Aim: This concept analysis aims to clarify the concept of diabetic education in nursing to provide guidance for the further conceptualization and clarification of diabetic education in nursing.
Background: Patient education is a fundamental component of diabetes care. Nurses have taken up a major role in educating people with diabetes to manage their conditions. However, the exact meaning of diabetic education in nursing remains challenging.
Design: Rodgers' evolutionary method of concept analysis was performed to explore the concept of diabetic education in nursing.
Data Source: We conducted a literature search on Cumulative Index to Nursing and Allied Health Literature (CINAHL), MedLine, and PsycInfo for works published until October 2020 using "patient education," "diabetes," and "nursing" as key terms.
Results: The concept analysis revealed that key attributes of diabetic education in nursing include patient-centered and interactive approaches, planning, and problem solving. Antecedents related to individuals with diabetes are their backgrounds, needs, and motivations, while the antecedents related to nurses are experience and attitude. Finally, three different consequences of the concept emerged: an increase in knowledge and skills, a behavioral change, and the improvement of clinical outcomes.
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http://dx.doi.org/10.1111/nuf.12620 | DOI Listing |
Curr Pharm Des
January 2025
Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India.
Diabetic Neuropathy (DN) is a widespread and severely debilitating consequence of diabetes mellitus that impairs function, causes discomfort, and damages peripheral nerves. Numerous molecular pathways are involved in the pathogenesis of DN, including cyclooxygenase, polyol, protein kinase C, and inflammatory pathways. These molecular pathways may be responsible for the mechanism behind the onset and development of DN.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Aim: To identify the barriers and enablers in the implementation of evidence-based physical activity (PA) programmes for the improvement of health outcomes among pregnant women with gestational diabetes mellitus (GDM), and to develop strategies for implementing this evidence in clinical practice.
Methods: A convergent mixed-methods study was conducted, integrating a descriptive qualitative research design with a cross-sectional survey. In-depth interview was used to collect the views and cognitions about physical activity from medical staff, leaders and pregnant women.
Biomed Tech (Berl)
January 2025
Department of Computer Science, 72937 Centre for Machine Learning and Intelligence (CMLI), Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
Objectives: Diabetic retinopathy (DR) is associated with long-term diabetes and is a leading cause of blindness if it is not diagnosed early. The rapid growth of deep learning eases the clinicians' DR diagnosing procedure. It automatically extracts the features and performs the grading.
View Article and Find Full Text PDFJ Diabetes Sci Technol
January 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Background: We evaluated the efficacy of structured individualized education combined with real-time continuous glucose monitoring (rt-CGM, Dexcom G6) in improving glycemic outcomes in insulin-treated adults with poorly controlled type 2 diabetes (T2D).
Methods: This multicenter, 16-week, single-arm study included 66 adults with T2D (multiple daily insulin [MDI]: 33; basal insulin: 33) with a ≥7.8%.
Endocrinol Diabetes Metab
January 2025
Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Objective: Gestational diabetes mellitus (GDM) is one of the most common complications during pregnancy. There is inconsistency between previous studies regarding the blood and inflammatory parameters levels among pregnant women and its association with GDM. This study aimed to investigate the relationship between blood parameters in relation to GDM.
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