The objective of this study was to examine the association between personal, housing, program, and service characteristics and quality of life among persons with severe mental illness living in supported housing. A cross sectional survey of a random sample of 237 clients residing in supported housing in Philadelphia was used to assess the association between personal and environmental characteristics, and quality of life. Data were collected from structured interviews, administrative data, the 2000 U.S. Census data file and the Philadelphia police crime database. Multiple regression analyses were used to identify personal and environment characteristics that are associated with quality of life. Clients with diagnoses of schizophrenia, those with lower levels of psychiatric symptoms, those with higher levels of physical health status, and those with higher levels of perceived supportiveness with staff had higher levels of quality of life. Findings of this study suggested that clients' clinical characteristics and consumer staff relationships can be important variables for understanding quality of life among supported housing residents. Factors associated with quality of life identified in this study may help service providers design and plan services to promote quality of life and stable independent living in the community of supported housing residents.
Kim, Hyung Jin;Jung, Jae Hoon;Lee, Jung Bin;Kim, Sang Min;Heo, Joon
Journal of Korean Society for Geospatial Information Science
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v.22
no.4
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pp.175-181
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2014
Korean government proposed a new initiative 'government 3.0' with which the administration will open its dataset to the public before requests. City of Seoul is the front runner in disclosure of government data. If we know what kind of attributes are governing factors for any given segmentation, these outcomes can be applied to real world problems of marketing and business strategy, and administrative decision makings. However, with respect to city of Seoul, selection of optimal variables from the open dataset up to several thousands of attributes would require a humongous amount of computation time because it might require a combinatorial optimization while maximizing dissimilarity measures between clusters. In this study, we acquired 718 attribute dataset from Statistics Korea and conducted an analysis to select the most suitable variables, which differentiate Gangnam from other districts, using the Genetic algorithm and Dunn's index. Also, we utilized the Microsoft Azure cloud computing system to speed up the process time. As the result, the optimal 28 variables were finally selected, and the validation result showed that those 28 variables effectively group the Gangnam from other districts using the Ward's minimum variance and K-means algorithm.
This study is to examine the job satisfaction of the social workers who manage the elderly care service in country, in order to find political alternatives and practical strategies for improving job satisfaction. The Factors to effect on job satisfaction are categorized as three groups ; personal factors, working environment factors and service related factors. The survey was conducted by 231 social workers who participated in a national seminar among 244 elderly care facilities in country, and 220 effective data were collected. Which factors effected on the job satisfaction of social workers and how much effected on it by them were mainly analyzed. The mean of job satisfaction status was 3.01, which was slightly higher than average(2.5). Men had higher job satisfaction than women. The unmarried than the married, permanent workers than contract workers, and workers who didn't execute other jobs had higher job satisfaction also. And The main factors which effected on job satisfaction were sex among personal factors, the manager willingness and not executing other jobs among working environment factors, and service attitude among service related factors. Particularly, the manager willingness was shown to effect on job satisfaction the most, and then service attitude, not executing other jobs and sex effected on it in order. The result showed that the elderly care facilities which had stronger manager willingness and better service attitude provided higher job satisfaction, and men who didn't execute other jobs than women had higher job satisfaction. The job satisfactions of payment and benefits, employment stability, appropriateness of working amount and working time, working environment and welfare conditions were lower than average. Therefore, the strategies to improve the lower job conditions are promptly required. Above all, the low payment strategy that has not been increased at all for 3 years has to be changed. In addition, it is important for the social workers not to execute other jobs as much as possible in order to reduce working amount and working time appropriately. In conclusion, it is required to try to improve the job satisfaction of the social workers who are the core of human service continually, which will make the elderly care service successful and effectiveness improved.
This study aims to identify the priority for the Gwangyang and Qingdao hinterlands which are in the same category of benchmarking crowed paths. This study has been mainly done with comparison. There is certain limitation to use competitive factors of existing research so, this study has had proper competitive factors deriving from factors analysis and studied hinterland priority of competing factors by AHP. Major results are as follows. First, the factor analysis resulted in 20 factor that were 0.6 or higher loading level of commonality and then these 20 factors were divided into groups: operating factors, service factors, cost factors, port infrastructure factors, and hinterland conditions factors with the rotated component matrix analysis. Second, according to the result of top competitive factors, the best factor was the hinterland condition(0.256). The other factors such as infrastructure, economy, accessibility, incentive, and port traffic in hinterland were highly ranked in terms of general importance using multiple weights. Third, the result of detailed properties importance about the final alternative, Gwangyang hinterland was considered more highly than Qingdao hinterland in the port information system, the support a variety of administrative services, the efficiency of the customs, and the tax benefits.
Jung Hoon Kim;Heenyun Kim;Yongseok Choi;Hyoung Sun Jeong
Health Policy and Management
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v.33
no.1
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pp.40-54
/
2023
Background: Based on the increase in the needs for convalescent rehabilitation medical services in Korea, this study aims to calculate the needs for rehabilitation services and examine its determinants for 229 regions. Methods: Claim data from the Health Insurance Review and Assessment Service were used to estimate patients who need to receive rehabilitation services, and data from various sources were also used for analysis. The number of cases and incidence rates of hospitalization related to convalescent rehabilitation were calculated to estimate the needs for services by region, and the results were visualized via a map. Multivariate regression and fixed effects regression using panel data were performed to identify the determinants of regional variation of the incidence rate. Results: First, the incidence rate of rural areas such as Jeolla-do, Gyeongsang-do, and Chungcheong-do was higher than urban areas (metropolitan cities). Second, the population, proportion of the elder, medical aid recipients, financial independence, traffic deaths, smoking, diabetes rate, and medical infrastructure correlated significantly with the incidence rate. Third, 'rho' values which mean the fraction of variance due to individual terms in panel data regression models were 0.965 and 0.976, respectively. Conclusion: The incidence rate of hospitalizations was correlated with most independent variables in this study and there is a gap between urban and rural areas. These regional disparities are fixed in our society. An improved regional convalescent rehabilitation system is suggested to cover the entire area including rural areas with a high rate of aging.
According to increasing smartphone users, Public mobile services is expanding across all areas, including education. We have to prepare NEIS(National Education Information System) student and parent service based on smartphone that provide information about student's school life for the smartphone users. Therefore, in this paper, we conducted an online questionnaire survey for student and parent. User's perception for existing services were analyzed by factors of content availability, service utilization, and user affinity. Reliability analysis of the collected data, the results of correlation analysis, and multiple regression analysis were found reliable. The user affinity factor have the most significant impact on user satisfaction and intention to user smartphone service. Consequently, the study stresses a measure of NEIS student and parent service based on smartphone and public education information service through the perception analysis of these.
Journal of Korean Academy of Nursing Administration
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v.16
no.2
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pp.162-171
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2010
Purpose: Nursing home quality indicators have been focused widely on result outcomes, not for the environment in that quality of service are delivered, This study aimed to examine structural factors influencing quality management activities in nursing homes. Method: Sample was 170 nursing homes responded to the survey questionnaire which was distributed to the 543 nursing homes nation-wide, Data were collected on structural characteristics, types of services, and quality management activities, Data were analyzed with the descriptive statistics, Pearson correlations, and multiple regression. Result: Most of the nursing homes were operated as free of charge by the social welfare ownership. Average number of residents was 52.1 with severe and mild dementia and bedridden status, In terms of quality management activities, 34% of the sample had CQI committee that focused their activities on services delivery process, performance appraisal, record keeping regularly. 30.6% of quality management activities were accounted for by the number of residents with dementia, the ratio of RN to residents, rehabilitation services, and social wefare services in nursing homes. Conclusion: We recommend that more comprehensive quality management activities should be developed as process quality indicators in conjunction with the outcome indicators.
Background: This study aimed to analyze effects of postpartum care services to women after birth, identify the factors affecting their use, and examine the extent of income-related inequality in the postpartum care services utilization and expenditures using Korean Health Panel data between 2010 and 2013. Methods: The panel data of the year 2010-2013 of the 247 women after birth were used. First, EuroQoL-5D was used to evaluate the effects of postpartum care service to women's quality of life. Second, multinominal logistic regression analysis was used to identify determinants of the use of the postpartum care services. Finally, concentration index and HIwv (horizontal equity) index were used to find that the concentration index for the inequality in the use of postpartum care services showed negative sign, which implied pro-rich. Results: The estimation results showed that utilization of the postpartum services has a positive effect on women after birth. Also age, area of residence, and number of household members turn out to be the factors of using postpartum services. And there are inequality in the use of postpartum care services whose HIwv index showed positive sign, which implied pro-rich. Conclusion: Therefore, the government's policy of the postpartum care service is necessary to be expanded and diversified considering the personal characteristics and equity of the women after birth.
This study focuses on the determinants of the community health service utilization. Theories suggest seven models for community health service utilization, which are divided largely into two groups such as Health Service Supply Model and Health Service Demand Model: Supply Model includes Medical Implements Model, Personnel and Budget Model, Management System Model, Staffs' Behavior Model, Service Quality Model; Demand Model includes Area Model and Clients' Characteristics Model. This paper tests how the above models influence on the community health service utilization. After interviewing some administrative staffs of the Community Health Service Center at Pusan, questionnaires were made and mailed to the staffs of 198 Korean Community Health Service Center as a universe, among which from 98 centers we got response. Analyzing the data from the questionnaires, we found "the number of personnels in the health service center" and "demands for medical service" as important variables to affect the utilization of the community health service center. These two variables are typical factors representing Supply Model and Demand Model each. However, the variables selected from Management System Model, Administrative Behavior Model, Service Quality Model and Area model are not significant in a statistical sense. The paper suggests that to recruit the personnels, especially nurses, and to make out the demands of the clients for health service be the precedent conditions to increase the utilization of the Community Health Service Centers in Korea.ce Centers in Korea.
This study was performed to explore multidimensional customer royalties and relating factors. 900 households, $1\%$ sample were randomly selected from K city located in Kangwon province. Interview survey was performed with structured Questionnaire for the entire people, 923 persons who experienced medical service utilization during one year before survey on time, september, 2004. In comparison of customer royalties by sociodemographic characteristics, the older group showed the higher level of cognitive and attitudinal royalties significantly. Education and income level also, showed negative relationship with cognitive, attitudinal and behavioral loyalties significantly. The more being a female and a visitor at oriental medicine clinic, the higher level of attitudinal loyalties. Customer satisfaction was a critical explaining variable for cognitive, attitudinal and behavioral loyalties. In multiple regression analysis, some sociodemographic characteristics showed significant relation with customer loyalties and customer satisfaction was the strongest relating variable to customer loyalties. In conclusion, multidimensional approach for customer loyalty is useful for understanding customer behaviors comprehensively. Future studies should focus on developing the more specific and valid measurement tools for customer loyalty in medical service.
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