The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
National equity of health resource allocation in China: data from 2009 to 2013
Open accessAbstract
BACKGROUND: The inequitable allocation of health resources is a worldwide problem, and it is also one of the obstacles facing for health services utilization in China. A new round of health care reform which contains the important aspect of improving the equity in health resource allocation was released by Chinese government in 2009. The aim of this study is to understand the changes of equity in health resource allocation from 2009 to 2013, and make a further inquiry of the main factors which influence the equity conditions in China. METHODS: Data resources are the China Health Statistics Yearbook (2014) and the China Statistical Yearbook (2014). Four indicators were chosen to measure the trends in equity of health resource allocation. Data were disaggregated by three geographical regions: west, central, and east. Theil index was used to calculate the degree of unfairness. RESULTS: The total amount of health care resources in China had been increasing in recent years. However, the per 10, 000 km(2) number of health resources showed a huge gap in different regions, and per 10, 000 capita health resources ownership showed a relatively small disparities at the same time. The index of health resources showed an overall downward trend, in which health financial investment the most unfair from 2009 to 2012 and the number of health institutions the most unfair in 2013. The equity of health resources allocation in eastern regions was the worst except for the aspect of health technical personnel allocation. The regional contribution rates were lower than that of the inter-regional contribution rates which were all beyond 60 %. CONCLUSION: The equity of health resource allocation improved gradually from 2009 to 2013. However, the internal differences within the eastern region still have a huge impact on the overall equity in health resource allocation. The tough issues of inequitable in health resource allocation should be resolved by comprehensive measures from a multidisciplinary perspective.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Factors influencing resource allocation decisions and equity in the health system of Ghana
Asante, A. D., & Zwi, A. B. (2009) · Public Health · doi:10.1016/j.puhe.2009.02.006 · Cited by 74
Cited by
Zhang, T., Xu, Y., Ren, J., Sun, L., & Liu, C. (2017) · International Journal for Equity in Health · doi:10.1186/s12939-017-0543-9 · Cited by 365
Implementation of artificial intelligence in medicine: status analysis and development suggestions
Xiang, Y., Zhao, L., Liu, Z., Wu, X., Chen, J., Long, E., Lin, D., Zhu, Y., Chen, C., Lin, Z., et al. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101780 · Cited by 100
Metadata
- Authors
- Liu, W., Liu, Y., Twum, P., & Li, S.
- Venue
- International Journal for Equity in Health
- Published
- 2016-04-19
- Volume
- 15
- Issue
- 1
- Pages
- 68-68
- ISSN
- 1475-9276 (ISSN-L)
- OpenAlex
- W2339791380
- Cited by
- 176
- References
- 1
- FWCI
- 17.62
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: National equity of health resource allocation in China: data from 2009 to 2013. https://app.cochat.ai/papers/10.1186/s12939-016-0357-1
- The paper
- Liu, W., Liu, Y., Twum, P., & Li, S. (2016). National equity of health resource allocation in China: data from 2009 to 2013. International Journal for Equity in Health. https://doi.org/10.1186/s12939-016-0357-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.