Background: Limited Health Literacy (HL) is an obstacle to accessing and receiving optimal health care and negatively impacts patients' quality of life, thus making it an urgent issue in the health care system. Visual-based interventions are a promising strategy to improve HL through the use of visual aids and pictorial materials to explain health-related concepts. However, a comprehensive summary of the literature on the topic is still scarce.
Methods: To fill this gap, we carried out a systematic review and meta-analysis with the aim to determine the effectiveness of visual-based interventions in improving comprehension of health related material in the clinical population. Independent studies evaluating the effectiveness of visual-based interventions on adults (> 18 years) and whose primary outcome was either health literacy (HL) or comprehension were eligible for the review. After a systematic literature search was carried out in five databases, 28 studies met the inclusion criteria and thus were included. Most of the studies were randomized controlled trials and they focused on HL and health knowledge as outcomes.
Results: The review and meta-analysis showed that visual-based interventions were most effective in enhancing the comprehension of health-related material compared to traditional methods. According to meta-analytic results, videos are more effective than traditional methods (Z = 5.45, 95% CI [0.35, 0.75], p < 0.00001) and than the employment of written material (Z = 7.59, 95% CI [0.48, 0.82], p < 0.00001). Despite this, no significant difference was found between video and oral discussion (Z = 1.70, 95% CI [-0.46, 0.53], p = 0.09).
Conclusions: We conclude that visual-based interventions, particularly the ones using videos, are effective for improving HL and the comprehension of health-related material.
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http://dx.doi.org/10.1186/s12913-024-11138-1 | DOI Listing |
Behav Sci (Basel)
November 2024
Nanyang Academy of Fine Arts, University of the Arts Singapore, Singapore 189655, Singapore.
Musical experiences in early piano instruction tend to be led by visual-based methods, limiting opportunities to develop aural abilities for children to understand music. This study examines the exploratory behaviour of music listening through auditory approaches that support visual-based methods to foster musical comprehension. Drawing from case studies of young music learners between the ages of 7 and 8, qualitative data were collected through lesson observations, interviews, game-based assessments, and performance evaluations of a prepared piece.
View Article and Find Full Text PDFBackground: Foot strike patterns during running are typically categorized into two types: non-rearfoot strike (NRFS) and rearfoot strike (RFS), or as three distinct types: forefoot strike (FFS), midfoot strike (MFS), and RFS, based on which part of the foot lands first. Various methods, including two-dimensional (2D) visual-based methods and three-dimensional (3D) motion capture-based methods utilizing parameters such as the strike index (SI) or strike angle (SA), have been employed to assess these patterns. However, the consistency between the results obtained from each method remains debatable.
View Article and Find Full Text PDFPurpose: It was aimed to investigate the effects of Ayres Sensory Integration based intervention on balance, speech, and sensory processing skills of a 4-years and 11-month-old child with bilateral incomplete partition type 1 inner ear anomaly and using bilateral cochlear implant.
Method: The child received the Ayres sensory integration-based intervention program for 2 months in 45-minute sessions twice a week. Before and after the intervention, Meaningful Auditory Integration Scale, Categories of Auditory Performance-II for auditory perception evaluation, Test of Early Language Development -Third Edition, Speech intelligibility rating test for evaluating language-speech skills, Evaluation in Ayres Sensory Integration® (EASI), and Dunn Sensory Profile for sensory processing skills were used.
Comput Biol Med
November 2024
Microwaves in Medical Engineering Group, Division of Solid State Electronics, Department of Electrical Engineering, Uppsala University, Box 65 SE-751 03, Uppsala, Sweden. Electronic address:
Efficient extraction and analysis of histopathological images are crucial for accurate medical diagnoses, particularly for prostate cancer. This research enhances histopathological image reclamation by integrating Visual-Based Image Reclamation (VBIR) techniques with contrast-limited adaptive Histogram Equalization (CLAHE) and the Gray-Level Co-occurrence Matrix (GLCM) algorithm. The proposed method leverages CLAHE to improve image contrast and visibility, crucial for regions with varying illumination, and employs a non-linear Support Vector Machine (SVM) to incorporate GLCM features.
View Article and Find Full Text PDFClin Imaging
November 2024
Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, United States of America. Electronic address:
Large Language Models (LLM) like ChatGPT-4 hold significant promise in medical application, especially in the field of radiology. While previous studies have shown the promise of ChatGTP-4 in textual-based scenarios, its performance on image-based response remains suboptimal. This study investigates the impact of prompt engineering on ChatGPT-4's accuracy on the 2022 American College of Radiology In Training Test Questions for Diagnostic Radiology Residents that include textual and visual-based questions.
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