| Literature DB >> 31842864 |
Judith Hough1,2, Daniel Levan3, Michael Steele3, Kristine Kelly4, Megan Dalton3.
Abstract
BACKGROUND: The Australian Physiotherapy Council mandates that physiotherapy clinical education be sufficient to produce graduates who are competent to practice across the lifespan. Due to a lack of opportunities for paediatric clinical placements, there is a risk of graduates not having the opportunity to develop competency in paediatric physiotherapy. To address this risk, simulation-based education (SBE) has been proposed as an educational strategy to address the placement shortfall. Despite encouraging evidence for its use in physiotherapy education, there is limited evidence supporting its use specifically in paediatric populations. The aims of this research were to investigate the effect of SBE on student self-efficacy in the physiotherapy assessment and management of paediatric clients, and to determine student satisfaction with SBE as a learning strategy.Entities:
Keywords: Paediatrics; Physiotherapy; Simulation
Mesh:
Year: 2019 PMID: 31842864 PMCID: PMC6915888 DOI: 10.1186/s12909-019-1894-2
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Fig. 1Timeline of study procedure
Response rates to the learning reactionnaire and questionnaire for each of the three simulation-based education scenarios
| 2014 | 2018 | |
|---|---|---|
| Total enrolled | 74 | 92 |
| Scenario 1 - Musculoskeletal | 70 (95) | 86 (96) |
| Scenario 2 - Cardiorespiratory | 67 (91) | 82 (91) |
| Scenario 3 - Neurological | 57 (77) | 77 (86) |
| Learning Reactionnaire | 62 (84) | 77 (86) |
Change in self-efficacy after SBE scenario 1 (musculoskeletal) for combined 2014 and 2018 cohort, where 0 = “not at all”, 1 = “a little”, 2 = “moderately”, 3 = “a lot” and 4 = “totally” confident
| Question | Mean Pre Score | Mean Post Score | Mean Difference | Negative Ranks | Positive Ranks | Ties | Total | |
|---|---|---|---|---|---|---|---|---|
| Q1 | 1.54 ± 0.57 | 2.48 ± 0.62 | 0.94 | < 0.001 | 0 (0%) | 126 (80.8%) | 30 (19.2%) | 156 |
| Q2 | 1.48 ± 0.61 | 2.45 ± 0.66 | 0.97 | < 0.001 | 1 (0.6%) | 122 (78.7%) | 32 (20.6%) | 155 |
| Q3 | 1.71 ± 0.65 | 2.66 ± 0.62 | 0.95 | < 0.001 | 1 (0.6%) | 116 (74.8%) | 38 (24.5%) | 155 |
| Q4 | 2.04 ± 0.72 | 2.77 ± 0.71 | 0.73 | < 0.001 | 4 (2.6%) | 99 (63.5%) | 53 (34%) | 156 |
| Q5 | 1.67 ± 0.69 | 2.54 ± 0.62 | 0.86 | < 0.001 | 3 (1.9%) | 109 (69.9%) | 44 (28.2%) | 156 |
| Q6 | 1.56 ± 0.70 | 2.48 ± 0.61 | 0.92 | < 0.001 | 2 (1.3%) | 118 (75.6%) | 36 (23.1%) | 156 |
| Q7 | 2.01 ± 0.76 | 2.78 ± 0.66 | 0.76 | < 0.001 | 4 (2.6%) | 98 (62.8%) | 54 (34.6%) | 156 |
Change in self-efficacy after SBE scenario 2 (cardiorespiratory) for combined 2014 and 2018 cohort, where 0 = “not at all”, 1 = “a little”, 2 = “moderately”, 3 = “a lot” and 4 = “totally” confident
| Question | Mean Pre Score | Mean Post Score | Mean Difference | Negative Ranks | Positive Ranks | Ties | Total | |
|---|---|---|---|---|---|---|---|---|
| Q1 | 1.55 ± 0.61 | 2.43 ± 0.63 | 0.88 | < 0.001 | 1 (0.7%) | 110 (73.8%) | 38 (25.5%) | 149 |
| Q2 | 1.49 ± 0.61 | 2.38 ± 0.65 | 0.89 | < 0.001 | 2 (1.3%) | 107 (71.8%) | 40 (26.8%) | 149 |
| Q3 | 1.67 ± 0.64 | 2.52 ± 0.62 | 0.85 | < 0.001 | 2 (1.4%) | 107 (72.3%) | 39 (26.4%) | 148 |
| Q4 | 1.98 ± 0.72 | 2.76 ± 0.67 | 0.78 | < 0.001 | 3 (2%) | 97 (65.1%) | 49 (32.9%) | 149 |
| Q5 | 1.60 ± 0.63 | 2.45 ± 0.67 | 0.85 | < 0.001 | 0 (0%) | 107 (71.8%) | 42 (28.2%) | 149 |
| Q6 | 1.58 ± 0.63 | 2.40 ± 0.69 | 0.81 | < 0.001 | 3 (2%) | 102 (68.5%) | 44 (29.5%) | 149 |
| Q7 | 1.85 ± 0.70 | 2.71 ± 0.64 | 0.86 | < 0.001 | 0 (0%) | 104 (69.8%) | 45 (30.2%) | 149 |
Change in self-efficacy after SBE scenario 3 (neurological) for combined 2014 and 2018 cohort, where 0 = “not at all”, 1 = “a little”, 2 = “moderately”, 3 = “a lot” and 4 = “totally” confident
| Question | Mean Pre Score | Mean Post Score | Mean Difference | Negative Ranks | Positive Ranks | Ties | Total | |
|---|---|---|---|---|---|---|---|---|
| Q1 | 1.55 ± 0.58 | 2.41 ± 0.66 | 0.86 | < 0.001 | 2 (1.5%) | 98 (73.1%) | 34 (25.4%) | 134 |
| Q2 | 1.47 ± 0.61 | 2.40 ± 0.65 | 0.93 | < 0.001 | 2 (1.5%) | 101 (75.4%) | 31 (23.1%) | 134 |
| Q3 | 1.67 ± 0.64 | 2.56 ± 0.63 | 0.89 | < 0.001 | 1 (0.7%) | 96 (71.6%) | 37 (27.6%) | 134 |
| Q4 | 1.96 ± 0.67 | 2.74 ± 0.68 | 0.79 | < 0.001 | 3 (2.2%) | 86 (64.2%) | 45 (33.6%) | 134 |
| Q5 | 1.67 ± 0.56 | 2.44 ± 0.61 | 0.77 | < 0.001 | 1 (0.8%) | 90 (68.7%) | 40 (30.5%) | 131 |
| Q6 | 1.56 ± 0.62 | 2.51 ± 0.73 | 0.95 | < 0.001 | 2 (1.5%) | 100 (74.6%) | 32 (23.9%) | 134 |
| Q7 | 1.86 ± 0.67 | 2.67 ± 0.68 | 0.81 | < 0.001 | 1 (0.7%) | 92 (68.7%) | 41 (30.6%) | 134 |
Fig. 2Percentage of students who had an increase, decrease or no change to self-efficacy (SE) for each session. a shows results for the first (musculoskeletal) scenario. b shows results for the second (cardiorespiratory) scenario. c shows results for the third (neurological) scenario. d shows results for all scenarios combined
Change in self-efficacy for all sessions combined, where 0 = “not at all”, 1 = “a little”, 2 = “moderately”, 3 = “a lot” and 4 = “totally” confident
| Question | Mean Pre Score | Mean Post Score | Post scores ≥ 3 | Mean Difference | Negative Ranks | Positive Ranks | Ties | Total | |
|---|---|---|---|---|---|---|---|---|---|
| Q1 | 1.55 ± 0.59 | 2.45 ± 0.63 | 196 (44.6%) | 0.90 | < 0.001 | 3 (0.7%) | 334 (76.1%) | 102 (23.2%) | 439 |
| Q2 | 1.48 ± 0.61 | 2.41 ± 0.65 | 192 (43.8%) | 0.93 | < 0.001 | 5 (1.1%) | 330 (75.3%) | 103 (23.5%) | 438 |
| Q3 | 1.68 ± 0.64 | 2.58 ± 0.62 | 240 (54.9%) | 0.90 | < 0.001 | 4 (0.9%) | 319 (73%) | 114 (26.1%) | 437 |
| Q4 | 1.99 ± 0.71 | 2.76 ± 0.69 | 293 (66.7%) | 0.77 | < 0.001 | 10 (2.3%) | 282 (64.2%) | 147 (33.5%) | 439 |
| Q5 | 1.65 ± 0.64 | 2.48 ± 0.63 | 195 (44.7%) | 0.83 | < 0.001 | 4 (0.9%) | 306 (70.2%) | 126 (28.9%) | 436 |
| Q6 | 1.57 ± 0.65 | 2.46 ± 0.68 | 204 (46.5%) | 0.89 | < 0.001 | 7 (1.6%) | 320 (72.9%) | 112 (25.5%) | 439 |
| Q7 | 1.91 ± 0.72 | 2.72 ± 0.66 | 277 (63.1%) | 0.81 | < 0.001 | 5 (1.1%) | 294 (67%) | 140 (31.9%) | 439 |
Summary of learning reactionnaire responses for combined 2014 and 2018 cohort
| Question | Score 0 (Not at all) | Score 1 (A little) | Score 2 (Moderately) | Score 3 (A lot) | Score 4 (Totally) | Range | Mean | Total |
|---|---|---|---|---|---|---|---|---|
| Q1 | 0 (0%) | 1 (0.7%) | 27 (19.6%) | 80 (58%) | 30 (21.7%) | 3 | 3.01 ± 0.67 | 138 |
| Q2 | 0 (0%) | 7 (5.1%) | 38 (27.5%) | 74 (53.6%) | 19 (13.8%) | 3 | 2.76 ± 0.75 | 138 |
| Q3 | 0 (0%) | 1 (0.7%) | 27 (19.6%) | 64 (46.4%) | 46 (33.3%) | 3 | 3.12 ± 0.74 | 138 |
| Q4 | 0 (0%) | 2 (1.5%) | 26 (19%) | 75.5 (55.1%)a | 34.5 (25.2%)a | 3 | 3.03 ± 0.71 | 137 |
| Q5 | 0 (0%) | 2 (1.5%) | 22 (16.1%) | 72 (52.6%) | 41 (29.9%) | 3 | 3.11 ± 0.71 | 137 |
| Q6 | 1 (0.7%) | 1 (0.7%) | 23 (16.7%) | 74 (53.6%) | 39 (28.3%) | 4 | 3.08 ± 0.74 | 138 |
| Total | 1 (0.1%) | 14 (1.7%) | 163 (19.7%) | 439.5 (53.1%) | 209.5 (25.3%) | 4 | 3.02 ± 0.73 | 827 |
a1 participant submitted a score of 3.5 for question 4
Fig. 3Leximancer concept map illustrating the main concepts identified by the students in the learning reactionnaire and how they interrelate with each other