Volume 19 Issue 10
Oct.  2021
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Article Navigation >  Chinese Journal of General Practice  > 2021  >  19(10): 1768-1771
ZHOU Yang, WANG Fan-ke, YANG Duo-er, WANG Lei, JI Yue-hua. Analysis of human resource allocation and input-output efficiency in a third-grade A specialised hospital in Nanjing[J]. Chinese Journal of General Practice, 2021, 19(10): 1768-1771. doi: 10.16766/j.cnki.issn.1674-4152.002163
Citation: ZHOU Yang, WANG Fan-ke, YANG Duo-er, WANG Lei, JI Yue-hua. Analysis of human resource allocation and input-output efficiency in a third-grade A specialised hospital in Nanjing[J]. Chinese Journal of General Practice, 2021, 19(10): 1768-1771. doi: 10.16766/j.cnki.issn.1674-4152.002163
shu

Analysis of human resource allocation and input-output efficiency in a third-grade A specialised hospital in Nanjing

doi: 10.16766/j.cnki.issn.1674-4152.002163
  • 1.

    Nanjing Stomatological Hospital/Affiliated Stomatological Hospital of Nanjing University Medical College, Nanjing, Jiangsu 210008, China

Funds:

 18GLB011

 JSYGY-3-2020-388

  • Received Date: 2020-11-16
    Available Online: 2022-02-15
    Abstract
  •   Objective  To analyse the human resource allocation status and input-output efficiency of public hospitals so as to provide decision support for optimising human resource allocation and increasing efficiency in public hospitals.  Methods  Taking a third-grade A specialised hospital as a research sample, the basic situation of human resources from 2012 to 2020 and the current distribution of staff's age, education and professional titles in the sample hospital were described, and the human resource input-output efficiency from 2012 to 2019 was analysed with data envelopment analysis (DEA).  Results  At present, the proportions of health technicians (84.66%), nurses with junior college degree or above (99.42%) and pharmacists with full-time bachelor's degree or above majoring in pharmacy (40.00%) reached the standards of the Detailed Rules for Implementation of Accreditation standards for Third-grade Stomatological Hospitals (2011 Edition) in the sample hospital. However, the percentage of nurses in health technicians (43.73%) and the ratio of medical staff and nurses (1 ∶ 0.89) did not meet the above standards. Meanwhile, the number of nursing staff was low, and nurses had low education level, low professional titles and low average age. According to the DEA results, the input-output efficiency of human resources in 2015 and 2019 was relatively effective in the sample hospital. In 2013, 2014, 2016, 2017 and 2018, the input-output efficiency of human resources needed to be optimised. In 2017 and 2018, the staff redundancy was over 15.  Conclusion  Under the background of normalisation of the prevention and control of COVID-19, the sample hospital should formulate talent introduction plan, improve the details of the medical service process, promote the enthusiasm of nurses and attach importance to the training of young talents.

     

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