Background: Midwives are always involved in educational activities whenever novice midwives are present. Although various scales for measuring the educational competencies of nurses have already been developed in previous studies, a scale for the educational competencies particular to midwives has yet to be developed, or even no previous studies have revealed their functions as clinical educators.
Objectives: The purpose of this study was to develop a scale to measure the mentoring competencies of clinical midwives (MCCM Scale) and to confirm its validity and reliability.
Design: An exploratory quantitative research study.
Methods: Questionnaires were distributed to 1,645 midwives at 148 facilities who had previously instructed novice midwives. 1,004 midwives (61.0%) voluntarily returned valid responses and 296 (18.0%) voluntarily agreed to participate in the survey for test-retest reliability.
Results: Exploratory factor analyses were performed over 41 items and the following seven factors were extracted with a reliability coefficient (Cronbach's α) of 0.953: (i) supporting experimental study, (ii) personal characteristics particularly in clinical educators, (iii) thoughtfulness and empathy for new midwives, (iv) self-awareness and self-reflection for finding confidence, (v) making effective use of the new midwives' own experience, (vi) commitment to educational activities, and (vii) sharing their midwifery practice. Test-retest reliability was measured based on a convenience sample of 246 (83.1%). Pearson's test-retest correlation coefficient for the entire scale was r=0.863. The factor loadings of each item on its respective factor were 0.313-0.925. The total score of the MCCM Scale was positively correlated with that of the Quality of Nurses' Occupational Experience Scale (r=0.641, p=0.000) and was negatively correlated with the total score of the Japanese Burnout Scale (r=-0.480, p=0.000).
Conclusion: The MCCM Scale is composed of 41 items and three subscales measured from a total of seven factors. The validity and reliability of the MCCM Scale was supported by the statistical analyses.
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http://dx.doi.org/10.1016/j.nedt.2016.03.021 | DOI Listing |
Front Plant Sci
May 2024
Electrical and Information Engineering College, Jilin Agricultural Science and Technology University, Jilin, China.
Currently, foliar diseases of chili have significantly impacted both yield and quality. Despite effective advancements in deep learning techniques for the classification of chili leaf diseases, most existing classification models still face challenges in terms of accuracy and practical application in disease identification. Therefore, in this study, an optimized and enhanced convolutional neural network model named MCCM (MCSAM-ConvNeXt-MSFFM) is proposed by introducing ConvNeXt.
View Article and Find Full Text PDFUnderwater images frequently experience color distortion and blurred details due to the absorption and scattering of light, which can hinder underwater visual tasks. To address these challenges, we propose a dual-stream fusion network for enhancing underwater images. Our multi-scale turbidity restoration module (MTRM) adopts a two-stage dehazing process from coarse to fine, while employing the SOS boosting strategy and frequency-based dense connections to further improve the performance of the U-Net.
View Article and Find Full Text PDFComput Biol Med
December 2023
College of Artificial Intelligent, Chongqing University of Technology, Chongqing 401135, China. Electronic address:
Medical image segmentation plays a crucial role in clinical assistance for diagnosis. The UNet-based network architecture has achieved tremendous success in the field of medical image segmentation. However, most methods commonly employ element-wise addition or channel merging to fuse features, resulting in smaller differentiation of feature information and excessive redundancy.
View Article and Find Full Text PDFDentomaxillofac Radiol
October 2023
Department of Oral Medicine, Infection and Immunity, Division of Periodontology, Harvard School of Dental Medicine, Boston, MA, United States.
Objective: To characterize different allogeneic and xenogeneic soft tissue graft substitutes and to assess their echo intensity and grayscale texture-related outcomes by using high-frequency ultrasonography (HFUS).
Methods: Ten samples from each of the following biomaterials were scanned using HFUS: bilayered collagen matrix (CM), cross-linked collagen matrix (CCM), multilayered cross-linked collagen matrix (MCCM), human-derived acellular dermal matrix (HADM), porcine-derived acellular dermal matrix (PADM), collagen tape dressing (C) and dental implants (IMPs). The obtained images were then imported in a commercially available software for grayscale analysis.
Crit Care Med
June 2020
Columbia University College of Physicians & Surgeons/New York-Presbyterian Hospital, New York, NY.
Objectives: To define the role of the intensivist in the initiation and management of patients on extracorporeal membrane oxygenation.
Design: Retrospective review of the literature and expert consensus.
Setting: Series of in-person meetings, conference calls, and emails from January 2018 to March 2019.
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