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Zhai X, Zhou Z, Lai S, Wang J, Zhao Y, Liu G, Wang Z, Fan H, Zhuang Y, Zhao D, Cao D, Coyte PC. Decomposing disparities in the utilization of basic public health services between locals and internal migrants in China: the role of social determinants. Int J Equity Health 2025; 24:9. [PMID: 39794815 PMCID: PMC11724435 DOI: 10.1186/s12939-024-02371-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 12/25/2024] [Indexed: 01/13/2025] Open
Abstract
BACKGROUND Internal migrants in China have long been at a disadvantage in terms of access to publicly financed services, as well as the utilization of public health services. The aim of the study was to examine inequities in the use of basic public health services between internal migrants and the local population and estimate the factors that contributed to inequity in use. METHODS The data for this study was derived from the 2017 wave of the China Migrants Dynamic Survey. Basic public health services utilization was measured by the establishment of health records, health education and chronic disease management. We performed multivariable logistic regressions to examine inequities in the utilization of basic public health services between locals and internal migrants, and Oaxaca-Blinder decomposition was used to explore possible explanations for such inequities between the two groups. RESULTS A total of 27,998 cases were included in the analysis. We found that the utilization rates for establishment of health records, health education and chronic disease management among internal migrants were 71.3%, 49.2% and 65.7% lower than their local counterparts, respectively. The decomposition results indicated that the inequities in the establishment of health records between locals and internal migrants were mainly explained by whether people had heard of the National Basic Public Health Services Program (NBPHSP) (17.67%) and by health insurance (5.99%). The contributors to the inequities in health education between locals and internal migrants were community involvement (14.71%) and whether people had heard of the NBPHSP (13.89%). The main factors contributing to the difference in utilization of chronic disease management between the two groups were whether people had heard of the NBPHSP (14.49%) and community involvement (8.43%). CONCLUSIONS To reduce inequities in the utilization of basic public health services between locals and internal migrants, measures need to be taken to improve knowledge about the basic public health services and to help migrants integrate into the local community.
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Affiliation(s)
- Xiaohui Zhai
- School of Public Health, Health Science Center, Xi'an Jiaotong University, No. 76 West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Zhongliang Zhou
- School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.
| | - Sha Lai
- School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Jieyu Wang
- School of Geography and Planning, Sun Yat-Sen University, No. 132 Outer East Ring Road, Guangzhou, Guangdong, 510006, China
| | - Yaxin Zhao
- College of Humanities & Social Development, Northwest A&F University, No. 22 Xinong Road, Xianyang, Shaanxi, 712100, China
| | - Guanping Liu
- School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Zhichao Wang
- School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Hongbin Fan
- School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China
| | - Yan Zhuang
- School of Public Health, Health Science Center, Xi'an Jiaotong University, No. 76 West Yanta Road, Xi'an, Shaanxi, 710061, China
| | - Dantong Zhao
- School of Humanities, Chang'an University, Xi'an, Shaanxi, 710064, China
| | - Dan Cao
- School of Public Administration, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Xi'an, Shaanxi, 710055, China
| | - Peter C Coyte
- Institute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, 582-155 College Street, Toronto, ON, M5T 3M7, Canada
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Lv JM, Chen N, He XN, Tian YF, Zhang J, Fan QR, Ma Q, Li HX. Trends in under-five mortality rate in China, 1996-2020: a Joinpoint regression and correlation analysis. BMJ Open 2024; 14:e077461. [PMID: 39317511 PMCID: PMC11423744 DOI: 10.1136/bmjopen-2023-077461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/29/2024] [Indexed: 09/26/2024] Open
Abstract
OBJECTIVES To analyse annual trends of the under-five mortality rate (U5MR) and main cause-specific U5MR in China from 1996 to 2020 and to assess the potential correlation of the healthcare system and health expenditure with the U5MR in China. DESIGN A retrospective observational study using national data from 1996 to 2020. Joinpoint regression was employed to model U5MR trends and Pearson correlation analysis was conducted to examine the relationship between healthcare system factors, health expenditure and U5MR. SETTING Nationwide study covering both rural and urban populations across China over a 25-year period. RESULTS The U5MR in China experienced a three-stage decline from 1996 to 2020 with an average annual percentage rate change (AAPC) of -7.27 (p<0.001). The AAPC of the rural U5MR (-7.07, p<0.001) was higher than that in urban areas (-5.57, p<0.001). Among the five main causes, the decrease in pneumonia-caused U5MR was the fastest while the decreases in congenital heart disease and accidental asphyxia were relatively slow. The rates of hospital delivery (r=-0.981, p<0.001), neonatal visits (r=-0.848, p<0.001) and systematic health management (r=-0.893, p<0.001) correlated negatively with U5MR. The proportion of government health expenditure in the total health expenditure (THE) correlated negatively with the national U5MR (r=-0.892, p<0.001) while the proportion of out-of-pocket health expenditure in THE correlated positively (r=0.902, p<0.001). CONCLUSION China made significant advances in reducing U5MR from 1996 to 2020. The rural-urban gap in U5MR has narrowed, though rural areas remain a key concern. To further reduce U5MR, China should focus on rural areas, pay more attention to congenital heart disease and accidental asphyxia, further improve its health policies, and continue to increase the government health expenditure.
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Affiliation(s)
- Jian-Min Lv
- Shaanxi Provincial Rehabilitation Hospital, Xi’an, China
| | - Nan Chen
- Shaanxi Provincial Rehabilitation Hospital, Xi’an, China
| | - Xi-Ning He
- Shaanxi Provincial Rehabilitation Hospital, Xi’an, China
| | - Ya-Feng Tian
- Shaanxi Provincial Rehabilitation Hospital, Xi’an, China
| | - Jie Zhang
- Shaanxi Provincial Rehabilitation Hospital, Xi’an, China
| | - Qiao-Rong Fan
- Baoji Maternal and Child Health Hospital, Baoji, China
| | - Qiong Ma
- Northwest Women and Children's Hospital, Xi’an, China
| | - Hong-Xia Li
- Shaanxi Provincial Rehabilitation Hospital, Xi’an, China
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Wang XY, Zhang BB, Cao YY, Xue Q, Ye Q, Li YS, Wang SY, Ma YW, Sun YQ, Zhang JH. Trends in maternal and child health in China and its urban and rural areas from 1991 to 2020: a joinpoint regression model. Sci Rep 2024; 14:13480. [PMID: 38866837 PMCID: PMC11169526 DOI: 10.1038/s41598-024-63689-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 05/31/2024] [Indexed: 06/14/2024] Open
Abstract
The long-term trends in maternal and child health (MCH) in China and the national-level factors that may be associated with these changes have been poorly explored. This study aimed to assess trends in MCH indicators nationally and separately in urban and rural areas and the impact of public policies over a 30‒year period. An ecological study was conducted using data on neonatal mortality rate (NMR), infant mortality rate (IMR), under-five mortality rate (U5MR), and maternal mortality ratio (MMR) nationally and separately in urban and rural areas in China from 1991 to 2020. Joinpoint regression models were used to estimate the annual percentage changes (APC), average annual percentage changes (AAPC) with 95% confidence intervals (CIs), and mortality differences between urban and rural areas. From 1991 to 2020, maternal and child mortalities in China gradually declined (national AAPC [95% CI]: NMRs - 7.7% [- 8.6%, - 6.8%], IMRs - 7.5% [- 8.4%, - 6.6%], U5MRs - 7.5% [- 8.5%, - 6.5%], MMRs - 5.0% [- 5.7%, - 4.4%]). However, the rate of decline nationally in child mortality slowed after 2005, and in maternal mortality after 2013. For all indicators, the decline in mortality was greater in rural areas than in urban areas. The AAPCs in rate differences between rural and urban areas were - 8.5% for NMRs, - 8.6% for IMRs, - 7.7% for U5MRs, and - 9.6% for MMRs. The AAPCs in rate ratios (rural vs. urban) were - 1.2 for NMRs, - 2.1 for IMRs, - 1.7 for U5MRs, and - 1.9 for MMRs. After 2010, urban‒rural disparity in MMR did not diminish and in NMR, IMR, and U5MR, it gradually narrowed but persisted. MCH indicators have declined at the national level as well as separately in urban and rural areas but may have reached a plateau. Urban‒rural disparities in MCH indicators have narrowed but still exist. Regular analyses of temporal trends in MCH are necessary to assess the effectiveness of measures for timely adjustments.
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Affiliation(s)
- Xin-Yue Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Bei-Bei Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Yuan-Yi Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Qian Xue
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Qin Ye
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Yuan-Sheng Li
- School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China
| | - Shu-Yuan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Yuan-Wei Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Yan-Que Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China
| | - Jun-Hui Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Southwest Medical University, No.1, Section 1, Xianglin Road, Longmatan District, Luzhou, Sichuan, People's Republic of China.
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Liu R, Zhao Q, Dong W, Guo D, Shen Z, Li Y, Zhang W, Zhu D, Zhang J, Bai J, Ren R, Zhen M, Zhang J, Cui J, Li X, Miao Y. Assessing public health service capability of primary healthcare personnel: a large-scale survey in Henan Province, China. BMC Health Serv Res 2024; 24:627. [PMID: 38745226 PMCID: PMC11094852 DOI: 10.1186/s12913-024-11070-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND The public health service capability of primary healthcare personnel directly affects the utilization and delivery of health services, and is influenced by various factors. This study aimed to examine the status, factors, and urban-rural differences of public health service capability among primary healthcare personnel, and provided suggestions for improvement. METHODS We used cluster sampling to survey 11,925 primary healthcare personnel in 18 regions of Henan Province from 20th to March 31, 2023. Data encompassing demographics and public health service capabilities, including health lifestyle guidance, chronic disease management, health management of special populations, and vaccination services. Multivariable regression analysis was employed to investigate influencing factors. Propensity Score Matching (PSM) quantified urban-rural differences. RESULTS The total score of public health service capability was 80.17 points. Chronic disease management capability scored the lowest, only 19.60. Gender, education level, average monthly salary, professional title, health status, employment form, work unit type, category of practicing (assistant) physician significantly influenced the public health service capability (all P < 0.05). PSM analysis revealed rural primary healthcare personnel had higher public health service capability scores than urban ones. CONCLUSIONS The public health service capability of primary healthcare personnel in Henan Province was relatively high, but chronic disease management required improvement. Additionally, implementing effective training methods for different subgroups, and improving the service capability of primary medical and health institutions were positive measures.
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Affiliation(s)
- Rongmei Liu
- Henan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qiuping Zhao
- Henan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wenyong Dong
- Department of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan, China
| | - Dan Guo
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
- Department of Neurology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan, China
| | - Zhanlei Shen
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Yi Li
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Wanliang Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Dongfang Zhu
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Jingbao Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Junwen Bai
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Ruizhe Ren
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Mingyue Zhen
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Jiajia Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Jinxin Cui
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Xinran Li
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China
| | - Yudong Miao
- Department of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
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Hong S, Jiang N, Lin G, Wang Q, Xu X, Shi X, Zhou Y, Wen X, Sun B, Wang H, Huang M, Wang J, Wang N, Chen Y, Jiang Q. Association of maternal mineral status with the risk of preterm birth: a retrospective cohort study. Front Nutr 2024; 11:1329720. [PMID: 38798772 PMCID: PMC11122899 DOI: 10.3389/fnut.2024.1329720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 04/22/2024] [Indexed: 05/29/2024] Open
Abstract
Background There has been a gradual increase in the proportion of preterm birth in China during the past several decades. Maternal malnutrition is a significant determinant for preterm birth. Nevertheless, comprehensive studies investigating serum mineral levels during pregnancy associated with preterm birth remain scarce. This study aims to assess the associations between maternal serum mineral levels and the risk of preterm birth. Methods This retrospective cohort study of 18,048 pregnant women used data from a tertiary hospital in China from January 2016 to December 2022. Demographic data and serum mineral concentrations in the second and third trimesters of mothers were collected from the hospital information system. Analysis was performed using restricted cubic splines and logistic regression models. Results The proportion of preterm birth in this study was 6.01%. Phosphorus [P for overall = 0.005; P for nonlinear = 0.490; OR (95%CI) = 1.11 (1.04, 1.18)] and chlorine [P for overall = 0.002; P for nonlinear = 0.058; OR (95%CI) = 1.11 (1.03, 1.19)] showed a significant positive correlation with preterm birth in a linear fashion. Furthermore, serum levels of potassium (P for nonlinear <0.001), sodium (P for nonlinear = 0.004), and magnesium (P for nonlinear <0.001) exhibited non-linear relationships with the risk of preterm birth. Conclusion Serum levels of some minerals during pregnancy were associated with the risk of preterm birth among pregnant women. In addition to commonly recognized micronutrients such as folic acid, iron, and vitamin D, healthcare providers should also pay attention to the levels of these minerals during pregnancy.
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Affiliation(s)
- Sumiao Hong
- Department of the Obstetrics, The People's Hospital of Pingyang, Wenzhou, China
| | - Nan Jiang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Guankai Lin
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Quqing Wang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Xiaoyang Xu
- Department of the Obstetrics, The People's Hospital of Pingyang, Wenzhou, China
| | - Xinrui Shi
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - You Zhou
- Department of the Obstetrics, The People's Hospital of Pingyang, Wenzhou, China
| | - Xiaoting Wen
- Department of the Obstetrics, The People's Hospital of Pingyang, Wenzhou, China
| | - Baochang Sun
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Hexing Wang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Min Huang
- Department of the Obstetrics, The People's Hospital of Pingyang, Wenzhou, China
| | - Jiwei Wang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
| | - Na Wang
- Department of the Obstetrics, The People's Hospital of Pingyang, Wenzhou, China
| | - Yue Chen
- Faculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Qingwu Jiang
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, China
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Zhang J, Li H, Wei B, He R, Zhu B, Zhang N, Mao Y. Association between maternal health service utilization and under-five mortality rate in China and its provinces, 1990-2017. BMC Pregnancy Childbirth 2024; 24:326. [PMID: 38671364 PMCID: PMC11055253 DOI: 10.1186/s12884-024-06437-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND The United Nations (UN) Sustainable Development Goal - 3.2 aims to eliminate all preventable under-five mortality rate (U5MR). In China, government have made efforts to provide maternal health services and reduce U5MR. Hence, we aimed to explore maternal health service utilization in relation to U5MR in China and its provinces in 1990-2017. METHODS We obtained data from Global Burden of Disease 2017, China Health Statistics Yearbook, China Statistical Yearbook, and Human Development Report China Special Edition. The trend of U5MR in each province of China from 1990 to 2017 was analyzed using Joinpoint Regression model. We measured the inequities in maternal health services using HEAT Plus, a health inequity measurement tool developed by the UN. The generalized estimating equation model was used to explore the association between maternal health service utilization (including prenatal screening, hospital delivery and postpartum visits) and U5MR. RESULTS First, in China, the U5MR per 1000 live births decreased from 50 in 1990 to 12 in 2017 and the average annual percentage change (AAPC) was - 5.2 (p < 0.05). Secondly, China had a high maternal health service utilization in 2017, with 96.5% for prenatal visits, 99.9% for hospital delivery, and 94% for postnatal visits. Inequity in maternal health services between provinces is declining, with hospital delivery rate showing the greatest decrease (SII, 14.01 to 1.87, 2010 to 2017). Third, an increase in the rate of hospital delivery rate can significantly reduce U5MR (OR 0.991, 95%CI 0.987 to 0.995). Postpartum visits rate with a one-year lag can reduce U5MR (OR 0.993, 95%CI 0.987 to 0.999). However, prenatal screening rate did not have a significant effect on U5MR. CONCLUSION The decline in U5MR in China was associated with hospital delivery and postpartum visits. The design and implementation of maternal health services may provide references to other low-income and middle-income countries.
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Affiliation(s)
- Jingya Zhang
- School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi , 710049, China
| | - Haoran Li
- School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi , 710049, China
| | - Bincai Wei
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Rongxin He
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China
| | - Bin Zhu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Ning Zhang
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China.
| | - Ying Mao
- School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi , 710049, China.
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Zhang M, Qu H, Xia J, Hui X, Shi C, Xu F, He J, Cao Y, Hu M. Trends, influencing factors and prediction analysis of under-five and maternal mortality rates in China from 1991 to 2020. Front Public Health 2023; 11:1198356. [PMID: 37927855 PMCID: PMC10620530 DOI: 10.3389/fpubh.2023.1198356] [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: 04/01/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Introduction Under-five mortality rate (U5MR) and maternal mortality rate (MMR) are important indicators for evaluating the quality of perinatal health and child health services in a country or region, and are research priorities for promoting maternal and infant safety and maternal and child health. This paper aimed to analysis and predict the trends of U5MR and MMR in China, to explore the impact of social health services and economic factors on U5MR and MMR, and to provide a basis for relevant departments to formulate relevant policies and measures. Methods The JoinPoint regression model was established to conduct time trend analysis and describe the trend of neonatal mortality rate (NMR), infant mortality rate (IMR), U5MR and MMR in China from 1991 to 2020. The linear mixed effect model was used to assess the fixed effects of maternal health care services and socioeconomic factors on U5MR and MMR were explored, with year as a random effect to minimize the effect of collinearity. Auto regressive integrated moving average models (ARIMA) were built to predict U5MR and MMR from 2021 to 2025. Results The NMR, IMR, U5MR and MMR from 1991 to 2020 in China among national, urban and rural areas showed continuous downward trends. The NMR, IMR, U5MR and MMR were significantly negatively correlated with gross domestic product (GDP), the proportion of the total health expenditure (THE) to GDP, system management rate, prenatal care rate, post-natal visit rate and hospital delivery rate. The predicted values of national U5MR from 2021 to 2025 were 7.3 ‰, 7.2 ‰, 7.1 ‰, 7.1 ‰ and 7.2 ‰ and the predicted values of national MMR were 13.8/100000, 12.1/100000, 10.6/100000, 9.6/100000 and 8.3/100000. Conclusion China has made great achievements in reducing the U5MR and MMR. It is necessary for achieving the goals of Healthy China 2030 by promoting the equalization of basic public health services and further optimizing the allocation of government health resources. China's experience in reducing U5MR and MMR can be used as a reference for developing countries to realize the SDGs.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mengcai Hu
- Department of Health Care, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Zhao Y, Zou J, Chen Y, Zhou J, Dai W, Peng M, Li X, Jiang S. Changes of the acute myocardial infarction-related resident deaths in a transitioning region: a real-world study involving 3.17 million people. Front Public Health 2023; 11:1096348. [PMID: 37670829 PMCID: PMC10476525 DOI: 10.3389/fpubh.2023.1096348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 04/10/2023] [Indexed: 09/07/2023] Open
Abstract
Background The impact of acute myocardial infarction (AMI) on the life span of residents in a transitioning region has not been studied in depth. Therefore, we aimed to evaluate the changes in AMI-related resident deaths in a transitioning region in China. Methods A longitudinal, population-based study was performed to analyze the deaths with/of AMI in Pudong New Area (PNA), Shanghai from 2005 to 2021. The average annual percentage change (AAPC) of AMI in crude mortality rates (CMR), age-standardized mortality rates worldwide (ASMRW), and rates of years of life lost (YLLr) were calculated by the joinpoint regression. The impact of demographic and non-demographic factors on the mortality of residents who died with/of AMI was quantitatively analyzed by the decomposition method. Results In 7,353 residents who died with AMI, 91.74% (6,746) of them were died of AMI from 2005 to 2021. In this period, the CMR and ASMRW of residents died with/of AMI were 15.23/105 and 5.17/105 person-years, the AAPC of CMR was 0.01% (95% CI: -0.71,0.72, p = 0.989) and 0.06% (95% CI: -0.71,0.84, p = 0.868), and the ASMRW decreased by 2.83% (95% CI: -3.66,-2.00, p < 0.001) and 2.76% (95% CI: -3.56,-1.95, p < 0.001), respectively. The CMR of people died of AMI showed a downward trend (all p < 0.05) in people ≥60 years but an upward trend [AAPC = 2.47% (95% CI: 0.07,4.94, p = 0.045)] in people of 45-59 years. The change in CMR of people died with/of AMI caused by demographic factors was 28.70% (95% CI: 12.99,46.60, p = 0.001) and 28.07% (95% CI: 12.71,45.52, p = 0.001) per year, respectively. Conclusion Preventative strategies for AMI should be applied to enhance the health management of residents aged 45-59 years or with comorbidities in the transitioning region.
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Affiliation(s)
- Yajun Zhao
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zou
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yichen Chen
- Office of Scientific Research and Information Management, Centres for Disease Control and Prevention, Shanghai, China
- Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China
- School of Public Health, Fudan University, Shanghai, China
| | - Jing Zhou
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Dai
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Minghui Peng
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaopan Li
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
- Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China
| | - Sunfang Jiang
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
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9
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Zhang C, Lu J. Changes and Determinants of Maternal Health Services Utilization in Ethnic Minority Rural Areas in Central China, 1991-2015: An Ecological Systems Theory Perspective. Healthcare (Basel) 2023; 11:healthcare11101374. [PMID: 37239658 DOI: 10.3390/healthcare11101374] [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: 03/05/2023] [Revised: 04/13/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Universal maternal health coverage is a proven, effective strategy for maternal survival. This study aimed to describe the changes and determinants of maternal health service use between 1991 and 2015 in central China. METHODS The study was conducted in Enshi Prefecture. Women were eligible for inclusion if they were rural women who lived in villages, had live births during 1991-2015, could recall their maternal care histories, and had no communication problems. This retrospective study included 470 rural women in 9 villages and collected 770 records. The conceptual framework was designed based on the Society Ecosystem Theory. The determinants included micro-factors (individual characteristics), meso-factors (family factors, community factors, healthcare factors), and macro-factors (government-run maternal and child health programs, abbreviated as MCH programs). Multivariate logistic regressions were applied to analyze the determinants of maternal health service utilization. RESULTS The utilization of maternal healthcare has improved in Enshi. The hospital birth rate was 98.1% in 2009 and mostly 100% in subsequent years. The prenatal examination rate, the postpartum visit rate, and the continuum of maternal health service (CMHS) rate increased to 73.3%, 67.7%, and 53.4%, respectively, in 2009-2015. The utilization of maternal health services was affected by macro-factors, meso-factors, and micro-factors, with macro-factors being the most notable contributors. CONCLUSIONS Despite the remarkable improvements in antenatal care (ANC) use and hospital birth, gaps in postpartum visits remain. Promoting the integrated continuum of maternal and child healthcare in ethnic minority rural areas requires the joint efforts of the government, health and other sectors, communities, families, and individuals.
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Affiliation(s)
- Changli Zhang
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Jun Lu
- School of Public Health, Fudan University, Shanghai 200032, China
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Silva ABDS, De Melo Araújo AC, Cabral Silva APDS, Rodrigues Vilela MB, Do Bonfim CV. Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes. GEOSPATIAL HEALTH 2022; 17. [PMID: 35579240 DOI: 10.4081/gh.2022.1051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 03/09/2022] [Indexed: 06/15/2023]
Abstract
This is an ecological study analysing spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes using data from the mortality information system (SIM) and live birth information system (SINASC) based on the municipalities of Pernambuco State, Brazil. The total mortality rates over the first 24 hours and that due to preventable causes were calculated for each municipality for the decades of 2000 to 2009 and for 2010 to 2019 to enable a comparison of the spatial patterns with spatial scan statistic used to identify clusters. Over the first 24 hours of life, a total of 13,571 deaths were reported, out of which 10,476 (77.2%) were preventable. The total mortality rate over the first 24 hours of life decreased from 5.5 in the 2000- 2009 period to 3.7 per 1000 live births in the following decade: a reduction of 32.7%, while the mortality rate due to preventable causes decreased from 4.4 to 2.8 per 1000 live births, a reduction of 36.7%. In the first decade, spatial exploratory analysis found three mortality rate clusters encompassing 56 municipalities over the first 24 hours of life. With respect to preventable causes over the first 24 hours of life, two mortality rate clusters were identified encompassing 41 municipalities. Risk areas for mortality over the first 24 hours of life were detected through spatial scan statistic. This method, directed towards uncovering the geographical distribution of deaths of very premature infants, can act as a tool for identifying priority areas to guide healthcare interventions.
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Xu Y, Guo X, Pan Z, Zheng G, Li X, Qi T, Zhu X, Wang H, Ding W, Tian Z, Wang H, Yue H, Sun B. Perinatal Risks of Neonatal and Infant Mortalities in a Sub-provincial Region of China: A Livebirth Population-based Cohort Study. BMC Pregnancy Childbirth 2022; 22:338. [PMID: 35440021 PMCID: PMC9020038 DOI: 10.1186/s12884-022-04653-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 04/01/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Current vital statistics of birth population and neonatal outcome in China lacked information and definition of deaths at delivery and during hospitalization, especially for extreme preterm (EPT) birth. This study aims to delineate the prevalence of neonatal hospitalization, neonatal and infant mortality rates (NMR, IMR) and associated perinatal risks based on all livebirths in Huai'an, an evolving sub-provincial region in eastern China. METHODS This retrospective cohort study established a comprehensive database linking information of whole regional livebirths and neonatal hospitalization in 2015, including deaths at delivery and EPT livebirths. The primary outcomes were NMR and IMR stratified by gestational age (GA) and birthweight (BW) with 95% confidence intervals. Causes of the neonatal and infant deaths were categorized according to the International Statistical Classification of Diseases 10th version, and population attributable fractions of GA and BW strata were analyzed. Perinatal risks of infant mortalities in continuum periods were estimated by Cox regression models. RESULTS Among the whole livebirth population (59056), 7960 were hospitalized (prevalence 13.5%), with 168 (2.8‰) in-hospital deaths. The NMR was 3.6 (3.2, 4.1)‰ and IMR 4.9 (1.4, 4.5)‰, with additionally 35 (0.6‰) deaths at delivery. The major causes of infant deaths were perinatal conditions (2.6‰, mainly preterm-related), congenital anomalies (1.5‰), sudden unexpected death in infancy (0.6‰) and other causes (0.2‰). The deaths caused by preterm and low BW (LBW) accounted for 50% and 40% of NMR and IMR, with 20-30% contributed by EPT or extremely LBW, respectively. Multivariable Cox regression analysis revealed that peripartum factors and LBW strata had strong association with early- and late-neonatal deaths, whereas those of GA < 28 weeks were highly associated with postneonatal deaths. Congenital anomalies and neonatal hospitalization remained high death risks over the entire infancy, whereas maternal co-morbidities/complications were modestly associated with neonatal but not postneonatal infant mortality. CONCLUSIONS The NMR, IMR, major causes of deaths and associated perinatal risks in continuum periods of infancy, denote the status and quality improvement of the regional perinatal-neonatal care associated with socioeconomic development. The study concept, applicability and representativeness may be validated in other evolving regions or countries for genuine comparison and better maternal-infant healthcare.
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Affiliation(s)
- Yaling Xu
- The National Commission of Health Laboratory of Neonatal Diseases; National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China
| | - Xiaojing Guo
- The National Commission of Health Laboratory of Neonatal Diseases; National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China
| | - Zhaojun Pan
- Department of Neonatology, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Guofang Zheng
- Department of Neonatology, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Xiaoqiong Li
- Department of Obstetrics, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Tingting Qi
- Department of Obstetrics, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Xiaoqin Zhu
- Unit of Population Health Information, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Hui Wang
- Unit of Population Health Information, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Weijie Ding
- Unit of Population Health Information, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China
| | - Zhaofang Tian
- Department of Neonatology, The Affiliated Huai'an First People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China
| | - Haijun Wang
- Department of Neonatology, Lianshui County Hospital, Huai'an, Jiangsu, China
| | - Hongni Yue
- Department of Neonatology, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China.
- Unit of Population Health Information, Huai'an Women and Children's Hospital, Huai'an, Jiangsu, China.
| | - Bo Sun
- The National Commission of Health Laboratory of Neonatal Diseases; National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China.
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Huangfu H, Zhang Z, Yu Q, Zhou Q, Shi P, Shen Q, Zhang Z, Chen Z, Pu C, Xu L, Hu Z, Ma A, Gong Z, Xu T, Wang P, Wang H, Hao C, Li C, Hao M. Impact of new health care reform on enabling environment for children’s health in China: An interrupted time-series study. J Glob Health 2022; 12:11002. [PMID: 35356653 PMCID: PMC8932608 DOI: 10.7189/jogh.12.11002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background Creating an enabling environment (EE) can help foster the development and health of children. The Chinese government implemented a new health care reform (NHR) in 2009 in a move to promote an EE for health. The purpose of this study was to evaluate the impact of the NHR on EE for children’s health. Methods An interrupted time-series analysis was used to evaluate the changes in the EE before and after 2009 in China. This study analysed the EE through five quantitative indicators, including policy element coverage rate (PECR), service meeting with children’s needs rate (SMCNR), multisector participation rate (MPR), and accountability mechanism clarity rate (AMCR), based on the content analysis of available public policy documents (updated as of 2019) from 31 provinces in mainland China, and the number of health care personnel of maternity and child care centres per 10 000 population (HP per 10 000 population), based on the 2002–2019 China Health Statistical Yearbook and China Statistical Yearbook. Results The average values of PECR, SMCNR, and MPR increased rapidly to 90.96%, 82.46%, and 81.31%, respectively, in 2019, representing a higher value compared to the AMCR (7.38%). The NHR promoted the EE, in which HP per 10 000 population showed the fastest increase (β1 = 0.03, P < 0.01; β3 = 0.10, P < 0.01), followed by SMCNR (β1 = 0.94, P < 0.01; β3 = 1.83, P < 0.01), AMCR (β1 = 0.13, P < 0.01; β3 = 0.24, P = 0.14), MPR (β1 = 1.35, P < 0.01; β3 = 2.47, P < 0.01) and PECR (β1 = 1.43, P < 0.01; β3 = 1.47, P < 0.01). Conclusions The NHR has a positive impact on the EE, especially on the human resources and service provision for children. Efforts should be intensified to improve the clarity of the accountability mechanism of the health-related sectors.
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Affiliation(s)
- Huihui Huangfu
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Zhifan Zhang
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Qinwen Yu
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Qingyu Zhou
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Peiwu Shi
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Zhejiang Academy of Medical Sciences, Hangzhou, Zhejiang, China
| | - Qunhong Shen
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Public Policy and Management, Tsinghua University, Beijing, China
| | - Zhaoyang Zhang
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Project Supervision Center of National Health Commission of the People’s Republic of China, Beijing, China
| | - Zheng Chen
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Department of Grassroots Public Health Management Group, Public Health Management Branch of Chinese Preventive Medicine Association, Shanghai, China
| | - Chuan Pu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Lingzhong Xu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Public Health, Shandong University, Jinan, Shandong, China
| | - Zhi Hu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Health Service Management, Anhui Medical University, Hefei, Anhui, China
| | - Anning Ma
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Management, Weifang Medical University, Weifang, Shandong, China
| | - Zhaohui Gong
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Committee on Medicine and Health of Central Committee of China ZHI GONG PARTY, Beijing, China
| | - Tianqiang Xu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Institute of Inspection and Supervision, Shanghai Municipal Health Commission, Shanghai, China
| | - Panshi Wang
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Shanghai Municipal Health Commission, Shanghai, China
| | - Hua Wang
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Jiangsu Preventive Medicine Association, Nanjing, Jiangsu, China
| | - Chao Hao
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Changzhou Center for Disease Control and Prevention, Changzhou, Jiangsu, China
| | - Chengyue Li
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Mo Hao
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
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Hoyt-Austin AE, Kair LR, Larson IA, Stehel EK. Academy of Breastfeeding Medicine Clinical Protocol #2: Guidelines for Birth Hospitalization Discharge of Breastfeeding Dyads, Revised 2022. Breastfeed Med 2022; 17:197-206. [PMID: 35302875 PMCID: PMC9206473 DOI: 10.1089/bfm.2022.29203.aeh] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
A central goal of the Academy of Breastfeeding Medicine is the development of clinical protocols for managing common medical problems that may impact breastfeeding success. These protocols serve only as guidelines for the care of breastfeeding mothers and infants and do not delineate an exclusive course of treatment or serve as standards of medical care. Variations in treatment may be appropriate according to the needs of an individual patient. The Academy of Breastfeeding Medicine recognizes that not all lactating individuals identify as women. Using gender-inclusive language, however, is not possible in all languages and all countries and for all readers. The position of the Academy of Breastfeeding Medicine (https://doi.org/10.1089/bfm.2021.29188.abm) is to interpret clinical protocols within the framework of inclusivity of all breastfeeding, chestfeeding, and human milk-feeding individuals.
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Affiliation(s)
- Adrienne E Hoyt-Austin
- Department of Pediatrics, University of California Davis Medical Center, Sacramento, California, USA
| | - Laura R Kair
- Department of Pediatrics, University of California Davis Medical Center, Sacramento, California, USA
| | - Ilse A Larson
- Department of Pediatrics, University of California San Francisco, San Francisco, California, USA
| | - Elizabeth K Stehel
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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