Research on Fairness and Prediction of Health Technical Personnel Allocation in Hainan Province Under the Background of Free Trade Port:: Science Publishing Group

Research on Fairness and Prediction of Health Technical Personnel Allocation in Hainan Province Under the Background of Free Trade Port

Yanhua Gong, Wen Feng, Dong Ma

School of Management, Hainan Medical University, Haikou, China

American Journal of Health Research, Volume 11, Issue 4, July 2023

Pages: 95-103

Received: Jun. 19, 2023

Accepted: Jul. 08, 2023

Published: Jul. 13, 2023

DOI: 10.11648/j.ajhr.20231104.11

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Abstract

Objective: To evaluate the fairness of health technical personnel resource allocation in Hainan Free Trade Port in 2021, forecast the development of health technical personnel in Hainan Province in 2022–2030, and provide reference for further optimizing the allocation of health human resources. Methods: The descriptive analysis method was used to systematically study the current situation of health technical personnel allocation in Hainan Province from 2016 to 2021. The fairness of health technicians in Hainan Province in 2021 was analyzed by the agglomeration degree evaluation method. The grey GM(1,1) model was used to predict the development trend of health technicians in Hainan Province from 2022 to 2030. Results: The number of health technicians in Hainan Province from 2016 to 2021 showed an increasing trend. In Hainan Province, the fairness and accessibility of health technicians based on geographical allocation are generally poor, only Haikou City, Sanya City, and Qionghai City are better, and the fairness of health technicians based on population is better than that based on geographical allocation, and Haikou City has an excess of health technicians. It is predicted that by 2030, the total number of health technicians will reach 155,175.78, and the scale will reach 1.9 times that of 2021. Conclusion: The number of health technicians in Hainan Province shows an overall growth trend, but the gap is still large. The structure needs to be further optimized and adjusted, and fairness and accessibility need to be further improved. By persisting in system integration and innovation, improving health personnel policy, innovating talent governance systems, increasing cultivation and introduction, and making full use of big data platforms, these can provide sufficient guarantees for the construction of Hainan Free Trade Port.

Keywords

Health Technician, Fairness, Prediction, Agglomeration Degree, Grey GM(1, 1) Model, Free Trade Port

To cite this article

Yanhua Gong, Wen Feng, Dong Ma. (2023). Research on Fairness and Prediction of Health Technical Personnel Allocation in Hainan Province Under the Background of Free Trade Port. American Journal of Health Research, 11(4), 95-103. https://doi.org/10.11648/j.ajhr.20231104.11

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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