• Journal of Technologic Dentistry
• /
• v.42 no.2
• /
• pp.187-195
• /
• 2020

Purpose: The purpose of this study is to examine decision factors to start orthodontic treatment with male and female undergraduates having experience in orthodontic treatment at a dental clinic or hospital because of malocclusion. Methods: A survey was carried out to investigate decision factors to begin orthodontic treatment with 330 male and female undergraduates attending universities located in Daegu Metropolitan City or Gyeongsangbuk-do who had experience in orthodontic treatment at a dental clinic or hospital because of malocclusion, and out of 330 questionnaire sheets, total 294 (89.1%) sheets were employed for analysis after excluding ones unreliably or erroneously answered. Results: According to the results of analyzing decision factors for orthodontic treatment, such factors as 'a dentistry-related person's suggestion', 'feeling necessity on one's own' are found to be significantly higher in students majoring in health units than those having non-dental health majors, and students residing in small and medium cities are influenced more significantly by this decision factor, 'an acquaintance's suggestion', than those living in farming and fishing villages or big cities, and students who started orthodontic treatment at elementary school were more significantly influenced by the factor, 'feeling necessity through the public media'. Conclusion: Among the factors influencing their decision on orthodontic treatment, no influence was found in sexual difference, and each of the decision factors influenced them considerably according to the difference of their residence, economic power, majors, or time to start orthodontic treatment.

• Journal of the Korea Computer Industry Society
• /
• v.9 no.1
• /
• pp.1-10
• /
• 2008

This treatise wishes to proposal of most suitable about happened patient's disease when a doctor achieves medical treatment action about patient and decision-making methodology that decide treatment does presentation low class informer. That is, when a doctor treats patient, case that do medical examination and treatment to experience about disease at medical examination and treatment process is general. In case is like this, unexpected treatment side effect can be happened doing not consider patient's special quality or conditions. Use a medical decision-making tool to minimize these problem. Treatise that see therefore investigated validity about if arrange medical decision-making system concept, and analyze several tools(decision-making tools) that help in decision-making, and can help in medical examination and treatment decision-making of most suitable.

• The Journal of Korean Academy of Prosthodontics
• /
• v.46 no.6
• /
• pp.610-619
• /
• 2008

STATEMENT OF PROBLEM: Factors affecting patients' decision-making for dental prosthetic treatment should be examined in terms of understanding improving patients' oral health. PURPOSE: The main purpose of this dissertation was to investigate patients' dental prosthetic treatment and factors affecting patients' decision-making for dental prosthesis treatment in Deagu and Gyungbook areas. MATERIAL AND METHODS: This study was based on the preliminary survey of dental patients conducted from July 1 to August 31 in 2006. A total of 700 questionnaires had been distributed and 640 were collected. 629 questionnaires were used for the statistical analysis. Descriptive and inferential statistics, such as frequencies, cross tabulation analysis, correlation analysis, logistic regression analysis, and multiple regression analysis were introduced. In the multiple regression analysis and logistic regression analysis, twenty-two independent variables were employed to explore the factors which have impacts on decision-making and satisfaction. RESULTS: The results of this dissertation are as follows: Logistic regression analysis turned out that monthly income, age, degree of expectation, marital status, and employer-insured policy of national insurance statistically increased the odds of decision-making of dental prosthesis treatment. But educational attainment decreased the odds ratio of the decision-making of dental prosthesis treatment. However, the rest independent variables do not have statistically significant impacts on the decision-making of dental prosthesis treatment CONCLUSION: Among independent variables, marital status had the most significant influence on the decision making of dental prosthesis treatment. Finally, suggestions for the future study and policy implications to improve satisfaction of the patients' dental prosthetic treatment were discussed.

• Quality Improvement in Health Care
• /
• v.24 no.1
• /
• pp.40-52
• /
• 2018

Purpose: This study aimed to identify the factors influencing on patients' participation in their treatment decision making, and influences of patients' experience on their health status. Methods: Data from the 2015 Korea National Health and Nutrition Examination Survey were used for the analysis. Multivariate logistic regression analysis was conducted to identify the factors influencing on patients' participation in their treatment decision making. The influences of patients' experience on their health status were analyzed using multiple linear regression analysis. Results: Of the 4,497 respondents, 3,698 (82.2%) respondents mostly participated in their treatment decision making. Those who experienced enough visit duration, physicians' explanation easy enough to understand, or more opportunities to ask were more likely to participate in their treatment decision making. After controlling for their sociodemographic factors and health status, those who had better experience during the outpatient visits were more likely to have better self-rated health or quality of life. Conclusion: To improve patients' health outcomes and satisfaction of health care uses, it is necessary to provide better experiences and expand the opportunities for participation in treatment decision making during their hospital visits.

• Journal of Korean Critical Care Nursing
• /
• v.16 no.3
• /
• pp.109-122
• /
• 2023

Purpose : This study aims to explore nursing activities after the decision to discontinue life-sustaining treatment, awareness of a good death, and perception of life-sustaining treatment decisions among nurses in intensive care units (ICUs) at tertiary general hospitals. Methods : Participants were 173 nurses working in two tertiary general hospitals. The data were collected using structured questionnaires and analyzed using an independent t-test, paired t-test, one-way ANOVA, Scheffé's test, and Pearson's correlation coefficient. Results : Participants were 173 nurses working in two tertiary hospitals. The nursing activity increase was the greatest in the spiritual domain, and the physical domain was where the activities decreased the most. There were significant associations between Awareness of good death (Clinical) and Perception of life-sustaining treatment decision(r=.26, p <.001), Awareness of good death (Closure) and Perception of life-sustaining treatment decision(r=.36, p <.001), and Awareness of good death (Personal control) and Perception of life-sustaining treatment decision(r=.49, p <.001). Conclusion : Based on the results, systematic education programs and job training are required to improve the awareness regarding good death and perception of life-sustaining treatment decision for nurses in ICUs where discontinuing life-sustaining treatment decisions are made.

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.12
• /
• pp.7143-7147
• /
• 2013

Background: The survival outcomes for women presenting with early breast cancer are influenced by treatment decisions. In Malaysia, survival outcome is generally poor due to late presentation. Of those who present early, many refuse treatment for complementary therapy. Objective: This study aimed to explore the decision making experiences of women with early breast cancer. Materials and Methods: A qualitative study using individual in-depth interviews was conducted to capture the decision making process of women with early breast cancer in Malaysia. We used purposive sampling to recruit women yet to undergo surgical treatment. A total of eight participants consented and were interviewed using a semi-structured interview guide. These women were recruited from a period of one week after they were informed of their diagnoses. A topic guide, based on the Ottawa decision support framework (ODSF), was used to facilitate the interviews, which were audio recorded, transcribed and analysed using a thematic approach. Results: We identified four phases in the decision-making process of women with early breast cancer: discovery (pre-diagnosis); confirmatory ('receiving bad news'); deliberation; and decision (making a decision). These phases ranged from when women first discovered abnormalities in their breasts to them making final surgical treatment decisions. Information was vital in guiding these women. Support from family members, friends, healthcare professionals as well as survivors also has an influencing role. However, the final say on treatment decision was from themselves. Conclusions: The treatment decision for women with early breast cancer in Malaysia is a result of information they gather on their decision making journey. This journey starts with diagnosis. The women's spouses, friends, family members and healthcare professionals play different roles as information providers and supporters at different stages of treatment decisions. However, the final treatment decision is influenced mainly by women's own experiences, knowledge and understanding.

• Journal of Korean Academy of Nursing
• /
• v.36 no.4
• /
• pp.662-670
• /
• 2006

Purpose. This study was performed to develop and test a decision-tree model of treatment-seeking behaviors about when Korean patients visit a doctor after experiencing stroke symptoms. Methods. The study used methodological triangulation. The model was developed based on qualitative data collected from in-depth interviews with 18 stroke patients. The model was tested using quantitative data collected from interviews and a structured questionnaire involving 150 stroke patients. The predictability of the decision-tree model was quantified as the proportion of participants who followed the pathway predicted by the model. Results. Decision outcomes of the model were categorized into immediate and delayed treatment-seeking behavior. The model was influenced by lowered consciousness, social-group influences, perceived seriousness of symptoms, past history of hypertension or stroke, and barriers to hospital visits. The predictability of the model was found to be 90.7%. Conclusions. The results from this study can help healthcare personnel understand the education needs of stroke patients regarding treatment-seeking behaviors, and hence aid in the development of educational strategies for stroke patients.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.6_2
• /
• pp.1083-1090
• /
• 2022

Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.2
• /
• pp.284-310
• /
• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• The Journal of the Korean dental association
• /
• v.53 no.11
• /
• pp.770-778
• /
• 2015

This article discusses how to conduct treatment planning and decision making in special needs dentistry. Special needs patients often lack cooperative ability during dental treatment and have a deteriorated oral health status. To overcome the limitation in communication with special needs patients and solve their complicated dental problems, dentists need to have extensive preoperative information about the patients and their caregivers. Treatment procedures should be organized in a patient-centered and cost-effective manner. Additionally, clinical outcomes need to be predicted taking into consideration of the patients' condition. The clinical experience of committed dentists is another factor that enhances the benefits of extensive treatment in special needs patients with many limitations. The insightful treatment decision-making of dentists will contribute to improving the oral health of special needs patients despite the various obstacles.