Economic Burden of Mycoplasma Pneumoniae Infection in Jinhua, China, 2024-2025
by Zhi-Ping Du·Updated 5d ago
700.9 KB1files
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Description
A multicenter cross-sectional study of 582 patients (372 outpatients, 210 inpatients) with laboratory-confirmed Mycoplasma pneumoniae infection in Jinhua, China, between October 2024 and March 2025. The dataset, authored by Zhi-Ping Du and shared under a CC-BY-4.0 license, quantifies direct, indirect, and intangible costs associated with the infection. It was last updated on June 1, 2026.
Use Cases
Compare outpatient versus inpatient cost structures based on the reported direct, indirect, and intangible cost breakdowns.
Model factors associated with higher economic burden based on variables like disease duration, household income, and payment method mentioned in the description.
Estimate the financial impact of chronic comorbidities on hospitalization costs for Mycoplasma pneumoniae infection.
Benchmark healthcare costs for respiratory infections in a Chinese urban setting against other regions or studies.
Strengths
Includes cost data for 582 patients, with a clear breakdown of 372 outpatients and 210 inpatients.
Reports specific cost figures, such as a mean total cost per inpatient of ¥6,289.21 and per outpatient of ¥817.66.
Data collection employed a multistage stratified random sampling approach and structured questionnaires.
Analysis includes generalized linear models to explore factors associated with economic burden.
Limitations
Row count and column-level documentation are unknown, which limits suitability assessment for specific analytical tasks.
The dataset's scope is limited to a single city (Jinhua) over a six-month period, which may affect generalizability.
The primary data file is a DOCX document (700.9 KB), which may require extraction and structuring before analysis.
Provenance
Source
figshare, authored by Zhi-Ping Du.
Collection Method
Multicenter cross-sectional study using multistage stratified random sampling, structured questionnaires, and hospital information systems.
Time Range
October 2024 to March 2025
Freshness
Last updated 2026-06-01 05:23:29; freshness should be verified.
Geography
Jinhua City, China
The data is contained within a DOCX document; users will need to extract and likely convert the tabular data for analysis.