –0.14] | < .001 |
| Skills | 0.00 | [–0.08, 0.09] | .978 |
| Positive attitudes | 0.02 | [–0.05, 0.10] | .513 |
| Motivation | 0.06 | [–0.06, 0.18] | .319 |
| Sleep problems | |||
| Empathy | –0.10 | [–0.23, 0.03] | .123 |
| Skills | –0.06 | [–0.19, 0.06] | .319 |
| Positive attitudes | –0.04 | [–0.14, 0.06] | .457 |
| Motivation | 0.01 | [–0.16, 0.18] | .951 |
All models adjusted for gender, age, employment sector, and frequency of interacting with patients and colleagues from different cultures. b = unstandardized regression coefficient; CI = confidence interval.
Fig 1Structural equation model examining the association between cross-cultural competence and perceived time pressure.
Standardized coefficients are reported and the significance levels of paths and covariates presented here are for the standardized regression coefficients. Model adjusted for gender, age, employment sector, and frequency of interacting with patients and colleagues from different cultures. Goodness-of-fit indices: χ2 (243) = 1092.38, p < .001, RMSEA = 0.06, CFI = 0.89, SRMR = 0.06 (index obtained from the estimation of goodness-of-fit of the model tested with the maximum likelihood, n = 820). R2time pressure = 2.4%. * p < .01. ** p < .001.
Fig 3Structural equation model examining the association between cross-cultural competence and sleep problems.
Standardized coefficients are reported and the significance levels of paths and covariates presented here are for the standardized regression coefficients. Model adjusted for gender, age, employment sector, and frequency of interacting with patients and colleagues from different cultures. Goodness-of-fit indices: χ2 (289) = 1167.68, p < .001, RMSEA = 0.06, CFI = 0.89, SRMR = 0.05 (index obtained from the estimation of goodness-of-fit of the model tested with the maximum likelihood, n = 816). R2sleep problems = 1.8%. * p < .001.