Evidence map›Paper›PMID 30290807›Full record

ArticleInternational journal for equity in health2018

Equity assessment of the distribution of CT and MRI scanners in China: a panel data analysis.

Luyang He, Hao Yu, Lizheng Shi, Yao He, Jingsong Geng, Yan Wei, Hui Sun, Yingyao Chen

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

31 citing papers in PubMed, 46 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Luyang HeDepartment of Hospital Management, School of Public Health, Key Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, 200032, People's Republic of China.
Hao YuRAND Corporation, Pittsburgh, USA.
Lizheng ShiSchool of Public Health, Tulane University, New Orleans, USA.
Yao HeDepartment of Hospital Management, School of Public Health, Key Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, 200032, People's Republic of China.
Jingsong GengDepartment of Hospital Management, School of Public Health, Key Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, 200032, People's Republic of China.
Yan WeiDepartment of Hospital Management, School of Public Health, Key Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, 200032, People's Republic of China.
Hui SunDepartment of Hospital Management, School of Public Health, Key Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, 200032, People's Republic of China.
Yingyao ChenDepartment of Hospital Management, School of Public Health, Key Lab of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, 200032, People's Republic of China. yychen@shmu.edu.cn.
Fudan University · CNNational Health and Family Planning Commission · CNRAND Corporation · USTulane University · US

Funding

China Medical Board 13-153
6 · The paper itself

Abstract

backgroundDistribution equity assessment of computed tomography (CT) and magnetic resonance imaging (MRI) scanners is an important dimension of access to health technology. However, limited studies on the subject have been done in China. This study aims to reveal the distribution status of CT and MRI scanners and assess their distribution equity of them in China.

methodsFive provinces with 66 cities from China were selected as the study sites. Descriptive analysis was used for the absolute number and number per million population of CT and MRI scanners in the study sites. Fixed effect model was used to examine the health service factors that were associated with the allocation of CT and MRI scanners. The Gini coefficient and concentration index was used to evaluate the distribution equity of CT and MRI scanners.

resultsThe absolute number and number per million population of CT and MRI scanners in five provinces were lower than those of Organization for Economic Co-operation and Development (OECD) countries, but annual growth rates were relatively higher from 2005 or 2006 to 2013. Population, GDP, number of hospitals, number of health professionals, number of hospital beds, number of outpatient visits, and number of inpatient visits all had a positive correlation with the allocation number of CT and MRI scanners. Moreover, the number of health professionals and the number of beds had a much closer correlation than other variables. All the Gini coefficients of CT and MRI had decreased overall. The concentration indices of CT and MRI were all positive and no more than 0.30.

conclusionsLarge gaps in the number of CT and MRI scanners per million population between China and OECD countries emerge, although the growth rate is higher in China. The distribution equity of CT and MRI scanners in China was relatively good from 2005 or 2006 to 2013. The overall distribution equity of CT and MRI scanners also improved during the period. However, consideration attention should be given to the area with large economic disparities.

Indexed as

ChinaData AnalysisHealth Care RationingHealth PersonnelHospitalsHumansMagnetic Resonance ImagingSocioeconomic FactorsTomography, X-Ray ComputedConcentration indexEquityGini coefficientHigh technology medical equipment

Identifiers

PMID30290807
PMCPMC6173854
OpenAlexW2895191761

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.