Objective: This quasi-randomized controlled trial was performed to evaluate the effects of the PRECEDE-PROCEED model (PPM) in enabling mothers of preterm infants to develop care knowledge, skill, and a sense of competence.
Methods: Among 116 mothers of preterm infants, 60 received traditional discharge education (control group) and 56 received PPM discharge education (PPM group). Improvement in knowledge and skills was transformed into the mothers' routine daily care of infants. The primary outcome was knowledge of preterm infant care. The secondary outcomes were preterm infant care skills and a sense of competence, routine intervention compliance among mothers, and the readmission rate of infants 6 months after discharge.
Results: Six months after discharge, the mean knowledge score and mean skills score were significantly higher in the PPM group than in the control group. The mothers' sense of competence with respect to both self-efficacy and satisfaction was also significantly better in the PPM group than in the control group. Moreover, intervention behavior compliance and the readmission rate were significantly better in the PPM group than in the control group.
Conclusion: Care knowledge, skills, and sense of competence in mothers of preterm infants improved after implementation of the PPM.
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http://dx.doi.org/10.1177/03000605221110699 | DOI Listing |
Biosens Bioelectron
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Department of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA; Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address:
Wearable devices designed for the somatosensory system aim to provide event-cue feedback electronics and therapeutic stimulation to the peripheral nervous system. This prompts a neurological response that is relayed back to the central nervous system. Unlike virtual reality tools, these devices precisely target peripheral mechanoreceptors by administering specific stimuli.
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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.
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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 PDFPLoS One
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University of Michigan Medical School, Ann Arbor, MI, United States of America.
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View Article and Find Full Text PDFPLoS One
January 2025
Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea.
Citrus farming is one of the major agricultural sectors of Pakistan and currently represents almost 30% of total fruit production, with its highest concentration in Punjab. Although economically important, citrus crops like sweet orange, grapefruit, lemon, and mandarins face various diseases like canker, scab, and black spot, which lower fruit quality and yield. Traditional manual disease diagnosis is not only slow, less accurate, and expensive but also relies heavily on expert intervention.
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