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Identification of Educational Influentials (EIs) in clinical settings helps considerably to knowledge transfer among health and medical practice providers. The aim of this study was identifying EIs in diabetic foot ulcers (DFU) by medical students (clerks, interns and residents) and providing their relational pattern in this subject.
Subjects were...
Citations
... Additionally 19 two-day and 8 one-day DF workshops round the country and 2 DF vocational course based on needs and the interest of health care providers have been held [9]. With [11]. Moreover, considering continuous education about foot self-care practice is necessary for patients with DM, a study with the aim of comparing the cognitive status and foot self-care practice in overweight patients with type 2 diabetes, conducted and the result showed that regular physical activity could promote the cognitive status and foot self-care practice [12]. ...
... Other preliminary studies with the aim of wound healing are related to the various products of local therapies such as low-level laser therapy (LLLT) in which promoting the chronic healing process of wound with reduced microcirculation. Kaviani et al. [11] showed that At week 4, the size of ulcers significantly decreased in the LLLT group (p = 0.04) after 4 weeks and concluded that LLLT can improve the healing process of chronic DFUS and may shorten the period to reach complete healing [28]. Finally, a review on the role of antioxidants in the management of diabetes and its complications showed that use of antioxidants could be reduced the oxidative stress and alleviates diabetic complications [29]. ...
IntroductionDiabetic Foot (DF) as a common complication of Diabetes should be intensive intervention for prevention, management and rehabilitation. In this regard, Diabetes Research Center of Endocrinology and Metabolism Research Institute (EMRI) of Tehran University of Medical Sciences (TUMS) considered DF as a priority research area to investigate multidimensional aspects of DF care. We are intended to summarize DF research studies affiliated to the EMRI for over the last two decades.Methods
Three Electronic databases including Web of Science, PubMed, and Scopus were searched until January 2020 to find articles about DF published affiliated to EMRI. The main concepts of search strategies were “diabetes”, “Foot”. 115 documents retrieved from these databases which screened for inclusion and exclusion criteria. The visualization of the network of co-authorship of authors and co-occurrence of keywords was illustrated and documents were analyzed for content according to the Main areas of DF Research studies.Result64 related documents including original articles, reviews, letters, notes, and book chapter have included to this study. According to the objectives of the retrieved studies, DF documents and research studies categorized in the two main groups including DF prevention, classification and risk stratification in addition management of DF.Conclusion
Despite conducted research and educational activities in DF prevention and management, the following topics would be considered as well: effective offloading treatment, correcting the nutritional status for improving wound healing and novel educational strategies for diabetic foot multi-disciplinary team.
... Previous research has shown that social networks are key for developing practice among trainee doctors. [17][18][19] Knowledge about the function of networks among trainees offers important intelligence for those who aim to improve the quality of care within frontline clinical microsystems through training and influence. Most existing studies of health professionals have mapped generic social networks, without differentiating or identifying the type of information conducted. ...
Objectives
To describe the social networks that diffuse knowledge, attitudes and behaviours relating to different domains of practice within teams of trainee doctors in an acute hospital medical setting. The domains examined were ‘clinical-technical’, ‘patient centredness’ and ‘organisation of work’.
Design
Sequential mixed methods: (i) sociocentric survey of trainee consisting of questions about which colleagues are emulated or looked to for advice, with construction of social network maps, followed by (ii) semi-structured interviews regarding peer-to-peer influence, analysed using a grounded theory approach. The study took place over 24 months.
Setting
An acute medical admissions unit, which receives admissions from the emergency department and primary care, in a National Health Service England teaching hospital.
Participants
Trainee medical doctors working in five consecutive rotational teams. Surveys were done by 39 trainee doctors; then 15 different participants from a maximal diversity sample were interviewed.
Results
Clinical-technical behaviours spread in a dense network with rich horizontal peer-to-peer connections. Patient-centred behaviours spread in a sparse network. Approaches to non-patient facing work are seldom copied from colleagues. Highly influential individuals for clinical technical memes were identified; high influencers were not identified for the other domains.
Conclusion
Information and influence relating to different aspects of practice have different patterns of spread within teams of trainee doctors; highly influential individuals were important only for spread of clinical-technical practice. Influencers have particular characteristics, and this knowledge could guide leaders and teachers.
... Diyabetik ayak bakımında tele bakıma yönelik uygulamanın geliştirildiği bir çalışmada ise diyabetik ayak bakımına yönelik mobil uygulama geliştirilmiş ve bu sayede hastaların görüntülü olarak ayak muayeneleri, hasta eğitimleri, hasta hakkında karar verme ve hastanın sorularının yanıtlandırılmasının bu uygulama ile yapıldığı belirtilmiştir. Böylece hastanın, evinde rahatlıkla ayak bakımına yönelik muayene, tanı, tedavi ve eğitim mobil uygulama üzerinden yapabileceği vurgulanmıştır (51)(52)(53)(54)(55) . Bir başka çalışmada ise, yara bakımına yönelik geliştirilen mobil ağ sayesinde 2005-2015 yılları arasında 5.795 hasta incelenmiş ve geliştirilen yöntemin klinik ve sağlığa yönelik ekonomik sonuçları analiz edilmiştir. ...
... Bir başka çalışmada, diyabetik ayak bakımına yönelik geliştirilen bir eğitim uygulaması sosyal bir ağ sayesinde bir eğitim hastanesindeki uzman, stajyer ve intern doktorlara uygulanmıştır. En çok internet üzerinden ulaşımı sağlayan stajyer doktorlar olmuştur ve bunların öğrendikleri bilgiyi daha fazla aktardıkları belirtilmiştir (53) . Hastaların diyabetik ayak bakımına yönelik eğitimi, mobil uygulama sayesinde istedikleri zaman ve yerde kolaylıkla ulaşmaları eğitimin sürdürülebilirliği açısından da çok önemlidir. ...
Purpose:
Social network analysis (SNA) is a theoretical framework and analytical approach used to study relationships among individuals and groups. While SNA has been employed by many disciplines to understand the social structures and dynamics of interpersonal relationships, little is known about its use in medical education. Mapping and synthesizing the scope of SNA in undergraduate and postgraduate medical education can inform educational practice and research.
Method:
This scoping review was based on searches conducted in Medline, Embase, Scopus, and ERIC in December 2020, and updated in March 2022. After removal of duplicates, the search strategy yielded 5,284 records, of which 153 met initial inclusion criteria. Team members conducted full-text reviews, extracted relevant data, and conducted descriptive and thematic analyses to determine how SNA has been used as a theoretical and analytical approach in undergraduate and postgraduate medical education.
Results:
Thirty studies, from 11 countries, were retained. Most studies focused on undergraduate medical students, primarily in online environments, and explored students' friendships, information-sharing, and advice-seeking through SNA. Few studies included residents and attending staff. Findings suggested that SNA can be a helpful tool for monitoring students' interactions in online courses and clinical clerkships. SNA can also be used to examine the impacts of social networks on achievement, the influence of social support and informal learning outside the classroom, and the role of homophily in learning. In clinical settings, SNA can help explore team dynamics and knowledge exchange among medical trainees.
Conclusions:
While SNA has been underutilized in undergraduate and postgraduate medical education, findings indicate that SNA can help uncover the structure and impact of social networks in the classroom and the clinical setting. SNA can also be used to help design educational experiences, monitor learning, and evaluate pedagogical interventions. Future directions for SNA research in medical education are described.
Introduction:
The growing interest in networks of interactions is sustained by the conviction that they can be leveraged to improve the quality and efficiency of healthcare delivery systems. Evidence in support of this conviction, however, is mostly based on descriptive studies. Systematic evaluation of the outcomes of network interventions in healthcare settings is still wanting. Despite the proliferation of studies based on Social Network Analysis (SNA) tools and techniques, we still know little about how intervention programs aimed at altering existing patterns of social interaction among healthcare providers affect the quality of service delivery. We update and extend prior reviews by providing a comprehensive assessment of available evidence.
Methods and findings:
We searched eight databases to identify papers using SNA in healthcare settings published between 1st January 2010 and 1st May 2022. We followed Chambers et al.'s (2012) approach, using a Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. We distinguished between studies relying on SNA as part of an intervention program, and studies using SNA for descriptive purposes only. We further distinguished studies recommending a possible SNA-based intervention. We restricted our focus on SNA performed on networks among healthcare professionals (e.g., doctors, nurses, etc.) in any healthcare setting (e.g., hospitals, primary care, etc.). Our final review included 102 papers. The majority of the papers used SNA for descriptive purposes only. Only four studies adopted SNA as an intervention tool, and measured outcome variables.
Conclusions:
We found little evidence for SNA-based intervention programs in healthcare settings. We discuss the reasons and challenges, and identify the main component elements of a network intervention plan. Future research should seek to evaluate the long-term role of SNA in changing practices, policies and behaviors, and provide evidence of how these changes affect patients and the quality of service delivery.
This systematic review and meta-analysis aimed to synthesize randomized controlled trials on the impact of foot care education on knowledge, self-efficacy and behavior in patients with diabetes. A search was made using PubMed, Web of Science, Science Direct, Google Scholar, YOK National Thesis Center and Google Scholar electronic databases for studies published between March 2003-January 2022. The search medical subject headings (MeSH) terms were diabetic foot, knowledge, self-efficacy, and behavior. Studies suitable for the systematic review and the meta-analysis met the following criteria (PICOS): target participants would be diagnosed with diabetes (population), diabetic foot education (intervention), comparison of the group receiving diabetic foot care education and routine care education, and the control group receiving only routine care education (comparison), studies evaluating the levels of knowledge, self-efficacy and behavior (outcome), randomized controlled trials (study design). Twenty-six studies were included in systematic review. Three studies for knowledge, 5 studies for behavior, 8 studies for self-efficacy were included in the meta-analysis (total sample: 2534, experiment: 1464, control: 1071). All of the studies had low reporting bias. The mean duration of educations for knowledge was 5.2 months. This duration was 4.8 months for behavior and 4.5 months for self-efficacy. In the random effect (since the homogeneity test: P < .001, this model was used), there were significantly difference in terms of knowledge (standardized mean difference (SMD): 1.656, 95% [CI]: 1.014-2.299, P < .001), and behavior (SMD: 1.045, 95% CI: 0.849-1.242, P < .001). But no difference was observed in terms of self-efficacy (SMD: 0.557, 95%CI: −0.402-1.517, P > .05). The results of a systematic review of twenty-six studies and a meta-analysis of 9 studies showed that diabetic foot education improved the level of knowledge and behavior of patients with diabetes, while not affecting their self-efficacy. Educational interventions with long-term follow-up are needed to address the growing health care needs of patients with diabetes.
E-health has been grown rapidly with significant impact on quality and safety of healthcare. However, there is a large gap between the postulated and empirically demonstrated benefits of e-health technologies and a need for a clearer mapping of its conceptual domains. Therefore, this study aimed to critically review the main research topics and trends of international e-health through social network analysis.
Medical subject heading terms were used to retrieve 3,023 research articles published from 1979 through 2014 in the PubMed database. We extracted n-grams from the corpus using a text analysis program, generated co-occurrence networks, and then analyzed and visualized the networks using Pajek software. The hub and authority measures identified the most important research topics in e-health. Newly emerging topics by 4-year period units were identified as research trends.
The most important research topics in e-health are personal health records (PHR), health information technology, primary care, mobile health, clinical decision support systems (CDSS), and so on. The eight groups obtained through ego network analysis can be divided into four semantically different areas, as follows: information technology, infrastructure, services, and subjects. Also, four historical trends in e-health research are identified: the first focusing on e-health and telemedicine; the second, PHR and monitoring; the third, CDSS and alert; and the fourth, mobile health and health literacy.
This study promotes a systematic understanding of e-health by identifying topic networks, thereby contributing to the future direction of e-health research and education.
