Evidence map›Paper›PMID 39815300›Full record

ArticleBMC health services research2025

Will the increase of medical equipment affect medical expenditure? Empirical evidence from a quasi-experiment in China.

Qiwei Deng, Zhongliang Zhou, Chi Shen, Dan Cao, Dantong Zhao, Yaxin Zhao, Jianmin Gao

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Qiwei DengSchool of Public Health, Health Science Center, Xi'an Jiaotong University, No.76 West Yanta Road, Xi'an, Shaanxi, 710061, China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China. zzliang1981@163.com.
Chi ShenSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.
Dan CaoSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.
Dantong ZhaoSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.
Yaxin ZhaoSchool of Public Health, Health Science Center, Xi'an Jiaotong University, No.76 West Yanta Road, Xi'an, Shaanxi, 710061, China.
Jianmin GaoSchool of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have shown that using new technologies and medical equipment contributes to increasing health expenditure. Relatively less empirical studies have measured the impact of medical equipment on rising medical costs in China. Against this backdrop, we aim to examine whether the large-scale medical equipment deployment explains the increase in health expenditure.

methodsQuasi-experimental research design with a difference-in-differences approach was adopted to explore whether an increase in the number of large-scale medical equipment impacts on outpatient and inpatient costs. Data were obtained from the 2011-2017 Health Financial Annals in Shaanxi province, China.

resultsThe increase in the number of large-scale medical equipment by 1 - regardless of the initial configuration - resulted in the increase of the average cost per outpatient visit and the average cost per inpatient visit by 10.6% (p < 0.05) and 8.0% (p < 0.05), respectively. Our complex difference in differences model illustrates that the increase in the number of large-scale medical equipment by 1 - regardless of the initial configuration-results in an increase in the average diagnostic cost per outpatient visit and the average diagnostic cost per inpatient visit by 27. 3% (p < 0.01) and 25. 5% (p < 0.01), respectively.

conclusionsOur findings show that the medical expenditure differs significantly with the increase in the number of large-scale medical equipment. This study mainly revealed the relationship between the growth of the number of large-scale medical equipment and medical expenditure. Our novel perspective was used to measure the phenomenon of excessive use, and to explain the social phenomenon of inaccessible and expensive medical care in China.

Indexed as

Equipment and SuppliesHealth ExpendituresChinaHumansChina health systemDifference in differencesHealthcare expenditureMedical equipmentMedical technology

Identifiers

PMID39815300
PMCPMC11734499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.