• Archives of Plastic Surgery
• /
• v.49 no.4
• /
• pp.488-493
• /
• 2022

Background Currently, the BREAST-Q can effectively measure patient's satisfaction on the quality of life from the patient's perspective in relation to different type of breast reconstruction. However, evaluation of patient satisfaction and cosmetic outcomes in breast reconstruction may have potential to led bias. Methods To maximize the benefits of using BREAST-Q to evaluate clinical outcome, we performed comparative study focused on the correlation between postoperative BREAST-Q and cosmetic outcomes assessed by medical professionals. For the current analysis, we used three postoperative BREAST-Q scales (satisfaction with breast, psychosocial well-being, and sexual well-being). The Ten-Point Scale by Visser et al was applied to provide reproducible grading of the postoperative cosmetic outcomes of the breast. The system includes six subscales that measured overall aesthetic outcome, volume, shape, symmetry, scarring, and nipple-areolar complex. The photographic assessments were made by five medical professionals who were shown photographs on a computer screen in a random order. Obtained data were stored in Excel and evaluated by Spearman's correlations using SPSS Statistics. Results We enrolled 92 women in this study, 10 did not respond to all scales of postoperative BREAST-Q, the remaining 82 women had undergone breast reconstruction. The correlation between BREAST-Q score and aesthetic score measured by Ten-Point Scale for the three BREAST-Q scales all show positive values in Spearman's correlation coefficient. Conclusion A significant correlation without any bias observed was found between the patient's satisfaction measured by BREAST-Q after breast reconstruction and the medical expert's aesthetic evaluation.

• Journal of Korean Public Health Nursing
• /
• v.14 no.2
• /
• pp.293-303
• /
• 2000

This study was designed to acknowledge the satisfaction levels of patients who have been treated in the emergency center. Specifically, to acknowledge the factors influencing patient's satisfaction levels related in the usage of emergency centers. Data was collected through patients who have used anyone of four emergency centers of university hospitals holding over 550 hospital beds, and located in Seoul. Questionnaires consisted of 31 questions. Cronbach's alpha was 0.94. Data analysis was executed with the SAS program by t-test, ANOVA and stepwise multiple regression. The results were summarized as follows. (1) The total average score for the level of satisfaction was 3.3. Regarding the service of doctors and nurses, the score was high. While the score regarding reception process, payment and second hand environment were relatively low. (2) There was a differentiation in the level of satisfaction according to the type of injured. Patents of industrial calamities had the highest level of satisfaction while patient injured by traffic accidents had the lowest level of satisfaction. (3) The factors that affect the level of satisfaction were presence of medical insurance, lapse time until treatment and the education level of the patient. Based on this, we will provide the basic data of satisfaction levels according to the characteristics of patients and the types of injuries for improvement of emergency treatment centers.

• Journal of Korean Neurosurgical Society
• /
• v.66 no.2
• /
• pp.113-120
• /
• 2023

Artificial intelligence (AI) is a field of computer science that equips machines with human-like intelligence and enables them to learn, reason, and solve problems when presented with data in various formats. Neurosurgery is often at the forefront of innovative and disruptive technologies, which have similarly altered the course of acute and chronic diseases. In diagnostic imaging, such as X-rays, computed tomography, and magnetic resonance imaging, AI is used to analyze images. The use of robots in the field of neurosurgery is also increasing. In neurointensive care units, AI is used to analyze data and provide care to critically ill patients. Moreover, AI can be used to predict a patient's prognosis. Several AI applications have already been introduced in the field of neurosurgery, and many more are expected in the near future. Ultimately, it is our responsibility to keep pace with this evolution to provide meaningful outcomes and personalize each patient's care. Rather than blindly relying on AI in the future, neurosurgeons should gain a thorough understanding of it and use it to enhance their patient care.

• Journal of Home Health Care Nursing
• /
• v.2
• /
• pp.60-76
• /
• 1995

The purpose of this study was to analysis level on family caregiver's burden for the elderly with senile dementia in a rural area and to choose priority care group, thereby facilitating the development of interventions to reduce the caregiver's burden. For this purpose, data were collected by questionaire from June 10 to October 8, 1994. The instruments for data collection were Caregiver Burden Inventory by Novak(1989) and Zarit et al(1982), severity of dementia by Hughes Scales (1982), ADL by Lawton (1971), patients' family caregiving activity by pre-survey and reference review(Lee, 1993 ; Jang, 1990 ; Yoo, 1982). The subjects were 60 family caregiver of senile dementia in a rural area. The data was analysed by the use of t-test, ANOVA, correlation and multiple regression. The results were as follows : 1. Total burden was evaluated over average, the mean of family burden was 61.24. 2. Significant variables which were correlated to the family caregiver's burden were the severity of dementia(F=30.52, p<0.001), ADL(F=5.43, p<0.01), PADL(F=6.14, p<0.01), caregiver's health status(F=6.05, p<0.01), a view of patient's prognosis(F=4.08, p<0.05), the number of hours per day spent on caregiving(F=19.64, p<0.001), level of intimacy of caregiver and patients(F=7.16, p<0.001), the frequency of caregiving activity(F=5.31, p<0.01). 3. ADL was the most important predictor to family caregiver burden(R2=0.6611). In addition to this, the severity of dementia, level of intimacy of caregiver and patient, relationship with the patient accounted for 79% of family caregiver burden. 4. The criteria of priority care group were as follows ; the mean of family caregiver burden was above 58, above of moderate ADL, the number of hours per day spent on caregiving above of 8 hours, above of moderate dementia. By the the severity of dementia, number of priority care group, mild dementia was 10(43.4%), moderate dementia 23 (92.0%), sever dementia 12(100.0%).

• Journal of Korean Academy of Nursing Administration
• /
• v.14 no.2
• /
• pp.176-181
• /
• 2008

Purpose: This study was performed to identify the relationship between patient's perceived quality of healthcare services and intention to re-visit. Method: The study subjects were 242 patients from three local clinics. The data were analyzed using SPSS PC+ 12.0 program for descriptive, Pearson's correlation coefficient, and multiple regression analysis. Result: Patients' perceived quality of healthcare services was measured 5.73$\pm$0.71 using the 7-point scale. The patients' perceived quality was moderately correlated with patient satisfaction (r=0.647, p<0.001) and intention to re-visit (r=0.604, p<0.001). Also, patient satisfaction was highly correlated with intention to re-visit (r=0.788, p<0.001). 3) the reliability factor of patients' perceived quality of healthcare services and patient satisfaction were found significant predictors of intention to re-visit. Conclusion: In conclusion, service quality evaluated by patients influenced on their intention of re-visit and especially, reliability was the most significantly influential variable.

• The Journal of Korean Physical Therapy
• /
• v.9 no.1
• /
• pp.37-50
• /
• 1997

Low back Pain(LBP) is a common problem, and the resulting disability frequently contains nonorganic, psycho-logical and social elements that are difficult for the physical therapists to manage. The physical therapist-patient relationship is the most important factors in the management of low back pain as chronic disease. The purpose of this study was to evaluate and to identify factors that had influenced low, back pain patients satisfaction with physical therapist The subjects of this study were 223 out-patients(116 males and 107 females) who had been visited to physical therapy room of medical institutions in Seoul and Uijgngbu city. They were examined by the questionaire of Dimatteo and Hays which was amended to serve the purpose of this study by author. The collected data was analyzed by ANOVA according to the purpose of this study. There was no difference with statistic value in LBP patient's satisfaction according to occupation, sex, schooling, religion, marital status, medical security, duration of disease, the tine required, recurrence, but was a difference according to age, income, period of treatment, cost, diagnosis, waiting time, the number of physical therpy's sort, sex ane age of physical therapists (p<.05). LBP patients was satisfied with physical therapist's communicative behavior, but was dissatisfied with physical therapist's competence.

• Health Policy and Management
• /
• v.9 no.4
• /
• pp.1-14
• /
• 1999

The purpose of this study was to estimate the magnitude of patient's actual cost-sharing for hospital services in the National Health Insurance which has been estimated with only a few hospitals or limited number of patients. Also we aimed at analysis of factors influencing the magnitude. Sources of analyzed data were two databases. 1997 medical benefits record of the National Federation of Medical Insurance and 1997 Statistics for Hospital Management from the Korea Institute of Health Services Management(KIHM). We merged two databases and related records for 224 hospitals. based on the identification details of each hospital. The average percent of patients' cost-sharing was 51.7% of total hospital revenues from the insurance. with 40.3% of revenue in inpatient and 67.4% in outpatient. respectively. The contributing hospital factors to the magnitude of cost-sharing were size of hospitals. teaching status. location. number of employed physicians. etc. Larger and university hospital. urban location. and with more physicians were positively correlated with higher level of cost-sharing. Additionally, the higher the expenses of inpatient's treatment was, the higher the size of patient's cost-sharing was. These findings suggest that present level of patients' cost-sharing is quitely high and it is urgent to reduce the patient's cost-sharing to the reasonable level. It would be necessary to extend the coverage of insurance benefits and to develop policies focusing on larger hospitals and inpatient services.

• Science of Emotion and Sensibility
• /
• v.10 no.2
• /
• pp.147-154
• /
• 2007

Electrocardiogram(ECG) being the recording of the heart's electrical activity provides valuable clinical information about heart's status. Many researches have been pursued for heart disease diagnosis using ECG so far. However, electrocardio-graph uses foreign diagnosis algorithm in the con due to inaccuracy of domestic diagnosis results for a heart disease. This paper proposes ST-segment extraction technique diagnosing heart disease parameter from raw ECG data. As the ST-segment is used for prediction of Coronary Artery Disease, we can predict heart disease using classification approach in data mining technique. We can also predict patient's clinical characterization from patient clinical data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1998.06a
• /
• pp.264-267
• /
• 1998

We are dealing with the preliminary diagnosis from the information of headache interview chart. We quantify the qualitative information based on the interview chart by dual scaling. Prototype of fuzzy diagnostic sets and the neural linear regression methods are established with these quantified data, These new methods can be used to classify new patient's tone of diseases with certain degrees of belief and its concerned symptoms. We call these procedures as neural Fuzzy Differential Diagnosis of Headache (NFDDH-1). Also we investigate three measures to medical diagnosis, where relations between symptoms and diseases are described by intutionistic fuzzy set (IFS) data. Two measures are described by nin-max and max-min IFS operators, respectively. Another measure is the similarity degree, i.e., IFS distance between patient's symptoms and prototypes of diseases. We consider some reasonable criteria for three measures in order to determine the label of headache, We will establish hree measures in NFDDH-2 and combine two packages as NFDDH

• The KIPS Transactions:PartC
• /
• v.10C no.3
• /
• pp.281-286
• /
• 2003

Nowadays, a patient's private medical data which is exposed to the outside world has a severe effect on not only the patient's private life but also his/her social activities and environment. So, it is important to securely protect the patient's private medical data from the illegal manipulation. This paper studies the method to store the electronic prescription information in an IC card. For that, an access control for users, such as a doctor, a nurse, a medical institute member, a pharmacy, a pharmacist, or a patient, is proposed to access the data stored in an IC card. The certificate is issued using the Crypto API of a certificate management model supported by Windows 2000. The public/private key is created by the Cryptographic Service Provider program, and the electronic prescription is signed using the digital signature. The proposed system, therefore, can improve the quality of medical services by securing the safety and integrity of the electronic prescription, stored in an IC card.