Geographic information system (GIS) 이용한 대학치과병원에 내원하는 환자들의 공간적 분포의 분석
Geographic information system (GIS) analysis on the distribution of patients visiting at a dental college hospital: a pilot study
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초록
목적: 이 연구의 목적은 단국대학교 부속 치과병원에 내원하는 환자의 거주지를 지리 정보 체계를 이용하여 분석해보고 치과의 각 전문과목 별로 환자 거주지의 지리적 특성을 분석하여 위험요소를 평가하고 치과 질환의 예방에 도움을 주기 위함이다. 연구 재료 및 방법: 2007년에서 2014년까지 단국대학교 치과병원의 구강내과, 구강악안면외과, 소아치과, 치과교정과, 치과보존과, 치과보철과, 치주과에 내원한 환자의 성별, 평균연령, 톨게이트까지의 거리 등을 이용하여 회귀분석을 진행하였고, 방문자수의 특성을 변수로 하여 자료를 구축한 후, 공간지리가중회귀분석을 진행하였다. 결과: 시각화된 환자 자료 분석 결과 환자의 내원은 전국적인 분포 양상을 보였고, 과별로 약간의 분포 차이가 있었다. 단국대학교 치과병원에서 가까울수록 방문자가 증가하며, 번화한 지역보다는 주로 농촌지역의 고령 환자들이 방문하는 경향이 강한 것으로 나타났다. 결론: 본 연구에서 공간지리가중회귀분석을 이용하여 환자군과 진료과, 도로와의 접근성, 나이, 성별, 사회적 소득 등과 관계가 있음을 알 수 있었으며 정확한 상관관계를 규명하기 위해서는 다른 치과병원에 내원한 환자의 정보를 포함한 연구가 필요하다.
Abstract
Purpose: The aims of this study are to analyze and to visualize distribution of patients visiting at a dental college hospital, using geographic information system (GIS). The visualized data can be utilized in patient care and treatment planning, ultimately leading to the assessment of risk evaluation and prevention of dental diseases. Materials and Methods: Patient information data was obtained from Dankook University Dental Hospital including the unit number, gender, date of birth, and address from 2007 to 2014. Patient distribution was visualized using GIS. Statistical analyses were performed using SAS 9.3 and ArcGIS 10.1. Five factors including proximity, accessibility, age, gender, and socioeconomic status were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. There was a little difference in characteristics for each department. As closer at Dankook University Dental Hospital, visitors increased. And it strongly showed that elderly patients in rural areas tend to visit more. Conclusion: The distribution of patients has been shown to be significantly affected by the proximity, accessibility, age, gender and socioeconomic status. The underlying reason remains to be further studied.
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