Observational studyBMJ open2024
Trends in under-five mortality rate in China, 1996-2020: a Joinpoint regression and correlation analysis.
Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Analysis of under-five mortality rate and healthcare utilization equity in Hunan Province, China, 2020-2024.Preventive medicine reports · 2026Article
- Reducing urban-rural disparities in maternal and child mortality in China: a 33-year analysis and projection to 2030.Journal of global health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo analyse annual trends of the under-five mortality rate (U5MR) and main cause-specific U5MR in China from 1996 to 2020 and to assess the potential correlation of the healthcare system and health expenditure with the U5MR in China.
designA retrospective observational study using national data from 1996 to 2020. Joinpoint regression was employed to model U5MR trends and Pearson correlation analysis was conducted to examine the relationship between healthcare system factors, health expenditure and U5MR.
settingNationwide study covering both rural and urban populations across China over a 25-year period.
resultsThe U5MR in China experienced a three-stage decline from 1996 to 2020 with an average annual percentage rate change (AAPC) of -7.27 (p<0.001). The AAPC of the rural U5MR (-7.07, p<0.001) was higher than that in urban areas (-5.57, p<0.001). Among the five main causes, the decrease in pneumonia-caused U5MR was the fastest while the decreases in congenital heart disease and accidental asphyxia were relatively slow. The rates of hospital delivery (r=-0.981, p<0.001), neonatal visits (r=-0.848, p<0.001) and systematic health management (r=-0.893, p<0.001) correlated negatively with U5MR. The proportion of government health expenditure in the total health expenditure (THE) correlated negatively with the national U5MR (r=-0.892, p<0.001) while the proportion of out-of-pocket health expenditure in THE correlated positively (r=0.902, p<0.001).
conclusionChina made significant advances in reducing U5MR from 1996 to 2020. The rural-urban gap in U5MR has narrowed, though rural areas remain a key concern. To further reduce U5MR, China should focus on rural areas, pay more attention to congenital heart disease and accidental asphyxia, further improve its health policies, and continue to increase the government health expenditure.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.