| Literature DB >> 28044104 |
Harvinderjit Kaur A/P Basauhra Singh1, Mei Chan Chong2, Hari Chandran A/L Thambinayagam3, Mohd Idzwan Bin Zakaria4, Siew Ting Cheng1, Li Yoong Tang2, Nurul Hafizan Azahar2.
Abstract
Assessment of level of consciousness using the Glasgow Coma Scale (GCS) is a tool requiring knowledge that is important in detecting early deterioration in a patient's level of consciousness. Critical thinking used with the skill and knowledge in assessing the GCS is the foundation of all nursing practice. This study aims to explore the knowledge and competence in assessing the GCS among staff nurses working in the Emergency and Outpatient Departments. This is a quantitative descriptive cross-sectional study design using the GCS Knowledge Questionnaire. Convenience sampling method was used. Nurses in these Departments were asked to partake in the survey. Data collected was analyzed using the Statistical Package of Social Sciences (SPSS) version 20. Descriptive and Pearson's chi square was used. Result showed that 55.56% of nurses had poor knowledge followed by 41.48% and 2.96% with satisfactory knowledge and good knowledge, respectively. The result on the association between knowledge and education level showed a significant association between the two variables (X2 = 18.412, df = 3, n = 135, and p < 0.05). There was also a significant correlation between knowledge and age group (X2 = 11.085, df = 2, n = 135, and p < 0.05). Overall, this study supports that good knowledge and skill are important in assessing GCS level.Entities:
Year: 2016 PMID: 28044104 PMCID: PMC5156803 DOI: 10.1155/2016/8056350
Source DB: PubMed Journal: Nurs Res Pract ISSN: 2090-1429
Pearson's chi square association between knowledge and level of education (n = 135).
| Level of education | Knowledge | Pearson's chi square | |||||
|---|---|---|---|---|---|---|---|
| Good | Satisfactory | Poor | Total |
| df | Sig. ( | |
| Diploma | 1 (1.1%) | 34 (36.2%) | 59 (62.8%) | 94 (100%) | 18.412a | 3 | 0.005 |
| Post basic nursing | 0 (0%) | 11 (57.9%) | 8 (42.1%) | 19 (100%) | |||
| Degree | 2 (11.1%) | 10 (55.6%) | 6 (33.3%) | 18 (100%) | |||
| Certificate | 1 (25%) | 1 (25%) | 2 (50%) | 5 (100%) | |||
| Total | 4 (3%) | 56 (41.4%) | 75 (55.6%) | 135 (100%) | |||
a6 cells (50%) have expected count less than 5. The minimum expected count is 0.
Pearson's chi square association between knowledge and age group (n = 135).
| Age group | Knowledge | Pearson chi square | |||||
|---|---|---|---|---|---|---|---|
| Good | Satisfactory | Poor | Total |
| df | Sig. ( | |
| 20–30 | 1 (1.1%) | 38 (42.2%) | 51 (56.7%) | 90 (100%) | 11.085a | 2 | 0.026 |
| 31–40 | 1 (3.7%) | 15 (55.6%) | 11 (40.7%) | 27 (100%) | |||
| 41–60 | 2 (11.1%) | 3 (16.7%) | 13 (72.2%) | 18 (100%) | |||
| Total | 4 (3%) | 56 (41.4%) | 75 (55.6%) | 135 (100%) | |||
a4 cells (33.3%) have expected count less than 5. The minimum expected count is 1.