Evidence map›Paper›PMID 37673450›Full record

ArticleBMJ open2023

Health systems efficiency in China and ASEAN, 2015-2020: a DEA-Tobit and SFA analysis application.

Jing Kang, Rong Peng, Jun Feng, Junyuan Wei, Zhen Li, Fen Huang, Fu Yu, Xiaorong Su, Yujun Chen, Xianjing Qin and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Health system efficiency and equity in ASEAN: an empirical investigation.Cost effectiveness and resource allocation : C/E · 2024
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jing KangHealth and Policy Research Center, Guangxi Medical University, Nanning, China.ORCID 0009-0003-3624-0604
Rong PengSchool of Public Policy and Management, Guangxi University, Nanning, China.
Jun FengSchool of Global management, Hongik University, Seoul, Korea.
Junyuan WeiHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Zhen LiHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Fen HuangHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Fu YuHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Xiaorong SuHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Yujun ChenHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Xianjing QinHealth and Policy Research Center, Guangxi Medical University, Nanning, China.
Qiming FengHealth and Policy Research Center, Guangxi Medical University, Nanning, China fengqm1963@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the health systems efficiency in China and Association of Southeast Asian Nations (ASEAN) countries from 2015 to 2020.

designHealth efficiency analysis using data envelopment analysis (DEA) and stochastic frontier approach analysis.

settingHealth systems in China and ASEAN countries.

methodsDEA-Malmquist model and SFA model were used to analyse the health system efficiency among China and ASEAN countries, and the Tobit regression model was employed to analyse the factors affecting the efficiency of health system among these countries.

resultsIn 2020, the average technical efficiency, pure technical efficiency and scale efficiency of China and 10 ASEAN countries' health systems were 0.700, 1 and 0.701, respectively. The average total factor productivity (TFP) index of the health systems in 11 countries from 2015 to 2020 was 0.962, with a decrease of 1.4%, among which the average technical efficiency index was 1.016, and the average technical progress efficiency index was 0.947. In the past 6 years, the TFP index of the health system in Malaysia was higher than 1, while the TFP index of other countries was lower than 1. The cost efficiency among China and ASEAN countries was relatively high and stable. The per capita gross domestic product (current US$) and the urban population have significant effects on the efficiency of health systems.

conclusionsHealth systems inefficiency is existing in China and the majority ASEAN countries. However, the lower/middle-income countries outperformed high-income countries. Technical efficiency is the key to improve the TFP of health systems. It is suggested that China and ASEAN countries should enhance scale efficiency, accelerate technological progress and strengthen regional health cooperation according to their respective situations.

Indexed as

Government ProgramsHealth Systems AgenciesAsiaChinaGross Domestic ProductHealth EquityHealth policyHEALTH SERVICES ADMINISTRATION & MANAGEMENT

Identifiers

PMID37673450
PMCPMC10496685

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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.