Evidence map›Paper›PMID 36385040›Full record

ArticleBMJ open2022

Disease burden of ageing, sex and regional disparities and health resources allocation: a longitudinal analysis of 31 provinces in Mainland China.

Shu Chen, Yafei Si, Katja Hanewald, Bingqin Li, Hazel Bateman, Xiaochen Dai, Chenkai Wu, Shenglan Tang

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

8 authors.

Shu ChenSchool of Risk and Actuarial Studies, UNSW, Sydney, New South Wales, Australia.ORCID 0000-0002-1108-3863
Yafei SiSchool of Risk and Actuarial Studies, UNSW, Sydney, New South Wales, Australia.ORCID 0000-0001-9334-8230
Katja HanewaldSchool of Risk and Actuarial Studies, UNSW, Sydney, New South Wales, Australia.ORCID 0000-0001-9932-2840
Bingqin LiSocial Policy Research Center, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0003-2240-0876
Hazel BatemanSchool of Risk and Actuarial Studies, UNSW, Sydney, New South Wales, Australia.ORCID 0000-0002-6997-938X
Xiaochen DaiDepartment of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-0289-7814
Chenkai WuGlobal Health Research Center, Duke Kunshan University, Kunshan, China.ORCID 0000-0002-2256-0653
Shenglan TangGlobal Health Research Center, Duke Kunshan University, Kunshan, China shenglan.tang@duke.edu.ORCID 0000-0001-5727-078X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo measure the disease burden of ageing based on age-related diseases (ARDs), the sex and regional disparities and the impact of health resources allocation on the burden in China.

designA national comparative study based on Global Burden of Diseases Study estimates and China's routine official statistics. SETTING AND

participantsThirty-one provinces of Mainland China were included for analysis in the study. No individuals were involved.

methodsWe first identified the ARDs and calculated the disability-adjusted life years (DALYs) of ARDs in 2016. We assessed the ARD burden disparities by province and sex and calculated the provincial ARD burden-adjusted age. We assessed historical changes between 1990 and 2016. Fixed effects regression models were adopted to evaluate the impact of health expenditures and health workforce indicators on the ARD burden in 2010-2016.

resultsIn 2016, China's total burden of ARDs was 15 703.7 DALYs (95% uncertainty intervals: 12 628.5, 18 406.2) per 100 000 population. Non-communicable diseases accounted for 91.9% of the burden. There were significant regional disparities. The leading five youngest provinces were Beijing, Guangdong, Shanghai, Zhejiang and Fujian, located on the east coast of China with an ARD burden-adjusted age below 40 years. After standardising the age structure, western provinces, including Tibet, Qinghai, Guizhou and Xinjiang, had the highest burden of ARDs. Males were disproportionately affected by ARDs. China's overall age-standardised ARD burden has decreased since 1990, and females and eastern provinces experienced the largest decline. Regression results showed that the urban-rural gap in health workforce density was positively associated with the ARD burdens.

conclusionChronological age alone does not provide a strong enough basis for appropriate ageing resource planning or policymaking. In China, concerted efforts should be made to reduce the ARDs burden and its disparities. Health resources should be deliberately allocated to western provinces facing the greatest health challenges due to future ageing.

Indexed as

Health ResourcesRespiratory Distress SyndromeAdultAgingChinaCost of IllnessFemaleHumansMaleepidemiologyhealth economicshealth policypublic health

Identifiers

PMID36385040
PMCPMC9670959

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Registered trials

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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.