• Journal of Korean Clinical Nursing Research
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• v.21 no.2
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• pp.234-242
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• 2015

Purpose: The purpose of this study was to investigate the levels of knowledge and medication adherence to hormonal therapy (HT) and to identify the factors influencing medication adherence for patients with breast cancer. Methods: Data were collected from 136 patients undergoing adjuvant HT for breast cancer in 3 general hospitals from July 1 to August 14 in 2014 using self-report questionnaires. Data were analyzed using descriptive statistics, independent t-test, ANOVA, $Scheff{\grave{e}}$ test, and multiple regression. Results: The average of knowledge about HT was $5.15{\pm}2.22$ (Max 9), and that of medication adherence was $5.76{\pm}1.65$ (Max 8). Younger age, shorter duration of HT, more active participation in decision making for treatment, positive perception for impacts of HT, and stronger belief in cure were influencing factors on higher adherence level. Age, duration of HT, and perception on the impacts of hormonal therapy, and belief in cure explained 25.2% of the adherence. Conclusion: To improve the treatment adherence to hormonal therapy, patient education and involvement in decision making, and the tailored intervention for the patients with older age, and long treatment period of HT are needed. Additionally, the strategies for diminishing unintentional forgetting is necessary to be developed.

• Women's Health Nursing
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• v.26 no.4
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• pp.285-299
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• 2020

Purpose: This systematic review aims to identify factors associated with risk-reducing salpingo-oophorectomy (RRSO), including the uptake rate and decision timing, among women at high risk for hereditary breast and ovarian cancer (HBOC). Methods: We found 4,935 relevant studies using MEDLINE, Embase, CINAHL, and PsycINFO on July 6, 2020. Two authors screened the articles and extracted data. Twenty-four studies met the inclusion criteria. Quality assessment of articles was conducted using the Risk of Bias for Nonrandomized Studies tool. Results: Five types of factors were identified (demographic factors, clinical factors, family history of cancer, psychological factors, and objective cancer risk). The specific significant factors were older age, having child(ren), being a BRCA1/2 carrier, mastectomy history, perceived risk for ovarian cancer, and perceived advantages of RRSO, whereas objective cancer risk was not significant. The uptake rate of RRSO was 23.4% to 87.2% (mean, 45.2%) among high-risk women for HBOC. The mean time to decide whether to undergo RRSO after BRCA testing was 4 to 34 months. Conclusion: RRSO decisions are affected by demographic, clinical, and psychological factors, rather than objective cancer risk. Nonetheless, women seeking RRSO should be offered information about objective cancer risk. Even though decision-making for RRSO is a complex and multifaceted process, the psychosocial factors that may influence decisions have not been comprehensively examined, including family attitudes toward RRSO, cultural norms, social values, and health care providers' attitudes.

• Journal of Korean Neurosurgical Society
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• v.59 no.4
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• pp.327-333
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• 2016

Adult spinal deformity (ASD) is one of the most challenging spinal disorders associated with broad range of clinical and radiological presentation. Correct selection of fusion levels in surgical planning for the management of adult spinal deformity is a complex task. Several classification systems and algorithms exist to assist surgeons in determining the appropriate levels to be instrumented. In this study, we describe our new simple decision making algorithm and selection of fusion level for ASD surgery in terms of adult idiopathic idiopathic scoliosis vs. degenerative scoliosis.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.478-485
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• 2001

In this study, we have developed a prototype of clinical decision support systems (CDSS) for diagnosing neurogenic bladder and compared its predicted diagnoses with the actual diagnoses using 92 patient\`s Urodynamic study cases. The CDSS was developed using a Visual Basic based on the evidence-based rules extracted from guidelines and other references regarding a diagnosis of neurogenic bladder. To compare with the 92 final diagnoses made by doctors at the Yonsei Rehabilitation Center, we classified all diagnoses into 5 groups. The predictive rates of the CDSS were: 48.0% for areflexic neurogenic bladder; 60.0% for hyperreflexic neurogenic bladder in a spinal shock recovery stage; 72.9% for hyperreflexic neurogenic bladder, and 80.0% for areflexic neurogenic bladder in a spinal shock stage, which was the highest predicted rate. There were only 2 cases for hyperreflexic neurogenic bladder in a well controlled detrusor activity, and its predictive rate was 0%. The study results showed that CDSS for diagnosing neurogenic bladder could provide a helpful advice on decision-making for doctors. The findings also suggest that physicians should be involved in all development stages to ensure that systems are developed in a fashion that maximizes their beneficial effect on patient care, and that systems are acceptable to both professionals and patients. The future studies will concentrate on including more validating the system.

• Korean Journal of Biological Psychiatry
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• v.19 no.4
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• pp.153-158
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• 2012

Understanding of a clinical trial is essential in developing clinical guideline and adopting evidence based practice. In designing and executing clinical trials, following ethical requirements should be considered : social value, scientific validity, fair subject selection, informed consent, favorable risk-benefit ratio, institutional review board, and respect for human subjects. According to the stage of drug development, purpose of trials, accumulated scientific data, clinical trials for drug development are classified as phase 1, 2, 3, and 4. Phases of clinical trials can be overlapped and the judgment of entering into the next phase should be considered highly strategically. In reading, evaluating and interpreting clinical trial reports, various skills and challenges exist. Patient sample composition, trial duration, selection of endpoints, responders and non-responders, placebo effect, patient recruitment, and extrapolation to the real world are the examples of those challenges. Treatment success will come from the well balanced approach of evidence based decision making and consideration of specific single case.

• Journal of Korean Neurosurgical Society
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• v.50 no.2
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• pp.81-88
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• 2011

Objective : The purpose of this study was to analyze the clinical and anatomic features involved in determining treatment modalities for anterior communicating artery (AcoA) aneurysms. Methods : The authors retrospectively evaluated 112 AcoA aneurysms with pretreatment clinical features including age, Hunt and Hess grade, medical or neurological comorbidity, and anatomical features including aneurysm size, neck size, dome-to-neck ratio, vessel incorporation, multiple lobulation, and morphologic scoring system. Post-treatment clinical results were classified according to the Glasgow Outcome Scale, and anatomic results in coiled patients were classified according to the modified Raymond scale. Using multivariate logistic regression, the probabilities for decision making between surgical clipping and coil embolization were calculated. Results : Sixty-seven patients (60%) were treated with surgical clipping and 45 patients (40%) with endovascular coil embolization. The clinical factor significantly associated with treatment decision was age (${\geq}$65 vs. <65 years) and anatomical factors including aneurysm size (small or large vs. medium), dome-to-neck ratio (<2 vs. ${\geq}$2), presence of vessel incorporation, multiple lobulation, and morphologic score (${\geq}$2 vs. <2). In multivariate analysis, older patients (age, 65 years) had significantly higher odds of being treated with coil embolization relative to clipping (adjusted OR=3.78; 95% CI, 1.39-10.3; p=0.0093) and higher morphological score patients (${\geq}$2) had a higher tendency toward surgical clipping than endovascular coil embolization (OR=0.23; 95% CI, 0.16-0.93; p=0.0039). Conclusion : The optimal decision for treating AcoA aneurysms cannot be determined by any single clinical or anatomic characteristics. All clinical and morphological features need to be considered, and a collaborative neurovascular team approach to AcoA aneurysms is essential.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.243-246
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• 2003

Data mining is a process of discovering useful patterns for decision making from an amount of data. It has recently received much attention in a wide range of business and engineering fields Classifying a group into subgroups is one of the most important subjects in data mining Tree-based methods, known as decision trees, provide an efficient way to finding classification models. The primary concern in tree learning is to minimize a node impurity, which is evaluated using a target variable in the data set. However, there are situations where multiple target variables should be taken into account, for example, such as manufacturing process monitoring, marketing science, and clinical and health analysis. The purpose of this article is to present several methods for measuring the node impurity, which are applicable to data sets with multiple target variables. For illustrations, numerical examples are given with discussion.

• Journal of Korean Academy of Nursing
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• v.30 no.3
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• pp.659-669
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• 2000

Many patients of acute myocardial infarction showed delay time before seeking treatment although they needed immediate thrombolytic therapy once they perceived their symptoms. The objectives of this study were to identify the relationship between clinical symptoms and the delay, and to find the time spent before seeking the treatment. This study was a retrospective research. The delay time for the treatment consisted of the length of delay from symptom onset to patients' decision (T1), from patients' decision making to finding transportation (T2), and from taking transportation to the first hospital arrival(T3). The subjects were 89 patients who were admitted in the ICU and Cardiac Ward at Chonnam University Hospital with the first attack of acute myocardial infarction. Center, USA The data was collected for three months from March 1st to May 31st of 1998 through questionnaires and reviewing patients' charts: The chart information was suppled by two nurses working at the ICU and Cardiac Ward. The data was analyzed by using frequency, mean and ANOVA through the SAS program. The results of study summarized as follows: 1. Sixty two patients (69.7%) were male and twenty seven patients (30.3%) were female, the ratio of male to female was 2.3 : 1. 2. In daily life, the 70.8% of the patients felt chest pain and discomfort fatigue in 67.4%, dyspnea in 57.3%, and pain in arm, neck, and jaw in 52.8%. During the attack, 97.8% of the patients felt chest pain and discomfort dyspnea in 82.1%, pain in arm, neck, jaw in 67.4% and perspiration in 51.7%. 3. The length of time a patient spent seeking time for treatment (T1+T2+T3) was 94.6 minutes, in which the time for patients' decision making for treatment (T1) was 70.3 minutes, time for finding transportation (T2) was 8.2 minutes, and time for the transportation of the patient to the first hospital (T3) was 16.1 minutes. Time for patients' decision making to go to a hospital(T1) was 74.2% of the total time sought for treatment. 4. The differences of time sought for treatment between perceptions about the seriousness of the symptoms were significant (F= 6.5, p< .01). The more serious the heart symptoms they felt, the shorter the seeking time for treatment. 5. The differences of the time delay before treatment between the degree of the symptoms were significant (F= 2.9, p< .05). The patients with the typical chest pain and discomfort spent shorter the seeking time for treatment than those with the atypical symptoms of acute myocardial infarction. 6. The differences of transportation time to the first hospital between the types of cars that the patients used, were significant (F= 4.3, p< .01). When the patients used 119 or 129 they spent the least time (5.3 minutes) for transportation, and followed by way of an ambulance (15.6 minutes), private car (20.6 minutes), and taxi (24.8 minutes).

• Knowledge Management Research
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• v.21 no.3
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• pp.105-121
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• 2020

With regard to the development of new drugs, what is most important for a Korean Biotech, where no global sales network has been established, is decision-making related to out-licensing of new drugs. The probability of success for each clinical phase is different, and the licensing amount and its royalty vary depending on which clinical phase the licensing contract is made. Due to the nature of such a licensing contract and Biotech's weak financial status, it is a very important decision-making issue for a Biotech to determine when to license out to a Big Pharma. This study defined a model called 'optimal timing for out-licensing of new drugs' and the results were derived from the decision tree analysis. As a case study, we applied to a Biotech in Korea, which is conducting FDA global clinical trials for a first-in-class new drug. Assuming that the market size and expected market penetration rate of the target disease are known, it has been shown that out-licensing after phase 1 or phase 2 of clinical trials is a best alternative that maximizes Biotech's profits. This study can provide a conceptual framework for the use of management science methodologies in pharmaceutical fields, thus laying the foundation for knowledge and research on out-licensing of new drugs.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6605-6608
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• 2015

Background: Colorectal cancer is a major cause of morbidity and mortality throughout the world. Colorectal cancer screening is an optimal way for reducing of morbidity and mortality and a clinical decision support system (CDSS) plays an important role in predicting success of screening processes. DSS is a computer-based information system that improves the delivery of preventive care services. The aim of this article was to detail engineering of information requirements and work flow design of CDSS for a colorectal cancer screening program. Materials and Methods: In the first stage a screening minimum data set was determined. Developed and developing countries were analyzed for identifying this data set. Then information deficiencies and gaps were determined by check list. The second stage was a qualitative survey with a semi-structured interview as the study tool. A total of 15 users and stakeholders' perspectives about workflow of CDSS were studied. Finally workflow of DSS of control program was designed by standard clinical practice guidelines and perspectives. Results: Screening minimum data set of national colorectal cancer screening program was defined in five sections, including colonoscopy data set, surgery, pathology, genetics and pedigree data set. Deficiencies and information gaps were analyzed. Then we designed a work process standard of screening. Finally workflow of DSS and entry stage were determined. Conclusions: A CDSS facilitates complex decision making for screening and has key roles in designing optimal interactions between colonoscopy, pathology and laboratory departments. Also workflow analysis is useful to identify data reconciliation strategies to address documentation gaps. Following recommendations of CDSS should improve quality of colorectal cancer screening.