| Literature DB >> 24790565 |
Li Yang1, Dan Cui2, Xuemei Zhu1, Qiuli Zhao1, Ningning Xiao1, Xiaoying Shen1.
Abstract
BACKGROUND ANDEntities:
Mesh:
Year: 2014 PMID: 24790565 PMCID: PMC3982287 DOI: 10.1155/2014/391714
Source DB: PubMed Journal: ScientificWorldJournal ISSN: 1537-744X
Characteristics of research participants (N = 68).
| Variable |
| %/SD |
|---|---|---|
| Gender | ||
| Female | 67 | 98.5 |
| Male | 1 | 1.5 |
| Mean age (years) | 39.88 | 5.57 |
| Age categories | ||
| ≤40 | 40 | 58.8 |
| >40 | 28 | 41.2 |
| Education | ||
| Bachelor degree | 44 | 64.7 |
| Master degree | 24 | 35.3 |
| Job experience (years) | 19.68 | 6.56 |
| Job experience categories | ||
| ≤10 | 9 | 12.8 |
| 11~20 | 27 | 38.6 |
| ≥21 | 32 | 45.6 |
| Experience of nursing administration (years) | 7.26 | 4.66 |
| Experience of nursing administration categories | ||
| ≤5 | 32 | 45.6 |
| 6~10 | 21 | 30.0 |
| ≥11 | 15 | 21.4 |
| Related education or training | ||
| Yes | 30 | 44.1 |
| No | 38 | 55.9 |
Informatics competencies of nurse managers.
| Item | Mean | SD |
|---|---|---|
| Total informatics competencies | 77.65 | 8.14 |
| Computer skills | 74.24 | 8.44 |
| Informatics knowledge | 82.29 | 9.35 |
| Informatics skills | 75.81 | 9.37 |
Figure 1Difference between three domains of informatics competencies. Informatics knowledge was significantly higher than computer skills and informatics skills (P < 0.000). However, computer skills were not different from informatics skills (P = 0.313).
Multiple linear regression analysis of predicted variable on informatics competencies (stepwise).
| Model | Variable in the equation |
| SE | Beta ( |
|
|
|
|
|---|---|---|---|---|---|---|---|---|
| Total Informatics Competencies | Constant | 53.746 | 3.946 | 0.000 | 0.844 | 0.712 | 0.000 | |
| Education level | 9.048 | 1.138 | 0.535 | 0.000 | ||||
| Experience of nursing administration | −1.097 | 0.118 | −0.628 | 0.000 | ||||
| Information education/training | 3.870 | 1.113 | 0.234 | 0.001 |
Note: Multiple linear regression analysis is regression coefficient, SE is standard error of coefficient, β is standardized regression coefficient, R is multiple correlation coefficient, R 2 is proportion of variation in dependent variable explained by regression model, P is level of statistical significance.