• Restorative Dentistry and Endodontics
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• v.7 no.1
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• pp.117-124
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• 1981

In order to observe the frequency of visits and the distribution of endodontically treated patients according to age, sex, diagnosis, type of teeth, the author had surveyed the 17,250 outpatients of the Infirmary of the College Dentistry, Yonsei University from January 1976 to December 1978. 773 cases, 660 patients among 728 endodontically treated patients were studied. The obtained results were as follow; 1. The average frequency of visits were 5.95 in uppers and 5.88 in lowers. 2. The average frequency of visits were 5.79 in males and 6.02 in females. 3. At the age of under 14, the average frequency of visits were 7.42 in uppers and 6.76 in lowers. 4. According to diagnoses, the average frequency of visits in periapical granuloma or cyst were 2.80 in uppers and 3.16 in lowers. 5. The number of endodontically treated teeth had revealed as follow; upper incisors 27.94%, lower molars 25.87%, and upper molars 15.13% 6. The number of endodontically treated teeth by diagnoses were as follow; periapical abscess 45.27%, pulpit is 37.51%, tooth fracture 8.40%. 7. The number of endodontically treated teeth were 51.99% in the age of from 20 to 34.

• Journal of Preventive Medicine and Public Health
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• v.52 no.2
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• pp.82-91
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• 2019

Objectives: Many studies have explored the relationship between short-term weather and its health effects (including pneumonia) based on mortality, although both morbidity and mortality pose a substantial burden. In this study, the authors aimed to describe the influence of meteorological factors on the number of emergency room (ER) visits due to pneumonia in Seoul, Korea. Methods: Daily records of ER visits for pneumonia over a 6-year period (2009-2014) were collected from the National Emergency Department Information System. Corresponding meteorological data were obtained from the National Climate Data Service System. A generalized additive model was used to analyze the effects. The percent change in the relative risk of certain meteorological variables, including pneumonia temperature (defined as the change in average temperature from one day to the next), were estimated for specific age groups. Results: A total of 217 776 ER visits for pneumonia were identified. The additional risk associated with a $1^{\circ}C$ increase in pneumonia temperature above the threshold of $6^{\circ}C$ was 1.89 (95% confidence interval [CI], 1.37 to 2.61). Average temperature and diurnal temperature range, representing within-day temperature variance, showed protective effects of 0.07 (95% CI, 0.92 to 0.93) and 0.04 (95% CI, 0.94 to 0.98), respectively. However, in the elderly (65+ years), the effect of pneumonia temperature was inconclusive, and the directionality of the effects of average temperature and diurnal temperature range differed. Conclusions: The term 'pneumonia temperature' is valid. Pneumonia temperature was associated with an increased risk of ER visits for pneumonia, while warm average temperatures and large diurnal temperature ranges showed protective effects.

• Health Policy and Management
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• v.27 no.4
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• pp.315-323
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• 2017

Background: This study was purposed to analyze the effect of spatial accessibility to the psychiatry department in general hospital on the outpatient visit of mental patients. Methods: Data was provided from the Statistics Korea and Statistical Geographic Information Service, National Health Insurance Service, Health Insurance Review and Assessment Service, and Korea Transport Institute in 2015. The study regions were 103 administrative regions such as Si and Gu. The 103 regions had at least one general hospitals with a psychiatry department. The number of outpatient visit of mental patients in regions was used as the dependent variable. Spatial accessibility to mental general hospital was used as the independent variable. Control variables included such as demographic, economic, and health medical factors. This study used network analysis and multi-variate regression analysis. Network analysis by ArcGIS ver. 10.0 (ESRI, Redlands, CA, USA) was used to evaluate the average travel time and travel distance in Korea. Multi-variate regression analysis was conducted by SAS ver. 9.4 (SAS Institute Inc., Cary, NC, USA). Results: Travel distance and time had significant effects on the number of outpatient visits in mental patients in general hospital. Average travel time and travel distance had negative effects on the number of visits. Variables such as (number of total population, percentage of aged population over 65, and number of mental general hospital) had significant effects on the number of visit in mental patients. Conclusion: Health policy makers will need to consider the spatial accessibility to the mental healthcare organization in conducting regional health planning.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.177-187
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• 2005

The purpose of this study was to 1) identify the current management status of the Visiting Health Care Services (VHCS) and 2) to analyze the workload of the staff in the VHCS located in the Public Health Centers (PHCs) in the urban and rural areas. Method: A descriptive research design and a prospective, time and motion research design were used. A total of 18 PHCs in Gangwon Province participated in this study. A questionnaire and semi-structured observational sheet were utilized. A total of 650 self report records of the work load from the VHCS personnel were collected for a 10 day period at each of the 18 PHCs. A descriptive analysis was then done. Results: The major results were as follows. 1) The VHCS staff (nurses and nurse aids) was being assigned additional work such as maternal health care, chronic disease care, mental health care and health promotion on top of their VHCS duties. 2) The average number of home visits per client during the past year was 5.8. More specifically, the clients in the severe dependent group received an average of 27.1 visits, those clients in the moderate dependent group received 14.0 visits those clients in the slightly dependent group received 5.0 visits and those clients in the self-care group received 1.6 visits. 3) The time required for the work duties of the VHCS staff totaled 488 minutes per day. The percentage of time for home visits was only 17.4%, and this didn't include travel time. Conclusion: The main problems of VHCS were identified as a lack of personnel and a lack of time for the home visits. Strategies that are directed at the construction of a better infrastructure for VHCS are needed.

• The Journal of Korean Physical Therapy
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• v.1 no.1
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• pp.73-82
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• 1989

The purpose of this study was to contribute to the relatively neglected area of out -patient satisfaction with physical therapy service by measuring and determining the factors affecting patient satisfaction in the Andong region. One hundred and forty-five subjects (81 males and 64 females) at 11 facilities with a mean age of 39.2 years (SD=16.2) responded to the satisfaction questionnaire. Each questionnaire contained a set of demographic questions and 19 patient satisfaction items. Cronbach's alpha test of reliability was used as the measure of internal consistency . The satisfaction scale had a good reliability coefficient : Cronbach's alpha=.8688. The average satisfaction score (minimum score=19, maximum score=95) was 75.4 ranging from 38 to 90. Respondent variables including sex, education, marital status, religion, medical security, average monthly income, and number of physical therapy out-patient department treatment visits were analyzed by t-test, ANOVA, and ANCOVA. Satisfaction with the service was largely unrelated to mallets of sex, education, occupation, or other demographic variables. However, marital status, age, average monthly income, and number of treatment visits in the out-patient department were significantly related to patient satisfaction. The analysis presented here could be replicatied with a larger sample in other areas. Other factors such as physical therapist availability, physical therapist competence, accessibility, waiting time, and atmosphere of the treatment area should be considered in further studies.

• Korea Journal of Hospital Management
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• v.4 no.1
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• pp.41-65
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• 1999

This study was attempted to identify the factors affecting profitability of general hospital in Kyung-In Region. Operating profit to gross revenues and net profit to gross revenues were used as a proxy indicator for profitability of hospitals. The unit of analysis was hospital, and the data were collected 5 years data from 20 hospitals. The major findings are as follows; (1) The average operating profit rate was 1.03% and the net profit rate was -5.00% in twenty hospitals in the Kyung-In Region for the last five years. In terms of maximum surplus, the operating profit rate was 14% and net profit rate was 3.40%. In terms of maximum loss revenue, the operating profit rate was -16.56% and the net profit rate was -22.83%. (2) Since the year 1993, which was the starting year of this study, the operating profits and the net profits consistently decreased. (3) Analyzing the difference in profits among various hospital groups, the tertiary hospital group and the 501-1000 beds group exhibited the highest in operating profit rate. Also, among the higher grade number of beds in hospital group, per 100 beds group, the 41-50 beds group exhibited the highest in operating profit rate. There is a statistically significant difference in those groups(p<0.05, p<0.01). (4) In the health care delivery system, the profit gain in the secondary hospital was 51.5% and in the tertiary hospital was 72.4%. Based on the number of beds in each hospital group, the highest profit gain was 75.0% in the over 1001 beds group, and 71.4% in the 501-1000 beds group. Also, among the higher grade number of beds in hospital group, per 100 beds group, the 41-50 beds group exhibited 88.6% surplus. (5) According to the surplus difference based on the analysis of health care utilization, a group with over 31 patients in bed turnover rate, a group with over 96% in bed occupancy rate and group with over 9% in emergency cases to outpatient visits exhibited the highest profit gains. In addition, a group with over 301 patients in daily outpatient visits per 100 beds and group with 11-12 days average length of stay exhibited the highest profit gains. These results are statistically significant(p<0.05, p<0.01). (6) According to a stepwise regression analysis, the variables measuring the bed turnover rate, number of licensed beds, and number of outpatient visits per specialist explain 34.1% of the variation in operating profits. In terms of net profits, the new outpatient visits, the bed turnover rates and the number of general bed variables explain 30.6%. These results are statistically significant(p<0.01).

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.24 no.1
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• pp.5-13
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• 2017

Purpose: This study aimed to identify the workload of home healthcare nurses and their job satisfaction. Methods: The research was conducted on 87 home healthcare nurses in nationwide medical institutions. Results: Number of visits was correlated with direct nursing hours. The monthly average number of visits was 108.84 ; the average number of patients was 45.66; the average daily working hours were $8.95{\pm}0.95$, of which $5.43{\pm}1.06 $ were indirect nursing hours, and $3.57{\pm}1.05$ were direct nursing hours. The average nursing time by severity condition was 22.25 minutes for group 1 patients, 28.04 minutes for group 2, 34.97 minutes for group 3, and 42.88 minutes for group 4. Of possible scores out of 5 for the job satisfaction of home healthcare nurses, their satisfaction was low for their welfare ($2.68{\pm}1.12$), workload ($2.90{\pm}0.88$), and enough time to work ($2.98{\pm}0.90$). Conclusion: The severity of patient's conditions influenced the workload of home healthcare nurses. Although workload did not correlate significantly with job satisfaction, it is necessary to devise a measure for manpower so that home healthcare nurses can secure sufficient nursing hours when they visit clients.

• The Korean Journal of Franchise Management
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• v.7 no.1
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• pp.21-29
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• 2016

Purpose - The primary purpose of this study is to employ effective marketing methods using market segmentation of coffee shops by determining how motivations to visit coffee shops have different impacts on demographic profile of visitors and characteristics of coffee shop visits, so as to draw out a better understanding of customers of coffee market. Research design, data, and methodology - Data were collected using surveys of self-administered questionnaires toward coffee shop users in Daejeon, Korea. A number of samples used in data analysis were 253 excluding unusable responses. The data were analyzed through frequency, reliability, and factor analysis using SPSS 20.0. Factor analysis was conducted through the principal component analysis and varimax rotation method to derive factors of one or more eigen values. In addition, the cluster analysis, multivariate ANOVA, and cross-tab analysis were used for the market segmentation based on the types of motivation for coffee shop visits. The process of the cluster analysis is as follows. Four clusters were derived through hierarchical clustering, and k-means cluster analysis was then carried out using mean value of the four clusters as the initial seed value. Result - The factor analysis delineated four dimensions of motivation to visit coffee shops: ostentation motivation, hedonic motivation, esthetic motivation, utility motivation. The cluster analysis yielded four clusters: utility and esthetic seekers, hedonic seekers, utility seekers, ostentation seekers. In order to further specify the profile of four clusters, each cluster was cross tabulated with socio-demographics and characteristics of coffee shop visits. Four clusters are significantly different from each other by four types of motivations for coffee shop visits. Conclusions - This study has empirically examined the difference in demographic profile of visitors and characteristics of coffee shop visits by motivation to visit coffee shops. There are significant differences according to age, education background, marital status, occupation and monthly income. In addition, coffee shops use pattern characterization in frequency of visits to coffee shops, relationships with companion, purpose of visit, information sources, brand type, average expense per visit, important elements of selection attribute were significantly different depending on motivations for coffee shop visits.

• Journal of Family Resource Management and Policy Review
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• v.7 no.1
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• pp.103-118
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• 2003

This study is aimed to investigate Internet Addiction among youths who are main users of computers and internet and related variables. The survey was conducted to 520 students from middle and high schools on Jeju and analyzed catmod Regression. model was used to analyse the efficients of the independent variables on the three groups according to Internet addiction level. The major results of this study are as follows; First, By the viewpoint of Young's criteria, it revealed that most young people(68.5 ％) use the internet at the level of occasional problem-solution users. The percentage two groups of average on-line users and internet addicts were 27.3% and 4.2%, respectively. Second, the variables having significant effects on the of internet addiction group are gender, the number of brothers, adaptation to school life, mother's age, and family control of internet use. Third, the variables which have a significant effect on the of average internet users group referred to internet addicts group are gender, adaptation to school life, satisfaction with family life, average monthly household income, and the number of visits to private computer establishments.

• Journal of Global Scholars of Marketing Science
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• v.11
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• pp.129-146
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• 2003

This study explores whether a NBD type of model can be applied to characterize the underlying frequency distribution of online consumer's visit behavior. In this study, the following two research questions are addressed: (1) How can we characterize the underlying distribution pattern(s) of the number of repeat i i visits to a site? (2) How can consumer's Internet usages and his/her demographics affect the average number of visits to the site? Through the empirical investigation, this study found that NBD models are directly applicable to characterize the underlying distribution of visit frequency on the Internet. Furthermore, this study addresses some managerial implications for understanding how site visits are determined. Especially this study highlights the relationship between repeated visits and the visitors' Internet Usages and demographics. The proposed models are estimated and validated by online panel data that covers more than 1000 different sites and has 800,000 observations.