| Literature DB >> 29643903 |
Pimkhwan Bunjitpimol1, Ramesh Kumar2, Ratana Somrongthong3.
Abstract
OBJECTIVES: To evaluate the effect of case based cultural competency level and its factors affecting on nurse job in two private hospitals of Bangkok, Thailand.Entities:
Keywords: Effectiveness; Intervention; Nursing competence; Private hospital; Work environment
Year: 2018 PMID: 29643903 PMCID: PMC5857008 DOI: 10.12669/pjms.341.14080
Source DB: PubMed Journal: Pak J Med Sci ISSN: 1681-715X Impact factor: 1.088
Demographic characteristics and work related factors among nurses.
| Variables | Hospital B (Control) | Hospital A (Intervention) | Total | Chi-square Control vs Intervention | |
|---|---|---|---|---|---|
| N = 83 (%) | N = 83 (%) | N = 166 (%) | p-value[ | ||
| Sex | Male | 2 (2.4%) | 2 (2.4%) | 4 (2.4%) | 1.000 |
| Female | 81 (97.6%) | 81 (97.6%) | 162 (97.6%) | ||
| Age (years) | |||||
| Range = 22-59 | 22-30 | 30 (36.1%) | 51 (61.4%) | 81 (48.8%) | 0.003 |
| ( | 31-40 | 29 (34.9%) | 21 (25.3%) | 50 (30.1%) | |
| More than 40 | 24 (28.9%) | 11 (13.3%) | 35 (21.1%) | ||
| Marital status[ | Single | 46 (55.4%) | 51 (61.4%) | 97 (58.4%) | 0.586 |
| Married | 33 (39.8%) | 30 (36.1%) | 63 (38.0%) | ||
| Divorced/widowed | 4 (4.8%) | 2 (2.4%) | 6 (3.6%) | ||
| >Religion | Buddhism | 77 (92.8%) | 81 (97.6%) | 158 (95.2%) | 0.277 |
| Christian/Muslim | 6 (7.2%) | 2 (2.4%) | 8 (4.8%) | ||
| Highest education | Bachelor degree | 77 (92.8%) | 76 (91.6%) | 153 (92.2%) | 1.000 |
| Master degree | 6 (7.2%) | 7 (8.4%) | 13 (7.8%) | ||
| Level of seniority[ | Junior nurse | 0 | 9 (10.8%) | 9 (5.4%) | 0.000 |
| Nurse | 45 (54.2%) | 59 (71.1%) | 104 (62.7%) | ||
| Senior nurse | 5 (6.0%) | 2 (2.4%) | 7 (4.2%) | ||
| Supervisor | 29 (34.9%) | 10 (12.0%) | 39 (23.5%) | ||
| Others | 4 (3.8%) | 3 (3.6%) | 7 (4.2%) | ||
| Current monthly salary (Baht) (32-34 THB = 1 USD at time of study)[ | 15,000-20,000 | 3 (3.6%) | 9 (10.8%) | 12 (7.2%) | 0.137 |
| 20,001-30,000 | 17 (20.5%) | 26 (31.3%) | 43 (25.9%) | ||
| 30,001-40,000 | 37 (44.6%) | 27 (32.5%) | 64 (38.6%) | ||
| 40,001-50,000 | 20 (24.1%) | 16 (19.3%) | 36 (21.7%) | ||
| More than 50,001 | 6 (7.2%) | 5 (6.0%) | 11 (6.6%) | ||
| Current Responsible areas (last three months) | Out-patient Department | 16 (19.3%) | 14 (16.9%) | 30 (18.1%) | 0.998 |
| In-patient Department | 41 (50.6%) | 41 (50.6%) | 82 (50.6%) | ||
| Emergency room | 8 (9.6%) | 9 (10.8%) | 17 (10.2%) | ||
| Operation room | 9 (10.8%0 | 9 (10.8%) | 18 (10.8%) | ||
| ICU | 8 (9.6%) | 9 (10.8%) | 17 (10.2%) | ||
| Experience as nurse (years) | |||||
| Range = 1-39 years | 1-3 | 17 (20.5%) | 27 (32.5%) | 44 (26.5%) | 0.152 |
| ( | 4-10 | 32 (38.6%) | 33 (39.8%) | 65 (39.2%) | |
| 11-20 | 21 (25.3%) | 17 (20.5%) | 38 (22.9%) | ||
| More than 20 | 13 (15.7%) | 6 (7.2%) | 19 (11.4%) | ||
| Work shift | Day shift | 52 (62.7%) | 25 (30.1%) | 77 (46.4%) | 0.000 |
| (last three months) | Night shift | 31 (37.3%) | 58 (69.9%) | 89 (53.6%) | |
| Experience with foreign patients | No | 24 (28.9%) | 20 (24.1%) | 44 (26.5%) | 0.598 |
| Yes | 59 (71.1%) | 63 (75.9%) | 122 (73.5%) | ||
| Language skills (English) | Poor | 10 (12.0%) | 15 (18.1%) | 25 (15.1%) | 0.516 |
| Moderate | 64 (77.1%) | 61 (73.5%) | 125 (75.3%) | ||
| Good | 9 (10.8%) | 7 (8.4%) | 16 (9.6%) | ||
| Chinese[ | Poor | 81 (97.6%) | 75 (90.4%) | 156 (94.0%) | 0.099 |
| Moderate/Good | 2 (2.4%) | 8 (9.6%) | 10 (6.0%) | ||
| Yawee[ | Poor | 82 (98.8%) | 78 (94.0%) | 160 (96.4%) | 0.047 |
| Moderate/Good | 1 (1.2%) | 5 (6.0%) | 6 (3.6%) | ||
p-value was calculated using a Chi-square test using 2-sided method (accepted level is 0.05)
Data was regrouped for categories with cell/cells having expected count of 0 for Chi-square test
Fisher's exact test was used for categories with cell/cells having expected count less than 5
The samples from the two groups are significantly different (p-value < 0.05)
The samples from the two groups are highly significantly different (p-value < 0.01)
The effects of different demographic characteristics & work-related factors on the cultural knowledge competency in nurses from the control and intervention groups using General Linear Model repeated-measures ANCOVA.
| Parameter | Type-III Sum of Squares | df | Mean Square | F | p-value |
|---|---|---|---|---|---|
| Age | 345.582 | 1 | 345.582 | 3.987 | 0.048 |
| Level of seniority | 389.230 | 1 | 389.230 | 4.491 | 0.036 |
| Work shift | 178.375 | 1 | 178.375 | 2.058 | 0.154 |
| Confidence | 248.734 | 1 | 248.734 | 2.870 | 0.092 |
| Yawee language skill | 193.472 | 1 | 193.472 | 2.232 | 0.137 |
The data at pre-test is significantly different (p-value < 0.05).
Fig.1Comparison of the competency score of cultural knowledge between the control and intervention groups at pre-test and post-test.
Comparison of the competency score of sub-cultural knowledge between the control and intervention groups at post-test using General Linear Model repeated-measures ANCOVA.
| Category | ANCOVA | |
|---|---|---|
| Mean difference | p-value[ | |
| Food | -4.180 | <0.001 |
| Greeting | -0.180 | 0.405 |
| Religion/belief | 2.400 | 0.017 |
| Language/costume | 0.000 | 0.985 |
| Manner | -1.540 | <0.001 |
| Health | -0.020 | 0.943 |
| Culture | 1.780 | <0.001 |
| Social | -5.740 | <0.001 |
p-value was calculated using an ANCOVA test at a significant level of 0.05 (between groups only)
The samples from the two groups are significantly different (p-value < 0.05)
The samples from the two groups are highly significantly different (p-value < 0.01).
Fig.2Comparison of the competency score of cultural attitude between the control and intervention groups at pre-test and post-test.