Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data

Summary: Background: Multimorbidity, the presence of two or more mental or physical chronic non-communicable diseases, is a major challenge for the health system in China, which faces unprecedented ageing of its population. Here we examined the distribution of physical multimorbidity in relation to...

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Main Authors: Yang Zhao, PhD, Rifat Atun, ProfFRCP, Brian Oldenburg, ProfPhD, Barbara McPake, ProfPhD, Shenglan Tang, ProfPhD, Stewart W Mercer, ProfPhD, Thomas E Cowling, PhD, Grace Sum, PhD, Vicky Mengqi Qin, PhD, John Tayu Lee, PhD
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:The Lancet Global Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2214109X20301273
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author Yang Zhao, PhD
Rifat Atun, ProfFRCP
Brian Oldenburg, ProfPhD
Barbara McPake, ProfPhD
Shenglan Tang, ProfPhD
Stewart W Mercer, ProfPhD
Thomas E Cowling, PhD
Grace Sum, PhD
Vicky Mengqi Qin, PhD
John Tayu Lee, PhD
spellingShingle Yang Zhao, PhD
Rifat Atun, ProfFRCP
Brian Oldenburg, ProfPhD
Barbara McPake, ProfPhD
Shenglan Tang, ProfPhD
Stewart W Mercer, ProfPhD
Thomas E Cowling, PhD
Grace Sum, PhD
Vicky Mengqi Qin, PhD
John Tayu Lee, PhD
Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
The Lancet Global Health
author_facet Yang Zhao, PhD
Rifat Atun, ProfFRCP
Brian Oldenburg, ProfPhD
Barbara McPake, ProfPhD
Shenglan Tang, ProfPhD
Stewart W Mercer, ProfPhD
Thomas E Cowling, PhD
Grace Sum, PhD
Vicky Mengqi Qin, PhD
John Tayu Lee, PhD
author_sort Yang Zhao, PhD
title Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
title_short Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
title_full Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
title_fullStr Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
title_full_unstemmed Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
title_sort physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in china: an analysis of population-based panel data
publisher Elsevier
series The Lancet Global Health
issn 2214-109X
publishDate 2020-06-01
description Summary: Background: Multimorbidity, the presence of two or more mental or physical chronic non-communicable diseases, is a major challenge for the health system in China, which faces unprecedented ageing of its population. Here we examined the distribution of physical multimorbidity in relation to socioeconomic status; the association between physical multimorbidity, health-care service use, and catastrophic health expenditures; and whether these associations varied by socioeconomic group and social health insurance schemes. Methods: In this population-based, panel data analysis, we used data from three waves of the nationally representative China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013, and 2015. We included participants aged 50 years and older in 2015, who had complete follow-up for the three waves. We used 11 physical non-communicable diseases to measure physical multimorbidity and annual per-capita household consumption spending as a proxy for socioeconomic status. Findings: Of 17 708 participants in CHARLS, 11 817 were eligible for inclusion in our analysis. The median age of participants was 62 years (IQR 56–69) in 2015, and 5766 (48·8%) participants were male. 7320 (61·9%) eligible participants had physical multimorbidity in China in 2015. The prevalence of physical multimorbidity was increased with older age (odds ratio 2·93, 95% CI 2·71–3·15), among women (2·70, 2·04–3·57), within a higher socioeconomic group (for quartile 4 [highest group] 1·50, 1·24–1·82), and higher educational level (5·17, 3·02–8·83); however, physical multimorbidity was more common in poorer regions than in the more affluent regions. An additional chronic non-communicable disease was associated with an increase in the number of outpatient visits (incidence rate ratio 1·29, 95% CI 1·27–1·31), and number of days spent in hospital as an inpatient (1·38, 1·35–1·41). We saw similar effects in health service use of an additional chronic non-communicable disease in different socioeconomic groups and among those covered by different social health insurance programmes. Overall, physical multimorbidity was associated with a significantly increased likelihood of catastrophic health expenditure (for the overall population: odds ratio 1·29, 95% CI 1·26–1·32, adjusted for sociodemographic variables). The effect of physical multimorbidity on catastrophic health expenditures persisted even among the higher socioeconomic groups and across all health insurance programmes. Interpretation: Concerted efforts are needed to reduce health inequalities that are due to physical multimorbidity, and its adverse economic effect in population groups in China. Social health insurance reforms must place emphasis on reducing out-of-pocket spending for patients with multimorbidity to provide greater financial risk protection. Funding: None.
url http://www.sciencedirect.com/science/article/pii/S2214109X20301273
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spelling doaj-dac56f70907b46fc88ccfffd245ba3ff2020-11-25T03:51:00ZengElsevierThe Lancet Global Health2214-109X2020-06-0186e840e849Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel dataYang Zhao, PhD0Rifat Atun, ProfFRCP1Brian Oldenburg, ProfPhD2Barbara McPake, ProfPhD3Shenglan Tang, ProfPhD4Stewart W Mercer, ProfPhD5Thomas E Cowling, PhD6Grace Sum, PhD7Vicky Mengqi Qin, PhD8John Tayu Lee, PhD9The Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre on Implementation Research for Prevention and Control of Noncommunicable Diseases, Melbourne, VIC, Australia; The George Institute for Global Health at Peking University Health Science Center, Beijing, China; Correspondence to: Dr Yang Zhao, The Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, AustraliaDepartment of Global Health and Population, Harvard T H Chan School of Public Health and Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USAThe Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia; WHO Collaborating Centre on Implementation Research for Prevention and Control of Noncommunicable Diseases, Melbourne, VIC, AustraliaThe Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, AustraliaDuke Global Health Institute, Duke University, Durham, NC, USAUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UKDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UKSaw Swee Hock School of Public Health, National University of Singapore, SingaporeSaw Swee Hock School of Public Health, National University of Singapore, SingaporeThe Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia; Public Health Policy Evaluation Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UKSummary: Background: Multimorbidity, the presence of two or more mental or physical chronic non-communicable diseases, is a major challenge for the health system in China, which faces unprecedented ageing of its population. Here we examined the distribution of physical multimorbidity in relation to socioeconomic status; the association between physical multimorbidity, health-care service use, and catastrophic health expenditures; and whether these associations varied by socioeconomic group and social health insurance schemes. Methods: In this population-based, panel data analysis, we used data from three waves of the nationally representative China Health and Retirement Longitudinal Study (CHARLS) for 2011, 2013, and 2015. We included participants aged 50 years and older in 2015, who had complete follow-up for the three waves. We used 11 physical non-communicable diseases to measure physical multimorbidity and annual per-capita household consumption spending as a proxy for socioeconomic status. Findings: Of 17 708 participants in CHARLS, 11 817 were eligible for inclusion in our analysis. The median age of participants was 62 years (IQR 56–69) in 2015, and 5766 (48·8%) participants were male. 7320 (61·9%) eligible participants had physical multimorbidity in China in 2015. The prevalence of physical multimorbidity was increased with older age (odds ratio 2·93, 95% CI 2·71–3·15), among women (2·70, 2·04–3·57), within a higher socioeconomic group (for quartile 4 [highest group] 1·50, 1·24–1·82), and higher educational level (5·17, 3·02–8·83); however, physical multimorbidity was more common in poorer regions than in the more affluent regions. An additional chronic non-communicable disease was associated with an increase in the number of outpatient visits (incidence rate ratio 1·29, 95% CI 1·27–1·31), and number of days spent in hospital as an inpatient (1·38, 1·35–1·41). We saw similar effects in health service use of an additional chronic non-communicable disease in different socioeconomic groups and among those covered by different social health insurance programmes. Overall, physical multimorbidity was associated with a significantly increased likelihood of catastrophic health expenditure (for the overall population: odds ratio 1·29, 95% CI 1·26–1·32, adjusted for sociodemographic variables). The effect of physical multimorbidity on catastrophic health expenditures persisted even among the higher socioeconomic groups and across all health insurance programmes. Interpretation: Concerted efforts are needed to reduce health inequalities that are due to physical multimorbidity, and its adverse economic effect in population groups in China. Social health insurance reforms must place emphasis on reducing out-of-pocket spending for patients with multimorbidity to provide greater financial risk protection. Funding: None.http://www.sciencedirect.com/science/article/pii/S2214109X20301273