• Child Health Nursing Research
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• 제24권3호
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• pp.263-273
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• 2018

Purpose: This study analyzes meaning-centered intervention studies conducted in Korea and abroad to compare and confirm their characteristics and results. Methods: A literature search using keywords in English and Korean was performed using nine electronic databases in December 2017. Search participants included adolescents, and interventions conducted in meaning-centered intervention studies were selected for evaluation. A Risk of Bias Assessment tool for non-randomized studies was used for quality assessment. Results: All studies were based on quasi-experimental designs. The semantic intervention included topics such as freedom, choice, responsibility, pain, death, finding value of life, purpose and meaning of life, and becoming a master of my life. All studies used logotherapy, and included meaningful interventions that influenced the meaning and purpose of the life of adolescents. The life satisfaction of adolescents changed significantly when there is a positive and open relationship with their parents. Therefore, an educational program for parents based on meaning therapy is desperately needed. Conclusion: Meaning-centered interventions were found to be effective interventions for exploring the meaning of life not only for adolescents with problems but also for healthy youth, and as such could be used as basic data for the development of an appropriate intervention for enhancing their life.

• 여성건강간호학회지
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• 제23권4호
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• pp.221-232
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• 2017

Purpose: This study aimed to conduct a systematic review and to describe characteristics of the birth experience assessment instrument. Methods: Literature related to the development of the birth experience assessment instrument was examined using a systematic review method. A literature search was conducted using the keywords as '[normal birth]; [$satisfac^*$ OR care quality]; [instrument OR scale] AND (development)' through PubMed, CINAHL, SCOPUS, PsycINFO, and RISS. The search used quality appraisal through QUADAS (Quality Assessment of studies of Diagnostic Accuracy included Systemic reviews) yielding 17 records. Results: The birth experience assessment instrument was categorized for instrumental characteristics: birth satisfaction (n=8), perception of labor experience (n=5), and birth care quality assessment in normal and operative birth experiences (n=4). Important key elements for content characteristics were as follows: nursing practice (n=10), pain control (n=5), environment (n=5), participation (n=4), and support (n=4). Conclusion: This study demonstrated that the birth experience instrument is appropriate for measuring quality of birth care in various clinical conditions. This review of the birth experience instrument reports that an appropriate psychometric tool for enhancing quality of birth care is important.

• Perspectives in Nursing Science
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• 제13권1호
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• pp.1-9
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• 2016

Purpose: The purpose of this study was to identify the current state of research on healthcare professionals who make medical errors, who are known as "second victims", and support systems for them. Methods: An extensive search was conducted in electronic databases, Google, and websites related to patient safety using search terms such as "second victims", "medical errors", "adverse events", and "sentinel events". Results: Research to date in Korea has rarely focused on healthcare professionals' experiences after making medical errors. Abroad, there are comprehensive and systematic reviews of the impact of medical errors on healthcare professionals, their coping responses, and support systems for these second victims. Additionally, several institutes related to patient safety provide official guidelines and accessible support systems to support second victims in the aftermath of medical errors, especially serious adverse events. Conclusion: The impact of medical errors on healthcare professionals is profound and complex. Although systematic support systems for second victims are imperative, this has been overlooked in Korea. Thus, more research about the experiences of healthcare professionals after medical errors needs to be conducted prior to developing support systems or programs. Additionally, further efforts are required to raise awareness of the necessity of supporting healthcare professionals in healthcare systems.

• Knee surgery & related research
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• 제30권4호
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• pp.356-363
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• 2018

Purpose: A meta-analysis was performed to assess the outcomes following surgical intervention for medial knee plica. Materials and Methods: A literature search of Medline, EMBASE, CINAHL and Cochrane CENTRAL was performed using relevant key words. The primary outcome was patient-reported postoperative scores of "good" and "excellent". Meta-analyses were performed using a random effects model. Results: The literature search identified 731 articles. After removing duplicates and those not meeting the inclusion criteria, 12 articles reporting on a total of 643 knees were included for analysis, and of these, 7 articles including 235 knees were used for meta-analysis. The overall rate of good and excellent outcomes following surgery was estimated at 84.2% (95% confidence interval [CI], 72.8-91.4). In those cases that had non-surgical therapy prior to surgery, the rate of good and excellent outcomes of surgery was estimated at 76.1% (95% CI, 60.1-87). Conclusions: Arthroscopic surgical management of symptomatic medial knee plica results in favourable outcomes. Our results suggest that arthroscopic surgical excision should be considered as a treatment modality in patients with pathological medial plica disease of the knee either as a first-line treatment or when symptoms have not responded to non-surgical interventions. Level of Evidence: IV.

• Child Health Nursing Research
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• 제29권1호
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• pp.24-36
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• 2023

Purpose: This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness. Methods: A literature search was conducted between May 1 and 30, 2022 in the following electronic databases: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and CINAHL. The search period was from 2000 to 2022. In total, 6,095 articles were reviewed according to the inclusion and exclusion criteria, and 14 articles were selected for the final content analysis and 10 for the meta-analysis. Data analysis was performed using descriptive statistics and the Comprehensive Meta-Analysis program. Results: XR-based pediatric nursing simulation programs have increased since 2019. Studies using virtual reality with manikins or high-fidelity simulators were the most common, with six studies. The total effect size was statistically significant at 0.84 (95% confidence interval=0.50-1.19, z=4.82, p<.001). Conclusion: Based on the findings, we suggest developing standardized guidelines for the operation of virtual pediatric nursing simulation education and practice. Simultaneously, the application of more sophisticated research designs for effect measurement and the combined applications of various virtual simulation methods are needed to validate the most effective simulation methodology.

• 한국임상수의학회지
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• 제40권4호
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• pp.243-259
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• 2023

Machine learning and deep learning (ML/DL) algorithms have been successfully applied in medical practice. However, their application in veterinary medicine is relatively limited, possibly due to a lack in the quantity and quality of relevant research. Because the potential demands for ML/DL applications in veterinary clinics are significant, it is important to note the current gaps in the literature and explore the possible directions for advancement in this field. Thus, a scoping review was conducted as a situation analysis. We developed a search strategy following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed and Embase databases were used in the initial search. The identified items were screened based on predefined inclusion and exclusion criteria. Information regarding model development, quality of validation, and model performance was extracted from the included studies. The current review found 55 studies that passed the criteria. In terms of target animals, the number of studies on industrial animals was similar to that on companion animals. Quantitative scarcity of prediction studies (n = 11, including duplications) was revealed in both industrial and non-industrial animal studies compared to diagnostic studies (n = 45, including duplications). Qualitative limitations were also identified, especially regarding validation methodologies. Considering these gaps in the literature, future studies examining the prediction and validation processes, which employ a prospective and multi-center approach, are highly recommended. Veterinary practitioners should acknowledge the current limitations in this field and adopt a receptive and critical attitude towards these new technologies to avoid their abuse.

• 한국산업융합학회 논문집
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• 제27권3호
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• pp.701-707
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• 2024

Industry 4.0 has brought about significant changes in the roles of workers through the introduction of innovative technologies. In smart factory environments, workers are required to interact seamlessly with robots and automated systems, often utilizing equipment enhanced by Virtual Reality (VR) and Augmented Reality (AR) technologies. This study aims to systematically analyze recent research literature on monitoring the physical and mental states of workers in Industry 4.0 environments. Relevant literature was collected using the Web of Science database, employing a comprehensive keyword search strategy involving terms related to Industry 4.0 and health monitoring. The initial search yielded 1,708 documents, which were refined to 923 journal articles. The analysis was conducted using VOSviewer, a tool for visualizing bibliometric data. The study identified general trends in the publication years, countries of authors, and research fields. Keywords were clustered into four main areas: 'Industry 4.0', 'Internet of Things', 'Machine Learning', and 'Monitoring'. The findings highlight that research on health monitoring of workers in Industry 4.0 is still emerging, with most studies focusing on using wearable devices to monitor mental and physical stress and risks. This study provides a foundational overview of the current state of research on health monitoring in Industry 4.0, emphasizing the need for continued exploration in this critical area to enhance worker well-being and productivity.

• Journal of Preventive Medicine and Public Health
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• 제57권1호
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• pp.1-7
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• 2024

Objectives: Adjusting for potential confounders is crucial for producing valuable evidence in outcome studies. Although numerous studies have been published using the Korea National Health Insurance Claim Database, no study has critically reviewed the methods used to adjust for confounders. This study aimed to review these studies and suggest methods and applications to adjust for confounders. Methods: We conducted a literature search of electronic databases, including PubMed and Embase, from January 1, 2021 to December 31, 2022. In total, 278 studies were retrieved. Eligibility criteria were published in English and outcome studies. A literature search and article screening were independently performed by 2 authors and finally, 173 of 278 studies were included. Results: Thirty-nine studies used matching at the study design stage, and 171 adjusted for confounders using regression analysis or propensity scores at the analysis stage. Of these, 125 conducted regression analyses based on the study questions. Propensity score matching was the most common method involving propensity scores. A total of 171 studies included age and/or sex as confounders. Comorbidities and healthcare utilization, including medications and procedures, were used as confounders in 146 and 82 studies, respectively. Conclusions: This is the first review to address the methods and applications used to adjust for confounders in recently published studies. Our results indicate that all studies adjusted for confounders with appropriate study designs and statistical methodologies; however, a thorough understanding and careful application of confounding variables are required to avoid erroneous results.

• Journal of Power Electronics
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• 제15권3호
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• pp.670-684
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• 2015

The hybrid cascaded multilevel inverter (HCMLI) is a popular converter topology that is being increasingly used in high power medium voltage drives. The intricacy of the control technique for a HCMLI increases with the number of levels and due to fluctuating dc voltages. This paper presents a novel offline quadrant search based space vector modulation technique to synthesize a sinusoidal output from a dispersed pattern of voltage vectors due to different voltages in the auxiliary unit. Such an investigation has never been reported in the literature and it is being attempted for the first time. The method suggested distributes the voltage vectors for a reduced total harmonic distortion at minimal computation. In addition, the proposed algorithm determines the maximum modulation index in the linear modulation range in order to synthesize a sinusoidal output for both normal and abnormal vector patterns. It is better suited for a wide range of practical applications. It is particularly well suited for renewable source fed inverters which utilize large capacitor banks to maintain the dc link, which are prone to such slow fluctuations. The proposed quadrant search space vector modulation technique is simulated using MATLAB/SIMULINK and implemented using a Nexys-2 Spartan-3E FPGA for a developed prototype.

• Journal of Computational Design and Engineering
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• 제3권3호
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• pp.226-249
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• 2016

The symbiotic organisms search (SOS) algorithm is an effective metaheuristic developed in 2014, which mimics the symbiotic relationship among the living beings, such as mutualism, commensalism, and parasitism, to survive in the ecosystem. In this study, three modified versions of the SOS algorithm are proposed by introducing adaptive benefit factors in the basic SOS algorithm to improve its efficiency. The basic SOS algorithm only considers benefit factors, whereas the proposed variants of the SOS algorithm, consider effective combinations of adaptive benefit factors and benefit factors to study their competence to lay down a good balance between exploration and exploitation of the search space. The proposed algorithms are tested to suit its applications to the engineering structures subjected to dynamic excitation, which may lead to undesirable vibrations. Structure optimization problems become more challenging if the shape and size variables are taken into account along with the frequency. To check the feasibility and effectiveness of the proposed algorithms, six different planar and space trusses are subjected to experimental analysis. The results obtained using the proposed methods are compared with those obtained using other optimization methods well established in the literature. The results reveal that the adaptive SOS algorithm is more reliable and efficient than the basic SOS algorithm and other state-of-the-art algorithms.