Job preferences of master public health candidates in Northeast China based on discrete choice experiments.
Discrete choice experiments
Healthcare
Job preferences
Master candidate
Recruitment and retention
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
28 Oct 2024
28 Oct 2024
Historique:
received:
18
07
2024
accepted:
21
10
2024
medline:
29
10
2024
pubmed:
29
10
2024
entrez:
29
10
2024
Statut:
epublish
Résumé
The shortage of health workers in rural and remote areas is a key issue for global health systems, including China. Public health undertakings in Northeast China face the risk of a talent gap. In September 2023, the National Development and Reform Commission (NDRC) held a symposium on promoting the comprehensive revitalization of Northeast China in the New Era, proposing to support the comprehensive revitalization of Northeast China with high-quality population development, strengthen the development and utilization of human resources, and increase policy support for the revitalization of talent. The questionnaire was designed by discrete choice experiments, and 1208 Public Health Master's candidates from six universities in Northeast China were investigated online via the Powercx system network survey platform in April 2024. The mixed logit model was used to analyze the job preferences of Master Public Health candidates. All 7 attributes included in the study had statistically significant effects on the job preferences of public health master's degree candidates (P < 0.05). They tended to choose jobs with higher monthly income (12,000 CNY/month), located in cities with good working environments and with Bianzhi when seeking jobs. There is heterogeneity in job preference, and different preference characteristics are displayed in different subgroups. This study revealed that public health master's degree candidates in Northeast China were more willing to choose jobs with higher monthly incomes, working places in cities and better working environments. The way to formulate a combination of policy packages is more attractive than improving a single aspect alone. Since the preferences of each subgroup are different, the preference characteristics of the target population should also be considered when formulating the policy package to meet the challenges of talent attraction and retention.
Sections du résumé
BACKGROUND
BACKGROUND
The shortage of health workers in rural and remote areas is a key issue for global health systems, including China. Public health undertakings in Northeast China face the risk of a talent gap. In September 2023, the National Development and Reform Commission (NDRC) held a symposium on promoting the comprehensive revitalization of Northeast China in the New Era, proposing to support the comprehensive revitalization of Northeast China with high-quality population development, strengthen the development and utilization of human resources, and increase policy support for the revitalization of talent.
METHODS
METHODS
The questionnaire was designed by discrete choice experiments, and 1208 Public Health Master's candidates from six universities in Northeast China were investigated online via the Powercx system network survey platform in April 2024. The mixed logit model was used to analyze the job preferences of Master Public Health candidates.
RESULTS
RESULTS
All 7 attributes included in the study had statistically significant effects on the job preferences of public health master's degree candidates (P < 0.05). They tended to choose jobs with higher monthly income (12,000 CNY/month), located in cities with good working environments and with Bianzhi when seeking jobs. There is heterogeneity in job preference, and different preference characteristics are displayed in different subgroups.
CONCLUSION
CONCLUSIONS
This study revealed that public health master's degree candidates in Northeast China were more willing to choose jobs with higher monthly incomes, working places in cities and better working environments. The way to formulate a combination of policy packages is more attractive than improving a single aspect alone. Since the preferences of each subgroup are different, the preference characteristics of the target population should also be considered when formulating the policy package to meet the challenges of talent attraction and retention.
Identifiants
pubmed: 39468610
doi: 10.1186/s12913-024-11810-6
pii: 10.1186/s12913-024-11810-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1291Subventions
Organisme : the Natural Science Foundation of Heilongjiang Province, China
ID : LH2023G006
Organisme : the Natural Science Foundation of Heilongjiang Province, China
ID : LH2023G006
Organisme : the Natural Science Foundation of Heilongjiang Province, China
ID : LH2023G006
Organisme : the Natural Science Foundation of Heilongjiang Province, China
ID : LH2023G006
Organisme : the Natural Science Foundation of Heilongjiang Province, China
ID : LH2023G006
Organisme : the Natural Science Foundation of Heilongjiang Province, China
ID : LH2023G006
Organisme : the Harbin Medical University Graduate Student Scientific Research and Innovation Practice Project
ID : YJSCX2023-299HYD
Organisme : the Harbin Medical University Graduate Student Scientific Research and Innovation Practice Project
ID : YJSCX2023-299HYD
Organisme : the Harbin Medical University Graduate Student Scientific Research and Innovation Practice Project
ID : YJSCX2023-299HYD
Informations de copyright
© 2024. The Author(s).
Références
Anand S, Fan VY, Zhang J, Zhang L, Ke Y, Dong Z, et al. China’s human resources for health: quantity, quality, and distribution. Lancet. 2008;372:1774–81.
pubmed: 18930528
doi: 10.1016/S0140-6736(08)61363-X
National Health Commission of the People’s Republic of China. Statistical Bulletin on the Development of China’s Health Care in 2022. 2023. https://www.gov.cn/lianbo/bumen/202310/P020231012649046990925.pdf . (In Chinese).
General Office of the State Council of the People’s Republic of China. Outline of the National Medical and Health Service System Planning (2015–2020). 2015. https://www.gov.cn/zhengce/content/2015-03/30/content_9560.htm (In Chinese).
Dussault G, Franceschini MC. Not enough there, too many here: understanding geographical imbalances in the distribution of the health workforce. Hum Resour Health. 2006;4:12.
pubmed: 16729892
pmcid: 1481612
doi: 10.1186/1478-4491-4-12
Bustamante Izquierdo JP, Puertas EB, Hernández Hernández D, Sepúlveda H. COVID-19 and human resources for health: analysis of planning, policy responses and actions in latin American and Caribbean countries. Hum Resour Health. 2023;21:21.
pubmed: 36918895
pmcid: 10013275
doi: 10.1186/s12960-023-00795-8
World Health Organization. Global strategy on human resources for health: workforce 2030. Geneva: World Health Organization; 2016.
Increasing Access to Health Workers in. Remote and rural areas through Improved Retention: global policy recommendations. Geneva: World Health Organization; 2010.
Blaauw D, Erasmus E, Pagaiya N, Tangcharoensathein V, Mullei K, Mudhune S, et al. Policy interventions that attract nurses to rural areas: a multicountry discrete choice experiment. Bull World Health Organ. 2010;88:350–6.
pubmed: 20461141
pmcid: 2865663
doi: 10.2471/BLT.09.072918
Deng X, Liang L, Wu F, Wang Z, He S. A review of the balance of regional development in China from the perspective of development geography. J Geogr Sci. 2022;32:3–22.
doi: 10.1007/s11442-021-1930-0
Zhang Y, Lin X, Li X, Han Y. The impacts of altruism levels on the job preferences of medical students: a cross-sectional study in China. BMC Med Educ. 2023;23:538.
pubmed: 37501080
pmcid: 10375683
doi: 10.1186/s12909-023-04490-z
Zhang X, Ning N, Zhou H, Shan L, Hao Y, Jiao M, et al. Inequity in Health services utilization in economically underdeveloped regions of Northeast China. Front Public Health. 2022;10:850157.
pubmed: 35493377
pmcid: 9051237
doi: 10.3389/fpubh.2022.850157
National Bureau of Statistics. China Statistical Yearbook 2023; China Statistics Press: Beijing. (In Chinese).
Lu M. Judging perspective, real hidden worries and solutions of the Northeast problem. J Dongbei Univ Finance Econ. 2017;06:82–84+79. (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;33:374–83.
pubmed: 32553083
Jiang Y. Population Migration and Brain Drain in Northeast China. China Popul dev stud. 2017;1:71–80.
doi: 10.1007/BF03500925
Luo N, Bai R, Sun Y, Li X, Liu L, Xu X, et al. Job preferences of master of public health students in China: a discrete choice experiment. BMC Med Educ. 2024;24:24.
pubmed: 38178052
pmcid: 10768294
doi: 10.1186/s12909-023-04993-9
Al-Mohaithef M, Javed NB, Elkhalifa AM, Tahash M, Chandramohan S, Hazazi A, et al. Evaluation of Public Health Education and Workforce Needs in the Kingdom of Saudi Arabia. J Epidemiol Glob Health. 2020;10:96–106.
pubmed: 32175716
pmcid: 7310808
doi: 10.2991/jegh.k.191123.001
Liu S, Chen Y, Li S, Xu N, Tang C, Wei Y. What are the important factors influencing the recruitment and retention of doctoral students in a public health setting? a discrete choice experiment survey in China. IJERPH. 2021;18(18):9474.
İşlek E, Şahin B. What are the job attribute preferences of physicians and nurses in Türkiye? Evidence from a discrete choice experiment. Hum Resour Health. 2023;21:52.
pubmed: 37381040
pmcid: 10308634
doi: 10.1186/s12960-023-00826-4
Thai T, Lancsar E, Spinks J, Freeman C, Chen G. Understanding Australian pharmacy degree holders’ job preferences through the lens of motivation-hygiene theory. Soc Sci Med. 2024;348:116832.
pubmed: 38569288
doi: 10.1016/j.socscimed.2024.116832
Bao M, Huang C. Job preferences of medical and nursing students seeking employment in rural China: a discrete choice experiment. BMC Med Educ. 2021;21(1):146.
Liu P, Liu S, Gong T, Li Q, Chen G, Li S. Job preferences of undergraduate pharmacy students in China: a discrete choice experiment. Hum Resour Health. 2021;19:79.
pubmed: 34229701
pmcid: 8259344
doi: 10.1186/s12960-021-00626-8
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:e0211345.
pubmed: 30682170
pmcid: 6347231
doi: 10.1371/journal.pone.0211345
Tian Z, Guo W, Zhai M, Li H. Job preference of preventive medicine students during the COVID-19 pandemic: a discrete choice experiment survey in Shandong Province, China. BMC Med Educ. 2023;23:890.
pubmed: 38012762
pmcid: 10680353
doi: 10.1186/s12909-023-04873-2
Liu S, Gu Y, Yang Y, Schroeder E, Chen Y. Tackling brain drain at Chinese CDCs: understanding job preferences of public health doctoral students using a discrete choice experiment survey. Hum Resour Health. 2022;20(1):46.
Araujo E, Maeda A. How to Recruit and Retain Health Workers in Rural and Remote Areas in Developing Countries: A Guidance Note. 2013.
Soekhai V, de Bekker-Grob EW, Ellis AR, Vass CM. Discrete choice experiments in Health Economics: past, Present and Future. PharmacoEconomics. 2019;37:201–26.
pubmed: 30392040
doi: 10.1007/s40273-018-0734-2
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.
pubmed: 25179422
pmcid: 4161911
doi: 10.1186/1472-6963-14-367
Haddadfar A, Emamgholipour S, Razani M, Salehnejad MH. Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment. Hum Resour Health. 2023;21:91.
pubmed: 38012632
pmcid: 10680310
doi: 10.1186/s12960-023-00875-9
Engidaw M, Alemu MB, Muche GA, Yitayal M. Rural job preferences of graduate class medical students in Ethiopia—a discrete choice experiment (DCE). BMC Med Educ. 2023;23:155.
pubmed: 36915104
pmcid: 10009985
doi: 10.1186/s12909-023-04133-3
Lancsar E, Louviere J. Conducting Discrete Choice experiments to Inform Healthcare decision making. PharmacoEconomics. 2008;26:661–77.
pubmed: 18620460
doi: 10.2165/00019053-200826080-00004
Pearmain D, Kroes E. Stated preference techniques: a guide to practices. 1990.
Orme B. Sample size issues for conjoint analysis studies. Sequim: Sawtooth Software Technical Paper; 1998.
Johnson R, Orme B. Getting the most from CBC. Sequim: Sawtooth Software Research Paper Series; Sawtooth Software; 2003.
de Bekker-Grob EW, Donkers B, Jonker MF, Stolk EA. Sample size requirements for Discrete-Choice experiments in Healthcare: a practical guide. Patient. 2015;8:373–84.
pubmed: 25726010
pmcid: 4575371
doi: 10.1007/s40271-015-0118-z
Wang H, Rowen DL, Brazier JE, Jiang L. Discrete choice experiments in Health State Valuation: a systematic review of Progress and New trends. Appl Health Econ Health Policy. 2023;21:405–18.
pubmed: 36997744
pmcid: 10062300
doi: 10.1007/s40258-023-00794-9
Hauber AB, González JM, Groothuis-Oudshoorn CGM, Prior T, Marshall DA, Cunningham C, et al. Statistical methods for the analysis of Discrete Choice experiments: a report of the ISPOR Conjoint Analysis Good Research Practices Task Force. Value Health. 2016;19:300–15.
pubmed: 27325321
doi: 10.1016/j.jval.2016.04.004
Sivey P, Scott A, Witt J, Joyce C, Humphreys J. Junior doctors’ preferences for specialty choice. J Health Econ. 2012;31:813–23.
pubmed: 22940638
doi: 10.1016/j.jhealeco.2012.07.001
Greene WH, Hensher DA. A latent class model for discrete choice analysis: contrasts with mixed logit. Transp Res Part B: Methodological. 2003;37:681–98.
doi: 10.1016/S0191-2615(02)00046-2
van Smeden M, Naaktgeboren CA, Reitsma JB, Moons KGM, de Groot JAH. Latent class models in diagnostic studies when there is no reference standard–a systematic review. Am J Epidemiol. 2014;179:423–31.
pubmed: 24272278
doi: 10.1093/aje/kwt286
Bao M, Huang C, Wang L, Yan G, Chen G. Eliciting primary healthcare physicians’ preferences for job characteristics in rural China: a discrete choice experiment. BMJ Open. 2023;13:e056741.
pubmed: 36921936
pmcid: 10030470
doi: 10.1136/bmjopen-2021-056741
Liu S, Li S, Yang R, Liu T, Chen G. Job preferences for medical students in China: a discrete choice experiment. Med (Baltim). 2018;97:e12358.
doi: 10.1097/MD.0000000000012358
Terry D, Peck B, Baker E, Schmitz D. The rural nursing workforce hierarchy of needs: decision-making concerning Future Rural Healthcare Employment. Healthcare. 2021;9:1232.
pubmed: 34575006
pmcid: 8467652
doi: 10.3390/healthcare9091232
Leider JP, Yeager VA, Kirkland C, Krasna H, Hare Bork R, Resnick B. The state of the US Public Health Workforce: Ongoing challenges and future directions. Annu Rev Public Health. 2023;44:323–41.
pubmed: 36692395
doi: 10.1146/annurev-publhealth-071421-032830
Ren J. Cultivation and motivation of leading geese for rural revitalization. People’s Forum. 2024;1:30–5. (In Chinese).
Goetz K, Campbell SM, Broge B, Dörfer CE, Brodowski M, Szecsenyi J. The impact of intrinsic and extrinsic factors on the job satisfaction of dentists. Community Dent Oral Epidemiol. 2012;40:474–80.
pubmed: 22519887
doi: 10.1111/j.1600-0528.2012.00693.x
Lu X, Song HJ. The differentiated impact of tourism development on the income of urban and rural residents in resource-based areas. J Shanxi Economic Manage Cadre Inst. 2023;31:1–9. (In Chinese).
Ang YY. Counting cadres: a comparative view of the size of China’s Public Employment. China Q. 2012;211:676–96.
doi: 10.1017/S0305741012000884
Brødsgaard KE. Institutional Reform and the Bianzhi System in China. China Q. 2002;170:361–86.
doi: 10.1017/S0009443902000232
Liang Y. Seeking Stability in China’s Involuted Generation. J Undergrad Ethnography. 2024;14:35–50.
doi: 10.15273/jue.v14i1.12047
Luo L. Interpretation of the contemporary source of official standard consciousness. Sci Leadership. 2021;9:15–8. (In Chinese).
Krasna H, Kornfeld J, Cushman L, Ni S, Antoniou P, March D. The New Public Health Workforce: Employment Outcomes of Public Health Graduate Students. J Public Health Manage Pract. 2021;27:12.
doi: 10.1097/PHH.0000000000000976
Li H, Kong P, Yu H, Zhao S, Yuan J, Meng Q. Analysis of influencing factors of work behavior of grassroots and public health staff. Chin Health Policy Res. 2012;5(3):6–11. (In Chinese).
Honda A, Krucien N, Ryan M, Diouf ISN, Salla M, Nagai M, et al. For more than money: willingness of health professionals to stay in remote Senegal. Hum Resour Health. 2019;17:28.
pubmed: 31023372
pmcid: 6485088
doi: 10.1186/s12960-019-0363-7
Locke R, McGinty M, Guerrero Ramirez G, Sellers K. Attracting New Talent to the Governmental Public Health Workforce: Strategies for Improved Recruitment of Public Health Graduates. J Public Health Manag Pract. 2022;28:E235–43.
pubmed: 33570871
doi: 10.1097/PHH.0000000000001336
Gao Z, Pang J, Zhou H. The economics of marriage: evidence from China. Hum Soc Sci Commun. 2022;9:399.
doi: 10.1057/s41599-022-01400-4
Li H, Zheng F, Zhang J, Guo Z, Yang H, Ren C, et al. 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.
pubmed: 33425824
pmcid: 7793996
doi: 10.3389/fpubh.2020.508109