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| Analysis of prognostic risk factors of middle-aged and elderly inpatients in a general hospital in Shandong Province from 2011 to 2015 |
| CAI Yuehong1 WANG Ping1 YU Lingbo1 ZHANG Wei1 LI Zhihua2▲ |
1.Quality Control Office, Weifang People′s Hospital Affiliated to Weifang Medical University, Shandong Province, Weifang 261041, China;
2.Institute of Epidemiology, School of Public Health and Management, Weifang Medical University, Shandong Province, Weifang 261053, China |
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Abstract Objective To analyze the prognostic risk factors of middle-aged and elderly inpatients in Weifang People′s Hospital, and to provide reference for improving the cure rate and improvement rate. Methods The clinical data of inpatients aged 40 to 79 years old in Weifang People′s Hospital from January 2011 to December 2015 was extracted and imported into SPSS 16.0 software, and the software was used to conduct variable assignments and statistical analysis, the effects of patients′ age, sex, marital status, absence or presence of children, severity of disease, payment method, days of hospitalization on the prognosis of inpatients were analysed by univariate analysis using chi-square test and multivariate analysis using Logistic stepwise regression analysis. Results Totally 214 327 inpatients with completed clinical information were accorded with the inclusive criteria, of which, 11 964 inpatients were uncured or died, accounted for 5.6%. The patients′ age, sex, marital status, absence or presence of children, severity of disease, payment method, days of hospitalization could significantly influence the prognosis of the middle-aged and elderly inpatients. Multivariate Logistic regression analysis revealed that the major risk factors were the critical illness [OR = 9.41, 95%CI (9.00, 9.84)], no medical insurance [OR = 3.09, 95%CI (2.94, 3.25)], no children [OR = 2.10, 95%CI (1.75, 2.52)], divorced or widowed [OR = 1.64, 95%CI (1.45, 1.87)], followed by the male and the old age, while long hospital stay was a protective factor. Conclusion In addition to male, old age and critical illness, the patients without medical insurance, children and spouse have a poor prognosis.
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