检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]贵州财经学院公共管理学院公共事业管理教研室,贵阳550004 [2]贵州省卫生厅 [3]贵州省普安县卫生局
出 处:《中国公共卫生》2011年第9期1189-1190,共2页Chinese Journal of Public Health
基 金:贵州省教育厅高校人文社科研究规划项目(08GH022)
摘 要:目的了解贵州省普安县村医医疗卫生服务收入状况并分析影响因素。方法 2010年1月对贵州省黔西南布依族苗族自治州普安县149名村医进行医疗卫生服务收入状况调查,釆用多元Logistic逐步回归方法分析影响因素。结果执业资格以乡村医生为主,占81.9%,执业助理医师占18.1%;村医每周工作时间以>48 h为主,占87.2%,≤48 h占12.8%;2009年参加在岗培训者为主,占86.8%,未参加者占13.2%;村医每人月均收入1 258元;其中,医疗服务收入1 000元,占79.5%,公共卫生服务补助258元,占20.5%,月均收入≤1 000元占55.0%,>1 000元占45.0%;新农合实施后收入增加者为主,占59.1%,未增加者占40.9%;在岗培训、每周工作时间和执业资格对村医医疗卫生服务收入有正向预测作用,OR值分別为8.96,3.94,3.12;卡克斯-史奈尔决定系数为0.17;模型2χ检验值为27.22(P<0.01)。结论村医医疗卫生服务收入较少,在岗培训、每周工作时间和执业资格对村医收入有影响。Objective To explore the status of health service income and its relevant factors among village health personnel (VHP) in Puan, a poverty-stricken minority county, Guizhou province. Methods A cross sectional survey was conducted with a structured questionnaire among 149 VHPs in January 2010 in Puan county,Qianxi'nan autonomous prefec- ture of Buyi and Miao minorities, Guizhou province. Multivariate stepwise logistic regressions were performed. Results About 81.9% of respondents were village doctors with occupational qualification and 18. 1% were assistants of medical doctor. Of all respondents,87.2% reported a working time more than 48 hours per week,and 12. 8% reported ~〈48 hours working time per week;86. 8% accepteed on job training in previous year. The respondents reported an average monthly in- come of 1 258 RMB Yuan,of which 1 000 Yuan for medical services income (79. 5% ) ,258 Yuan for public health service subsidy(20. 5% ). There were 55.0% of the respondents reporting an average monthly income of~〈 1 000 Yuan,and 45.0% reporting that of 〉 1 000 Yuan. There were 59. 1% of the respondents reporting the increase of health service income since the implementation of the new type rural cooperative medical system. On-job training, working time per week, and occupa- tion qualification played a positive prediction role on the health service income, with the odds ratios of of 8. 96,3.94, and 3. 12, respectively, a Cox and Snell R2 of 0. 17, and a modelx2 of 27.22 (P 〈 0. 01 ). Conclusion The level of health service income is lower among VHP. The health service income is influenced by on-job training, working time per week, and occupational qualification.
分 类 号:R195[医药卫生—卫生统计学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.112