Forecasting study of nursing human resources in Hubei province based on greg model
TAN Yudi
LI Jingrong
Abstract：Objective To predict the development trend of nursing human resources in Hubei province in the next five years using the grey model.Methods The number of registered nurses and nurses per 1 000 population in Hubei province between 2013 and 2022 were analyzed using the grey model prediction formula.Results From 2013 to 2022,the overall nursing human resources in Hubei province showed an increasing trend,and the gap between urban and rural registered nurses per 1 000 population gradually narrowed after 2020.The grey model had been constructed with excellent fitting results,and the prediction showed that the total number of nurses and the number of registered nurses per 1 000 population in Hubei province will continue to increase from 2023 to 2027.Conclusion Nursing human resources in Hubei province have grown steadily,and the gap between urban and rural registered nurses per 1 000 population has gradually narrowed,but the overall allocation is still insufficient.The grey model demonstrates high accuracy in nursing human resources prediction and provides an important basis for scientific and rational allocation and planning of regional nursing human resources.
Keywords：Grey modelNursing human resourcesPrediction
Publication Date：2024-09-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 529-532 )