Evidence map›Paper›PMID 39160221›Full record

ArticleScientific reports2024

Process indicators outshine outcome measures: assessing hospital quality of care in breast cancer treatment in China.

Mengyang Liu, Ruize Guo, Jingkun Li, Chao Wang, Lei Yu, Meina Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Quality Indicators in Otolaryngology-Head and Neck Surgery: A Scoping Review.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    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

6 authors.

Mengyang LiuDepartment of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.
Ruize GuoDepartment of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.
Jingkun LiDepartment of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.
Chao WangDepartment of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.
Lei YuDepartment of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.
Meina LiuDepartment of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China. liumeina369@163.com.

Funding

National Natural Science Foundation of China 82173614
6 · The paper itself

Abstract

Reporting the results of quality indicators can narrow the gap in the quality of care between hospitals. While most studies rely on outcome indicators, they may not accurately measure the quality of care. Process indicators are not only strongly associated with treatment outcomes, but are also more sensitive to whether patients are treated accurately, enabling timely intervention. Our study aims to investigate whether process indicators provide a more reasonable assessment of hospital quality of care compared to outcome indicators. Data were sourced from the Specific Disease Medical Service Quality Management and Control System in China. A total of 113,942 patients with breast cancer treated in 298 hospitals between January 2019 and April 2023 were included in this retrospective study. The rankability of 11 process indicators was calculated and used as a weight to create a new composite indicator. The composite indicators and outcome measures were compared using the O/E ratio categories. Finally, in order to determine the impact of different years on the results, a sensitivity analysis was conducted using bootstrap sampling. The rankability (

Indexed as

Breast NeoplasmsHospitalsQuality Indicators, Health CareQuality of Health CareChinaFemaleHumansMiddle AgedOutcome Assessment, Health CareRetrospective StudiesBootstrapBreast cancerHealthcare in ChinaProcess indicatorsQuality assessmentQuality improvementRankability

Identifiers

PMID39160221
PMCPMC11333708

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.