Development and Implementation of a Mobile-Integrated Simulation for COVID-19 Nursing Practice: A Randomized Controlled Pretest–Posttest Experimental Design
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants and Recruitment
2.3. Randomization and Blinding
2.4. Mobile Education Program
2.5. Measurements
2.5.1. COVID-19 Knowledge
2.5.2. Infection Prevention Practice Confidence
2.5.3. Clinical Decision-Making Confidence and Anxiety
2.6. High-Fidelity Simulation Training
2.7. Statistical Approach
3. Results
3.1. General Characteristics and Baseline Homogeneity
3.2. Effectiveness of Mobile-Integrated COVID-19 Nursing Practice Simulation Program
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Simulation Outline | |
---|---|
Topic | COVID-19 Care |
Learning objective | Adhere to infection control guidelines when caring for COVID-19 patients admitted to the hospital. |
Outline | Total duration of videos (43 min 13 s) Mobile educational materials provided for pre-learning purposes Consists of 5 sessions Orientation and sharing of scenarios Main simulation On-site debriefing and reflection Learners: nurses with at least 6 months of clinical experience but no experience in a COVID-19 unit |
Supplies | Space organization Simulation room PPE donning room PPE doffing room Debriefing room Equipment and supplies for education Simulator (Laerdal), body bag (corpse bag), negative pressure isolation chamber, ventilator, ventilator circuit, high-flow oxygen injector, ECG motoring machine, patient bed, disposable hospital bed cover, transparent film dressing roll, disinfecting wet wipes, gauze, medical stretcher cart, biomedical waste bin, hand sanitizer, HME ventilator filter, PPE (level D) |
Characteristic | Category | Experimental Group (n = 55) | Control Group (n = 54) | x2/t/Z | p | |
---|---|---|---|---|---|---|
n (%) or M ± SD | n (%) or M ± SD | |||||
General characteristics | ||||||
Sex | Male | 3 (5.5) | 0 | 3.001 * | 0.243 | |
Female | 52 (94.5) | 54 (100) | ||||
Marital status | Single | 47 (85.5) | 42 (77.8) | 1.072 | 0.332 | |
Married | 8 (14.5) | 12 (22.2) | ||||
CLS | None | 41 (74.5) | 36 (66.7) | 1.546 | 0.460 | |
≥CN1 | 14 (25.5) | 18(33.3) | ||||
Age | M ± SD (years) | 27.74 ± 5.66 | 28.78 ± 5.5 | −0.856 | 0.395 | |
<30 years | 41 (74.5) | 35 (64.8) | 2.159 * | 0.369 | ||
31 to <40 years | 10 (18.2) | 15 (27.8) | ||||
≥40 years | 4 (7.3) | 4 (7.4) | ||||
Period of employment | M ± SD (months) | 57.63 ± 63.39 | 65.41 ± 62.47 | −1.044 | 0.301 | |
6 to <12 months | 10 (18.2) | 7 (13.0) | 2.252 | 0.532 | ||
1 to <2 years | 15 (27.3) | 10 (18.5) | ||||
2 to <5 years | 13 (23.6) | 15 (27.8) | ||||
≥5 years | 17 (30.9) | 22 (40.7) | ||||
Duration of current employment | M ± SD (months) | 13.76 ± 5.31 | 13.72 ± 4.95 | −0.384 | 0.702 | |
6 to <12 months | 19 (34.5) | 19 (35.2) | 0.052 | 0.820 | ||
1 to <2 years | 36 (65.5) | 35 (64.8) | ||||
Education level | Associate degree | 9 (16.4) | 10 (18.5)) | 0.002 | 0.996 | |
Bachelor’s degree or higher | 46 (83.6) | 44 (81.5) | ||||
COVID-19-related characteristics | ||||||
PPE training | Yes | 42 (76.4) | 42 (77.8) | 0.175 | 0.861 | |
No | 13 (23.6) | 12 (22.2) | ||||
COVID-19 education | Yes | 41 (74.5) | 32 (59.3) | 2.878 | 0.106 | |
No | 14 (25.5) | 22 (40.7) | ||||
COVID-19 care experience | Yes | 44 (80) | 42 (77.8) | 0.081 | 0.776 | |
No | 11 (11) | 12 (22.2) | ||||
COVID-19 infection history | Yes | 30 (54.5) | 25 (46.3) | 0.742 | 0.446 | |
No | 25 (45.5) | 29 (53.7) | ||||
Cohabiting family COVID-19 infection history | Yes | 28 (50.9) | 30 (55.6) | 0.236 | 0.702 | |
No | 27 (49.1) | 24 (44.4) | ||||
Prior simulation other than COVID-19 simulation | Yes | 22 (40) | 28 (51.9) | 1.541 | 0.251 | |
No | 33 (60) | 26 (48.1) | ||||
Baseline homogeneity in dependent variables | ||||||
Knowledge | 19.98 ± 2.50 | 20.65 ± 2.59 | −1.471 † | 0.141 | ||
Practice confidence | 110.16 ± 19.63 | 117.06 ± 20.01 | −1.850 | 0.067 | ||
Clinical decision-making anxiety | 50.40 ± 20.18 | 49.27 ± 19.58 | 0.392 | 0.696 | ||
Clinical decision-making confidence | 74.89 ± 25.27 | 79.01 ± 27.20 | 0.957 † | 0.339 |
Variable | Experimental Group (n = 55) | Control Group (n = 54) | t/Z | p | ||||
---|---|---|---|---|---|---|---|---|
Pre | Post | Difference | Pre | Post | Difference | |||
M ± SD | M ± SD | M ± SD | M ± SD | M ± SD | M ± SD | |||
Knowledge | 19.98 ± 2.50 | 22.88 ± 2.31 | 3.31 ± 3.20 | 20.65 ± 2.59 | 21.63 ± 2.39 | 1.33 ± 3.39 | 3.13 | 0.002 |
Practice | 110.16 ± 19.63 | 130.91 ± 18.88 | 20.75 ± 18.36 | 117.05 ± 20.01 | 120.56 ± 21.64 | 3.5 ± 22.80 | −4.175 * | <0.001 |
Clinical | 50.40 ± 20.18 | 47.89 ± 23.56 | −2.50 ± 25.45 | 49.27 ± 19.58 | 47.78 ± 22.13 | −1.49 ± 25.79 | −0.268 * | 0.789 |
decision-making anxiety | ||||||||
Clinical | 74.89 ± 25.27 | 95.20 ± 24.89 | 20.31 ± 23.66 | 79.19 ± 27.43 | 90.46 ± 26.51 | 11.28 ± 34.41 | −1.347 * | 0.178 |
decision-making confidence |
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Lee, S.-H.; Choi, J.-S. Development and Implementation of a Mobile-Integrated Simulation for COVID-19 Nursing Practice: A Randomized Controlled Pretest–Posttest Experimental Design. Healthcare 2024, 12, 419. https://doi.org/10.3390/healthcare12040419
Lee S-H, Choi J-S. Development and Implementation of a Mobile-Integrated Simulation for COVID-19 Nursing Practice: A Randomized Controlled Pretest–Posttest Experimental Design. Healthcare. 2024; 12(4):419. https://doi.org/10.3390/healthcare12040419
Chicago/Turabian StyleLee, Sun-Hwa, and Jeong-Sil Choi. 2024. "Development and Implementation of a Mobile-Integrated Simulation for COVID-19 Nursing Practice: A Randomized Controlled Pretest–Posttest Experimental Design" Healthcare 12, no. 4: 419. https://doi.org/10.3390/healthcare12040419