Tackling brain drain at Chinese CDCs: understanding job preferences of public health doctoral students using a discrete choice experiment survey

Human Resources for Health - Tập 20 Số 1
Shimeng Liu1, Yuanyuan Gu2, Yi Yang1, Liz Schroeder2, Yingyao Chen3
1School of Public Health, Fudan University, 130 Dongan Rd, Xuhui, Shanghai, 200032, China
2Centre for the Health Economy, Macquarie University, Macquarie Park, NSW, 2109, Australia
3NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China

Tóm tắt

Abstract Background

Given the demands for public health and infectious disease management skills during COVID-19, a shortage of the public health workforce, particularly with skills and competencies in epidemiology and biostatistics, has emerged at the Centers for Disease Controls (CDCs) in China. This study aims to investigate the employment preferences of doctoral students majoring in epidemiology and biostatistics, to inform policy-makers and future employers to address recruitment and retention requirements at CDCs across China.

Methods

A convenience sampling approach for recruitment, and an online discrete choice experiment (DCE) survey instrument to elicit future employee profiles, and self-report of their employment and aspirational preferences during October 20 and November 12, 2020. Attributes included monthly income, employment location, housing benefits, children’s education opportunities, working environment, career promotion speed and bianzhi (formally established post).

Results

A total of 106 doctoral epidemiology and biostatistics students from 28 universities completed the online survey. Monthly income, employment location and bianzhi was of highest concern in the seven attributes measured, though all attributes were statistically significant and presented in the expected direction, demonstrating preference heterogeneity. Work environment was of least concern. For the subgroup analysis, employment located in a first-tier city was more likely to lead to a higher utility value for PhD students who were women, married, from an urban area and had a high annual family income. Unsurprisingly, when compared to single students, married students were willing to forgo more for good educational opportunities for their children. The simulation results suggest that, given our base case, increasing only monthly income from 10,000 ($ 1449.1) to 25,000 CNY ($ 3622.7) the probability of choosing the job in the third-tier city would increase from 18.1 to 53.8% (i.e., the location choice is changed).

Conclusion

Monthly income and employment location were the preferred attributes across the cohort, with other attributes then clearly ranked and delineated. A wider use of DCEs could inform both recruitment and retention of a public health workforce, especially for CDCs in third-tier cities where resource constraints preclude all the strategies discussed here.

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Tài liệu tham khảo

Narayan KMV, Curran JW, Foege WH. The COVID-19 pandemic as an opportunity to ensure a more successful future for science and public health. JAMA. 2021;325(6):525–6.

The conference on prevention and control of SARS was held in Beijing, China. http://www.gov.cn/test/2005-06/28/content_10715.htm. Accessed March 12, 2021.

Ministry of Health of the People’s Republic of China. Provision on the development of Disease Control and Prevention System (No. 40 Ministerial Decree of MOH). http://www.gov.cn/gongbao/content/2005/content_75219.htm. Accessed March 12, 2021.

Mao C, Wang L, Li LM. Historical perspective of progress and achievement on epidemiology in the past 70 years in China. Chin J Epidemiol. 2019;40(10):1173–9 (In Chinese).

Li YQ, Chen H, Guo HY. Examining inequality in the public health workforce distribution in the centers for disease control and prevention (CDCs) system in China, 2008–2017. Biomed Environ Sci. 2020;33(5):374–83.

How to improve public health personnel training. China education daily. 25 March, 2020. 4th edition. (In Chinese)

Li H, Zheng F, Zhang J, Guo Z, Yang H, Ren C, Zhang W, Wu S. Using employment data from a medical university to examine the current occupation situation of master’s graduates in public health and preventive medicine in China. Front Public Health. 2020;8: 508109.

Mao L, Ge H, He N. Analysis on the where about of master and doctorate graduates of public health and preventive medicine at Fudan University. China Higher Med Educ. 2016;6:119–20 (In Chinese).

National Health Commission of the People’s Republic of China. Statistical bulletin of health development in China (2009–2018). http://www.nhc.gov.cn/wjw/gongb/list.shtml. Accessed March 12, 2021.

de Bekker-Grob EW, Ryan M, Gerard K. Discrete choice experiments in health economics: a review of the literature. Health Econ. 2012;21(2):145–72.

Hu WX, Xu WH, Xu JG, Bai LL, Wang LD. Bibliometric analysis of research on discrete choice experiment in the healthcare system of China. J Nanjing Med Univ (Social Sciences). 2020;20(02):157–61 (In Chinese).

Soekhai V, de Bekker-Grob EW, Ellis AR, Vass CM. Discrete choice experiments in health economics: past, present and future. Pharmacoeconomics. 2019;37(2):201–26.

Mandeville KL, Lagarde M, Hanson K. The use of discrete choice experiments to inform health workforce policy: a systematic review. BMC Health Serv Res. 2014;14:367.

Hou J, Wang Z, Liu X, Luo Y, Sabharwal S, Wang N, Meng Q. Public health education at China’s higher education institutions: a time-series analysis from 1998 to 2012. BMC Public Health. 2018;18(1):679.

Zhang XY. Discussion on China’s Public Health Education Policy in the Context of COVID-19. Med Educ Res Pract. 2020;28(02):181–4 (In Chinese).

Orme BK. Getting started with conjoint analysis: strategies for product design and pricing research. 3rd ed. Madison: Research Publishers LLC; 2014. p. 1–234.

de Bekker-Grob EW, Donkers B, Jonker MF, Stolk EA. Sample size requirements for discrete-choice experiments in healthcare: a practical guide. Patient. 2015;8(5):373–84.

Lancaster KJ. A new approach to consumer theory. J Polit Econ. 1966;74(2):132–57.

McFadden D. Conditional logit analysis of qualitative choice behavior. In: Zarembka P, editor. Frontiers in econometrics. New York: Academic Press; 1974. p. 105–42.

Bridges JF, Hauber AB, Marshall D, Lloyd A, Prosser LA, Regier DA, Johnson FR, Mauskopf J. Conjoint analysis applications in health—a checklist: a report of the ISPOR good research practices for conjoint analysis task force. Value Health. 2011;14(4):403–13.

Louviere JJ, Lancsar E. Choice experiments in health: the good, the bad, the ugly and toward a brighter future. Health Econ Policy Law. 2009;4(Pt 4):527–46.

Liu S, Li S, Li Y, Wang H, Zhao J, Chen G. Job preferences for healthcare administration students in China: a discrete choice experiment. PLoS ONE. 2019;14(1): e0211345.

Araujoa EC, Maeda A. How to recruit and retain health workers in rural and remote areas in developing countries: a guidance note. World Bank: 2013.

Brodsgaard KE. Institutional reform and the Bianzhi system in China. China Q. 2002;170:361–86.

Zhang Y, Steege LM, Pavek KU, Brown RL, Zhang Y. Identifying patterns of occupational stress trajectories among newly graduated nurses: a longitudinal study. Int J Nurs Stud. 2019;99: 103332.

Reed Johnson F, Lancsar E, Marshall D, Kilambi V, Mühlbacher A, Regier DA, Bresnahan BW, Kanninen B, Bridges JF. Constructing experimental designs for discrete-choice experiments: report of the ISPOR conjoint analysis experimental design good research practices task force. Value Health. 2013;16(1):3–13.

Huber J, Zwerina K. The importance of utility balance in efficient choice designs. J Mark Res. 1996;33:307–17.

McFadden D, Train K. Mixed MNL models for discrete response. J Appl Econ. 2000;15(5):447–70.

Revelt D, Train K. Mixed logit with repeated choices. Rev Econ Stat. 1998;80(4):647–57.

Layton D, Brown G. Heterogeneous preferences regarding global climate change. Rev Econ Stat. 2000;82(2):616–24.

Jia E, Gu Y, Peng Y, Li X, Shen X, Jiang M, Xiong J. Preferences of patients with non-communicable diseases for primary healthcare facilities: a discrete choice experiment in Wuhan, China. Int J Environ Res Public Health. 2020;17(11):3987.

Lancsar E, Louviere J, Flynn T. Several methods to investigate relative attribute impact in stated preference experiments. Soc Sci Med. 2007;64(8):1738–53.

Liang BW, Zhan YW, Feng AP, Gao YX, Li PY, Shu YL, Zhou HC. A survey on the willingness of college students majoring in public health to work in their majors. Chin J Epidemiol. 2021;42(3):562–8 (In Chinese).

Lancsar E, Louviere J. Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences? Health Econ. 2006;15(8):797–811.

Cheng JQ. Thoughts and suggestions on modern construction of disease prevention and control system. Chin J Prev Med. 2020;54(5):475–9 (In Chinese).

Holte JH, Kjaer T, Abelsen B, Olsen JA. The impact of pecuniary and non-pecuniary incentives for attracting young doctors to rural general practice. Soc Sci Med. 2015;128:1–9.

Blaauw D, Erasmus E, Pagaiya N, Tangcharoensathein V, Mullei K, Mudhune S, Goodman C, English M, Lagarde M. Policy interventions that attract nurses to rural areas: a multicountry discrete choice experiment. Bull World Health Organ. 2010;88(5):350–6.

Scanlan GM, Cleland J, Johnston P, Walker K, Krucien N, Skåtun D. What factors are critical to attracting NHS foundation doctors into specialty or core training? A discrete choice experiment. BMJ Open. 2018;8(3): e019911.

Girardi SN, Carvalho CL, Maas LW, Araujo JF, Massote AW, Stralen ACSV, Souza OA. Preferences for work in primary care among medical students in Minas Gerais State, Brazil: evidence from a discrete choice experiment. Cad Saude Publica. 2017;33(8): e00075316.

Liu T, Li S, Yang R, Liu S, Chen G. Job preferences of undergraduate nursing students in eastern China: a discrete choice experiment. Hum Resour Health. 2019;17(1):1.

Rockers PC, Jaskiewicz W, Kruk ME, Phathammavong O, Vangkonevilay P, Paphassarang C, Phachanh IT, Wurts L, Tulenko K. Differences in preferences for rural job postings between nursing students and practicing nurses: evidence from a discrete choice experiment in Lao People’s Democratic Republic. Hum Resour Health. 2013;11:22.

Lin M. Pressure and anxiety of young people in contemporary China. People’s Tribune. 2019;33:78–80 (In Chinese).

Lehmann U, Dieleman M, Martineau T. Staffing remote rural areas in middle- and low-income countries: a literature review of attraction and retention. BMC Health Serv Res. 2008;8:19.

Abdel-All M, Angell B, Jan S, Howell M, Howard K, Abimbola S, Joshi R. What do community health workers want? Findings of a discrete choice experiment among Accredited Social Health Activists (ASHAs) in India. BMJ Glob Health. 2019;4(3): e001509.

Li N, Wang Y, Yu E, Xiao S, Liu Y. Job satisfaction of staff in agencies for disease prevention and control in Hainan Province, China. J Pak Med Assoc. 2020;70(3):523–5.

Gautam B, Sapkota VP, Wagle RR. Employment preferences of obstetricians and gynecologists to work in the district hospitals: evidence from a discrete choice experiment in Nepal. Hum Resour Health. 2019;17(1):96.

The Editorial Department of Science and Technology Review. An analysis of career expectations for PhD Graduates. Sci Technol Rev. 2008;12:19–22 (In Chinese).

Ubach C, Scott A, French F, Awramenko M, Needham G. What do hospital consultants value about their jobs? A discrete choice experiment. BMJ. 2003;326(7404):1432.