IDEAS home Printed from https://ideas.repec.org/a/eee/eejocm/v41y2021ics175553452100052x.html
   My bibliography  Save this article

Using choice experiments to improve equity in access to socially marketed HIV prevention products

Author

Listed:
  • Terris-Prestholt, Fern
  • Mulatu, Abay
  • Quaife, Matthew
  • Gafos, Mitzy
  • Medley, Graham F.
  • MacPhail, Catherine
  • Hanson, Kara

Abstract

Designing strategies to introduce new HIV prevention technologies requires balancing equitable access with sustainable distribution, particularly in resource constrained settings with high HIV prevalence. This paper explores how knowledge of preference heterogeneity can guide the equitable targeting of HIV prevention products using differentiated advertising and product placement to balance increased access with sustainability.

Suggested Citation

  • Terris-Prestholt, Fern & Mulatu, Abay & Quaife, Matthew & Gafos, Mitzy & Medley, Graham F. & MacPhail, Catherine & Hanson, Kara, 2021. "Using choice experiments to improve equity in access to socially marketed HIV prevention products," Journal of choice modelling, Elsevier, vol. 41(C).
    • Handle: RePEc:eee:eejocm:v:41:y:2021:i:c:s175553452100052x
    DOI: 10.1016/j.jocm.2021.100319
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S175553452100052X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jocm.2021.100319?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    2. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Gabriela B Gomez & Annick Borquez & Kelsey K Case & Ana Wheelock & Anna Vassall & Catherine Hankins, 2013. "The Cost and Impact of Scaling Up Pre-exposure Prophylaxis for HIV Prevention: A Systematic Review of Cost-Effectiveness Modelling Studies," PLOS Medicine, Public Library of Science, vol. 10(3), pages 1-16, March.
    5. Arupendra Mozumdar & Rajib Acharya & Subrato Kumar Mondal & Amit Arun Shah & Niranjan Saggurti, 2019. "India's family planning market and opportunities for the private sector: An analysis using the total market approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(4), pages 1078-1096, October.
    6. Alemi, Farzad & Circella, Giovanni & Mokhtarian, Patricia & Handy, Susan, 2018. "Exploring the latent constructs behind the use of ridehailing in California," Journal of choice modelling, Elsevier, vol. 29(C), pages 47-62.
    7. Rigby, Dan & Burton, Michael & Balcombe, Kelvin & Bateman, Ian & Mulatu, Abay, 2015. "Contract cheating & the market in essays," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 23-37.
    8. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    9. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    10. Michaels-Igbokwe, Christine & Lagarde, Mylene & Cairns, John & Terris-Prestholt, Fern, 2014. "Using decision mapping to inform the development of a stated choice survey to elicit youth preferences for sexual and reproductive health and HIV services in rural Malawi," Social Science & Medicine, Elsevier, vol. 105(C), pages 93-102.
    11. Zhou, Mo & Bridges, John F.P., 2019. "Explore preference heterogeneity for treatment among people with Type 2 diabetes: A comparison of random-parameters and latent-class estimation techniques," Journal of choice modelling, Elsevier, vol. 30(C), pages 38-49.
    12. Knox, Stephanie A. & Viney, Rosalie C. & Gu, Yuanyuan & Hole, Arne R. & Fiebig, Denzil G. & Street, Deborah J. & Haas, Marion R. & Weisberg, Edith & Bateson, Deborah, 2013. "The effect of adverse information and positive promotion on women's preferences for prescribed contraceptive products," Social Science & Medicine, Elsevier, vol. 83(C), pages 70-80.
    13. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    14. Terris-Prestholt, Fern & Windmeijer, Frank, 2016. "How to sell a condom? The impact of demand creation tools on male and female condom sales in resource limited settings," Journal of Health Economics, Elsevier, vol. 48(C), pages 107-120.
    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. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    2. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    3. Zhou, Mo & Bridges, John F.P., 2019. "Explore preference heterogeneity for treatment among people with Type 2 diabetes: A comparison of random-parameters and latent-class estimation techniques," Journal of choice modelling, Elsevier, vol. 30(C), pages 38-49.
    4. Akshay Vij & Rico Krueger, 2018. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Papers 1802.02299, arXiv.org.
    5. Vij, Akshay & Krueger, Rico, 2017. "Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 76-101.
    6. Youssef M Aboutaleb & Mazen Danaf & Yifei Xie & Moshe Ben-Akiva, 2020. "Sparse Covariance Estimation in Logit Mixture Models," Papers 2001.05034, arXiv.org.
    7. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, George, "undated". "Front of Pack Food Labels and dietary choice determinants: what works and for whom?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261225, Agricultural and Applied Economics Association.
    8. Bethany Cooper & Michael Burton & Lin Crase, 2023. "Exploring customer heterogeneity with a scale‐extended latent class choice model: Experimental evidence drawn from urban water users," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 176-197, April.
    9. Epstein, Andrew J., 2010. "Effects of report cards on referral patterns to cardiac surgeons," Journal of Health Economics, Elsevier, vol. 29(5), pages 718-731, September.
    10. Xiong, Yingge & Tobias, Justin L. & Mannering, Fred L., 2014. "The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 109-128.
    11. Bougherara, Douadia & Lapierre, Margaux & Préget, Raphaële & Sauquet, Alexandre, 2021. "Do farmers prefer increasing, decreasing, or stable payments in Agri-environmental schemes?," Ecological Economics, Elsevier, vol. 183(C).
    12. Wang, Chen & Sun, Jiayi & Russell, Roddy & Daziano, Ricardo A., 2018. "Analyzing willingness to improve the resilience of New York City's transportation system," Transport Policy, Elsevier, vol. 69(C), pages 10-19.
    13. Christian Pfarr & Andreas Schmid & Morten Raun Mørkbak, 2018. "Modelling Heterogeneous Preferences for Income Redistribution–An Application of Continuous and Discrete Distributions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 270-294, June.
    14. Xiong, Yingge & Mannering, Fred L., 2013. "The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 39-54.
    15. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
    16. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    17. Scott, Anthony & Witt, Julia, 2020. "Loss aversion, reference dependence and diminishing sensitivity in choice experiments," Journal of choice modelling, Elsevier, vol. 37(C).
    18. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    19. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    20. Denzil G. Fiebig & Stephanie Knox & Rosalie Viney & Marion Haas & Deborah J. Street, 2011. "Preferences for new and existing contraceptive products," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 35-52, September.

    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:eee:eejocm:v:41:y:2021:i:c:s175553452100052x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-choice-modelling .

    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.