ArticleBMC oral health2025
Efficiency analysis of oral health resource allocation in public medical institutions in Yunnan Province at the end of the 13th five-year plan in China.
Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Factors associated with job burnout among dental nurses: a cross-sectional study.Frontiers in public health · 2026Article
- The spatial effects and influencing factors of inter-provincial health resource allocation efficiency in China.BMC health services research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundThis study aimed to analyze the efficiency of oral health resource allocation in public medical institutions in Yunnan Province at the end of the 13th Five-Year Plan period in China. The findings will provide a theoretical basis for the government and health administration departments to formulate regional medical and health plans and adjust policies and systems. Additionally, tailored recommendations will be proposed to optimize the allocation of oral health resources in public medical institutions in Yunnan Province and enhance resource utilization efficiency.
methodsThe present investigation scrutinizes the prevailing distribution of oral health resources within public institutions situated in Yunnan Province, marking the culmination of the 13th Five-Year Plan era. Employing cross-sectional analysis, the study utilizes conventional BCC and CCR models of Data Envelopment Analysis (DEA), alongside the super-efficiency SBM model, to assess the efficacy of resource allocation across 16 prefectures (or cities) within the province.
resultsIn the conventional model analysis, the average technical efficiency (TE) of oral health resource allocation in 16 prefectures (or cities) of Yunnan Province at the end of the 13th Five-Year Plan was 0.867, with an average pure technical efficiency (PTE) of 0.914 and an average scale efficiency (SE) of 0.950. Out of the 16 decision-making entities, 2 exhibit effectiveness according to DEA standards, 2 demonstrate weak effectiveness, while 9 manifest ineffectiveness. In the SBM super-efficiency model analysis, the TE of the whole province was 0.820, accompanied by an average PTE of 1.110 and an average SE of 0.863. Five prefectures (or cities) attained super-efficiency effectiveness, with Kunming City (the provincial capital of Yunnan) distinguishing itself notably owing to substantial disparities in PTE (3.840) and SE (0.293).
conclusionOn the whole, the efficacy in leveraging oral health resources within public medical institutions throughout Yunnan Province was deemed relatively commendable. Nonetheless, notable disparities among prefectures (or cities) persisted, characterized by an excessive concentration of premium resources. Ineffective resource utilization coexisted with inadequate distribution. It is recommended to customize the distribution of oral health resources in each area according to local conditions, facilitate the decentralization of premium resources, and enhance the capacity of oral medical services.
Indexed as
Identifiers
What OpenQuestion holds
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.