INTRODUCTION
1. Background
2. Study purpose
To investigate the current status of clinical microbiology courses offered by nursing education institutions nationwide in South Korea.
To identify clinical nurses’ perceived knowledge level and clinical importance regarding clinical microbiology course content.
To identify clinical nurses’ educational needs regarding clinical microbiology curricula.
METHODS
1. Study design
2. Study subjects
3. Research instruments
The current status of the clinical microbiology curriculum: The analysis items for the curriculum included course title, course category, number of credits, lecture hours, laboratory/practicum hours, school year, and semester.
Knowledge and clinical importance of clinical microbiology course contents: The items regarding course content were developed based on clinical microbiology textbooks in and out of Korea and the syllabus developed by the KSBNS [12]. The final items were selected after content validity was confirmed by experts (a nursing professor with expertise in infection control and three nursing professors with experience in teaching clinical microbiology). To finalize the course content items, only those items with a content validity index (CVI) of 80% or higher were selected. The instrument was composed of 22 items across six domains of infection and immunity, pathogenic bacteria, pathogenic viruses, pathogenic fungi, infection prevention and control, and understanding of microbiological testing. For each item, participants were instructed to rate their knowledge level and clinical importance of clinical microbiology on a scale with a minimum score of 0 point and a maximum score of 10 points. The higher the score, the higher the perceived knowledge and clinical importance of the clinical microbiology course content. Cronbach’s α was .966 for knowledge and .974 for clinical importance.
4. Data collection
5. Ethical consideration
6. Data analysis
The current status of clinical microbiology courses and participants’ general characteristics were analyzed by frequencies, percentages, means, and standard deviations.
The clinical importance of course contents were analyzed by means and standard deviations.
Perceived knowledge level and clinical importance of course contents by general characteristics were analyzed using independent t-tests and one-way analysis of variance (ANOVA). The variables that did not meet the normality assumption were analyzed using the Mann-Whitney and Kruskal-Wallis tests. The significant findings in the ANOVA or Kruskal-Wallis test were further analyzed by performing a post-hoc test with an independent t-test or Mann-Whitney test, depending on the normality test.
The correlation between total scores of knowledge and clinical importance was analyzed by Pearson’s correlation coefficient. For individual items, correlations were examined by computing Spearman’s rho statistics because the variables were single-item Likert scale scores.
Significance level was set at p<.05. In the multiple-comparison post-hoc test, Bonferroni correction was applied.
The educational needs were analyzed by the Borich Needs Assessment Model [14] and Locus for Focus Model [15]. The Borich Needs Assessment Model is based on the mean weighted discrepancy score (MWDS; [sum of (importance-knowledge)×mean importance]÷number of participants) to compute the discrepancy between the current knowledge level and importance weighted by item importance. The greater the value, the greater the educational need of the participant. The Locus for Focus Model is an approach for visualizing the need priorities. In the model, the items are displayed into four quadrants by the x- and y-axes, which display the mean importance values and discrepancies between importance and knowledge, respectively. The quadrant of high importance and high discrepancy (HH) indicates the items high in both importance and discrepancy; thus, these items are of the highest educational need. The quadrant of low importance and high discrepancy (LH) indicates the items low in importance but high in discrepancy; thus, these items have the second highest educational need. The quadrants of high importance and low discrepancy (HL) and low importance and low discrepancy (LL) indicate items with low educational needs. Items ranked high in both the Borich Needs Assessment Model and Locus for Focus Model are considered to have the highest educational need.
RESULTS
1. Status of currently offered clinical microbiology courses
1) Course titles
Table 1.
2) Course category, number of credits, hours of lecture and laboratory/practicum, and semester
Table 2.
2. Clinical nurses’ perceived clinical microbiology knowledge and clinical importance of clinical microbiology
Table 3.
General Characteristics | n | % | Knowledge | Importance | ||||||
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Mean | SD | t, F or Z, χ2 | p | Mean | SD | t, F or Z, χ2 | p | |||
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Gender† | ||||||||||
Female | 144 | 96.0 | 5.25 | 1.61 | -0.32 | .748 | 7.18 | 1.68 | -1.31 | .189 |
Male | 6 | 4.0 | 5.27 | 1.53 | 6.39 | 1.59 | ||||
Age | ||||||||||
<30 | 55 | 36.7 | 5.23 | 1.75 | 0.01 | .992 | 6.93 | 1.43 | 1.23 | .294 |
30-39 | 46 | 30.7 | 5.27 | 1.47 | 7.09 | 1.66 | ||||
≥40 | 49 | 32.7 | 5.26 | 1.58 | 7.44 | 1.92 | ||||
Education‡ | ||||||||||
Diplomaa | 7 | 4.7 | 4.83 | 1.99 | 2.99 | .224 | 5.70 | 1.49 | 9.88 |
.007 (a<c)† |
Baccalaureateb | 92 | 61.3 | 5.12 | 1.56 | 7.08 | 1.55 | ||||
Master or abovec | 51 | 34.0 | 5.55 | 1.62 | 7.47 | 1.83 | ||||
Hospital category | ||||||||||
Hospital | 11 | 7.3 | 5.41 | 1.58 | 1.29 | .279 | 7.30 | 1.44 | 0.22 | .803 |
General hospital | 30 | 20.0 | 5.64 | 1.88 | 7.29 | 1.66 | ||||
Tertiary hospital | 109 | 72.7 | 5.13 | 1.52 | 7.09 | 1.71 | ||||
Hospital size | ||||||||||
<500 beds | 19 | 12.7 | 5.94 | 1.50 | 2.30 | .104 | 7.17 | 1.92 | 0.23 | .796 |
500-999 beds | 79 | 52.7 | 5.07 | 1.64 | 7.22 | 1.61 | ||||
≥1,000 beds | 52 | 34.7 | 5.28 | 1.54 | 7.02 | 1.71 | ||||
Position | ||||||||||
Staff nurse | 117 | 78.0 | 5.11 | 1.59 | 2.20 | .115 | 7.13 | 1.70 | 1.80 | .170 |
Charge nurse | 22 | 14.7 | 5.87 | 1.60 | 7.64 | 1.14 | ||||
Unit manager | 11 | 7.3 | 5.48 | 1.68 | 6.50 | 2.20 | ||||
Total work experiences (yr) | ||||||||||
<5 | 33 | 22.0 | 5.08 | 1.94 | 1.54 | .217 | 6.80 | 1.54 | 0.94 | .393 |
5-9.9 | 48 | 32.0 | 5.58 | 1.56 | 7.20 | 1.57 | ||||
≥10 | 69 | 46.0 | 5.10 | 1.44 | 7.28 | 1.80 | ||||
Current working department | ||||||||||
General unit | 74 | 49.3 | 5.51 | 1.60 | 1.91 | .113 | 7.31 | 1.52 | 1.65 | .165 |
Intensive care unit | 17 | 11.3 | 5.37 | 1.78 | 7.54 | 1.62 | ||||
Emergency room | 14 | 9.3 | 4.68 | 1.12 | 6.20 | 1.50 | ||||
Operation room or recovery room | 4 | 2.7 | 6.01 | 2.68 | 6.72 | 1.79 | ||||
Other | 41 | 27.3 | 4.84 | 1.48 | 7.05 | 1.94 | ||||
Clinical microbiology course completion | ||||||||||
Yes | 113 | 75.3 | 5.34 | 1.69 | 1.81 | .074 | 7.15 | 1.71 | 0.04 | .971 |
No | 36 | 24.0 | 4.88 | 1.19 | 7.13 | 1.61 | ||||
Missing response | 1 | 0.7 |
Table 4.
No. | Item | Importance (I) | Knowledge (K) | I-K Correlation | I-K Discrepancy | Borich MWDS | Rank of needs | Locus for Focus | ||||||
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Mean | SD | Mean | SD | ρ† | p | Mean | SD | Z | p | |||||
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1 | Immune responses | 7.53 | 1.91 | 6.11 | 1.92 | 0.45 | <.001 | 1.42 | 2.05 | 7.10 | <.001 | 10.69 | 21 | HL |
2 | Difference between innate and acquired immunity | 7.02 | 1.95 | 6.44 | 2.16 | 0.37 | <.001 | 0.58 | 2.33 | 3.05 | .002 | 4.07 | 22 | LL |
3 | Characteristics by hypersensitivity types | 7.37 | 1.96 | 5.63 | 2.07 | 0.34 | <.001 | 1.74 | 2.37 | 7.39 | <.001 | 12.83 | 15 | HL |
4 | Disorders by hypersensitivity types | 7.29 | 1.92 | 5.28 | 2.00 | 0.30 | <.001 | 2.01 | 2.32 | 8.20 | <.001 | 14.62 | 6 | HH |
5 | Vaccine mechanism and response | 7.13 | 2.01 | 5.37 | 2.04 | 0.42 | <.001 | 1.77 | 2.14 | 8.12 | <.001 | 12.60 | 16 | LL |
6 | Differences between Gram-positive and Gram-negative bacteria | 6.98 | 2.01 | 5.32 | 2.28 | 0.29 | <.001 | 1.66 | 2.56 | 6.81 | <.001 | 11.59 | 19 | LL |
7 | Difference between staphylococci and streptococci | 6.61 | 2.20 | 4.64 | 2.26 | 0.28 | <.001 | 1.97 | 2.63 | 7.57 | <.001 | 12.99 | 12 | LH |
8 | Characteristics of Neisseria bacteria | 6.11 | 2.17 | 3.90 | 1.87 | 0.27 | .001 | 2.21 | 2.48 | 8.43 | <.001 | 13.53 | 10 | LH |
9 | Characteristics of pathogenic Escherichia coli | 6.93 | 2.13 | 5.19 | 2.16 | 0.29 | <.001 | 1.75 | 2.52 | 7.08 | <.001 | 12.11 | 17 | LL |
10 | Characteristics of anaerobic bacteria | 6.74 | 2.22 | 5.02 | 2.13 | 0.34 | <.001 | 1.72 | 2.51 | 7.06 | <.001 | 11.59 | 18 | LL |
11 | Characteristics of acid-fast bacteria | 7.01 | 2.15 | 5.18 | 2.11 | 0.30 | <.001 | 1.83 | 2.54 | 7.28 | <.001 | 12.86 | 14 | LL |
12 | Actions and resistance of antibiotics | 7.91 | 2.11 | 6.23 | 2.12 | 0.36 | <.001 | 1.68 | 2.44 | 7.06 | <.001 | 13.28 | 11 | HL |
13 | Structure and proliferation of enveloped DNA virus | 6.41 | 2.19 | 4.21 | 2.09 | 0.18 | .032 | 2.20 | 2.72 | 7.96 | <.001 | 14.11 | 7 | LH |
14 | Structure and proliferation of non-enveloped DNA virus | 6.33 | 2.16 | 4.13 | 2.02 | 0.17 | .037 | 2.19 | 2.65 | 8.02 | <.001 | 13.88 | 8 | LH |
15 | Structure and proliferation of enveloped RNA virus | 6.47 | 2.28 | 4.07 | 2.03 | 0.28 | .001 | 2.39 | 2.58 | 8.55 | <.001 | 15.48 | 5 | LH |
16 | Structure and proliferation of non-enveloped RNA virus | 6.41 | 2.25 | 3.93 | 1.96 | 0.26 | .001 | 2.48 | 2.54 | 8.70 | <.001 | 15.91 | 4 | LH |
17 | Structure and proliferation of hepatitis virus | 6.97 | 2.27 | 4.32 | 2.13 | 0.26 | .001 | 2.65 | 2.62 | 9.01 | <.001 | 18.50 | 2 | LH |
18 | Structure and proliferation of novel viruses (e.g., SARS-CoV-2) | 7.30 | 2.30 | 4.51 | 2.39 | 0.29 | <.001 | 2.79 | 2.72 | 9.03 | <.001 | 20.34 | 1 | HH |
19 | Structure and characteristics of pathologic fungi | 6.63 | 2.17 | 4.22 | 2.05 | 0.25 | .002 | 2.41 | 2.56 | 8.57 | <.001 | 15.95 | 3 | LH |
20 | Disinfection and sterilization | 8.69 | 1.90 | 7.41 | 2.08 | 0.29 | <.001 | 1.28 | 2.31 | 6.05 | <.001 | 11.12 | 20 | HL |
21 | Guidelines for infection control and prevention | 8.87 | 1.66 | 7.41 | 1.99 | 0.28 | <.001 | 1.45 | 2.18 | 7.09 | <.001 | 12.89 | 13 | HL |
22 | General principles of sampling for microbiological testing | 8.55 | 1.77 | 6.96 | 2.25 | 0.38 | <.001 | 1.59 | 2.36 | 7.21 | <.001 | 13.63 | 9 | HL |
DNA=Deoxyribonucleic acid; HH=High importance and high discrepancy; HL=High importance and low discrepancy; I-K=Importance-knowledge; LH=Low importance and high discrepancy; LL=Low importance and low discrepancy; MWDS=Mean weighted discrepancy score; No=Number; RNA=Ribonucleic acid; SARS-CoV-2=Severe acute respiratory syndrome coronavirus 2; SD=Standard deviation.