Evidence map›Paper›PMID 40212735›Full record

ArticleSSM - population health2025

Physician-patient sex concordance and patient outcomes: Evidence from China.

Shasha Yuan, Xiaojuan Sha, Kexin Xiao, Mingwei Fu

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Shasha YuanInstitute of Medical Information/ Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaojuan ShaDongying People's Hospital, Dongying, 257091, Shandong, China.
Kexin XiaoSchool of Economics, University of Chinese Academy of Social Sciences, Institute for Global Health and Development, Peking University, Beijing, 102488, China.
Mingwei FuInstitute of Economics, Chinese Academy of Social Sciences, Beijing, 100836, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing body of research on the effects of physician-patient sex concordance on healthcare delivery across various medical settings has yielded highly heterogeneous results, with limited evidence from low- and middle-income countries (LMICs). This study aims to examine the impact of physician-patient sex concordance on both the quality of care (treatment outcomes and 30-day readmission rates) and medical expenditure (total expenditure and specific fee categories) among hospitalized patients with acute myocardial infarctions (AMI) in China. Using hospital administrative data (2018-2022) from a tertiary general hospital in Eastern China, we focus on the patients with a primary discharge diagnosis of AMI to achieve the random matching between physicians and patients (n = 1299). Our findings indicate that 70 % of AMI patients were treated by surgeons of the same sex. The patients in the physician-patient sex concordance group incurred significantly higher hospitalized expenditure, primarily in medication and surgery expenditure, with no significant increase in diagnostic expenditure. Physician-patient sex concordance was associated with an average increase of 2.3 days of hospitalization and a 4.37 percentage point increase in the copayment rate. However, no significant improvement in quality of care was observed. These findings provide a foundation for future research on the underlying mechanisms driving disparities in healthcare delivery due to physician-patient sex concordance, which is critical for the deep understanding of gender equity in health care.

Indexed as

Acute myocardial infarctionChinaInpatient expenditurePatient–physician sex concordanceQuality of care

Identifiers

PMID40212735
PMCPMC11982475

What OpenQuestion holds

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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.