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Model accuracy grading scale.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Model_accuracy_grading_scale_/26881692
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Objectives This study aims to measure the effect of Construction of Healthcare Consortium (CHC) on the allocation and equity of human resources (HR) for primary health care (PHC) in China, at the same time, it provides some data to support the government’s policies improvement in the next stage. Methods Changes in the equity of allocation of HR for PHC by population are demonstrated through a three-stage approach to inequality analysis that includes the Gini coefficient (G), the Theil index (T), the Concentration index (CI) and Concentration curves. Trends in resource allocation from 2021 to 2030 were projected using the GM (1, 1) model. Results The average rate of growth in volume of HR for PHC accelerates following the release of CHC in the 2016. Whilst some regions have seen their G and T rise between 2012 and 2016, their levels of inequality of allocation for resource shave gradually declined in the years following 2016, but there are exceptions, with the regions of northeast and northwest seeing the opposite. Eastern and northern region accounted for a larger contribution to intra-regional inequality. Concentration index and concentration curves indicate HR for PHC is related to economic income levels. GM (1, 1) projects a growing trend in allocation of resources from 2021 to 2030, but different regions differ in the average rate of growth of resources. Conclusions The inequality of HR for PHC in China is low, however, the inequality between regions has not been eliminated. We still need to take a long-term view to monitor the impact of CHC on the allocation of HR for PHC and its equity in China.
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2024-08-30
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