Multilevel model for influencing factors of the selection of first diagnosed agencies among residents reporting illness within two weeks in Hubei Province
10.3969/j.issn.1671-8348.2018.13.020
- VernacularTitle:湖北省居民两周患病首诊机构选择影响因素多水平模型分析
- Author:
Shoujie HE
1
;
Yinmei YANG
;
Weizhong WANG
;
Qi PAN
;
Hong YAN
;
Shiyue LI
Author Information
1. 武汉大学健康学院
- Keywords:
first diagnosed agencies;
influencing factors;
multilevel statistical model
- From:
Chongqing Medicine
2018;47(13):1773-1776,1780
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the selection of medical unit and the major influencing factors among residents in Hubei province,to allocate reasonably the health resources and provide reference for developing medical policy.Methods With the method of multi-stage stratified cluster sampling,household survey were done.The multilevel statistical model was used to analyze the influencing factors of the first diagnosed agencies.Results The proportions of residents who chose primary medical institutions as the first diagnosed agencies were 64.5％ in urban areas and 84.3％ in rural areas,and the visiting rate decreased as the level of health care institutions increased.The selection of first diagnosed agencies among patients were related to district (city or village,OR=0.463,95％CI..0.254-0.842),age (OR=1.023,95％CI:1.010-1.036),the educational attainment (OR＞1.000),illness duration in days (OR=0.945,95％CI:0.917-0.973) and number of days in bed (OR=0.854,95 ％ CI:0.825-0.884).Conclusion The residents who chose primary medical institutions as the first diagnosed agencies took a large proportion.District,age,the educational attainment and the illness duration in days had influence on the selection of the first diagnosed agencies among residents.
