The aim of this study was to explore the effects of a computerized review program which was introduced in August 1, 2003, using claims data for acute respiratory infection related diseases. National Health Insurance (NHI) claims data on respiratory infection related diseases before and after the introduction, with six month intervals respectively, were used for the analysis. Clinic was the unit of observation, and clinics with only one physician whose specialty was internal medicine, pediatrics, otorhinolaryngology and family medicine and clinics with a general practitioner were selected. The final sample had 7,637 clinics in total. Indices used to measure practice pattern was prescription rates of antibiotics, prescription rates of injection drug per visit, treatment costs per claim, and total costs per claim. Changes in the number of claims for major disease categories and upcoding index for disease categories were used to measure claiming behavior. Data were analysed using descriptive analysis, t-test for indices changes before and after the introduction, analysis of variance (ANOVA) for practice pattern change for major disease categories, and multiple regression analysis to identify whether new system influenced on provider' practice patterns or not. Prescription of antibiotics, prescription rates of injection drug, treatment costs per claim, and total costs per claim decreased significantly. Results from multiple regression analysis showed that a computerized review system had effects on all the indices measuring behavior. Introduction of the new system had the spillover effects on the provider's behavior in the related disease categories in addition to the effects in the target diseases, but the magnitude of the effects were bigger among the target diseases. Rates of claims for computerized review over total claims for respiratory diseases significantly decreased after the introduction of a computerized review system and rates of claims for non target diseases increased, which was also statistically significant. Distribution of the number of claims by disease categories after the introduction of a computerized review system changed so as to increase the costs per claims. Analysis of upcoding index showed index for 'other acute lower respiratory infection (J20-22)', which was included in the review target, decreased and 'otitis media (H65, H66)', which was not included in the review target, increase. Factors affecting provider's practice patterns should be taken into consideration when policies on claims review method and behavior changes. It is critical to include strategies to decrease the variations among providers.
To obtain basic data for efficient health plan, we investigated the condition of farmers' health, living behavior, working environment, and cumulative fatigue symptoms by crops (greenhouse melon, rice and red pepper, stock farming, pear, grapes, dropwort, sweet potato, potato, radish. cabbage). The results are as follows; (1) The condition of farmers health : Among them, cabbage cultivators were in bad health concerning cardiovascular system, musculo-skeletal system, and skin condition. (2) Living behavior : $\circled1$ Radish cultivators were in best of their physical condition. $\circled2$ Rice and red pepper cultivators were taking a regular recess as compared with dropwort cultivators. $\circled3$ On concerning bathe, sleeping, and clothes, stock farmers were in relatively bad condition. (3) Working environment : cabbage, greenhouse melon, and dropwort cultivators had relatively Poor working environment. (4) Cumulative fatigue symptoms : $\circled1$ Dropwort cultivators were in the worst of their condition concerning loss of their energy, physical condition. decline of will to labor, sense of unease, and low spirits. $\circled2$ On concerning general fatigue, dropwort, sweet potato, and cabbage cultivator were in bad condition.
Objectives : This study was to investigate the level of health risk behavior, athletes stress, quality of life(WHOQOL-BREF) and oral health related quality of life(OHIP-14) and the clinical factors influencing quality of life in athletes Methods : Data were obtained from a cross-sectional survey of 202 university athletes. Data was obtained by means of questionnaire from October 11 to October 15, 2010. Health risk behaviors(Q-F index and smoking), athletes stress, WHOQOL-BREF and OHIP-14 were measured. The data was analysed with t-test, one-way ANOVA, Pearson correlation coefficient and multiple regression using the SPSS program. Results : The prevalence of alcohol drinking, smoking were 84.2% and 37.9%, respectively. Alcohol drinking and cigarette consumption were not related to quality of life though there were the negative correlation between athletes stress and quality of life. Powerful predictors of quality of life were athletes stress, OHIP-14 and perceived health for athletes. Conclusions : Based on the findings, quality of life has a significantly impact on athletes stress, OHIP-14 and perceived health. These results suggest that the implementation of health promotion program should be considered which was decreased athletes stress and was increased level of oral health and perceived health in athletes.
Objectives: The aim of this study was to examine the relationship between periodontitis, obesity, and health behavior according to sex and age in Korean adults. Methods: Data on 11,032 adults aged 19-79 years were obtained from the 7th Korea National Health and Nutrition Examination Survey (KNHNES). We used multivariate logistic regression analysis to test for associations. Results: The final model that was adjusted for demographic characteristics and health status, showed a higher risk of periodontitis with increasing body mass index (BMI), smoking, failure to use oral care products, and no dental check up. In the sub-group analysis, only smoking was significant in the 19 to 39-year-old age groups. In the 40 to 64-year-old age group, a BMI of 30 or higher, and smoking, use of oral care products, and dental check-up were significantly associated with periodontitis. In the female group, BMI, smoking, use of oral care products, and dental check-up were significantly related to periodontitis. However, in males, only smoking was significant. Conclusions: Obesity management can be helpful for periodontal health as periodontitis prevalence in adults increased as BMI increased. For periodontal health, an oral health program should include smoking cessation and the use of oral care products and dental check up as part of obesity management.
Purpose: To investigate the dental health status of kindergarten children according to their oral health behavior. Method: The subjects were 172 kindergarten children aged 5. A structured questionnaire was used for dental health behavior and oral health status were examined by dentist and bacteria in salivary. Result: 1. Mean score of oral health behavior of children was 4.69 points (SD1.65) with the highest score being 13. No significant differences were observed according to sex, except using tooth paste. A total 71.5% of subjects brushed their tooth twice a day, 9.9% of them once a day, 18.6% of them three times a day, 19.2% of children brushed their teeth after breakfast and lunch, 89.5% of then after dinner, 5.8% of them before going to bed, 18.6% of children brushed correctly, 79.7% of them used tooth paste with fluorine, 3.5% of them regularly examined oral cavity, 84.4% of them took cariogenic food without any restrain, 67.1% of them were observed with oral cavity by their mother. 2. Streptococcus mutans and lactobacilli in the saliva was $3.66({\times}106CFU/m{\ell})\;and\;1.05({\times}103CFU/m{\ell})$, respectively. No significant differences were observed according to sex, while lactobacilli were significantly lower in those children who had regular dental examinations. 3. The index of plaque was 1.56 and the boys were significantly higher than the girls. The mean dft was 4.99. No significant differences were observed according to sex, while the children whose oral cavity was observed regular were significantly lower than those who were not observed. Conclusion: As a whole the practice of oral health behavior of the kindergarten children was poor, and regular dental examinations and oral cavity observations affect their dental health status. These results suggest that intensive dental health education was needed not only for the pre-school children but also their parents and teachers.
Health promoting behaviors of an individual are affected by various variables. Recently, there has been a growing concern over important health problems of the middle aged women. Physiological changes in the middle aged women and their responsibility for family care can result in physical and psychological burden experienced by middle aged women. This study was designed to test Pender's model and thus purpose a model that explains health promoting behaviors among middle-aged women in Korea. The hypothetical model was developed based on the Pender's health promoting model and the findings from past studies on women's health. Data were collected by self-reported questionnaires from 863 women living in Seoul, between 20th, April and 15th, July 1995. Data were analyzed using descriptive statistics and correlation analysis. The Linear Structural Relationship(LISREL) modeling process was used to find the best fit model which assumes causal relationships among variables. The results are as follows : 1. The Overall fit of the hypothetical model to the data was good expect chi-square value(GFI=.96, AGFI=.91, RMR=.04). 2. Paths of the model were modified by considering both its theoretical implication and statistical significance of the parameter estimates. Compared to the hypothetical model, the revised model has become parsimonious and had a better fit to the data expect chi-square value(GFI=.95, AFGI= .92. RMR=.04). 3. Some of modifying factors, especially age, occupation, educational levels and body mass index (BMI) are revealed significant effects on health promoting behaviors. 4. Some of cognitive-perceptual factors, especially internal health locus of control, self-efficacy and perceptive health status are revealed significant effects on health promoting behaviors. 5. All predictive variables of health promoting behaviors, especially age, occupation, educational levels, body mass index(BMI), internal health locus of control, self-efficacy & perceptive health status are explained 20.0% of the total variance in the model.
The physiological systems have nonlinear complex phenomena. Expecially, the flow of capillary blood vessel has a nonlinear dynamic system. Thus, this study analyzes nonlinear characteristics of the flow of capillary blood vessel in physiological systems using chaotic tools(phase space reconstruction, correlation dimension, largest lyapunov exponent). Experimental data have been acquired from examining 10 rabbits. The results of chaotic analysis showed a decreasing largest lyapunov exponent and correlation dimension according to increasement glocose index. And we also know the chaotic behavior.
Journal of the Korea Society of Computer and Information
/
v.28
no.5
/
pp.103-111
/
2023
This study aims to analyze the relationship with oral health status through oral examinations, microorganism tests, and surveys of college students and present basic data necessary for the development of oral health education programs to prevent. Results of students who did not receive brushing education showed high motile activities of microorganism, and there was a significant relationship in which students with a large amount of microorganism subjectively felt more tooth pain. Symptoms of halitosis were greater in the DT, there were differences in the type of bacteria and the amount of bacteria in the MT, and oral health was worse if oral aids were not used in the DMFT index. Therefore, it was confirmed that oral health behavior, subjective oral health awareness, and the amount of microorganism had a significant relationship with oral health status. It will be necessary to develop and share and spread customized oral health education media for each life cycle.
Advancing health screening and treatment of cancer techniques, they contribute to grow the probability of survival of cancer patients for a long time. So health behavior and quality of life of the patients are getting important. This study analysed correlation between healthy person and cancer patient's EQ-5D index, social demographic characteristics, health behavior and so on by the multiple regression analysis. The result was that EQ-5D index of cancer patients is lower than healthy persons. Patients of cervical cancer and lung cancer had very low the index especially. In conclusion, cancer have a bad influence on the quality of life. For cancer patients, smoking and drinking are a major factors of correlation. The number of non-smokers among the patients is lower than the number of smokers among healthy persons. This conclusion means that the importance of health behaviors and quality of life for cancer patients is established so that this will be used for basic reference of PHR models and service enhancing quality of life.
Purpose: This study sought to investigate health behavior (HB) and its affecting factors based on Anderson's behavioral model in Lao People's Democratic Republic (PDR). Also, it attempted to identify the mediation of the health locus of control (HLC) between HB and the affecting factors. Methods: Secondary data from 694 people without noncommunicable diseases (NCDs) from a survey conducted by the Ewha Womans and the Laos University were used. The measurements included predisposing, enabling, and needs factors, HLC, HB (current non-smoking, low-risk drinking, physical activity, fruit and vegetable consumption, medical checkup). The mediating effect was analyzed using Baron and Kenny's method and the Sobel test. Results: Predisposing (gender, educational level, ethnic), enabling (social support, item ownership in household) and the needs factors (body mass index) were affecting HB. Internal HLC had a positive influence on HB. The stronger the others and chance HLC, the lower the HB. Chance HLC mediated the relationship between the educational level and HB. Conclusion: There is a need to recognize the importance of chance HLC as a mediator between the educational level and HB. Through this result, high-quality nursing education for the prevention of NCDs should be developed considering the impact of chance HLC.
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