• Journal of Korean Clinical Nursing Research
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• v.21 no.1
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• pp.31-42
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• 2015

Purpose: This study was done to develop evidence-based nursing practice guidelines to prevent complications related to indwelling urinary catheterization (IUC) in patients in Korea. Methods: A guideline adaptation process was conducted according to the guideline adaptation manual which consists of three main phases, and 9 modules with a total of 24 steps. Results: The newly developed IUC guideline consisted of an introduction, urinary catheterization, summary of recommendations, recommendations, references, and appendices. There were 110 recommendations in 8 sections including assessment, equipment, catheter insertion, catheter maintenance, catheter change, catheter removal, management of complications, and education/consultation. For the grade of recommendations, there were 6.4% for A, 22.7% for B, 67.3% for C. Conclusion: The IUC guideline was developed based on evidence and therefore it is recommended that this guideline be disseminated and utilized by nurses nationwide to improve the quality of care for patients with IUC and decrease complications related to IUC and that it be revised regularly.

• Journal of Gastric Cancer
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• v.22 no.1
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• pp.3-23
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• 2022

Countries differ in their treatment expertise and research results regarding gastric cancer; hence, treatment guidelines are diverse based on evidence and medical situations. A comprehensive and comparative review of each country's guidelines is imperative to understand the similarities and differences among countries. We reviewed and compared five gastric cancer treatment guidelines in terms of endoscopic, surgical, perioperative, and palliative systemic treatment based on evidence levels and recommendation grades, as well as the postoperative follow-up strategies for each guideline. The Korean, Chinese, and European guidelines provided evidence and grading of the recommendations. The United States guidelines suggested categories for evidence and consensus. The Japanese guidelines suggested evidence and recommendations only for systemic treatment. The Korean and Japanese guidelines described endoscopic treatment, surgery, and lymphadenectomy in detail. The Chinese, United States, and European guidelines more intensively considered perioperative chemotherapy. In particular, the indications for chemotherapy and the regimens recommended by each guideline differed slightly. Considering their medical situations, each guideline had some diversity in terms of adopting evidence, which resulted in heterogeneous recommendations. This review will help medical personnel to comprehensively understand the diversity in gastric cancer treatment guidelines for each country in terms of evidence and recommendations.

• Safety and Health at Work
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• v.14 no.2
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• pp.163-173
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• 2023

In many industrial sectors, workers are exposed to manufactured or unintentionally emitted airborne nanoparticles (NPs). To develop prevention and enhance knowledge surrounding exposure, it has become crucial to achieve a consensus on how to assess exposure to airborne NPs by inhalation in the workplace. Here, we review the literature presenting recommendations on assessing occupational exposure to NPs. The 23 distinct strategies retained were analyzed in terms of the following points: target NPs, objectives, steps, "measurement strategy" (instruments, physicochemical analysis, and data processing), "contextual information" presented, and "work activity" analysis. The robustness (consistency of information) and practical aspects (detailed methodology) of each strategy were estimated. The objectives and methodological steps varied, as did the measurement techniques. Strategies were essentially based on NPs measurement, but improvements could be made to better account for "contextual information" and "work activity". Based on this review, recommendations for an operational strategy were formulated, integrating the work activity with the measurement to provide a more complete assessment of situations leading to airborne NP exposure. These recommendations can be used with the objective of producing homogeneous exposure data for epidemiological purposes and to help improve prevention strategies.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.173-187
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• 2023

This study aims to determine whether ESG performance positively affects foreign ownership for listed firms that publish sustainability reports. Furthermore, we test whether the disclosure of environmental information in the sustainability report in accordance with the TCFD recommendations moderates the relationship between ESG performance and foreign ownership. The results of the empirical analysis are as follows. First, there is a positive correlation between ESG performance in a given year and foreign ownership in the following year, i.e., the higher a firm's ESG performance, the higher its foreign ownership. Second, the presence of environmental disclosure in accordance with the TCFD recommendations positively moderates the relationship between ESG performance and foreign ownership, i.e., environmental disclosure in accordance with the TCFD recommendations strengthens the positive relationship between ESG performance and foreign ownership. In conclusion, this study shows that foreign investors invest more in companies with better ESG performance, and the effect is stronger for companies that disclose environmental information in accordance with TCFD recommendations.

• Safety and Health at Work
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• v.15 no.1
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• pp.24-32
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• 2024

Background: Learning from incidents for accident prevention is a two-stage process, involving the investigation of past accidents to identify the causal factors, followed by the identification and implementation of remedial measures to address the identified causal factors. The focus of past research has been on the identification of causal factors, with limited focus on the identification and implementation of remedial measures. This research begins to contribute to this gap. The motivation for the research is twofold. First, previous analyses show the recurring nature of accidents within the Ghanaian mining industry, and the causal factors also remain the same. This raises questions on the nature and effectiveness of remedial measures identified to address the causes of past accidents. Secondly, without identifying and implementing remedial measures, the full benefits of accident investigations will not be achieved. Hence, this study aims to assess the nature of remedial measures proposed to address investigation causal factors. Method: The study adopted SMARTER from business studies with the addition of HMW (H - Hierarchical, M - Mapping, and W - Weighting of causal factors) to analyse the recommendations from 500 individual investigation reports across seven different mines in Ghana. Results: The individual and the work environment (79%) were mostly the focused during the search for causes, with limited focus on organisational factors (21%). Forty eight percentage of the recommendations were administrative, focussing on fixing the problem in the immediate affected area or department of the victim(s). Most recommendations (70.4%) were support activities that only enhance the effectiveness of control but do not prevent/mitigate the failure directly. Across all the mines, there was no focus on evaluating the performance of remedial measures after their implementation. Conclusion: Identifying sharp-end causes leads to proposing weak recommendations which fail to address latent organisational conditions. The study proposed a guide for effective planning and implementation of remedial actions.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.3
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• pp.59-76
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.

• Journal of Korean Clinical Nursing Research
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• v.22 no.3
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• pp.265-275
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• 2016

Purpose: The purpose of this study was to develop an evidence-based guideline for fever management for critically ill adult patients after a brain injury. Methods: Development of the guideline process was done according to the De Novo development Korean Medical Guideline Information Center (KoMGI) and consists of 12 steps. Results: This developed guideline included 3 domains and 19 recommendations. The number of recommendations for each domain was 7 on measuring temperature, 9 on managing fever, and 3 on managing shivering. The level of evidence was as follows: 58% were at level I, and 42% at level II. Of the recommendations, 58% were graded as A, 37% as B, and 5% as C. Conclusion: These findings indicate that this guideline can be used as a guide for nursing in critically ill adult patients with brain injury. This guideline can also contribute to improvements in the quality of nursing care for critically ill adult patients with brain injury.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.75-85
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• 2017

Personalization recommendations have already proven in many areas of the e-commerce industry. For personalization recommendations, additional work such as reclassifying items is generally necessary, which requires personal information. In this study, we propose a recommendation technique that neither exploit personal information nor reclassify items. We focus on music recommendation and performed experiments with actual music listening data. Experimental analysis shows that the proposed method may result in meaningful recommendations albeit it exploits less amount of data. We analyze the appropriate number of items and present future considerations for contextual recommendation.

• Journal of Korean Clinical Nursing Research
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• v.22 no.2
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• pp.238-247
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• 2016

Purpose: This study was done to develop an evidence-based practice guideline for catheter dysfunction in hemodialysis patients. Methods: Development of the guideline process was done according to the De Novo development version 1.0 by NECA which consists of 12 steps. Results: The developed guideline consisted of 5 domains and 14 recommendations. The number of recommendations for each domain were: 3 on catheter dysfunction assessment, 1 on conservative management of catheter dysfunction, 7 on drug management of catheter dysfunction, 1 on catheter function test and 2 on maintenance management. Of the recommendations, 7.15% were marked as A grade, 52.85% of B grade, and 50% of C grade. Conclusion: Findings in this study indicate that this guideline can be added to the evidence-based practice guidelines for fundamentals of practice and that this guideline can be disseminated to nurses nationwide in order to improve the care of hemodialysis patients with catheter dysfunction.