| Literature DB >> 26646830 |
Ramesh L Walpola1, Romano A Fois1, Andrew J McLachlan2, Timothy F Chen1.
Abstract
OBJECTIVE: Despite the recognition that educating healthcare students in patient safety is essential, changing already full curricula can be challenging. Furthermore, institutions may lack the capacity and capability to deliver patient safety education, particularly from the start of professional practice studies. Using senior students as peer educators to deliver practice-based education can potentially overcome some of the contextual barriers in training junior students. Therefore, this study aimed to evaluate the effectiveness of a peer-led patient safety education programme for junior pharmacy students.Entities:
Keywords: MEDICAL EDUCATION & TRAINING; STATISTICS & RESEARCH METHODS
Mesh:
Year: 2015 PMID: 26646830 PMCID: PMC4680010 DOI: 10.1136/bmjopen-2015-010045
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Participant characteristics
| Characteristic | First-year students | Second-year students | p Value |
|---|---|---|---|
| Gender | |||
| Males, n (%)* | 60 (34.3) | 39 (27.9) | 0.368 |
| Females, n (%)* | 115 (65.7) | 101 (72.1) | |
| Age, in years, mean (SD) | 19.4 (4.0) | 20.0 (2.2) | 0.097 |
| Healthcare work or study experience prior to start of Bachelor of Pharmacy programme, n (%)* | 22 (13.0) | 29 (20.7) | 0.750 |
| Students currently working in a pharmacy | 26 (14.9) | 58 (41.4) | <0.001 |
| Months worked in pharmacy | 2.2 (8.5) | 4.8 (8.0) | 0.006 |
| Students currently working in a pharmacy | 34 (19.4) | 66 (47.5) | <0.001 |
| Months worked in pharmacy | 2.4 (7.3) | 6.2 (10.2) | <0.001 |
*Note—percentages based on denominator of number of valid responses only.
Figure 1Full latent growth curve (LGC) model evaluating students’ attitudes over time. The diagram consists of the four attitudinal domains being measured: willingness to undertake quality improvement activities (QI); likelihood to internalise errors (IE); likelihood to question behaviours of other healthcare professionals (QB); and willingness to the open disclosure of errors to patients (OD). The growth parameters of intercept (ICEPT) and slope (SLOPE) for each of these domains are illustrated in the diagram. The paths that point from these two parameters point to the respective attitudinal scores measured prior to the intervention (T1), immediately after the intervention (T2) and 1 month after intervention (T3). The year group in which students were enrolled (Year Group) was included in the model as a time invariant predictor of change with first-year students representing the intervention group and second-year students representing the comparator group. Residuals related to the measured attitudinal domains (E1–12) and the growth parameters of intercept and slope (D1–8) are also included in the model.
Effect of the intervention on students’ attitudinal scores*
| Attitudinal factor | Baseline score* (intercept) | Baseline p value | Rate of change† (slope) | Rate of change | |
|---|---|---|---|---|---|
| QI | Willingness to undertake quality improvement activities | −0.092 | 0.402 | 0.059 | 0.117 |
| IE | Likelihood to internalise errors | 0.029 | 0.821 | 0.116 | 0.010 |
| QB | Likelihood to question behaviours of other healthcare professionals | −0.014 | 0.879 | 0.133 | <0.001 |
| OD | Willingness to the open disclosure errors to patients | −0.178 | 0.045 | 0.089 | 0.008 |
*Calculated using latent growth curve modelling.
†Standardised estimates.