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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 08 2024
Historique:
received: 21 05 2024
accepted: 16 08 2024
medline: 20 8 2024
pubmed: 20 8 2024
entrez: 19 8 2024
Statut: epublish

Résumé

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 (

Identifiants

pubmed: 39160221
doi: 10.1038/s41598-024-70474-8
pii: 10.1038/s41598-024-70474-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19137

Subventions

Organisme : National Natural Science Foundation of China
ID : 82173614

Informations de copyright

© 2024. The Author(s).

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Auteurs

Mengyang Liu (M)

Department of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.

Ruize Guo (R)

Department of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.

Jingkun Li (J)

Department of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.

Chao Wang (C)

Department of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.

Lei Yu (L)

Department of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China.

Meina Liu (M)

Department of Biostatistics, School of Public Health, Harbin Medical University, No.157 Baojian Road, Harbin City, 150081, Heilongjiang Province, China. liumeina369@163.com.

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