Direct costs of community-acquired pneumonia for hospitalized children in Shanghai, China from 2018 to 2020: a cross-sectional analysis
Bibliographic record
Abstract
Background: Community-acquired pneumonia (CAP) is an acute respiratory infection with a high clinical and economic burden. Clarifying the burden is important for health policy making. However, there is inadequate data on the economic burden of childhood CAP in China. In this study, the direct disease burden of CAP in children was analyzed using city-level data. Methods: A cross-sectional study of the direct costs of CAP for hospitalized children aged 28 days to 18 years old in Shanghai from January 2018 to December 2020 was performed. Information, including the hospitalization costs from the first page of the children’s hospitalized medical records, was obtained. The direct costs included medical services, diagnostics, medications, and medical supplies. The continuous variables with non-normal distributions are expressed as the median (interquartile range). Comparisons between groups were performed using the Kruskal-Wallis H test. The enumeration data are expressed as the number (percentage), and comparisons between groups were performed using the χ2 test. Results: A total of 59 hospitals and 63,614 hospitalized CAP patients were included in this study. Significantly fewer patients were discharged in 2020 than 2018 and 2019 (6,662, 27,943, and 29,009, respectively, P<0.001). Among the patients, 27,741 patients (43.6%) were covered by social medical insurance, 13,509 (21.2%) by commercial health insurance, and 22,364 (35.2%) were self-paying. The annual total direct costs for 2018, 2019, and 2020 were 118.553, 140.865, and 40.064 million Chinese Yuan (CNY), respectively. The average direct costs per hospital stay due to pediatric CAP in Shanghai was 4,707.83 CNY in 2018, a sum that accounted for 7.3% and 16.7% of the per capita disposable income in Shanghai and China in 2018, respectively. The total costs of the group aged <1 year were significantly higher than those of the other age groups (6,271.1 vs. 3,244.3~4,610.7 CNY, P<0.001). The total costs of severe cases were significantly higher than those of non-severe cases (5,200.6 vs. 3,170.4 CNY, P<0.001). The median duration of hospital stay was 6.0 days (5.0, 8.0). Conclusions: CAP hospitalization continues to represent a high clinical and economic burden in Shanghai, China. Specialized hospitals, severe cases, and the length of hospital stay were positively correlated with inpatient costs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".