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G C S, Adhikari N. Decomposing inequality in Maternal and Child Health (MCH) services in Nepal. BMC Public Health 2023; 23:995. [PMID: 37248553 DOI: 10.1186/s12889-023-15906-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 05/16/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND About 75.5% of women in Nepal's urban areas receive at least four ANC visits, compared to 61.7% of women in the country's rural areas. Similarly, just 34% of women in the lowest wealth quintile give birth in a medical facility compared to 90% of women in the richest group. As a result of this inequality, the poor in emerging nations suffer since those who are better off can make greater use of the healthcare than those who are less fortunate. This study aims to examine and decompose the contributions of various socioeconomic factors towards MCH service inequality in Nepal in the years 2011 and 2016. METHODS Inequality in MCH services was estimated using concentration curves and their corresponding indices using data from Nepal Demographic Health Survey (NDHS) 2011 and 2016. We examined the inequality across three MCH service outcomes: less than 4 ANC visits, no postnatal checkups within 2 months of delivery and no SBA delivery and decomposed them across observed characteristics of the mothers aged between 15 and 49. Furthermore, Oaxaca-blinder decomposition approach was used to measure and decompose the inequality differential between two time periods. RESULTS Inequality in MCH services was prevalent for all 3 MCH outcomes in 2011 and 2016, respectively. However, the concentration indices for <4 ANC visits, no SBA delivery, and no postnatal checkups within 2 months of birth increased from -0.2184, -0.1643, and -0.1284 to -0.1871, -0.0504, and -0.0218 correspondingly, showing the decrease in MCH services inequality over two time periods. Wealth index, women's literacy, place of living, mother's employment status, and problem of distance to reach nearest health facility were the main contributors. CONCLUSION We find that MCH services are clearly biased towards the women with higher living standards. National policies should focus on empowering women through education and employment, along with the creation of health facilities and improved educational institutions, in order to address inequalities in living standards, women's education levels, and the problem of distance. Leveraging these factors can reduce inequality in MCH services.
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Affiliation(s)
- Shreezal G C
- Central Department of Economics, Tribhuvan University, Kirtipur, 44600, Kathmandu, Nepal.
| | - Naveen Adhikari
- Central Department of Economics, Tribhuvan University, Kirtipur, 44600, Kathmandu, Nepal
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Guo P, Qin Y, Wang R, Li J, Liu J, Wang K, Li Y, Kang Z, Hao Y, Liu H, Sun H, Cui Y, Shan L, Wu Q. Perspectives and evaluation on the effect of financial burden relief of medical insurance for people with catastrophic diseases and its influencing factors. Front Public Health 2023; 11:1123023. [PMID: 37089514 PMCID: PMC10117759 DOI: 10.3389/fpubh.2023.1123023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/15/2023] [Indexed: 04/25/2023] Open
Abstract
Background Catastrophic disease sufferers face a heavy financial burden and are more likely to fall victim to the "illness-poverty-illness" cycle. Deeper reform of the medical insurance system is urgently required to alleviate the financial burden of individuals with catastrophic diseases. Methods Data were obtained from a cross-sectional questionnaire survey conducted in Heilongjiang in 2021, and logistic regression and restricted cubic spline model was used to predict the core factors related to medical insurance that alleviate the financial burden of people with catastrophic diseases. Results Overall, 997 (50.92%) medical insurance-related professionals negatively viewed financial burden relief for people with catastrophic diseases. Factors influencing its effectiveness in relieving the financial burden were: whether or not effective control of omissions from medical insurance coverage (OR = 4.04), fund supervision (OR = 2.47) and degree of participation of stakeholders (OR = 1.91). Besides, the reimbursement standards and the regional and population benefit package gap also played a role. The likelihood of financial burden relief increased by 21 percentage points for each unit increase in the level of stakeholder discourse power in reform. Conclusion China's current medical insurance policies have not yet fully addressed the needs of vulnerable populations, especially the need to reduce their financial burden continuously. Future reform should focus on addressing core issues by reducing the uninsured, enhancing the width and depth of medical insurance coverage, improving the level and capacity of medical insurance governance that provides more discourse power for the vulnerable population, and building a more responsive and participatory medical insurance governance system.
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Affiliation(s)
- Pengfei Guo
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yinghua Qin
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Health Economy and Social Security, College of Humanities and Management, Guilin Medical University, Guilin, China
| | - Rizhen Wang
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jiacheng Li
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jingjing Liu
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Kexin Wang
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Ye Li
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Zheng Kang
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yanhua Hao
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Huan Liu
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Hong Sun
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yu Cui
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Linghan Shan
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
| | - Qunhong Wu
- Department of Social Medicine, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China
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Coube M, Nikoloski Z, Mrejen M, Mossialos E. Persistent inequalities in health care services utilisation in Brazil (1998-2019). Int J Equity Health 2023; 22:25. [PMID: 36732749 PMCID: PMC9893569 DOI: 10.1186/s12939-023-01828-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 01/10/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND One of the primary objectives of the Brazilian health care system is to improve the health and well-being of all citizens. Since the establishment of the Unified Health System/Sistema Único de Saúde (SUS) in 1988, Brazil has made strides towards reducing inequalities in health care services utilisation. However, there are currently no comprehensive and up-to-date studies focused on inequalities in both curative and preventive health care services utilisation. METHODS We evaluated data from the National Household Sample Survey and the Brazilian National Health Survey, which are two nationally representative studies that include findings from 1998, 2003, and 2008 and 2013 and 2019, respectively. We calculated Erreygers-corrected Concentration Indices (CInds) to evaluate the magnitude of socioeconomic-related inequalities associated with five indicators of health care services utilisation, including physician visits, hospital admissions, surgical procedures, Pap smears, and mammograms. The main factors associated with these inequalities were identified via a decomposition analysis of the calculated CInds. RESULTS While the results of our analysis revealed persistent inequalities in health care services utilisation that favour the wealthy, we found that the overall magnitude of these inequalities decreased over time. The largest inequalities were observed in the utilisation of preventive care services (Pap smears and mammograms) and services available in the poorest regions of the country. Except for admissions for labour and delivery, our findings revealed that wealthier individuals were more likely to utilise hospital services; this represents a change from findings reported in previous years. Private health insurance coverage and individual socioeconomic status are significantly associated with inequalities in health care services utilisation throughout Brazil. CONCLUSIONS Collectively, our findings suggest that we must continue to monitor potential inequalities in health care service utilisation to determine whether Brazilian policy objectives focused on improved health outcomes for all will ultimately be achieved.
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Affiliation(s)
- Maíra Coube
- grid.452413.50000 0001 0720 8347Fundação Getúlio Vargas, São Paulo, Brazil ,Instituto de Estudos Para Políticas de Saúde (IEPS), São Paulo, Brazil
| | - Zlatko Nikoloski
- grid.13063.370000 0001 0789 5319Department of Health Policy, London School of Economics and Political Science, London, WC2A 2AE UK
| | - Matías Mrejen
- Instituto de Estudos Para Políticas de Saúde (IEPS), São Paulo, Brazil
| | - Elias Mossialos
- grid.13063.370000 0001 0789 5319Department of Health Policy, London School of Economics and Political Science, London, WC2A 2AE UK
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Fu L, Fang Y, Dong Y. The healthcare inequality among middle-aged and older adults in China: a comparative analysis between the full samples and the homogeneous population. HEALTH ECONOMICS REVIEW 2022; 12:34. [PMID: 35761111 PMCID: PMC9238267 DOI: 10.1186/s13561-022-00383-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND In the Chinese population, the middle-aged and older adults are the two main segments that utilize a large portion of healthcare. With the fast growth of the two segments, the demands of healthcare services increases significantly. The issue related to inequality in utilization of healthcare emerges with the growth and it deserves more attention. Most existing studies discuss overall inequality. Less attention is paid to inequality among subdivisions, that is, relative inequality. This study focuses on the inequality of healthcare utilization among the homogeneous population and the inequality of the full samples in China. METHODS Data were obtained from four waves of the China Health and Retirement Longitudinal Study (CHARLS): 2011, 2013, 2015 and 2018. First, the Concentration Index (CI) was used to measure the inequality of outpatient, inpatient and preventive care for the samples, and regression analysis was applied to decompose the contributing factors of inequality. Then SOM is introduced to identify homogeneous population through clustering and measure the inequality in three types of healthcare utilization among homogeneous population. Based on this, the difference between absolute inequalities and relative inequalities was discussed. RESULTS The preventive care is shown to have the highest degree of inequality inclined to the rich and has the largest increase (CI: 0.048 in 2011 ~ 0.086 in 2018); The inequality degree in outpatient care appears to be the smallest (CI: -0.028 in 2011 ~ 0.014 in 2018). The decomposition results show that age, education, income, chronic disease and self-reported health issues help explain a large portion of inequality in outpatient and inpatient care. And the contribution of socioeconomic factors and education to the inequality of preventive care is the largest. In regards to three types of healthcare among the homogeneous population, the degree of inequality seems to be higher among group with high socioeconomic status than those with lower socioeconomic status. In particular, for the people who are in the high socioeconomic group, the degree of inequality in preventive care is consistently higher than in outpatient and inpatient care. The inequality degree of preventive care in the low socioeconomic status group varies significantly with the flexibility of their response to policies. CONCLUSIONS Key policy recommendations include establishing a health examination card and continuously improving the fit of free preventive care with the needs of the middle-aged and older adults; developing CCB activities to avoid people's excessive utilization in the high socioeconomic status group or insufficient utilization in the low socioeconomic status group; reasonable control of reimbursement and out-of-pocket payments.
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Affiliation(s)
- Liping Fu
- College of Management and Economics, Tianjin University; Center for Social Science Survey and Data, Tianjin University, Tianjin, 300072, China
- College of Politics and Public Administration, Qinghai Minzu University, Qinghai, 810007, China
| | - Ya'nan Fang
- College of Management and Economics, Tianjin University; Center for Social Science Survey and Data, Tianjin University, Tianjin, 300072, China.
| | - Yongqing Dong
- College of Management and Economics, Tianjin University; Center for Social Science Survey and Data, Tianjin University, Tianjin, 300072, China
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Pu X, Wang Y, Zhang W, Zeng M. Can Basic Medical Insurance Reduce Elderly Family Income Inequality in China? Front Public Health 2022; 10:838733. [PMID: 35242735 PMCID: PMC8885622 DOI: 10.3389/fpubh.2022.838733] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 01/14/2022] [Indexed: 11/13/2022] Open
Abstract
Basic medical insurance is the critical medical security system to realize common prosperity in China. This study explores the impact of basic medical insurance on elderly family income inequality in China using the China Family Panel Studies (CFPS) data in 2018. Our finding shows that basic medical insurance is significantly negatively correlated with elderly family income inequality, indicating basic medical insurance has a positive impact on narrowing the elderly family income inequality. The heterogeneity analysis shows that basic medical insurance has a more significant reduction effect among the eastern elderly and the younger elderly family. The results also suggest that health performance significantly mediates the relationship between basic medical insurance and elderly family income inequality. This study implies that the Chinese government should increase the proportion of basic medical insurance reimbursement and expand the scope of reimbursement for basic medical insurance to realize income fairness among elderly families.
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Affiliation(s)
- Xiaohong Pu
- School of Public Administration, Sichuan University, Chengdu, China
| | - Yilong Wang
- School of Public Administration, Sichuan University, Chengdu, China
- School of Management, Northwest Minzu University, Lanzhou, China
| | - Weike Zhang
- School of Public Administration, Sichuan University, Chengdu, China
- *Correspondence: Weike Zhang
| | - Ming Zeng
- School of Public Administration, Sichuan University, Chengdu, China
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The contribution of Urban and Rural Resident Basic Medical Insurance to income-related inequality in depression among middle-aged and older adults: Evidence from China. J Affect Disord 2021; 293:168-175. [PMID: 34198032 DOI: 10.1016/j.jad.2021.06.027] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/07/2021] [Accepted: 06/14/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Previous studies have not investigated the contribution of medical insurance to income-related inequality in depressive symptoms. To fulfill this research gap, this study aimed to assess the contribution of Urban and Rural Resident Basic Medical Insurance (URRBMI) to income-related inequality in depressive symptoms among middle-aged and older adults in China. METHODS The data of this study was obtained from the 2018 wave of China Health and Retirement Longitudinal Study (CHARLS). The data of Particulate Matter 2.5 (PM2.5) concentrations were sourced from Atmospheric Composition Analysis Group. Furthermore, concentration curve and concentration index were employed to measure the extent of income-related inequality in depressive symptoms. Moreover, decomposition method of concentration index was used to quantify the contribution of URRBMI to the income-related inequality in depressive symptoms. RESULTS The concentration index values of depression occurrence and score were -0.1067 and -0.0712, respectively, indicating pro-rich inequality. The decomposition results reveal that the contribution rate of URRBMI to concentration index of depression occurrence was 18.88%, which indicates that it reduced the pro-rich inequality in depression occurrence. In addition, the contribution rate of URRBMI to concentration index of depression score was 3.55%, indicating that it relieved the pro-rich inequality in depression score. CONCLUSION This study found pro-rich inequalities in depression occurrence and score which were reduced with the coverage of URRBMI. It is quite necessary to further expand the coverage of URRBMI.
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Obi IR, Obi KM, Seer-Uke EN, Onuorah SI, Okafor NP. Preventive health care services utilization and its associated factors among older adults in rural communities in Anambra State, Nigeria. Pan Afr Med J 2021; 39:83. [PMID: 34466185 PMCID: PMC8379407 DOI: 10.11604/pamj.2021.39.83.26997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 05/15/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction quality of life and life expectancy of people are improved when preventive health care services are utilized because these identify treatable health problems and puts life-threatening diseases in check. Morbidity and mortality associated with age-related chronic disease among the older adults is on the increase, therefore, this study aims at determining preventive health care services utilization among older adults in rural communities in Anambra State. Methods a cross sectional design adopted for this study was carried out on older adults from the ages of 65 years and above in rural communities in Anambra State from October 2019 to January 2020. Data were collected through researcher-administered structured questionnaire. Data were analysed using univariable and multivariable regression analysis. Results a total of 1944 older adults participated with an overall cluster percentage of 40.6% older adults utilizing investigated preventive health care services. The results of the multivariable analysis indicates that the following factors were associated with utilization of preventive healthcare services: male gender (aOR: 0.443, 95%CI: 0.281 - 5.472, p=0.47), level of education; primary (aOR: 1.536, 95%CI: 1.201 - 5.261, p=0.00), secondary (aOR: 4.516, 95%CI: 3.192 - 6.242, p=0.00), and tertiary (aOR: 3.407, 95%CI: 3.199 - 5.666, p=0.00)], income of N50,000-N100,000 (aOR: 2.754, 95%CI: 1.066 - 10.766, p=0.01), and N100,000 and above (aOR: 4.233, 95%CI: 1.846 - 12.811, p=0.00)], and health insurance [aOR: 0.691, 95%CI: 0.422 - 1.945, p=0.03]. Conclusion preventive health care services were under-utilized. Creating awareness on the importance of utilizing preventive health care services is highly recommended since most age-related chronic diseases once established may last a lifetime and affect quality of life and wellbeing.
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Affiliation(s)
- Ifunanya Rosemary Obi
- Department of Physical and Health Education, Federal College of Education (Technical), Umunze, Nigeria
| | | | | | | | - Nonye Peculiar Okafor
- Department of Human Kinetics and Sports Studies, Alvan Ikoku College of Education, Owerri, Nigeria
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Ye L, Chen J, Fang T, Ma R, Wang J, Pan X, Dong H, Xu G. Vaccination coverage estimates and utilization patterns of inactivated enterovirus 71 vaccine post vaccine introduction in Ningbo, China. BMC Public Health 2021; 21:1118. [PMID: 34112128 PMCID: PMC8194148 DOI: 10.1186/s12889-021-11198-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 06/03/2021] [Indexed: 11/23/2022] Open
Abstract
Background In China, enterovirus 71 (EV71) is the major etiological agents of hand foot mouth disease that poses severe risks to children’s health. Since 2015, three inactivated EV71 vaccines have been approved for use. Previous studies indicated the high willingness of EV71 vaccination in eastern China. However, few studies have assessed coverage and utilization patterns of EV71 vaccine in China. Methods Children born during 2012–2018 were sampled and their records were abstracted from Ningbo childhood immunization information management system. Descriptive statistics characterized the study population and assessed coverage and timeliness for EV71 vaccination. Simultaneous administration patterns as well as type of EV71 vaccine used were also evaluated. Bivariate and multivariable analysis was used to examine the relationship of socio-demographic characteristics with vaccination coverage and timeliness. Results Of 716,178 children living in Ningbo. One hundred seventy-two thousand two hundred thirty-six received EV71 vaccine with a coverage rate of 24.05% and only 8.61% received vaccination timely. 21.97% of children received the complete two dose EV71 series but only 6.49% completed timely. Vaccination coverage and timeliness increased significantly from 2012 birth cohort to 2018 birth cohort. Relatively higher coverage and timeliness were observed in resident children, Inner districts, high socioeconomic areas and large-scaled immunization clinics. Of 329,569 doses of EV71 vaccine, only 5853(1.78%) doses were administered at the same day as other vaccines. Conclusions There is a need for increasing EV71 vaccination coverage and timeliness as well as eliminating disparities among different populations. Our study highlights the importance of simultaneous administration to increasing coverage and timeliness of EV71 vaccination.
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Affiliation(s)
- Lixia Ye
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Jieping Chen
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Ting Fang
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Rui Ma
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Jianmei Wang
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Xingqiang Pan
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Hongjun Dong
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China
| | - Guozhang Xu
- Ningbo Municipal Center for Disease Prevention and Control, Institute of Immunization and Prevention, Yongfeng Road, Haishu District, Ningbo, 315010, China.
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Sun J, Lyu X, Lyu S, Zhao R. The effect of social participation on income-related inequality in health outcome among Chinese older adults. Int Health 2021; 13:80-88. [PMID: 33443288 PMCID: PMC7807233 DOI: 10.1093/inthealth/ihaa023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 04/06/2020] [Accepted: 04/23/2020] [Indexed: 12/03/2022] Open
Abstract
Background This study aimed to investigate the effect of social participation on income-related inequality in health outcome among older adults in China. Methods The panel data used in this study were sourced from the 2011 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Furthermore, this study employed a concentration index to assess the income-related inequality in health outcome. Moreover, this study used the decomposition method of concentration index to analyse the effect of social participation on income-related inequality in health outcome. Results The total concentration index of Instrumental Activity of Daily Living (IADL) status decreased from 0.0257 in 2011 to 0.0172 in 2014. Furthermore, the total concentration index of psychological health decreased from 0.0309 in 2011 to 0.0269 in 2014. The decomposition analysis indicates that social participation made a major contribution to the pro-rich inequality in IADL status. Moreover, the results also indicate that social participation made a minor contribution to the pro-rich inequality in psychological health. Conclusions This study demonstrated that overall there were pro-rich inequalities in IADL status and psychological health among older adults in China. Moreover, social participation made a major contribution to the pro-rich inequality in IADL status, while it made a minor contribution to the pro-rich inequality in psychological health.
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Affiliation(s)
- Jian Sun
- School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyin Lyu
- High School Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Shoujun Lyu
- School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.,China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Zhao
- Affiliated Hospital of Hebei University, Baoding, Hebei, China
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Liu Y, Liu N, Cheng M, Peng X, Huang J, Ma J, Wang P. The changes in socioeconomic inequalities and inequities in health services utilization among patients with hypertension in Pearl River Delta of China, 2015 and 2019. BMC Public Health 2021; 21:903. [PMID: 33980187 PMCID: PMC8117279 DOI: 10.1186/s12889-021-10879-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 04/20/2021] [Indexed: 12/15/2022] Open
Abstract
Background Assessing inequities in health services utilization contributes to build effective strategies for health equity promotion. This study aimed to evaluate the socioeconomic inequalities and inequities in health services utilization among hypertensive patients and explore the changes between 2015 and 2019 in Pearl River Delta of China. Methods The cross-sectional surveys were conducted using the questionnaire. Eight hundred thirty and one thousand one hundred sixty-six hypertensive patients in 2015 and 2019 were interviewed, respectively. The concentration index (CI) and the horizontal inequity index (HI) were used to access the socioeconomic inequalities and horizontal inequities in outpatient and inpatient health services use. The contribution of influential factors to the overall inequalities was estimated via the concentration index decomposition. Oaxaca-type decomposition technique was utilized to measure the changes in socioeconomic inequalities between the observation periods. Results In 2015 and 2019, the CIs for outpatient and inpatient utilization decreased from 0.1498 to 0.1198, 0.1982 to 0.1648, respectively, and the HIs for outpatient and inpatient utilization decreased from 0.1478 to 0.1078, 0.1956 to 0.1390, respectively. Economic status contributed the maximum ratio of the socioeconomic inequalities in the use of outpatient service (81.05% in 2015, 112.89% in 2019) and inpatient service (82.46% in 2015, 114.68% in 2019) in these 2 years. Oaxaca decomposition revealed that educational level (78.30% in outpatient, 53.79% in inpatient) and time to the nearest health facilities (66.78% in outpatient, 31.06% in inpatient) made the main positive contributions to decline the inequalities. While the main factor pushing the equalities toward deterioration was economic status (− 46.11% in outpatient, −76.56% in inpatient). Conclusion There were certain declines in the socioeconomic inequalities and inequities in health services utilization by hypertensive patients in Pearl River Delta of China over time. The widening economic gap was the largest contribution to the observed inequalities. Interventions to protect the vulnerable group deserve further concern from policy makers. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10879-6.
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Affiliation(s)
- Yan Liu
- Institute of Chronic Disease Risks Assessment, Henan University, Jinming Campus, Kaifeng, Henan, China.,School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Nan Liu
- Institute of Chronic Disease Risks Assessment, Henan University, Jinming Campus, Kaifeng, Henan, China
| | - Mengjiao Cheng
- School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xin Peng
- School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Junxuan Huang
- School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jinxiang Ma
- School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China.
| | - Peixi Wang
- Institute of Chronic Disease Risks Assessment, Henan University, Jinming Campus, Kaifeng, Henan, China.
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Xu M, Gao X, Wu H, Ding M, Zhang C, Du S, Wang X, Feng X, Tai B, Hu D, Lin H, Wang B, Wang C, Zheng S, Liu X, Rong W, Wang W, Xu T, Si Y. Measuring and decomposing socioeconomic-related inequality in the use of oral health services among Chinese adults. Community Dent Oral Epidemiol 2020; 49:47-54. [PMID: 32959367 DOI: 10.1111/cdoe.12575] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/19/2020] [Accepted: 08/24/2020] [Indexed: 12/30/2022]
Abstract
OBJECTIVES This study aimed to measure socioeconomic-related inequality and horizontal inequity in the use of oral health services and decompose this inequality among adults of different age groups in China. METHODS In total, 10 973 adults (3669 aged 35-44 years, 3767 aged 55-64 years and 3537 aged 65-74 years) who participated in the 4th National Oral Health Survey (2015-2016) in China were included. Concentration curves and the Erreygers-corrected concentration index (EI) were employed to measure socioeconomic-related inequality in the use of oral health services. Then, inequity in this utilization was measured by the horizontal inequity index (HI). Furthermore, decomposition analyses were conducted for the three groups to explain the contributions of income level, need factors (ie self-assessed oral health and evaluated oral health status), other factors (ie sex, residential location, educational attainment level and type of basic insurance) and a residual term to overall inequality in oral health service utilization. RESULTS The significant positive EI and HI values indicated that pro-rich inequality and inequity in oral health service utilization exist among Chinese adults. Income and type of basic medical insurance contributed the most to socioeconomic-related inequality in the use of oral health services among adults aged 55-64 and 65-74 years. However, the main driving factors of socioeconomic inequality among adults aged 35-44 years in dental care use included income, educational achievement, type of basic medical insurance and residential location. The need variables accounted for a very small proportion of overall socioeconomic-related inequality in oral health service use in all three groups. CONCLUSIONS Oral healthcare service utilization was disproportionately concentrated among better-off Chinese adults. The primary determinants of inequality in dental care use in different age groups provide information for policymakers to create more targeted policies to achieve equity in the oral healthcare system in China.
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Affiliation(s)
- Mengru Xu
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xiaoli Gao
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Huijing Wu
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Min Ding
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Chunzi Zhang
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Shuo Du
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xing Wang
- Chinese Stomatological Association, Beijing, China
| | - Xiping Feng
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Baojun Tai
- School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Deyu Hu
- West China School of Stomatology, Sichuan University, Chengdu, China
| | - Huancai Lin
- Guanghua School of Stomatology, Hospital of Stomatology, Sun Yetsen University, Guangzhou, China
| | - Bo Wang
- Chinese Stomatological Association, Beijing, China
| | - Chunxiao Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuguo Zheng
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xuenan Liu
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Wensheng Rong
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Weijian Wang
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Tao Xu
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Yan Si
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
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What Are the Determinants of the Decision to Purchase Private Health Insurance in China? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155348. [PMID: 32722244 PMCID: PMC7432421 DOI: 10.3390/ijerph17155348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/17/2020] [Accepted: 07/22/2020] [Indexed: 11/16/2022]
Abstract
The objective of this study was to assess the determinants of the decision to purchase private health insurance (PHI) in China. Nationally representative data from the fourth wave of the China Household Finance Survey from 2017 were used, and the dataset comprised 105,691 individuals aged 18 years or older. The Andersen health services utilization model was used to inform the research. Chi-square tests and logistic regression analyses were used to estimate the decision to purchase PHI. The proportion of the sample that had PHI was small, at 5.06%, but coverage for social basic medical insurance (SBMI) was 90.64%. Among PHI holders, the overwhelming majority (87.40%) also had SBMI. Logistic regression analysis demonstrated that predisposing factors (age, education, marital status, household size), enabling factors (household income, SBMI status, geographical factors, household medical expense, and medical debt), and needs-based factors (health status) were statistically significant determinants of the decision to purchase PHI. This study suggests that the socio-economic circumstances of households play a crucial role in the decision to acquire PHI. The findings may be used by the insurance industry to inform actions to enhance PHI coverage and by policy decision-makers that seek to improve equality in access to PHI.
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