ArticleBMC medical education2019
Facilitating learning of community-based rehabilitation through problem-based learning in higher education.
Article in BMC medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Cultivating Empathy and Compassion Through Sim-Tech: A Reflective Action Research Study Enhancing Community-Based Interventions for Marginalised Groups.The British journal of occupational therapy · 2026Article
- Leveraging Learning Analytics to Model Student Engagement in Graduate Statistics: A Problem-Based Learning Approach in Agricultural Education.Behavioral sciences (Basel, Switzerland) · 2025Article
- Design and implementation of a community-based rehabilitation curriculum for training multidisciplinary rehabilitation teams to serve people aging with disabilities.Fujita medical journal · 2025Article
- Application of PBL Mode in a Resident-Focused Perioperative Transesophageal Echocardiography Training Program: A Perspective of MOOC Environment.Advances in medical education and practice · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
backgroundThe quality of community-based rehabilitation (CBR) personnel is one of the key factors that contributes to the success of CBR programs. Integrating knowledge and practical skills in various stages of the learning process is essential in community-based rehabilitation. Problem-based learning (PBL) is a pedagogical strategy that uses real-world situations as the basis for developing knowledge and problem-solving skills. Through PBL, learners are guided and facilitated in assuming active problem-solving roles in real-world situations. This study developed and tested a framework and a PBL protocol for use in teaching community-based rehabilitation (CBR) in higher education.
methodsPart I of this study focused on the development of a framework and a protocol for PBL. An initial framework for the development of this protocol was formed based on a review of relevant literature. Concrete guidelines were delineated to describe the application, process, and delivery of teaching and learning. PBL was implemented in three CBR related courses. Students were facilitated to learn CBR in passing various stages of PBL through a self-directed learning process. The cumulative efforts of each group were compiled, recorded, and displayed using e-portfolios. In Part II, the processes and outcomes of using this new learning mode were evaluated using a case study approach to examine the protocol's efficacy. Focus group interviews, a questionnaire, and a detailed examination of the e-portfolios were administered for evaluation.
resultsOne hundred thirty-three students from three CBR related courses were recruited. PBL was regarded as an effective, realistic and practical method that enables critical thinking in CBR. Practicality was addressed by covering context-related materials with the use of real cases or examples. Participants were actively engaged in the learning process and their CBR competence was enhanced.
conclusionsThrough the new protocol, the students were equipped with active learning, critical thinking, and problem-solving skills that should facilitate success in CBR.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.