Trial reportAging clinical and experimental research2021
Video-based learning versus traditional lecture-based learning for osteoporosis education: a randomized controlled trial.
Trial report in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of problem-based learning in orthopaedics education: a systematic review and meta-analysis of randomized controlled trials.BMC medical education · 2024Pooled it
- Application of case-based learning combined with three-dimensional image reconstruction technology in clinical teaching of liver ultrasound.BMC medical education · 2026Trial
- Development and effectiveness of a BOPPPS teaching model-based workshop for community pharmacists training.BMC medical education · 2024Trial
- Application of the combination of three-dimensional visualization with a problem-based learning mode of teaching to spinal surgery teaching.BMC medical education · 2022Trial
- Improving medical student recruitment into neurosurgery through teaching reform.BMC medical education · 2022Trial
- Effect of coordinator-based osteoporosis intervention on quality of life in patients with fragility fractures: a prospective randomized trial.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022Trial
- Effectiveness of expert-assisted video-based learning on disease-specific knowledge among hospitalized chronic obstructive pulmonary disease patients.Journal of education and health promotion · 2026Article
- Flashcards versus educational video: A comparison in order to promote laparoscopic surgical instrument learning.Journal of education and health promotion · 2025Article
- Application effect of problem-based learning teaching model in respiratory critical medicine.Frontiers in medicine · 2025Article
- The reliability and quality of short videos as health information of guidance for bowel sounds: a cross-sectional study.Frontiers in public health · 2025Article
- A cross-sectional survey unveiling the imperatives for continuing education and discipline development in pain medicine.Frontiers in medicine · 2025Article
- The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.Frontiers in public health · 2024Article
- Comparison between linear regression and four different machine learning methods in selecting risk factors for osteoporosis in a Chinese female aged cohort.Journal of the Chinese Medical Association : JCMA · 2023Article
- The impact of the COVID-19 pandemic on sleep and the implications for future health service delivery.Sleep & breathing = Schlaf & Atmung · 2023Article
- Quality of Life and Depression Status of Caregivers of Patients with Femoral Neck or Intertrochanteric Femoral Fractures during the First Year after Fracture Treatment.Orthopaedic surgery · 2023Article
- Quality improvement initiatives in the care and prevention of fragility fractures in the Asia Pacific region.Archives of osteoporosis · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient education about osteoporosis is an important component of osteoporosis treatment.
aimTo compare the effectiveness of osteoporosis education between video-based learning and traditional lecture-based learning.
methodsParticipants who attended the Outpatient Department of Siriraj Hospital during June 2017 to November 2017 were recruited. Ten-question pre- and post-tests were used to evaluate participant osteoporosis knowledge. After finishing the pre-test, patients were randomized to receive osteoporosis education via either traditional lecture-based or video-based learning for 25 min. After the training, patient questions about the subject matter were answered, and then the post-test was administered. Change in score was compared between groups using non-inferiority test at a non-inferiority margin of - 1.
resultsOf 413 participants, 207 and 206 people were allocated to the lecture-based group and the video-based group, respectively. There were no significant differences in baseline characteristics, change in score between pre-test and post-test, or change in score between pre-test and retention test between groups. Non-inferiority test revealed the change in score after video-based learning to be non-inferior to traditional lecture-based learning at a difference of > - 1, α = 0.05 (p < 0.001). DISCUSSION: Video-based osteoporosis education can be used as part of a fracture liaison service to provide essential information about osteoporosis to both patients and caregivers. Video-based education is an efficient and effective tool that will reduce dependency on clinicians to provide lecture-based osteoporosis instruction.
conclusionsSince video- and lecture-based education were found to be equally effective, a standard package for both education techniques should be developed and implemented for all patients.
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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.