일개 종합병원을 이용한 농.어촌지역 퇴원환자의 질병분포에 관한 연구

Abstract

본 연구는 농 어촌지역 환자들을 대상으로 질병양상을 살펴보고 의료이용 실태를 분석하여 농 어촌지역 의료 관련 기관의 보건의료서비스 계획수립에 필요한 자료를 제공 하고자 시행되었다. 노령화가 진행된 농 어촌지역 G도 G군에 소재한 종합병원을 대상으로 2009년 7월부터 12월까지 6개월 동안 퇴원환자 2,365건 전수의 의무기록 자료를 토대로 분석하였다. 분석결과, 조사대상 환자의 성별은 남자 55.3%, 여자 44.7%, 연령별은 70세 이상 후기 고령자가 42%로 나타냈다. 입원유형별로는 외래경유 입원환자가 65.5%이며, 진료과목으로는 내과 49.7%, 정형외과 16.7%, 신경외과 13.8% 순이었다. 주 진단명(3단 분류)별 10대 다 빈도에서 S00-T98 18.4%, J00-J99 15.5%, I00-I99 11.5% 순이었다. 평균재원일수는 14.8일이었으며, 주 진단명을 포함한 상병개수는 평균 5.6개이었다. 주 진단명(3단 분류) 다빈도 10대에서 성별, 보험유형별, 입원경로, 연령별 분포 등이 통계적으로 유의한 차이가 있었다. 월별 주 진단명(3단 분류) 다 빈도 10대 분류 분포는 통계적 유의한 차이가 있었다. 주 진단명(3단 분류) 다 빈도 10대분류에 따른 평균재원일수와 상병개수는 통계적으로 유의한 차이가 있었다. 결론적으로, 농 어촌지역의 질병분포는 작업환경과 연중 신체적 무리가 가는 노동행위에 따른 외상성 질환 및 호흡기 질환과 노령화에 따른 각종 만성질환 등 이었다. This study examined the disease conditions of patients from a farming and fishing village area. In order to analyze the medical service utilization, the necessary data were obtained from established health and medical care service plans from medical treatment related organizations. The following results were based on the analysis of data from the medical records of 2,365 discharged patients during a six months period from July to December 2009 at a general hospital in an aging farming and fishing village area. Results: The sex of the patients investigated was male 55.3%, female 44.7%, and the most frequent age category at 42.0% was 70 years of age or older. Based on type of hospital admission, 65.5% of patients who were admitted were originally outpatients. Patients were admitted according to the following departments: 49.7% for the department of internal medicine, 16.7% for the department of orthopedics, and 13.8% for the department of neurosurgery. The average number of days hospitalized was 14.8 days. The following ranks the principal diagnosis among patients in this study: S00-T98 18.4%, J00-J99 15.5%, and I00-I99 11.5%. The average number of diagnosis listed per patient was 5.6. There was a statistically significant difference for the following general characteristics according to principal diagnosis list: gender, type of insurance, admission process, and age category distribution had statistically significant differences. Monthly distribution of principal diagnoses were statistically significant difference. There was a statistically significant difference for principal diagnosis lists according to the average number of days admitted and the number of diagnosis. The results of this study showed the types of disease from typical farming and fishing village regions as disease from external injury due to the work environment of farming and fishing village regions and excessive labor throughout the year, respiratory disease, and various chronic disease from aging.