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Your search keyword '"Cheng-Pin Lai"' showing total 3 results
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3 results on '"Cheng-Pin Lai"'

1. Teaching Practice Research of Narrative Pedagogy with the Forensic Innocence

Author

Chun-Mei Tsai and Cheng-Pin Lai

Subjects
exoneration, forensic innocence, narrative, narrative pedagogy, wrongful convictions, Education, Theory and practice of education, LB5-3640
Abstract

Piloted in September 2020, this semester-long study was conducted in order to help university students better understand social issues, such as wrongful convictions or miscarriages, and help them be able to analyze issues from different perspectives. Using a narrative pedagogy approach, 40 psychology students were asked to read original court judgments, analyze news reports, and speak with those wrongfully convicted. The researchers then analyzed how students perceived those wrongfully convicted, understood the judicial system, and developed communication skills. Ultimately, students showed improved critical thinking, evaluation of sources, and communication skills. As a result of the narrative pedagogical approach, some students were able to put themselves in the position of those wrongfully convicted and, in some cases, even connect to their own personal experiences. The narrative approach allowed interaction between each of the three parties (the class), the guests (those wrongfully convinced), and the audience (the teacher and students). This study evaluates the course, reviews student feedback, and provides future recommendations.

Published
2022

2. Effects of various statins on depressive symptoms: A network meta-analysis

Author

Ming Chia Lee, Cheng Pin Lai, Jann-Yuan Wang, Tzu Rong Peng, Chih Hsin Lee, Jeng Chuan Shiang, Shih Ming Chen, Jen Ai Lee, and Bi Li Chen

Subjects
Funnel plot, medicine.medical_specialty, Depression, business.industry, Atorvastatin, Network Meta-Analysis, Publication bias, Cochrane Library, Placebo, Confidence interval, law.invention, Psychiatry and Mental health, Clinical Psychology, Randomized controlled trial, law, Meta-analysis, Internal medicine, medicine, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, business, medicine.drug
Abstract

Background : Previous studies have indicated that statins can reduce the severity of depressive symptoms. However, the optimal choice of statin remains unclear. Therefore, we conducted a network meta-analysis to determine the optimal statin for treating depression. Method : We performed a pairwise and network meta-analysis by searching the PubMed, Embase, and Cochrane Library databases on October 29th, 2020. Eligible studies were randomized controlled trials that reported on changes in depressive symptoms. The Cochrane Collaboration tool was used to assess risk of bias. We tested for possible inconsistency globally by using a χ2-test and locally by calculating inconsistency factors for each comparison in closed loops. The ranking probabilities of being at each possible rank for each intervention were estimated. Comparison-adjusted funnel plots were obtained to assess publication bias. Sensitivity analysis was also performed. Results : We identified 13 studies that matched our inclusion criteria. The risks of bias were mostly low. None of the global or local tests found significance. Compared with placebo, atorvastatin significantly reduced the severity of depressive symptoms (mean difference −3.46, 95% confidence interval −5.26 to −1.67). Atorvastatin had the first and second rank with probabilities of 44.9% and 39.0%, respectively. Comparison-adjusted funnel plots revealed no significant publication bias. Limitations : Low similarity of included studies and a relative large treatment effect of a single study were observed. Conclusions : In this first network meta-analysis, atorvastatin, with high intensity and a lipophilic effect, was identified as the optimal choice of statin for treating depression.

Published
2021

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