IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v39y2019i5p568-582.html
   My bibliography  Save this article

Enhancing Public Health Messaging: Discrete-Choice Experiment Evidence on the Design of HIV Testing Messages in China

Author

Listed:
  • Maya Durvasula

    (Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    Social Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China)

  • Stephen W. Pan

    (Social Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China
    Department of Health and Environmental Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, China)

  • Jason J. Ong

    (Social Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China
    Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK)

  • Weiming Tang

    (Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    Social Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China)

  • Bolin Cao

    (School of Mass Media and Communication, Shenzhen University, Shenzhen, China)

  • Chuncheng Liu

    (Department of Sociology, University of California, San Diego, San Diego, CA, USA)

  • Fern Terris-Prestholt

    (Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK)

  • Joseph D. Tucker

    (Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    Social Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China
    Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
    Dermatology Hospital, Southern Medical University, Guangzhou, China)

Abstract

Introduction . While a growing literature documents the effectiveness of public health messaging on social media, our understanding of the factors that encourage individuals to engage with and share messages is limited. In the context of human immunodeficiency virus (HIV) among men who have sex with men (MSM) in China, rising incidence and low testing rates despite decades of interventions suggest the need for effective, targeted messaging to reach underserved populations. Social media platforms and sex-seeking apps present a promising avenue, as web-based strategies can take advantage of existing trust within dense social networks. Methods . We conducted an online discrete-choice experiment in January 2017 with MSM from across China. Participants were presented with 6 choice tasks, each composed of 2 messages about HIV testing, and were asked in which scenario they were more likely to share the content. Participants were given information about the source of the HIV testing message, the social media sharing platform, and the recipients with whom they would share the message. They were given the option of sharing 1 message or neither. Multinomial and mixed logit models were used to model preferences within 4 subgroups. Results . In total, 885 MSM joined the survey, completing 4387 choice tasks. The most important attribute for 3 of the 4 subgroups was social media sharing platform. Men were more willing to share messages on sex-seeking mobile applications and less willing to share materials on generic (non-MSM) social media platforms. We found that men with more active online presences were less willing to share HIV testing messages on generic social media platforms. Conclusions . Our findings suggest that sex-seeking platforms represent a targeted, efficient method of actively engaging MSM in public health interventions.

Suggested Citation

  • Maya Durvasula & Stephen W. Pan & Jason J. Ong & Weiming Tang & Bolin Cao & Chuncheng Liu & Fern Terris-Prestholt & Joseph D. Tucker, 2019. "Enhancing Public Health Messaging: Discrete-Choice Experiment Evidence on the Design of HIV Testing Messages in China," Medical Decision Making, , vol. 39(5), pages 568-582, July.
  • Handle: RePEc:sae:medema:v:39:y:2019:i:5:p:568-582
    DOI: 10.1177/0272989X19859344
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X19859344
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X19859344?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, October.
    2. Jordan J. Louviere & Towhidul Islam & Nada Wasi & Deborah Street & Leonie Burgess, 2008. "Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(2), pages 360-375, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Esther W. Bekker-Grob & Bas Donkers & Jorien Veldwijk & Marcel F. Jonker & Sylvia Buis & Jan Huisman & Patrick Bindels, 2021. "What Factors Influence Non-Participation Most in Colorectal Cancer Screening? A Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(2), pages 269-281, March.
    2. Danne, M. & Musshoff, O. & Schulte, M., 2019. "Analysing the importance of glyphosate as part of agricultural strategies: A discrete choice experiment," Land Use Policy, Elsevier, vol. 86(C), pages 189-207.
    3. Feucht, Yvonne & Zander, Katrin, 2017. "Consumers' Willingness to Pay for Climate-Friendly Food in European Countries," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276930, International European Forum on System Dynamics and Innovation in Food Networks.
    4. Jaewoong Yun, 2023. "Strategies for Improving the Sustainability of Fare-Free Policy for the Elderly through Preferences by Travel Modes," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    5. Du, Hua & Han, Qi & de Vries, Bauke & Sun, Jun, 2024. "Community solar PV adoption in residential apartment buildings: A case study on influencing factors and incentive measures in Wuhan," Applied Energy, Elsevier, vol. 354(PA).
    6. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    7. Nicolas Jacquemet & Stephane Luchini & Jason Shogren & Verity Watson, 2019. "Discrete Choice under Oaths," Post-Print halshs-02136103, HAL.
    8. Ju-Hee Kim & Younggew Kim & Seung-Hoon Yoo, 2021. "Using a choice experiment to explore the public willingness to pay for the impacts of improving energy efficiency of an apartment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1775-1793, October.
    9. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    10. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).
    11. Scheufele, Gabriela & Bennett, Jeffrey W., 2010. "Ordering effects and strategic response in discrete choice experiments," Research Reports 107743, Australian National University, Environmental Economics Research Hub.
    12. Hensher, David A. & Ho, Chinh & Mulley, Corinne, 2015. "Identifying resident preferences for bus-based and rail-based investments as a complementary buy in perspective to inform project planning prioritisation," Journal of Transport Geography, Elsevier, vol. 46(C), pages 1-9.
    13. David A. Hensher & Chinh Ho & Matthew J. Beck, 2017. "A simplified and practical alternative way to recognise the role of household characteristics in determining an individual’s preferences: the case of automobile choice," Transportation, Springer, vol. 44(1), pages 225-240, January.
    14. Chang Liu & Mingshui Lin & Xinhua Qi & Wenjuan Zheng, 2021. "Estimating the Preservation Value of Wuyishan National Park from the Perspective of Bounded Rational Decision Making," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    15. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.
    16. Concepción Román & Raquel Espino & Juan Martín & Ofelia Betancor & Gustavo Nombela, 2008. "Analyzing Mobility in Peripheral Regions of the European Union: The Case of Canarias-Madeira-Azores," Networks and Spatial Economics, Springer, vol. 8(2), pages 141-160, September.
    17. Sobolewski, Maciej & Czajkowski, Mikołaj, 2018. "Receiver benefits and strategic use of call externalities in mobile telephony markets," Information Economics and Policy, Elsevier, vol. 44(C), pages 16-27.
    18. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    19. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    20. Phu Nguyen Van & Thierry Blayac & Dimitri Dubois & Sebastien Duchene & Marc Willinger & Bruno Ventelou, 2021. "Designing acceptable anti-COVID-19 policies by taking into account individuals’ preferences: evidence from a Discrete Choice Experiment," EconomiX Working Papers 2021-33, University of Paris Nanterre, EconomiX.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:39:y:2019:i:5:p:568-582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.