| Literature DB >> 33315939 |
Junwei Gao1, Ling Yang1, Jinghui Zhao1, Lian Wang1, Jiao Zou1, Chunxiang Wang1, Xiaotang Fan1.
Abstract
BACKGROUND: PBL approach has been widely used in many Chinese universities over the past decade. However, the effects of PBL approach on medical psychology education in China are inconsistent. The purpose of this study was to ascertain whether the PBL approach was superior to the lecture-based teaching method in the context of the medical psychology curriculum in China.Entities:
Year: 2020 PMID: 33315939 PMCID: PMC7735601 DOI: 10.1371/journal.pone.0243897
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow diagram of study identification.
Characteristics of included studies in this meta-analysis.
| Yi 2007 | Qingdao University Medical College | Clinical medicine | Five-year system | 20–30% | Theoretical scores/satisfaction survey |
| Pan 2009 | West China Medical College | Clinical medicine | Five-year system | 50% | Theoretical scores |
| Zhang 2011 | Yichun University | Clinical medicine | Five-year system | 18 class hours | Theoretical scores |
| Long 2012 | Guangzhou Medical College | Medical imaging and Health law | Not described | Not described | Theoretical scores/satisfaction survey |
| Huang 2014 | Yongzhou Vocational and Technical College | Clinical medicine | Three-year system | 100% | Theoretical scores/satisfaction survey |
| Wang 2017 | Capital Medical University | Clinical medicine | Five-year system | 100% | Theoretical scores/satisfaction survey |
| Wang 2019 | Air Force Medical University | Clinical medicine | Five-year system | 100% | Theoretical scores/satisfaction survey |
| Dang (a) 2014 | Xinjiang Medical University | Clinical and Preventive medicine | Not described | 44.4% | Theoretical scores/satisfaction survey |
| Dang (b) 2014 | Xinjiang Medical University | Clinical and Preventive medicine | Not described | 44.4% | Theoretical scores/satisfaction survey |
| One semester | 114 | 85.70±8.96 | 114 | 81.10±8.76 | 6 |
| One semester | 11 | 81.55±4.11 | 11 | 75.45±3.67 | 7 |
| One semester | 48 | 85.00±8.49 | 48 | 72.00±8.06 | 6 |
| One semester | 99 | 12.56±4.86 | 38 | 12.15±3.58 | 6 |
| One semester | 58 | 85.00±2.70 | 58 | 72.00±2.80 | 6 |
| Half of the semester | 60 | 89.92±1.76 | 60 | 83.18±3.41 | 7 |
| One semester | 36 | 88.2.0±5.40 | 36 | 77.20±6.30 | 7 |
| One semester | 64 | 0.001 | 66 | 7 | |
| One semester | 61 | 0.001 | 65 | 7 | |
a data shown as sample size and p value.
Fig 2Forest plot for the random-effect meta-analysis.
Summary of meta-analysis results.
| ` | Tests of association | Tests of heterogeneity | Publication bias | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Groups | Studies (n) | Case (n) | Control (n) | Model | Hedges’ g [95%CI] | Z | P value | Q value | p value | I2 (%) | Begg’s p value |
| Overall | 9 | 551 | 496 | RE | 1.510 [0.792–2.227] | 4.125 | <0.001 | 205.309 | <0.001 | 96.103 | 0.048 |
| Clinical medicine | 6 | 327 | 327 | RE | 2.086 [0.997–3.174] | 3.754 | <0.001 | 149.966 | <0.001 | 96.666 | 0.348 |
| Five-year system | 5 | 269 | 269 | RE | 1.571 [0.751–2.391] | 3.755 | <0.001 | 61.738 | <0.001 | 93.521 | 0.807 |
| Removing studies outside the boundaries in Galbraith plot | 4 | 250 | 256 | FE | 0.592 [0.415–0.770] | 6.543 | <0.001 | 4.099 | 0.251 | 26.807 | |
RE random effects model, FE fixed effects model.
Fig 3Forest plot for the random-effect meta-analysis of the clinical medicine subgroup.
Fig 4Forest plot for the random-effect meta-analysis of the five-year system subgroup.
Fig 5Galbraith plot for the random-effect meta-analysis.
Fig 6Forest plot for the fixed-effect meta-analysis after removing the studies outside the boundaries of the Galbraith plot.
Fig 7Sensitivity analysis.
Fig 8Funnel plot of precision using Hedges’ g statistics.