ArticleJournal of healthcare engineering2021
Cost Control of Treatment for Cerebrovascular Patients Using a Machine Learning Model in Western China.
Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Hospitalization expenses for radical prostatectomy in a tertiary hospital in China: a quantile regression and CHAID decision tree analysis.BMC health services research · 2026Article
- The impacts of the diagnosis-related group payment reform on hospitalization-related medical expenses: evidence from China.Health economics review · 2025Article
- Diagnosis-related groups study of uterine leiomyoma patients based on E-CHAID.Scientific reports · 2025Article
- Two-stage DRG grouping of cerebral infarction based on comorbidity and complications classification.Frontiers in public health · 2025Article
- Optimization of Diagnosis-Related Groups for 14,246 Patients with Uterine Leiomyoma in a Single Center in Western China Using a Machine Learning Model.Risk management and healthcare policy · 2024Article
- Big Data-Enabled Analysis of Factors Affecting Medical Expenditure in the Cerebral Infarction of a Developing City in Western China.Risk management and healthcare policy · 2023Article
- Study of Hospitalization Costs in Patients with Cerebral Ischemia Based on E-CHAID Algorithm.Journal of healthcare engineering · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cerebrovascular disease has been the leading cause of death in China since 2017, and the control of medical expenses for these diseases is an urgent issue. Diagnosis-related groups (DRG) are increasingly being used to decrease the costs of healthcare worldwide. However, the classification variables and rules used vary from region to region. Of these variables, the question of whether the length of stay (LOS) should be used as a grouping variable is controversial. Aim: To identify the factors influencing inpatient medical expenditure in cerebrovascular disease patients. The performance of two sets of classification rules, and the effects of the extent of control of unreasonable medical treatment, were compared, to investigate whether the classification variables should include LOS. Methods: Data from 45,575 inpatients from a Healthcare Security Administration of a city in western China were used. Kruskal-Wallis Results: The average hospitalization cost was 1,284 US dollars, and the total was 51.17 million US dollars. Of this, 43.42 million were paid by the government, and 7.75 million were paid by individuals. Factors including gender, age, type of insurance, level of hospital, LOS, surgery, therapeutic outcomes, main concomitant disease, and hypertension significantly influenced inpatient expenditure (
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