Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China
BackgroundThe World Health Organization has proposed an initiative to “end tuberculosis (TB).” Unfortunately, TB continues to endanger the health of people worldwide. We investigated the impact of public health services (PHS) in China on TB incidence. In this way, we provided policy ideas for preven...
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Frontiers Media S.A.
2022-03-01
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author | Yang Chen Yang Chen Yang Chen Qingyu Zhou Qingyu Zhou Qingyu Zhou Xinmei Yang Xinmei Yang Xinmei Yang Peiwu Shi Peiwu Shi Qunhong Shen Qunhong Shen Zhaoyang Zhang Zhaoyang Zhang Zheng Chen Zheng Chen Chuan Pu Chuan Pu Lingzhong Xu Lingzhong Xu Zhi Hu Zhi Hu Anning Ma Anning Ma Zhaohui Gong Zhaohui Gong Tianqiang Xu Tianqiang Xu Panshi Wang Panshi Wang Hua Wang Hua Wang Chao Hao Chao Hao Chengyue Li Chengyue Li Chengyue Li Mo Hao Mo Hao Mo Hao |
author_facet | Yang Chen Yang Chen Yang Chen Qingyu Zhou Qingyu Zhou Qingyu Zhou Xinmei Yang Xinmei Yang Xinmei Yang Peiwu Shi Peiwu Shi Qunhong Shen Qunhong Shen Zhaoyang Zhang Zhaoyang Zhang Zheng Chen Zheng Chen Chuan Pu Chuan Pu Lingzhong Xu Lingzhong Xu Zhi Hu Zhi Hu Anning Ma Anning Ma Zhaohui Gong Zhaohui Gong Tianqiang Xu Tianqiang Xu Panshi Wang Panshi Wang Hua Wang Hua Wang Chao Hao Chao Hao Chengyue Li Chengyue Li Chengyue Li Mo Hao Mo Hao Mo Hao |
author_sort | Yang Chen |
collection | DOAJ |
description | BackgroundThe World Health Organization has proposed an initiative to “end tuberculosis (TB).” Unfortunately, TB continues to endanger the health of people worldwide. We investigated the impact of public health services (PHS) in China on TB incidence. In this way, we provided policy ideas for preventing the TB epidemic.MethodsWe used the “New Public Management Theory” to develop two indicators to quantify policy documents: multisector participation (MP) and the Assessable Public Health Service Coverage Rate (ASCR). The panel data from 31 provinces in Chinese mainland were collected from 2005 to 2019 based on 1,129 policy documents and the China Statistical Yearbook. A fixed-effect model was used to determine the impact of MP and the ASCR on TB incidence.ResultsFrom 2005 to 2019, the average MP increased from 89.25 to 97.70%, and the average ASCR increased from 53.97 to 78.40% in Chinese mainland. However, the development of ASCR between regions was not balanced, and the average level in the western region was lower than that in the eastern coastal provinces. With an increase in MP and the ASCR, the TB incidence had been decreasing gradually in recent years. The panel analysis results showed that MP (β = −0.76, p < 0.05). and ASCR (β = −0.40, p < 0.01) had a negative effect on TB incidence, respectively. Even if the control variables were added, the negative effects of MP (β = −0.86, p < 0.05) and ASCR (β = −0.35, p < 0.01) were still statistically significant.ConclusionsPromoting the participation of multiple departments, as well as emphasizing the quality of PHS delivery, are important ways to alleviate the TB epidemic. The settings of evaluation indices for PHS provision should be strengthened in the future. |
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spelling | doaj.art-fd81210b63824c52a0353962daefd66a2022-12-21T20:03:13ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-03-011010.3389/fpubh.2022.826800826800Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in ChinaYang Chen0Yang Chen1Yang Chen2Qingyu Zhou3Qingyu Zhou4Qingyu Zhou5Xinmei Yang6Xinmei Yang7Xinmei Yang8Peiwu Shi9Peiwu Shi10Qunhong Shen11Qunhong Shen12Zhaoyang Zhang13Zhaoyang Zhang14Zheng Chen15Zheng Chen16Chuan Pu17Chuan Pu18Lingzhong Xu19Lingzhong Xu20Zhi Hu21Zhi Hu22Anning Ma23Anning Ma24Zhaohui Gong25Zhaohui Gong26Tianqiang Xu27Tianqiang Xu28Panshi Wang29Panshi Wang30Hua Wang31Hua Wang32Chao Hao33Chao Hao34Chengyue Li35Chengyue Li36Chengyue Li37Mo Hao38Mo Hao39Mo Hao40Research Institute of Health Development Strategies, Fudan University, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaDepartment of Health Policy and Management, School of Public Health, Fudan University, Shanghai, ChinaResearch Institute of Health Development Strategies, Fudan University, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaDepartment of Health Policy and Management, School of Public Health, Fudan University, Shanghai, ChinaResearch Institute of Health Development Strategies, Fudan University, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaDepartment of Health Policy and Management, School of Public Health, Fudan University, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaZhejiang Academy of Medical Sciences, Hangzhou, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaSchool of Public Policy and Management, Tsinghua University, Beijing, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaProject Supervision Center of National Health Commission of the People's Republic of China, Beijing, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaDepartment of Grassroots Public Health Management Group, Public Health Management Branch of Chinese Preventive Medicine Association, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaSchool of Public Health and Management, Chongqing Medical University, Chongqing, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaSchool of Public Health, Shandong University, Jinan, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China0School of Health Service Management, Anhui Medical University, Hefei, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China1School of Management, Weifang Medical University, Weifang, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China2Committee on Medicine and Health of Central Committee of China Zhi Gong Party, Beijing, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China3Institute of Inspection and Supervision, Shanghai Municipal Health Commission, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China4Shanghai Municipal Health Commission, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China5Jiangsu Preventive Medicine Association, Nanjing, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China6Changzhou Center for Disease Control and Prevention, Changzhou, ChinaResearch Institute of Health Development Strategies, Fudan University, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaDepartment of Health Policy and Management, School of Public Health, Fudan University, Shanghai, ChinaResearch Institute of Health Development Strategies, Fudan University, Shanghai, ChinaCollaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, ChinaDepartment of Health Policy and Management, School of Public Health, Fudan University, Shanghai, ChinaBackgroundThe World Health Organization has proposed an initiative to “end tuberculosis (TB).” Unfortunately, TB continues to endanger the health of people worldwide. We investigated the impact of public health services (PHS) in China on TB incidence. In this way, we provided policy ideas for preventing the TB epidemic.MethodsWe used the “New Public Management Theory” to develop two indicators to quantify policy documents: multisector participation (MP) and the Assessable Public Health Service Coverage Rate (ASCR). The panel data from 31 provinces in Chinese mainland were collected from 2005 to 2019 based on 1,129 policy documents and the China Statistical Yearbook. A fixed-effect model was used to determine the impact of MP and the ASCR on TB incidence.ResultsFrom 2005 to 2019, the average MP increased from 89.25 to 97.70%, and the average ASCR increased from 53.97 to 78.40% in Chinese mainland. However, the development of ASCR between regions was not balanced, and the average level in the western region was lower than that in the eastern coastal provinces. With an increase in MP and the ASCR, the TB incidence had been decreasing gradually in recent years. The panel analysis results showed that MP (β = −0.76, p < 0.05). and ASCR (β = −0.40, p < 0.01) had a negative effect on TB incidence, respectively. Even if the control variables were added, the negative effects of MP (β = −0.86, p < 0.05) and ASCR (β = −0.35, p < 0.01) were still statistically significant.ConclusionsPromoting the participation of multiple departments, as well as emphasizing the quality of PHS delivery, are important ways to alleviate the TB epidemic. The settings of evaluation indices for PHS provision should be strengthened in the future.https://www.frontiersin.org/articles/10.3389/fpubh.2022.826800/fulltuberculosis incidencepublic health servicesmultisector participationservices assessmentChina |
spellingShingle | Yang Chen Yang Chen Yang Chen Qingyu Zhou Qingyu Zhou Qingyu Zhou Xinmei Yang Xinmei Yang Xinmei Yang Peiwu Shi Peiwu Shi Qunhong Shen Qunhong Shen Zhaoyang Zhang Zhaoyang Zhang Zheng Chen Zheng Chen Chuan Pu Chuan Pu Lingzhong Xu Lingzhong Xu Zhi Hu Zhi Hu Anning Ma Anning Ma Zhaohui Gong Zhaohui Gong Tianqiang Xu Tianqiang Xu Panshi Wang Panshi Wang Hua Wang Hua Wang Chao Hao Chao Hao Chengyue Li Chengyue Li Chengyue Li Mo Hao Mo Hao Mo Hao Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China Frontiers in Public Health tuberculosis incidence public health services multisector participation services assessment China |
title | Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China |
title_full | Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China |
title_fullStr | Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China |
title_full_unstemmed | Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China |
title_short | Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China |
title_sort | influence of public health services on the goal of ending tuberculosis evidence from panel data in china |
topic | tuberculosis incidence public health services multisector participation services assessment China |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.826800/full |
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