Background: The use of visual methods in qualitative evidence synthesis (QES) adds a valuable dimension to the synthesis process by enhancing understanding and knowledge generation. Visual methods are currently underused and underreported in QES.
Methods: This is the first study to describe accessible visual methods that support various stages of QES and to show the application of visual methods to a Cochrane QES of 43 studies using meta-ethnography and systematic review methods. This study also addresses the involvement of stakeholders including the public, practical considerations of equity, diversity, inclusion, and reflexivity in the selection and application of visual methods.
Results: In a novel approach, the review authors utilized a combination of remote and in-person visual methods to initiate and develop their synthesis, involving stakeholders throughout the process. The review authors used methods including paper labels, cartoons, infographics, virtual whiteboards, and diagrams. The rigorous use of visual methods in the QES facilitated data visualization, remote analysis meetings, interpretation of extensive data, and meaningful patient and public involvement.
Conclusion: QES authors are encouraged to consider the use of visual methods, particularly when involving the public in the synthesis process. When selecting visual methods, authors should consider how they align with the study's objectives, suit the stage of synthesis, might enhance analysis, their available resources, and the team's technical skills.
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http://dx.doi.org/10.1002/cesm.70009 | DOI Listing |
Biosens Bioelectron
January 2025
School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, China. Electronic address:
The exploration of the mitochondrial apoptotic pathway in living cells is of great significance for achieving tumor diagnosis and treatment. However, visualization of the mitochondrial apoptotic pathway induced by specific proteins has rarely been reported. In this paper, we designed and synthesized a fluorescent probe Cy-JQ1 based on the bromodomain-containing protein 4 (BRD4) inhibition.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, Shanghai Collaborative Innovation Center for Biomanufacturing Technology, East China University of Science and Technology, Shanghai, 200237, China; School of Chemistry and Chemical Engineering, Shihezi University, Xinjiang, 832000, China. Electronic address:
RNA imaging technology is essential for understanding the complex RNA regulatory mechanisms and serves as a powerful tool for disease diagnosis. However, conventional RNA imaging methods often require multiple fluorescent tags for the specific labeling of individual targets, complicating both the imaging process and subsequent analysis. Herein, we develop an RNA sensor that integrates a blocked CRISPR RNA (crRNA)-based conformational switch with a controllable CRISPR activation (CRISPRa) system and apply for RNA imaging.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Centre for Advanced Optoelectronic Functional Materials Research and Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, 130024, Changchun, China. Electronic address:
The development of integrated multiple signal outputs within a single platform is highly significant for efficient and accurate on-site biomarker detection. Herein, colorimetric/electrochemical dual-mode microfluidic paper-based analytical devices (μPADs) were designed for portable, visual and accurate dopamine (DA) detection. The dual-mode μPADs, featuring folded structure, integrate a colorimetric layer and an electrochemical layer using wax printing and laser-induced graphene (LIG) pyrolysis techniques, allowing the vertical flow of analyte solution.
View Article and Find Full Text PDFJMIR Hum Factors
January 2025
Department of Value Improvement, St. Antonius Hospital, Nieuwegein, Netherlands.
Background: Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
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