Evidence map›Paper›PMID 28910357›Full record

ArticlePloS one2017

The quality of invasive breast cancer care for low reimbursement rate patients: A retrospective study.

Shaofei Su, Han Bao, Xinyu Wang, Zhiqiang Wang, Xi Li, Meiqi Zhang, Jiaying Wang, Hao Jiang, Wenji Wang, Siyang Qu and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 10 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

11 authors at 3 institutions in 2 countries.

Shaofei SuDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Han BaoDepartment of Biostatistics, Public Health College, Inner Mongolia Medical University, Hohhot, PR China.
Xinyu WangDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Zhiqiang WangSchool of Medicine, University of Queensland, Royal Brisbane & Women's Hospital, Brisbane, Queensland, Australia.
Xi LiDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Meiqi ZhangDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Jiaying WangDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Hao JiangDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Wenji WangDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Siyang QuDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.
Meina LiuDepartment of Biostatistics, Public Health College, Harbin Medical University, Harbin, PR China.ORCID http://orcid.org/0000-0002-3790-8069
Harbin Medical University · CNInner Mongolia Medical University · CNThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Though evidence-based treatments have been recommended for breast cancer, underuse of the treatments was still observed. To certain extent, patients' access to care, which can be enhanced by increasing the coverage of health insurance, could account for the current underuse in recommended care. This study aimed to examine the association between different proportions of reimbursement and quality of recommended breast cancer care, as well as length of hospital stay. In this retrospective study, 3669 patients diagnosed with invasive breast cancer between 1 June, 2011 and 30 June, 2013 were recruited. Seven quality indicators from preoperative diagnosis procedures to adjuvant therapy and one composite indicator were selected as dependent variables. Logistic regression and generalized linear models were used to explore the association between quality of care and length of hospital stay with different reimbursement rates. Compared with UEBMI (urban employment basic medical insurance), which represented high level reimbursement rate, patients with lower rates of reimbursement were less likely to receive core biopsy, HER-2 (human epidermal growth factor receptor-2) testing, BCS (breast conserving surgery), SLNB (sentinel lymph nodes biopsy), adjuvant therapy and hormonal treatment. No significant difference in preoperative length of hospital stay was observed among the three insurance schemes, however URBMI (urban resident basic medical insurance) insured patients stayed longer for total length of hospital stay. Significant disparities in utilization of evidence-based breast cancer care among patients with different proportions of reimbursement were observed. Patients with lower rate of reimbursement were less likely to receive recommended care. Our findings could provide important support for further healthcare reform and quality improvement in breast cancer care.

Indexed as

AdultAgedBreast NeoplasmsDisease ManagementFemaleHealthcare DisparitiesHumansInsurance CoverageInsurance, HealthLength of StayLogistic ModelsMedically UninsuredMiddle AgedQuality of Health CareRetrospective StudiesSentinel Lymph Node Biopsy

Identifiers

PMID28910357
PMCPMC5599036
OpenAlexW2755538174

What OpenQuestion holds

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LicenceCC BY
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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.