Evidence map›Paper›PMID 39754606›Full record

ArticleAnnals of medicine2025

Health system responsiveness: comparison of different levels of medical institutions in Kunshan City, China.

Zhuang Hong, Jing Lu, Gang Chen, Qi Tang, Heqi Sun, Ting Wei, Sitang Zhao, Jun Lu

Abstract readComparative Study
In one paragraph

Article in Annals of medicine, 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

8 authors.

Zhuang HongSchool of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-7299-5962
Jing LuSchool of Public Health, Fudan University, Shanghai, China.
Gang ChenSchool of Public Health, Fudan University, Shanghai, China.
Qi TangSchool of Public Health, Fudan University, Shanghai, China.
Heqi SunSchool of Public Health, Fudan University, Shanghai, China.
Ting WeiSchool of Public Health, Fudan University, Shanghai, China.
Sitang ZhaoSchool of Public Health, Fudan University, Shanghai, China.
Jun LuSchool of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluation of health system responsiveness (HSR) can improve patient satisfaction, promote health equity and enhance the quality of health services.

objectivesTo explore the differences in HSR among medical institutions at different levels and in various domains.

methodsA multi-stage stratified sampling method was used to select 820 participants aged 18 years and older from Kunshan City, China. Analysis of variance was used for univariate analysis. Linear regression and ordinal logistics were applied to explore the relationship between different hospital levels and HSR. Forest plots were used to illustrate the relationship between each domain and the hospital level.

resultsThe relationship between hospital level and HSR remained significant (

conclusionsBy comparing the HSR of hospitals at different levels, the study identified areas for improvement. Particularly, urgent improvements are needed in prompt attention, communication, basic amenities, social support and the choice of healthcare providers.

Indexed as

Patient SatisfactionAdolescentAdultAgedChinaCross-Sectional StudiesDelivery of Health CareFemaleHumansMaleMiddle AgedPrimary Health CareQuality of Health CareSocial SupportTertiary Care CentersYoung AdultChinaHealth service researchhealth system responsivenessprimary healthcare institutionsecondary hospitaltertiary hospital

Identifiers

PMID39754606
PMCPMC11703129

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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.