Evidence map›Paper›PMID 32366235›Full record

ArticleBMC health services research2020

Rural and urban differences in health system performance among older Chinese adults: cross-sectional analysis of a national sample.

Vicky Mengqi Qin, Barbara McPake, Magdalena Z Raban, Thomas E Cowling, Riyadh Alshamsan, Kee Seng Chia, Peter C Smith, Rifat Atun, John Tayu Lee

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 4% of its field
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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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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

9 authors at 8 institutions in 4 countries.

Vicky Mengqi QinSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. mq.qin@u.nus.edu.
Barbara McPakeNossal Institute for Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Magdalena Z RabanCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Thomas E CowlingDepartment of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Riyadh AlshamsanDepartment of Primary Care and Public Health, School of Public Health, Imperial College, London, UK.
Kee Seng ChiaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Peter C SmithCentre for Health Economics, University of York, York, UK.
Rifat AtunDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.
John Tayu LeeNossal Institute for Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Imperial College London · GBHarvard University · USLondon School of Hygiene & Tropical Medicine · GBMacquarie University · AUNational University Health System · SGNational University of Singapore · SGUniversity of Melbourne · AUUniversity of York · GB

Funding

National University of Singapore Graduate Research Scholarship, National University of Singapore
6 · The paper itself

Abstract

backgroundDespite improvement in health outcomes over the past few decades, China still experiences striking rural-urban health inequalities. There is limited research on the rural-urban differences in health system performance in China.

methodWe conducted a cross-sectional analysis to compare health system performance between rural and urban areas in five key domains of the health system: effectiveness, cost, access, patient-centredness and equity, using data from the WHO Study on Global AGEing and adult health (SAGE), China. Multiple logistic and linear regression models were used to assess the first four domains, adjusting for individual characteristics, and a relative index of inequality (RII) was used to measure the equity domain.

findingsCompared to urban areas, rural areas had poorer performance in the management and control of hypertension and diabetes, with more than 50% lower odds of having breast (AOR = 0.44; 95% CI: 0.30, 0.64) and cervical cancer screening (AOR = 0.49; 95% CI: 0.29, 0.83). There was better performance in rural areas in the patient-centredness domain, with more than twice higher odds of getting prompt attention, respect, clarity of the communication with health provider and involvement in decision making of the treatment in inpatient care (AOR = 2.56, 2.15, 2.28, 2.28). Although rural residents incurred relatively less out-of-pocket expenditures (OOPE) for outpatient and inpatient services than urban residents, they were more likely to incur catastrophic expenditures on health (AOR = 1.30; 95% CI 1.16, 1.44). Wealth inequality was found in many indicators related to the effectiveness, costs and access domains in both rural and urban areas. Rural areas had greater inequalities in the management of hypertension and coverage of cervical cancer (RII = 7.45 vs 1.64).

conclusionOur findings suggest that urban areas have achieved better prevention and management of non-communicable disease than rural areas, but access to healthcare was equivalent. A better understanding of the causes of the observed variations is needed to develop appropriate policy interventions which address these disparities.

Indexed as

AgedChinaCross-Sectional StudiesFemaleHealth Services ResearchHealth Status DisparitiesHumansMaleMiddle AgedQuality Indicators, Health CareRural Health ServicesRural PopulationUrban Health ServicesUrban PopulationHealth policy, ChinaHealth system performanceHealth systemsRural-urban disparity

Identifiers

PMID32366235
PMCPMC7197140
OpenAlexW3022802441

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.