ArticleBMC public health2024
Measurement of China's public health level: compilation and research of an index.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Vitamins impacting mental/physical well-being during viral pandemics: a mechanistic review based on COVID-19: a comprehensive review.Inflammopharmacology · 2026Review
- A robust multi-criteria supplier selection framework based on linguistic cubic interval-valued intuitionistic fuzzy aggregation operators.Scientific reports · 2026Article
- Building an integrated healthcare system of China: an assessment of coupling coordination between disease prevention, medical services, and healthcare financing from 2012 to 2021.Health economics review · 2025Article
- Investigating the relationship between social deprivation and health outcomes in China: using spatial regression analysis approach.BMC public health · 2025Article
- Equity and efficiency of public health resource allocation in China.BMC public health · 2025Article
- Can the digital economy foster advancements in the healthcare sector? - a case study using interprovincial data from China.BMC public health · 2025Article
- Coupled coordination relationship and enhancement path between digital economy and essential public health services in China.Frontiers in public health · 2025Article
- Decoding the association between health level and human settlements environment: a machine learning-driven provincial analysis in China.Frontiers in public health · 2025Article
- Spatial disparities and dynamic evolution of professional public health resource supply level in Beijing, China.BMC public health · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundWith the development of the economy, public health has become increasingly important. Therefore, it is important to establish a comprehensive and scientific the public health level index (PHL) system to measure public health level as a research priority. The current research has limitations in exploring the PHL system; therefore, the field still lacks a comprehensive indicator system to measure the level of public health. Therefore, this paper aims to develop a multi-level public health index system and utilizes China as a case study to evaluate its public health status. The objective is to offer insights and recommendations for the improvement of public health initiatives in China and other regions.
methodsUtilizing data from 2011 to 2020, a comprehensive PHL was developed to encompass three vital indices: the Public Health Service Index (PHS), the Public Health Resource Index (PHR), and the Population Health Level Index (PHL). Subsequently, the PHL, PHS, PHR, and PH were meticulously calculated using a comprehensive evaluation method. Amid the current disparity between public health and economic progress, both the spatial Durbin model and the spatial lag model were finally employed to examine the influence of economic level (EL) on PHL, thus affirming the consistent reliability and accuracy of PHS.
resultsOur findings revealed the following: (i) the PHL, PHS, and PHR indices show increasing trends in China; (ii) both EL and PHL exhibit high-high clustering and low-low clustering states; (iii) the PHL in the area has a positive spatial spillover effect on the surrounding area; (iv) EL will result in the siphoning effect of PHL; and (v) EL can enhance PHL through urbanization, PH, and PHS.
conclusionsThe PHL system constructed in this paper demonstrates multiple levels, pluralism, spatio-temporal comparability, and robustness. It can reflect not only the input and output of public health initiatives but also the interconnectedness and autonomy within the public health system. Therefore, it can be widely utilized in other areas of public health research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.