中文

Faculty

Health Management and Policy Institute
Xiaojing Fan
Date: 2022-05-26   Source:Clicks:

Xiaojing Fan; Ph.D., Associate Professor

School of Public Policy and Administration, Xi’an Jiaotong University.

DOB: January 12th, 1988

Email: emirada@163.com, Tel: 86-15891725861

Address: 28 Xianning West Road, Xi'an Jiaotong University, China, 710049.

Research Interests: Health Policy and Health System.

Website: https://www.researchgate.net/profile/Xiaojing-Fan

Educational background

Sep. 2015 to December 2018: PhD candidate in Xi’an Jiaotong University, China

Sep. 2012 to Jul. 2015: Graduate student in Xi’an Jiaotong University, China

Sep. 2007 to Jul. 2012: Undergraduate student in Shaanxi University of Chinese Medicine, China

Research career

Sep. 2017 to Sep. 2018: Liverpool School of Tropical Medicine, UK

Jan. 2019 to Mar.2020: Postdoctoral in Xi’an Jiaotong University, China

Apr. 2020 to Jul.2021: Assistant Professor in Xi’an Jiaotong University, China

Aug. 2020 to Now: Associate Professor in Xi’an Jiaotong University, China

Brief personal description

Her research interests mainly focuses on Health Policy and Health System, Internet medicine and health, ageing and health. She has led a number of studies funded by the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and the Social Science Foundation of Shaanxi Province. She has published more than 30 papers in English and Chinese, including first/corresponding authorship in《International Journal for Equity in Health》,《BMC Public Health》,《Chinese Medical Journal》,《Developing World Bioethics》, etc., all of which have been accepted by SCI/SSCI; and several papers in core journals in China such as《Chinese Journal of Epidemiology》,《Journal of Maternal and Child Health》. She is a reviewer for BMC Public Health and BMC Health Services Research.

Teaching

《Health economic》/《Social Medicine》/《Postgraduate dissertation writing guide》

Representative Projects

(1) Principle investigator of “Shaanxi Province unified reservation platform data analysis mining”, sponsored by the Shaanxi Provincial Health and Health Information Centre, 2021-2023.

(2) Principle investigator of “Optimization mechanism and empirical study of online visits based on service chain theory”, sponsored by the National Nature Science Foundation, 2021-2023.

(3) Principle investigator of “Study on the optimization strategy of online consultation service mechanism under the background of COVID-19 pandemic”, sponsored by the Social Science Foundation of Shaanxi Province, 2020-2023.

Representative Publications

(1) Yang J,Fan X*, Gao J, Li D, Xu Y, Chen G. Cost effectiveness analysis of total laparoscopic hysterectomy versus total abdominal hysterectomy for uterine fibroids in Western China: a societal perspective. BMC Health Serv Res. 2022 Feb 24;22(1):252.

(2) Fan X, Zheng S, Li M, Li E, Li YY. Level and determinants of willingness to donate organs among the general public: A cross-sectional survey in China. Developing World Bioethics. 2022 Jan 15.

(3) Fan X, Zhou Z, Stewart M, Wang D, Lan X, Dang S, Yan H. Comparing the pelvis of Tibetan and Chinese Han women in rural areas of China: two population-based studies using coarsened exact matching. Journal of Obstetrics and Gynecology. 2021 Jun 24:1-7.

(4) Fan, X.,Su, M., Zhao, Y. et al. Trends in equity of inpatient health service utilization for the middle-aged and elderly in China: based on longitudinal data from 2011 to 2018. BMC Public Health 21, 1162 (2021).

(5) Fan, X.,Su, M., Si, Y. et al. The benefits of an integrated social medical insurance for health services utilization in rural China: evidence from the China health and retirement longitudinal study. Int J Equity Health 20, 126 (2021).

(6) Fan, X.; Su, M.; Zhao, Y.; Wang, D. Dissatisfaction with Local Medical Services for Middle-Aged and Elderly in China: What Is Relevant? Int. J. Environ. Res. Public Health 2021, 18, 3931.

(7) Fan, X.,Kumar, M.B., Zhou, Z. et al. Influence of China’s 2009 healthcare reform on the utilisation of continuum of care for maternal health services: evidence from two cross-sectional household surveys in Shaanxi Province. Int J Equity Health 19, 100 (2020).

(8) Fan X, Wang D, Hellman B, et al. Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study[J]. International Journal of Environmental Research and Public Health 2018, 15, 2538.

(9) Fan X, Xu Y, Stewart M, et al. Effect of China’s maternal health policy on improving rural hospital delivery: Evidence from two cross-sectional surveys [J]. Scientific Reports, 2018, 8.

(10)Fan X, Zhou Z, Dang S, et al. Exploring status and determinants of prenatal and postnatal visits in western China: in the background of the new health system reform [J]. BMC Public Health, 2017, 18(1):39.

(11)Fan X, Gao J, Kang Y, et al. Socioeconomic and Environmental Determinants to Preterm Birth in Tibetan Women: An Analysis Based on the Hierarchically Conceptual Frame [J]. Chinese Medical Journal, 2017, 130(19):2307.

(12)Fan X, Zhou Z, Dang S, et al. Status of prenatal and postnatal visits in western China in the background of the new Chinese health system reform: two cross-sectional surveys [J]. Lancet, 2017, 390:S66.

(13)Fan X, Xu Y, Dang S, et al. Study on rural women,s postnatal visits in western China: evidence from Shaanxi[J]. Maternal and Child health care of China. 2017, 32(19):4611-4615.

(14)Fan X, Wang WH, Liu RR, Dang SN, Kang YJ. Epidemiological features and risk factors of spontaneous abortion among rural Tibetan women at childbearing age. Chinese Journal of Epidemiology, 2014, Apr; 35(4):401-405. (Medline)

(15)Su M, Zhou Z, Si Y,Fan X. The Association Between Patient-Centered Communication and Primary Care Quality in Urban China: Evidence From a Standardized Patient Study. Front Public Health. 2022 Feb 4;9:779293.

(16)Liu H, Zhou Z, Fan X, et al. A mixed method study to examine the mental health problems of college students who had left-behind experiences [J]. Journal of Affective Disorders 292 (2021) 149–160.

(17)Liu, H.;Fan, X.; Luo, H.; Zhou, Z.; Shen, C.; Hu, N.; Zhai, X. Comparison of Depressive Symptoms and Its Influencing Factors among the Elderly in Urban and Rural Areas: Evidence from the China Health and Retirement Longitudinal Study (CHARLS). Int. J. Environ. Res. Public Health 2021, 18, 3886.

(18)Liu H, Zhou Z,Fan X, et al. The Influence of Left‐Behind Experience on College Students’ Mental Health: A Cross‐Sectional Comparative Study[J]. International Journal of Environmental Research and Public Health 2020, 17, 1511.

(19)Zhao Y , Zhou Z ,Fan X ,et al. Comparison of inequity in health-related quality of life among unemployed and employed individuals in China[J]. BMC Public Health, 2021, 21(1).

(20)Hales C, Jochems SP, Robinson R, Solórzano C, Carniel B, Pojar S, Reiné J, German EL, Nikolaou E, Mitsi E, Hyder-Wright AD, Hill H, Adler H, Connor V, Zaidi S, Lowe C,Fan X, Wang D, Gordon SB, Rylance J, Ferreira DM. Symptoms associated with influenza vaccination and experimental human pneumococcal colonisation of the nasopharynx[J]. Vaccine. 2020 Feb 4. pii: S0264-410X(20)30112-2.

(21)Yu YY, Cho WCS, Liu Q,Fan X, et al. Effect of public hospital managers’ risk and gain perception on their attitude towards physician dual practice: a cross-national study in 31 provinces of China. BMC Public Health (2020) 20:1099.

(22)Xu Y, Garrib A, Zhou Z, Gao J, Yang X,Fan X, Chen G. New Health Care Reform and impoverishment among chronic households in China: A random-intercept approach[J]. Int. J. Environ. Res. Public Health. 2019,6(16): 10.3390/ijerph16061074.

(23)Yongjian Xu, Jie Ma*, Na Wu,Xiaojing Fan, Tao Zhang, Zhongliang Zhou, Jianmin Gao*, Jianping Ren, Gang Chen. Catastrophic health expenditure in households with chronic disease patients: A pre-post comparison of the New Health Care Reform in Shaaxi province, China. PLoS ONE. 2018, 13(3):e0194539.

(24)Wu Y, Dong W, Xu Y,Fan X, et al. Financial transfers from adult children and depressive symptoms among mid-aged and elderly residents in China - evidence from the China health and retirement longitudinal study[J]. BMC Public Health, 2018, 18:882.

(25)Su M, Zhou Z, Si Y, Wei Y, Xu Y,Fan X, et al. Comparing the effects of China's three basic health insurance schemes on the equity of health-related quality of life: using the method of coarsened exact matching[J]. Health & Quality of Life Outcomes, 2018, 16(1):41.

(26)Su M, Si Y, Zhou Z, Shen C, Dong W,Fan X, et al. Comparing the income-related inequity of tested prevalence and self-reported prevalence of hypertension in China[J]. International Journal for equity in health, 2018, 17:82.

(27)Wang WH, Liu F, Zhang Z, Zhang Y,Fan X, Liu RR, Dang SN. The Growth Pattern of Tibetan Infants at High Altitudes: a Cohort Study in Rural Tibet region[J]. Scientific Reports, 2016, 6:34506.

(28)Dang SN, Yan H, Zeng LX, Wang QL, Li Q, Xiao SB,Fan X. The status of vitamin B12 and folate among Chinese women: a population-based cross-sectional study in northwest China. PLOS ONE. 2014, 12; 9(11): e112586.

(29)Wang WH,Fan X, Liu RR, Dang SN. Growth pattern of Tibetan infants: one-year follow-up study after birth in rural Tibet. Chinese Journal of Epidemiology, 2014, Jan; 35(1):13-18.

(30)Wang WH,Fan X, Liu RR, Dang SN. Fertility rate and the prediction of future population size in Shaanxi province. Chinese Journal of Epidemiology, 2013, Jun; 34(6):601-3.

(31)Liu RR, Dang SN, Wang WH,Fan X, Yan H, Zhao YL. Study on the diet quality and its relative effect factors among rural residents,using the Chinese Diet Balalice Index (CDBI)in Hanzhong,Shaanxi province. Chinese Journal of Epidemiology, 2013, Mar; 34(3):225-30.

(32)Dang SN, Wang WH, Liu RR,Fan X, Ma Y, Zeng LX. Social determinants of general fertility rate of women of childbearing age during the period of low fertility in Shaanxi. Chinese Journal of Health Statistics. 2014, 31(3): 399-402.

Background on statistical analysis

(1) Systematic study and knowledge of medical statistics and clinical trial design, with rich fieldwork experience and data processing skills.

(2) Knowledge of mathematical and statistical analysis methods such as health service utilisation equity analysis, multilevel mixed effects model analysis, double difference method, etc.

(3) A globally accredited Advanced Statistical Analyst qualification (SAS 9.0) and proficiency in the use of the software STATA and SPSS.

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