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Impact of the gate-keeping policies of China's primary healthcare model on the future burden of tuberculosis in China: a protocol for a mathematical modelling study.
You, Xinyi; Gu, Jing; Xu, Dong Roman; Huang, Shanshan; Xue, Hao; Hao, Chun; Ruan, Yunzhou; Sylvia, Sean; Liao, Jing; Cai, Yiyuan; Peng, Liping; Wang, Xiaohui; Li, Renzhong; Li, Jinghua; Hao, Yuantao.
  • You X; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Gu J; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Xu DR; Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Huang S; ACACIA Labs, Institute for Global Health and School of Health Management, Southern Medical University, Guangzhou, Guangdong, China.
  • Xue H; Centre for Tuberculosis Control of Guangdong Province, Guangzhou, Guangdong, China.
  • Hao C; Stanford Center on China's Economy and Institutions, Stanford University, Stanford, California, USA.
  • Ruan Y; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Sylvia S; Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Liao J; Department of Tuberculosis Resistance Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, China.
  • Cai Y; Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
  • Peng L; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Wang X; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Li R; Department of Epidemiology and Medical Statistics, School of Public Health, Guizhou Medical University, Guiyang, Guizhou, China.
  • Li J; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Hao Y; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
BMJ Open ; 11(8): e048449, 2021 08 25.
Article in English | MEDLINE | ID: covidwho-1373965
ABSTRACT

INTRODUCTION:

In the past three decades, China has made great strides in the prevention and treatment of tuberculosis (TB). However, the TB burden remains high. In 2019, China accounted for 8.4% of global incident cases of TB, the third highest in the world, with a higher prevalence in rural areas. The Healthy China 2030 highlights the gate-keeping role of primary healthcare (PHC). However, the impact of PHC reforms on the future TB burden is unclear. We propose to use mathematical models to project and evaluate the impacts of different gate-keeping policies. METHODS AND

ANALYSIS:

We will develop a deterministic, population-level, compartmental model to capture the dynamics of TB transmission within adult rural population. The model will incorporate seven main TB statuses, and each compartment will be subdivided by service providers. The parameters involving preference for healthcare seeking will be collected using discrete choice experiment (DCE) method. We will solve the deterministic model numerically over a 20-year (2021-2040) timeframe and predict the TB prevalence, incidence and cumulative new infections under the status quo or various policy scenarios. We will also conduct an analysis following standard protocols to calculate the average cost-effectiveness for each policy scenario relative to the status quo. A numerical calibration analysis against the available published TB prevalence data will be performed using a Bayesian approach. ETHICS AND DISSEMINATION Most of the data or parameters in the model will be obtained based on secondary data (eg, published literature and an open-access data set). The DCE survey has been reviewed and approved by the Ethics Committee of the School of Public Health, Sun Yat-sen University. The approval number is SYSU [2019]140. Results of the study will be disseminated through peer-reviewed journals, media and conference presentations.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Humans Country/Region as subject: Asia Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2020-048449

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Humans Country/Region as subject: Asia Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2020-048449