• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.13-24
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• 1985

This study seeks to provide a framework for understanding differential access to medical care. The framework is provided by Anderson Model, a model of health services utilization which suggests a sequence of predisposing, enabling, illness-morbidity characteristics that determine the number of times people will visit a physician. The framework in this study is composed of two models, one is for Adults and the other is for Non-Adults. Models are operationalized using stepwise multiple regression analysis and path analysis. The data come from a national health survey conducted in 1983. The findings of the analysis can be summarized as follows : First, the causal models used in this study are able to explain only a small amount of the variance in medical care utilization(Adjusted $R^2$ is .144 in the Model for Adults and .243 in that for Non-Adults). This finding suggests that we reconsider the utility of such existing model using the predisposing, enabling, and illness-morbidity characteristics in light of their poor correspondence with these data. Second, while small amount of the valiance in medical care utilization is explained, most of the explained variance is due to the illness-morbidity characteristics. The path coefficients of study variables except illness-morbidity variables show these characteristics to be substantially unrelated to medical care utilization, and the indirect effects of the predisposing and edabling characteristics on medical care utilization are also negligible. This casts doubt on the importance of the predisposing and enabling characteristics in explaining medical care utilization. Third, among the predisposing and enabling characteristics, Medical Security variable is the only one having significant direct effect on medical care utilization in both models for Adults and for Non-Adults. Fourth, the amount of the variance explained in the Model for Non-Adults is more than in the Model for Adults. This suggests that medical care utilization of adults is more influenced by behavioral factors than that of children.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.39-54
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• 2024

This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.13-28
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• 2020

Purposes: The purpose of this study is to analyze the institutional and personal factors that affect the medical utilization of patients transferred to tertiary medical institutions. Methodology: We retrospectively analyzed the 2 weeks electronic medical records of 1,556 patients, who were referred to the tertiary hospital, from June 15 to 26, 2015. The patient's personal characteristics, referral hospital, referral path, medical experiences and expenses were analyzed for 6 months after the patient's first visit. Findings: The largest proportion (848; 54.5%) of referrals was referred from primary clinic but the referrals of the same tertiary hospital level were one in seven (228; 14.7%) of the patients. Most patients (1,401; 90%) were referred from the clinics and hospitals directly and only one in ten (155; 10%) of the patients utilized the medical referral center. Patients who had been referred from tertiary care institutions had significantly higher medical costs than those referred to primary care (7,560,000 vs 2,333,000 won). The institutional factors including the numbers of visits to outpatient clinic, previous history of hospitalization and operation, consultation to other medical departments and hospitalization fee significantly influenced on medical utility pattern. Personal factors including patient's medical diagnosis and department of disease have a highly correlation with patient's referrals. Practical implications: The medical utilization of medical expenses and experiences is influenced by institutional and individual factors, and it is important to establish a referral system considering the institutional factors of the type of referral hospital.

• Journal of Preventive Medicine and Public Health
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• v.32 no.3
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• pp.355-360
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• 1999

Objectives: This 3-year longitudinal study was conducted to evaluate the influence of self-rating health perception on health care utilization and all cause-death risk. Methods: The hypothesis was tested using a community-based samples, among which subjects 3,414 were interviewed in 1995, Self-rating health perception was assessed by single-item question. Three components of health care utilization amount(number of visits, number of medications, yearly health care expenses) per year were measured using medical insurance data during 3-year follow-up period among subjects in district health care insurance. There were 123 deaths from all causes among 3,085 subjects interviewed. Results: The results showed that those who had poor health perception revealed more increases in the amount of health care utilization than good health perception group (p<0.05). After adjusting for age and sex, the poor health perception group had higher death risk over 3 years than good health perception group(hazard ratio=1.88). but, after adjusting health care utility, supplementary, was not significant. Conclusion: These results suggest that self-rating health perception was associated with difference in health care utilization and all cause-death risk.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.433-439
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• 2018

The purpose of this study is to analyze outpatients of glaucoma aged 20 or older about their five-year use of ophthalmology and investigate trend of prevalence in glaucoma patients. The Korea Health Panel (KHP) data from 2008 to 2012 were analyzed using frequency and chi-square tests. The outpatients of glaucoma have increased significantly from 0.43% in 2008 to 0.47% in 2009, 0.49% in 2010, 0.61% in 2011, and 0.75% in 2012 (p<0.001). The outpatients of glaucoma are in the 20's to 70's, and higher utility rate is shown in those who are older (p<0.001), and the rate of use tends to increase each year in all the age groups (p<0.001). The medical care utilization attributed to glaucoma in Korea tends to increase lately; therefore, it is a crucial task to realize early detection and management according to the characteristics of different age groups.

• Health Policy and Management
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• v.9 no.2
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• pp.77-94
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• 1999

The purpose of this study is to establish strategy by subdividing consumer market according to the lifestyle which influences the use of medical facilities. The subject of this study were 700 adults who were over 20 years of age and residing in Suwon and its vicinity. To collect data trained staff conducted person-to-person interviews with the assistance of structured questionnaires. The questionnaires cover the areas of life style pattern study. the characteristics of demographic sociology, decision-making process related to the use of medical service. The influencing factors were analyzed and as a result total 18 factors were singled out. Cluster analysis was performed to differentiate similar responses. Each group was named as 'health-unconcern type' 'passive health-concern type' 'regular health-concern type' and 'active health-concern type' according to the characteristics. Each group showed statistically significant difference in the characteristics of demographic sociology. Decision-making process regarding the use of medical service according to lifestyle was analyzed. As a result following items showed significant difference:whether the information was utilized, what was the criteria in selecting medical facilities for serious illness or complicated examination. who was the decision maker in selection medical facilities, and with whom one discussed in selecting medical facilities. The result of this study has its limitation in that it can not be applied directly to market subdivision. However, this will help medical facilities understand customers' lifestyle. which will eventually provide medical facilities with marketing tools in establishing effective PR strategy. In order to apply the lifestyle as a marketing tool of medical facilities, following tasks are to be carried out: the development of the questionnaire which can better analyze consumers' lifestyle related to the use of medical service. the examination of precise characteristics of subdivided market according to lifestyle. and the continuing study on the relationship between lifestyle and the process in selecting medical facilities.

• Journal of Korean Clinical Nursing Research
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• v.19 no.2
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• pp.233-244
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• 2013

Purpose: The purpose of this study was to develop the evaluation indicators of positive nursing organizational culture in a clinical setting. Methods: The evaluation indicators of positive nursing organizational culture were developed from a literature review and a focus group interview. The content validity testing was done using a clinical expert panel. The content utility testing was done using a survey questionnaire. Results: The evaluation indicators of positive nursing organizational culture consists of 88 indicators representing the eight domains with the 24 categories. The average scores in evaluation indicators of positive nursing culture included the importance (3.29 points in average), the potential for further utilization (3.14 points in average) and the current state of extension agency (2.80 points in average). Conclusion: The developed evaluation indicators can be applied to measure the nursing organizational culture, which would be the basic data to manage human resources effectively in a clinical setting.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.3
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• pp.121-133
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• 2023

PURPOSE: Computerization using ICF as a protocol can enhance the assessment, communication, and decision-making of various disciplines and cultures, individual functions, disabilities and health to promote communication and understanding among various professionals, organizations, and countries. The empirical foundation for these propositions was provided by delineating of six distinct computerization components. METHODS: This study analyzed 14 papers that combined the medical field and information technology to activate the ICF through computerization. From each of these papers, distinctive advantages were extracted to propose six computerization elements. The validity of these computerization elements was examined. These papers encompass various computerization elements, among which core elements were identified. In particular, six common core elements were extracted from these papers and assumed to be strategic computerization components for ICF activation. A heuristic methodology was employed to validate these components, representing IT technology maturity using four determining indices, which were then presented graphically for validation attempts. RESULTS: Four quantified indices were defined: reliability, cost-effectiveness, support and updates, and collaboration. Using these indices, this study identified elements that leverage existing IT technologies and require new development. The possibility of increasing utility was identified by applying computerization to ICF. CONCLUSION: This study examined the strategic elements of utilizing ICF by computerizing it using a protocol concept and discussed its potential for utilization. The potential to enhance the value of information in social, physical, and cultural contexts was presented by integrating various domains and data within the ICF framework.

• Journal of Preventive Medicine and Public Health
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• v.25 no.2 s.38
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• pp.115-126
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• 1992

To estimate the cancer mortality rates among Koreans, a mortality survey was carried out in the province of $Ky{\breve{o}}ngsangnam-do$. The study population are the beneficiaries of Korea Medical Insurance Corporation(KMIC), $Ky{\breve{o}}ngsangnam-do$ area, among which the 3,867 deaths occurred from January, 1989 to December, 1990, were reviewed to confirm the cancer deaths. These were based upon the death certificates and medical utilization records before dying which were available through the computerized databases on medical care utility of KMIC. The survey was conducted along three steps. At first, the death certificates were examined, as a second step medical utilization records were reviewed, and finally direct contacts to the family members of the deceased were done. As a result, 990 deaths were found due to cancer. Using them, age and sex specific cancer(all sites and several sites) mortality rates were estimated. Overall cancer mortality rate in the area was estimated 138.7 per 100,000 person-years in males, and 65.7 in females, respectively. And the orders of site-specific cancer mortality rates were the cancers of stomach, liver, lung, esophagus, and cancers of the hematopoietic system among males, In females, followed by gastric cancer, cancers of lung and liver are the 2nd and 3rd in rank, respectively and cancers of breast and uterine cervix are the 4th and the 5th in rank.

• Journal of Korean Academy of Nursing
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• v.38 no.6
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• pp.813-821
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• 2008

Purpose: This study was conducted to develop an instrument measuring awareness of osteoporosis. Methods: The process included construction of a conceptual framework, generation of 86 preliminary items, verification of content validity, selection of secondary items, verification of construct validity and extraction of final items. The 86 items were reviewed for content validity by two groups of experts and were tested to evaluate inter item correlation coefficient by two groups of adult women. From June to August 2007, data were collected from 383 adult women who lived in Seoul and provinces in Korea. Data were analyzed by performing item analysis, Varimax factor analysis and Cronbach's alpha. Results: There were 31 items in the final instrument categorized into 5 factors. The factors were labeled as "preventive behaviors (10 items)", "risk factors (5 items)", "characteristics of osteoporosis (6 items)", "improving bone health (5 items)", and "bone physiology (5 items)". Cumulative percent of variance was 60.92% and eigen values ranged from 1.20 to 12.44. Cronbach's alpha was .948 and ranged from .804 to .917. Conclusion: Validity and reliability of the scale are confirmed in this study showing its utility for measuring awareness of osteoporosis for women. Utilization of the scale will also contribute to designing an appropriate prevention program for osteoporosis.