• 동의신경정신과학회지
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• 제32권1호
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• pp.55-66
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• 2021

Objectives: The aim of this scoping review was to analyze research trends about mental health of nurses working in Korean medicine (KM) hospitals in Republic of Korea. Methods: Searches were conducted using four electronic databases including Oriental Medicine Advanced Searching Integrated System, Korean Studies Information Service System, Research Information Sharing Service, Korea Citation Index to collect relevant studies. The search date was March 4, 2021. All studies published up to the search date were considered. Observational studies reporting mental health outcomes of nurses working at KM Hospital were included. Results: A total of 11 cross-sectional observation studies were included. Four of them compared mental health of nurses working on KM and Western medicine (WM). Commonly reported outcomes related to mental health were job satisfaction, role conflict, and work stress. As a result of meta-analysis based on a 5-point Likert scale, the following factors were related to mental health of KM nurses: job satisfaction (2.844±0.067 points), role conflict (3.678±0.058 points), work stress (3.142±0.021 points), turnover intention (3.483±0.028 points), and burnout (3.180±0.033). Compared to WM nurses, KM nurses had significantly less work stress (p=0.000), role conflict (p=0.039), and job satisfaction (p=0.000). Conclusions: Mental health problems of nurses are known to be very common. Although improving them is an important social task, studies on mental health of KM nurses remain insufficient. Based on findings of this study, more cooperation between nurses and KM doctors should be made to improve the mental health of KM nurses, especially their job satisfaction in the future. The Korean Society of Oriental Neuropsychiatry needs to pay more attention to this topic.

• 척추신경추나의학회지
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• 제16권2호
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• pp.97-105
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• 2021

Objectives This study is aimed to evaluate cost-effectiveness of treatment of Korean Medicine for whiplash associated disorders (WAD) and to suggest the direction of future research. Methods We searched papers in Pubmed database to use some keywords indicating whiplash injury syndrome, treatment of Korean Medicine and cost-effectiveness. After searching, appropriate papers were selected depending on the exclusion criteria. The selected papers were analyzed in the sections of author, publication year, intervention and control groups, outcome measurement, the list including in the cost, cost-effectiveness, cost-utility and study design. Results Four studies about effect of Korean medicine and 3 studies about economic evaluation were finally included. Acupuncture was effective for balance disorder and neck pain. Economic evaluation studies used analytical decision model or cost-consequence analysis. Cost-effectiveness analysis using visual analog scale and cost-utility analysis using quality adjusted life years were performed. Initiating timing of proper management affected the consequence of treatments. Direct and indirect medical costs including supportive devices, and non-medical costs such as litigation were considered. Conclusions We conclude that studies haven't been conducted so far to evaluate the cost-effectiveness of Korean Medicine in whiplash injury syndrome. Thus, future studies are needed in this section.

• 한국콘텐츠학회논문지
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• 제22권9호
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• pp.46-63
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• 2022

디지털 기술이 비약적으로 발전하며 이를 의료 분야에 융합하려는 흐름이 심화되고 있는 가운데, 최근 연구들은 실어증 환자 대상 언어재활에 가상현실(VR)과 증강현실(AR) 및 어플리케이션을 활용한 중재를 제안해왔다. 본 연구는 이러한 실어증 환자 대상 디지털 기술 기반 언어재활을 시행한 최근 4년 (2018~2021년) 연구의 특징을 종합하고 향후 연구에 대한 시사점을 도출하고자 주제범위 문헌 고찰(scoping review)을 시행하였다. Web of Science, CINAHL, RISS에서 검색된 국내외 문헌 중 선정 기준을 만족한 총 20개의 논문을 검토한 결과, 디지털 기술을 이용하여 재활 훈련 콘텐츠에 게이미피케이션(gamification), 환자 맞춤형 개인화 등을 적용하거나 가상 의사소통 환경을 구현하여 재활 훈련을 돕는 등 새로운 형식의 재활 콘텐츠가 다양한 방식으로 시도되고 있음을 확인하였다. 이러한 디지털 기술 기반 언어재활은 기존 언어재활의 한계점을 보완할 수 있는 새로운 방식의 재활 훈련 콘텐츠를 제시할 수 있을 것으로 기대된다.

• 한국임상약학회지
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• 제32권4호
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• pp.288-302
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• 2022

Objective: Community pharmacists are frontline health care providers, but have been considered as underutilized professionals on a daily basis. The purpose of this scoping review was to identify information about the impact of the COVID-19 pandemic on community pharmacy services and to evaluate new services that could be applicable. Methods: We searched MEDLINE and EMBASE for studies published up to January 10, 2020. Search terms consisted of keywords relevant to this review, including "COVID-19", "community pharmacy", and "community pharmacist". This review targeted studies of pharmacist services provided by community pharmacies in OECD member countries during the COVID-19 pandemic period. Results: Twenty-seven studies were included in this review. Changes in community pharmacist services due to the COVID-19 pandemic were broadly classified into four categories. First, as the face-to-face services became challenging, various non-face-to-face services were being tried. Second, community pharmacists directly participated in the services to prevent the spread of COVID-19. Third, community pharmacists made efforts to support continuity of care for patients who experienced difficulties due to the reduced professional care as health and medical resources are concentrated in response to COVID-19. Fourth, community pharmacist services were emerging, targeting patients suffering from greater health inequality during the pandemic. Patients expressed high demand and satisfaction for the service of the community pharmacist, and pharmacists reported self-efficacy and professional pride. Conclusion: This study demonstrated that in the era of the COVID-19 pandemic, various community pharmacist services have been tried and received positive evaluations from patients in several OECD countries.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제49권1호
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• pp.2-12
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• 2023

The current study aimed to explore the types and frequencies of uncommon complications associated with third molar extractions based on a scoping review of case reports and case series. The study used an electronic literature search based on PubMed and Embase up to March 31, 2020, with an update performed on October 22, 2021. Any case reports and case series that reported complications associated with third molar extractions were included. The types of complications were grouped and the main symptoms of each type of complication were summarized. A total of 51 types of uncommon complications were identified in 248 patients from 186 studies. Most types of complications were post-operative. In the craniofacial and cervical regions, the most frequent complications included iatrogenic displacement of the molars or root fragments in the craniofacial area, late mandibular fracture, and subcutaneous emphysema. In other regions, the most frequent complications include pneumomediastinum, pneumorrhachis, pneumothorax, and pneumopericardium. Of the patients, 37 patients had life-threatening uncommon complications and 20 patients had long-term/irreversible uncommon complications associated with third molar extractions. In conclusion, a variety of uncommon complications associated with third molar extractions were identified. Most complications occurred in the craniofacial and cervical regions and were mild and transient.

• 한국보건간호학회지
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• 제37권1호
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• pp.80-96
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• 2023

Purpose: This study examined the trends in domestic research that applied theory to diabetes patients to suggest future directions of nursing practice and research for diabetes patients. Methods: This scoping review followed the Joanna Briggs Institute guidance. The population was diabetes patients; the concept was a research that applied theory and had no limitations in context. Eligible studies were retrieved from electronic databases of RISS, KMbase, KoreaMed, NDSL, NAL, and nine major domestic nursing journals. Of the 509 retrieved articles, 20 studies met the inclusion criteria. Results: The study included the community (57.1%), and the subjects were mainly type 2 diabetes patients (42.9%). The Information-Motivation-Behavior skills (IMB) model was the most applied theory (36.4%). The theories were primarily from psychology disciplines (72.7%) and predominantly applied as a conceptual framework of the study (55%). Conclusion: The studies that applied theory were conducted mainly in the community. The IMB model was the most applied theory, and the theory was most applied as the conceptual framework. Efforts to close the theory-practice gap and further studies on developing nursing interventions based on theory and verifying their effectiveness are needed to improve nursing practice and study for diabetic patients.

• 한국보건간호학회지
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• 제37권1호
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• pp.5-24
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• 2023

Purpose: The objective of this review was to identify the research trends in Information and Communication Technology (ICT)-based health-related intervention studies for children and adolescents published in South Korea over the past 10 years. Methods: A scoping review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) and the system classification framework for digital health intervention 1.0 of the World Health Organization (WHO) was applied to analyze how technology was being used to support the needs of the health system. Results: A total of 18 studies were included in the final analysis. The participants were mainly children with a variety of diseases. No studies had used innovative technology platforms such as artificial intelligence (AI), the Internet of Things (IoT), and robotics. In addition, the scope of application of the WHO classification criteria was quite limited. Finally, no intervention study considered technical operational indicators, such as the number of website visits and streaming as outcome measurements. Conclusions: Researchers should introduce advanced technology-based strategies to provide customized and professional healthcare services to children and adolescents in South Korea and continue efforts to integrate innovative ICT for various research purposes, subjects, and environments.

• Imaging Science in Dentistry
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• 제53권2호
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• pp.101-108
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• 2023

Purpose: The aim of this study was to conduct a scoping review and meta-analysis to provide overall estimates of the recall and precision of artificial intelligence for detection and segmentation using oral and maxillofacial cone-beam computed tomography (CBCT) scans. Materials and Methods: A literature search was done in Embase, PubMed, and Scopus through October 31, 2022 to identify studies that reported the recall and precision values of artificial intelligence systems using oral and maxillofacial CBCT images for the automatic detection or segmentation of anatomical landmarks or pathological lesions. Recall (sensitivity) indicates the percentage of certain structures that are correctly detected. Precision (positive predictive value) indicates the percentage of accurately identified structures out of all detected structures. The performance values were extracted and pooled, and the estimates were presented with 95% confidence intervals(CIs). Results: In total, 12 eligible studies were finally included. The overall pooled recall for artificial intelligence was 0.91 (95% CI: 0.87-0.94). In a subgroup analysis, the pooled recall was 0.88 (95% CI: 0.77-0.94) for detection and 0.92 (95% CI: 0.87-0.96) for segmentation. The overall pooled precision for artificial intelligence was 0.93 (95% CI: 0.88-0.95). A subgroup analysis showed that the pooled precision value was 0.90 (95% CI: 0.77-0.96) for detection and 0.94 (95% CI: 0.89-0.97) for segmentation. Conclusion: Excellent performance was found for artificial intelligence using oral and maxillofacial CBCT images.

• Journal of Korean Neurosurgical Society
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• 제66권6호
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

• Imaging Science in Dentistry
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• 제53권4호
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• pp.271-281
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• 2023

Purpose: The objective of this scoping review was to investigate the applicability and performance of various convolutional neural network (CNN) models in tooth numbering on panoramic radiographs, achieved through classification, detection, and segmentation tasks. Materials and Methods: An online search was performed of the PubMed, Science Direct, and Scopus databases. Based on the selection process, 12 studies were included in this review. Results: Eleven studies utilized a CNN model for detection tasks, 5 for classification tasks, and 3 for segmentation tasks in the context of tooth numbering on panoramic radiographs. Most of these studies revealed high performance of various CNN models in automating tooth numbering. However, several studies also highlighted limitations of CNNs, such as the presence of false positives and false negatives in identifying decayed teeth, teeth with crown prosthetics, teeth adjacent to edentulous areas, dental implants, root remnants, wisdom teeth, and root canal-treated teeth. These limitations can be overcome by ensuring both the quality and quantity of datasets, as well as optimizing the CNN architecture. Conclusion: CNNs have demonstrated high performance in automated tooth numbering on panoramic radiographs. Future development of CNN-based models for this purpose should also consider different stages of dentition, such as the primary and mixed dentition stages, as well as the presence of various tooth conditions. Ultimately, an optimized CNN architecture can serve as the foundation for an automated tooth numbering system and for further artificial intelligence research on panoramic radiographs for a variety of purposes.