Use of Recode Linkage of census on Medical Care Institutions and Patient Survey
Grant-in-Aid for Scientific Research on Priority Areas (A)
|Research Institution||KEIO UNIVERSITY|
KONDO Takefumi Keio University, Faculty of Medicine, Professor, 医学部, 教授 (20234940)
MATSUURA Kazuyuki College of Nurcing Art and Science, Hyogo, Nurcing Department, Assistant Professor, 看護学部, 助教授 (80254465)
橋本 廸生 国際医療福祉大学, 保健学部, 教授 (00134528)
FUKAWA Tetsuo National Institute of Population and social Security of Research, 部長 (60228872)
YOSHIMURA Isao Science University of Tokyo, Faculty of Technology, Professor, 工学部, 教授 (30010797)
SHIMADA Noki Keio University, Faculty of Medicine, Professor, 医学部, 専任講師 (90255430)
|Project Fiscal Year
1996 – 1998
Completed(Fiscal Year 1999)
|Budget Amount *help
¥16,100,000 (Direct Cost : ¥16,100,000)
Fiscal Year 1998 : ¥3,800,000 (Direct Cost : ¥3,800,000)
Fiscal Year 1997 : ¥5,800,000 (Direct Cost : ¥5,800,000)
Fiscal Year 1996 : ¥6,500,000 (Direct Cost : ¥6,500,000)
|Keywords||Medical Survey / Patient Survey / Hospital Report / 医療施設調査 / 患者調査 / 病院報告 / レコードリンケージ|
We have tried to link the three micro data sets, Medical Facility Survey, Patient Survey, and Hospital Report and built a data base for analytical purpose.
1) We examined relationship among hospital characteristics patient characteristics and average durations of patients. As a result, two groups of average durations less than 10 days and than 100 days reveal different pictures from other groups.
2) Examine a difference between areas, from patient survey (Fukawa). As a result, an area block based on the prevalence rate, reveals large regional differences in the hospitalization ratio, discharge rate, average duration of patients, but, differences are small in healing rate. It became clear that a sickness and wound, were related to these indexes and above-mentioned long term hospitalization was an important factor of regional differences.
3) Compare the average duration of patients in patient survey that of Hospital of Report. As a result, as age profile rises, a correlation became stronger. And the age profile gets highs, the average duration of patient survey becomes longer.
Kondo and Shimada investigate the factors of "hospital selection and satisfaction" and "hospital employment" by adding the 1996 micro data.
Research Output (8results)