结核病与肺部健康杂志 ›› 2019, Vol. 8 ›› Issue (3): 192-196.doi: 10.3969/j.issn.2095-3755.2019.03.009

• 论著 • 上一篇    下一篇

湖南省县(区)结核病防治机构人力资源现状及配置评价

包昌琳,唐益,王春婷,刘礼亲,万燕萍,唐雄略,王巧智()   

  1. 410013 长沙,湖南省结核病防治所
  • 收稿日期:2019-07-22 出版日期:2019-09-30 发布日期:2019-10-15
  • 通信作者: 王巧智 E-mail:373448885@qq.com

Evaluation of the human resources status and allocation of tuberculosis prevention and cure institutions in counties (districts) of Hunan Province

BAO Chang-lin,TANG Yi,WANG Chun-ting,LIU Li-qin,WAN Yan-ping,TANG Xiong-lue,WANG Qiao-zhi.()   

  1. Hunan Provincial Tuberculosis Prevention and Cure Institute, Changsha 410013, China
  • Received:2019-07-22 Online:2019-09-30 Published:2019-10-15
  • Contact: Qiao-zhi. WANG E-mail:373448885@qq.com

摘要:

目的 了解湖南省县(区)结核病防治(简称“结防”)机构人力资源现状及配置公平性,为优化人力资源配置提供依据。方法 采取普查与抽查相结合的方法共调查128个县(区)的128家结防机构。根据《湖南省统计年鉴(2017年)》将湖南省县(区)分成77个(60.1%)非贫困县(区)和51个(39.8%)贫困县(区),利用2018年6月上报的《湖南省结核病防治服务体系全面调查表》《湖南省结核病信息管理系统2017年报表》,收集各结防机构工作人员相关信息,调查分析湖南省县(区)级结防机构的人力资源配置情况。结果 128个县(区)中,缺编制单位71个(55.5%);其中,非贫困县(区)44个(62.0%),贫困县(区)27个(38.0%);有独立结核病防控科的单位有89个(69.5%),配置人员达标的单位有10个(7.8%)。结防机构共有工作人员579名,其中,男304名(52.5%),女275名(47.5%);年龄主要分布在30~50岁,共373名(64.4%);学历分布以本科和专科为主,分别为212名(36.6%)和277名(47.8%);职称分布以中级和初级为主,分别为227名(39.2%)和250名(43.2%);有编制的人员506名(87.4%),专职人员419名(72.4%);从事结防工作年限2年以下者147名(25.4%)。全省县(区)结防机构工作人员人均服务人口11.8万人,人均服务地域半径10.8km,人均服务患者86例。全省县(区)结防机构工作人员服务人口、地域半径、结核病患者数的基尼系数分别为0.34、0.29和0.36。结论 湖南省县(区)结防机构人力资源配置为适度公平状态,但人员数量不足,缺乏高层次人才,大部分人员工作年限偏低,结防工作负担较重。

关键词: 结核, 卫生系统机构, 卫生人力, 数据说明, 统计, 评价研究, 小地区分析

Abstract:

Objective This study aimed to understand current situation of human resourses and allocation fairness of Tuberculosis Prevention and Cure Institutions (TPCIs) in counties (districts) of Hunan Province, and provide the basis for optimizing the allocation of human resources.Methods A total of 128 TPCIs in 128 counties (districts) were investigated by a combination of census and spot check. According to Hunan Provincial Statistical Yearbook (2017), the counties (districts) of Hunan Province were divided into 77 (60.1%) non-poverty counties (districts) and 51 (39.8%) poverty counties (districts). Then, based on Comprehensive Questionnaire of Hunan Provincial Service System of Tuberculosis Prevention and Cure reported in June 2018 and Report Forms of Hunan Provincial Information Management System of Tuberculosis Prevention and Cure in 2017, relevant information of staff in TPCIs was collected, and human resources allocation of TPCIs in counties (districts) of Hunan Province was invesgated and analyzed.Results Among the 128 surveyed counties (districts), 71 (55.5%) TPCIs lacked organizations, including 44 (62.0%) non-poverty counties (districts) and 27 (38.0%) poverty counties (districts); 89 (69.5%) TPCIs had independent tuberculosis prevention and control departments, and 10 (7.8%) TPCIs attained the required standards in human resources allocation. In total, 579 staffs in TPCIs were investigated in this study, including 304 males (52.5%) and 275 females (47.5%); the age distribution mainly ranged from 30 to 50 years old, with a total of 373 (64.4%) staffs; the academic qualifications were mainly undergraduate (212, 36.6%) and specialist (277, 47.8%); the professional titles were mainly intermediate (227, 39.2%) and junior (250, 43.2%); there were 506 (87.4%) regular employees and 419 (72.4%) full-time staffs; and 25.4% (147/579) staffs engaged in tuberculosis prevention and cure for less than 2 years. The per capita service population of staffs of TPCIs in counties (districts) of the province was 118 000, the radius of per capita service area was 10.8 km, and per capita patients were 86. The Gini coefficients of the service population, regional radius and number of tuberculosis patients of staffs of TPCIs in counties (districts) of the province were 0.34, 0.29 and 0.36, respectively.Conclusion The human resources allocation of TPCIs in counties (districts) of Hunan Province is moderately equitable. However, there is a lack of the manpower and high-level talents, and most of the staff have short working period and heavy workload.

Key words: Tuberculosis, Health systems agencies, Health manpower, Data interpretation, statistical, Evaluation studies, Small-area analysis