Multimorbidity and out-of-pocket expenditure for medicines in China and India

被引:10
|
作者
La, Dennis Tuan Vu [1 ]
Zhao, Yang [2 ]
Arokiasamy, Perianayagam [3 ]
Atun, Rifat [4 ]
Mercer, Stewart [5 ]
Marthias, Tiara [1 ,6 ]
McPake, Barbara [1 ]
Pati, Sanghamitra [7 ]
Palladino, Raffaele [8 ,9 ]
Lee, John Tayu [1 ,8 ,10 ]
机构
[1] Univ Melbourne, Nossal Inst Global Hlth, Melbourne, Vic, Australia
[2] Peking Univ, George Inst Global Hlth, Hlth Sci Cente, Beijing, Peoples R China
[3] Int Inst Populat Sci IIPS, Dept Dev Studies, Mumbai, India
[4] Harvard Univ, Sch Publ Hlth, Boston, MA USA
[5] Univ Edinburgh, Ctr Populat Hlth Sci, Edinburgh, Scotland
[6] Gadjah Mada Univ, Dept Publ Hlth, Fac Med Publ Hlth & Nursing, Yogyakarta, Indonesia
[7] ICMR, RMRC, Bhubaneswar, India
[8] Imperial Coll, Dept Primary Care & Publ Hlth, London, England
[9] Univ Federico II, Dept Publ Hlth, Naples, Italy
[10] Australian Natl Univ, Coll Hlth & Med, Canberra, Australia
来源
BMJ GLOBAL HEALTH | 2022年 / 7卷 / 11期
基金
美国国家卫生研究院; 中国国家自然科学基金;
关键词
health policy; MIDDLE-INCOME COUNTRIES; WORLD-HEALTH-ORGANIZATION; SOCIOECONOMIC DEPRIVATION; PHYSICAL MULTIMORBIDITY; CARE SERVICES; OLDER-ADULTS; INSURANCE; PREVALENCE; EPIDEMIOLOGY; SYSTEMS;
D O I
10.1136/bmjgh-2021-007724
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
IntroductionUsing nationally representative survey data from China and India, this study examined (1) the distribution and patterns of multimorbidity in relation to socioeconomic status and (2) association between multimorbidity and out-of-pocket expenditure (OOPE) for medicines by socioeconomic groups.MethodsSecondary data analysis of adult population aged 45 years and older from WHO Study on Global Ageing and Adult Health (SAGE) India 2015 (n=7397) and China Health and Retirement Longitudinal Study (CHARLS) 2015 (n=11 570). Log-linear, two-parts, zero-inflated and quantile regression models were performed to assess the association between multimorbidity and OOPE for medicines in both countries. Quantile regression was adopted to assess the observed relationship across OOPE distributions.ResultsBased on 14 (11 self-reported) and 9 (8 self-reported) long-term conditions in the CHARLS and SAGE datasets, respectively, the prevalence of multimorbidity in the adult population aged 45 and older was found to be 63.4% in China and 42.2% in India. Of those with any long-term health condition, 38.6% in China and 20.9% in India had complex multimorbidity. Multimorbidity was significantly associated with higher OOPE for medicines in both countries (p<0.05); an additional physical long-term condition was associated with a 18.8% increase in OOPE for medicine in China (p<0.05) and a 20.9% increase in India (p<0.05). Liver disease was associated with highest increase in OOPE for medicines in China (61.6%) and stroke in India (131.6%). Diabetes had the second largest increase (China: 58.4%, India: 91.6%) in OOPE for medicines in both countries.ConclusionMultimorbidity was associated with substantially higher OOPE for medicines in China and India compared with those without multimorbidity. Our findings provide supporting evidence of the need to improve financial protection for populations with an increased burden of chronic diseases in low-income and middle-income countries.
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页数:17
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