Objective: The objective of this study is to conduct a systematic review of the literature of how portable electronic technologies with offline functionality are perceived and used to provide health education in resource-limited settings.
Methods: Three reviewers evaluated articles and performed a bibliography search to identify studies describing health education delivered by portable electronic device with offline functionality in low- or middle-income countries. Data extracted included: study population; study design and type of analysis; type of technology used; method of use; setting of technology use; impact on caregivers, patients, or overall health outcomes; and reported limitations.
Results: Searches yielded 5514 unique titles. Out of 75 critically reviewed full-text articles, 10 met inclusion criteria. Study locations included Botswana, Peru, Kenya, Thailand, Nigeria, India, Ghana, and Tanzania. Topics addressed included: development of healthcare worker training modules, clinical decision support tools, patient education tools, perceptions and usability of portable electronic technology, and comparisons of technologies and/or mobile applications. Studies primarily looked at the assessment of developed educational modules on trainee health knowledge, perceptions and usability of technology, and comparisons of technologies. Overall, studies reported positive results for portable electronic device-based health education, frequently reporting increased provider/patient knowledge, improved patient outcomes in both quality of care and management, increased provider comfort level with technology, and an environment characterized by increased levels of technology-based, informal learning situations. Negative assessments included high investment costs, lack of technical support, and fear of device theft.
Conclusions: While the research is limited, portable electronic educational resources present promising avenues to increase access to effective health education in resource-limited settings, contingent on the development of culturally adapted and functional materials to be used on such devices.
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http://dx.doi.org/10.1177/1757975917715035 | DOI Listing |
Front Hum Neurosci
January 2025
Student Affairs Office, Guilin Normal College, Guilin, China.
Introduction: Attention classification based on EEG signals is crucial for brain-computer interface (BCI) applications. However, noise interference and real-time signal fluctuations hinder accuracy, especially in portable single-channel devices. This study proposes a robust Kalman filtering method combined with a norm-constrained extreme learning machine (ELM) to address these challenges.
View Article and Find Full Text PDFACS Sens
January 2025
Interdisciplinary Research Division Smart HealthCare, Indian Institute of Technology Jodhpur, Jodhpur 342030, India.
Electronic nose (e-nose) systems are well known in breath analysis because they combine breath printing with advanced and intelligent machine learning (ML) algorithms. This work demonstrates development of an e-nose system comprising gas sensors exposed to six different volatile organic compounds (VOCs). The change in the voltage of the sensors was recorded and analyzed through ML algorithms to achieve selectivity and predict the VOCs.
View Article and Find Full Text PDFFood Chem
January 2025
School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China. Electronic address:
Carbon dots (CDs), one type of zero-dimensional carbon nanomaterial, showed extensive application in food analysis. Herein, CDs as fluorometry and colorimetry probes were developed to determine peroxydisulfate (PDS) and phosphate ion (Pi) in food samples. CDs were developed with one-pot hydrothermal process from 5-amino salicylic acid and o/m-phenylenediamine named o/m-CDs.
View Article and Find Full Text PDFFood Chem
January 2025
Ministry of Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules, Hubei Province Key Laboratory of Biotechnology of Chinese Traditional Medicine, College of Health Science and Engineering, Hubei University, Wuhan 430062, China; School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; HuaShan Technology Company Limited, Qianjiang 433136, China. Electronic address:
Highly sensitive and portable pesticide residues detection are indispensable for safeguarding food safety and environmental health. Herein, we introduce a one-step vacuum filtration strategy for the scalable production of cobalt-based conjugated coordination polymers (CoCCPs) electrode arrays, utilizing carboxylated single-walled carbon nanotubes (c-SWNTs) as bonding bridges (CoCCPs@c-SWNTs). Due to their abundant active sites and high conductivity, the CoCCPs@c-SWNTs arrays exhibit superior electrochemical performance (e.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Education Department of Guangxi Zhuang Autonomous Region, Laboratory of Optic-electric Chemo/Biosensing and Molecular Recognition, Guangxi Collaborative Innovation Center for Chemistry and Engineering of Forest Products, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, School of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China. Electronic address:
Sugarcane smut is a widespread fungal disease, which severely impairs the quality and sugar yield of sugarcane. Early detection is crucial for mitigating its impact, which makes the development of a highly sensitive and accurate detection method essential. Herein, the Mn-doped zeolite imidazolate framework (ZIF-67), synthesized via a nano-confined-reactor approach, is designed to significantly enhance electron transport and boost the enzyme loading capacity within biofuel cells, thereby potentially enhancing their overall performance.
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