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SCIENTIFIC LITERATURE · MED

Parkinson hastalığı hastalarında hastaneye yatış maliyetlerini etkileyen faktörlerin analizi: 848 vakaya dayanan retrospektif bir çalışma.

Analysis of factors affecting hospitalization costs in Parkinson disease patients: A retrospective study based on 848 cases.

Makine çevirisi · Editoryal inceleme bekliyor

Medicine (Baltimore) · 2025-02-01

DOI: 10.1097/md.0000000000041540PMID: 39960945

Open accessresearch-article; Journal Article; Observational StudyKaynağa git ↗

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This retrospective study aimed to examine hospitalization costs and associated factors for Parkinson disease (PD) patients. A total of 848 PD patients were extracted from the National Neurological and Brain Center in Xinjiang, and basic demographic information, medical insurance payment, and hospital expenses were collected. SPSS 26.0 was used and univariate analysis was performed on the number of days of hospitalization, times of hospitalizations, gender, payment method, and total hospitalization costs. Correlation analysis was performed using multiple linear regression to explore the influencing factors of hospitalization expenses. The average hospitalization cost of PD patients was 15,515.78 ± 29,667.49 yuan. Diagnosis fees accounted for the highest proportion (29.50%), followed by material costs (25.50%) and drug costs (21.20%). PD patients with less than 5 hospitalizations were the main source of disease, but 2.83% of them had more than 10 hospitalizations (P = .025). Female patients were significantly more than male patients, but the total hospitalization costs of male patients were much higher than those of female patients (P < .001). The number of PD patients increased significantly when they were over 60 years old, but the hospitalization costs were much lower than those of patients under 60 years old (P = .007). The effect of the payment method on total hospitalization cost did not show a statistical difference (P = .213). There was a positive correlation between hospitalization days and total hospitalization cost (P < .001). In conclusion, the results of the regression model suggested that age, length of hospital stay, gender, and number of hospitalizations could be used as predictive variables for hospitalization costs in PD patients.

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