Evidence map›Paper›PMID 37035405›Full record

ArticleTranslational pediatrics2023

Direct costs of community-acquired pneumonia for hospitalized children in Shanghai, China from 2018 to 2020: a cross-sectional analysis.

Yingzi Ye, Ling Su, Yonghao Gui, Quan Lu, Jianguo Hong, Daoyang Wang, Danping Gu, Collin Yong, Ying Gu, Guoying Huang and 6 more

Abstract read
In one paragraph

Article in Translational pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Economic burden ofFrontiers in public health · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yingzi Ye *Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Ling Su *Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Yonghao GuiChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Quan LuCenter for Pediatric Clinical Quality Control of Shanghai, Shanghai, China.
Jianguo HongCenter for Pediatric Clinical Quality Control of Shanghai, Shanghai, China.
Daoyang WangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Danping GuCenter for Pediatric Clinical Quality Control of Shanghai, Shanghai, China.
Collin YongEmergency Department, British Columbia Children's Hospital, Vancouver, Canada.
Ying GuChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Guoying HuangChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Hong XuChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Libo WangChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Ying WangDepartment of Critical Care Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University, National Children's Medical Center, Shanghai, China.
Hui YuChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Rui FengChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Xiaobo ZhangChildren's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 χ 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 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.

Indexed as

Community-acquired pneumoniacosts analysiseconomic burdenhospitalized childrenpulmonary parenchyma

Identifiers

PMID37035405
PMCPMC10080487

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.