• Journal of the korean academy of Pediatric Dentistry
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• v.25 no.1
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• pp.162-170
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• 1998

The purpose of this study is to provide framework for understanding children's dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use dental health services. One thousand, nine hundred seven children and their mothers were selected for the study. The children were fourth grade to sixth grade in elementary schools in Iksan city, Korea. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 39 in total, ie 32 predisposing components, 6 enabling components, and 1 need component. Children's Dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 25 percent. Predisposing factors had the greatest effect on utilization. Number of restricted activity days caused by oral disease, having a regular dental care, and susceptibility on oral disease of children were found to have significant major effects on dental utilization of children. Mother's dental visits was most important factor affecting dental utilization of children.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.1
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• pp.195-203
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• 1997

The purpose of this study is to provide framework for understanding women's preventive dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use preventive health services. The sample consisted of 1907 women living Iksan city. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 27 in total, i.e. 20 predisposing components, 6 enabling components, and 1 need component. Preventive dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 11 percent. Number of restricted activity days caused by oral disease, perceived threat of dental disease, having a regular dental care, and income were found to have significant major effects on preventive dental utilization of women. Number of restricted activity days caused by oral disease was the most important variable affecting preventive dental utilization of women.

• Journal of dental hygiene science
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• v.15 no.1
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• pp.67-76
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• 2015

This study aims to determine the factors affecting the dental service utilization of adults. The subjects in this study were 455 adults, whom a survey was conducted form May 7 to June 7, 2013. Statistical verification conducted through PASW Statistics was 18.0. The difference in the distribution of independent variables related with the dental service utilization was verified with chi-square test. Relevant factors were determined using Hierarchical logistic regression analysis. Model I is predisposing factor, Model II is predisposing factor and enabling factor. Model III is predisposing, enabling, need factor. Andersen model factor which infuences dental service utilization of adults resulted that use dental floss (OR, 2.32; CI, 1.39~3.86), use electric toothbrush (OR, 2.98; CI, 1.0~8.89), use interdental brush (OR, 2.55; CI, 1.36~4.78), self-efficacy (OR, 0.68; CI, 0.48~0.96), barriers (OR, 1.45; CI, 1.04~2.04). Predisposing factor and need factor were found to be determinants for dental service utilization in adult.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.342-353
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• 2013

Objectives: It attempted to analyze influencing factors on the utilization of outpatient services which were adopted to predisposing, enabling, and need factors in Anderson model. Methods: The current study analyzed "2007 Korean National Health Nutrition Survey" data, which selected 3,335 people nationwide by proportional systematic sampling. This study analyzed data of persons who used outpatient services in two weeks. It adopted Anderson Model to control contextual factors including socioeconomic factors. The study compared means and fitted logistic regression models and multilevel model. Results: The logistic regression model showed that persons purchased private medical insurance were less likely to use outpatient services than the persons did not purchase private medical insurance. Persons with hypertension and diabetes mellitus, overweight, and problem drinkers were more likely to use outpatient services. Persons with high school graduates or higher in education level and experience of accidents or intoxications were more likely to use outpatient services according to the multilevel analysis of mixed model which treated region as random effect. Conclusion: Higher level of perceived stress increased the probability to use outpatient service than lower level of perceived stress. As number of days a person had exercised increased, the probability to use outpatient service decreased. Overweight and problem alcohol drinking increased the probability of outpatient service use. Further research should be conducted to find more factors influencing outpatient service use.

• Health Policy and Management
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• v.34 no.3
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• pp.271-281
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• 2024

Background: The unmet healthcare needs (UHNs) of people with disabilities (PWD) are not only detrimental to their quality of life but also can lead to serious health outcomes including death. A variety of factors including socioeconomic, personal, and environmental factors affect UHNs for PWD. Previous studies focused on individual socioeconomic and disability characteristics as influencing factors. Our studies included environmental factors that have a significant impact on the use of healthcare service by PWD. Methods: We analyzed the UHNs status and influencing factors among 4,326 adults with disabilities using the Korea Disability Life Data. Chisquare analysis identified differences in UHNs by general, disability, and environmental characteristics. Logistic regression determined factors affecting UHNs. Results: Those with low educational level (adjusted odds ratio [aOR], 1.229; 95% confidence interval [CI], 1.024-1.475), those with low income level (aOR, 1.416; 95% CI, 1.015-1.976), those who enrolled in private insurance (aOR, 1.234; 95% CI, 1.018-1.496), those who need help with daily living (aOR, 1.298; 95% CI, 1.059-1.592), those who did not go out (OR, 1.566; 95% CI, 1.274-1.924), those who use taxis (aOR, 1.407; 95% CI, 1.047-1.891) or call taxi for people with disabilities when going to the hospital (aOR, 1.370; 95% CI, 1.001-1.875), the communication disabled (aOR, 1.304; 95% CI, 1.029-1.651), those with poor subjective health status (aOR, 1.248; 95% CI, 1.043-1.494), those who felt the explanation of treatment results was insufficient (aOR, 4.035; 95% CI, 1.365-11.927), hose dissatisfied with healthcare services (aOR, 3.515; 95% CI, 2.741-4.508) were more likely to experience UHNs. Conclusion: Effective healthcare service provision for PWD requires not only financial assistance but also social support, along with education for healthcare staff, policies that consider the characteristics of disabilities.