IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0092100.html
   My bibliography  Save this article

Heterogeneous HIV Testing Preferences in an Urban Setting in Tanzania: Results from a Discrete Choice Experiment

Author

Listed:
  • Jan Ostermann
  • Bernard Njau
  • Derek S Brown
  • Axel Mühlbacher
  • Nathan Thielman

Abstract

Background: Efforts to reduce Human Immunodeficiency Virus (HIV) transmission through treatment rely on HIV testing programs that are acceptable to broad populations. Yet, testing preferences among diverse at-risk populations in Sub-Saharan Africa are poorly understood. We fielded a population-based discrete choice experiment (DCE) to evaluate factors that influence HIV-testing preferences in a low-resource setting. Methods: Using formative work, a pilot study, and pretesting, we developed a DCE survey with five attributes: distance to testing, confidentiality, testing days (weekday vs. weekend), method for obtaining the sample for testing (blood from finger or arm, oral swab), and availability of HIV medications at the testing site. Cluster-randomization and Expanded Programme on Immunization (EPI) sampling methodology were used to enroll 486 community members, ages 18–49, in an urban setting in Northern Tanzania. Interviewer-assisted DCEs, presented to participants on iPads, were administered between September 2012 and February 2013. Results: Nearly three of five males (58%) and 85% of females had previously tested for HIV; 20% of males and 37% of females had tested within the past year. In gender-specific mixed logit analyses, distance to testing was the most important attribute to respondents, followed by confidentiality and the method for obtaining the sample for the HIV test. Both unconditional assessments of preferences for each attribute and mixed logit analyses of DCE choice patterns suggest significant preference heterogeneity among participants. Preferences differed between males and females, between those who had previously tested for HIV and those who had never tested, and between those who tested in the past year and those who tested more than a year ago. Conclusion: The findings suggest potentially significant benefits from tailoring HIV testing interventions to match the preferences of specific populations, including males and females and those who have never tested for HIV.

Suggested Citation

  • Jan Ostermann & Bernard Njau & Derek S Brown & Axel Mühlbacher & Nathan Thielman, 2014. "Heterogeneous HIV Testing Preferences in an Urban Setting in Tanzania: Results from a Discrete Choice Experiment," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-11, March.
  • Handle: RePEc:plo:pone00:0092100
    DOI: 10.1371/journal.pone.0092100
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092100
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0092100&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0092100?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. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    2. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    3. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    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. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Mahieu, Pierre-Alexandre & Andersson, Henrik & Beaumais, Olivier & Crastes dit Sourd, Romain & Hess, François-Charles & Wolff, François-Charles, 2017. "Stated preferences: a unique database composed of 1657 recent published articles in journals related to agriculture, environment, or health," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 98(3), November.
    3. Jennifer A Whitty & Simon Stewart & Melinda J Carrington & Alicia Calderone & Thomas Marwick & John D Horowitz & Henry Krum & Patricia M Davidson & Peter S Macdonald & Christopher Reid & Paul A Scuffh, 2013. "Patient Preferences and Willingness-To-Pay for a Home or Clinic Based Program of Chronic Heart Failure Management: Findings from the Which? Trial," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    4. Chen, Gang & Ratcliffe, Julie & Milte, Rachel & Khadka, Jyoti & Kaambwa, Billingsley, 2021. "Quality of care experience in aged care: An Australia-Wide discrete choice experiment to elicit preference weights," Social Science & Medicine, Elsevier, vol. 289(C).
    5. Jiang, Shan & Gu, Yuanyuan & Yang, Fan & Wu, Tao & Wang, Hui & Cutler, Henry & Zhang, Lufa, 2020. "Tertiary hospitals or community clinics? An enquiry into the factors affecting patients' choice for healthcare facilities in urban China," China Economic Review, Elsevier, vol. 63(C).
    6. Wakamatsu, Mihoko & Shin, Kong Joo & Wilson, Clevo & Managi, Shunsuke, 2018. "Exploring a Gap between Australia and Japan in the Economic Valuation of Whale Conservation," Ecological Economics, Elsevier, vol. 146(C), pages 397-407.
    7. Chad M. Baum & Robert Weigelt, 2019. "How Where I Shop Influences What I Buy: The Importance of the Retail Format in Sustainable Tomato Consumption," Economic Complexity and Evolution, in: Andreas Chai & Chad M. Baum (ed.), Demand, Complexity, and Long-Run Economic Evolution, pages 141-169, Springer.
    8. Julia Ihli, Hanna & Chiputwa, Brian & Winter, Etti & Gassner, Anja, 2022. "Risk and time preferences for participating in forest landscape restoration: The case of coffee farmers in Uganda," World Development, Elsevier, vol. 150(C).
    9. Hanna Ihli & Ronja Seegers & Etti Winter & Brian Chiputwa & Anja Gassner, 2022. "Preferences for tree fruit market attributes among smallholder farmers in Eastern Rwanda," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 5-21, January.
    10. Andersson, Henrik & Hole, Arne Risa & Svensson, Mikael, 2016. "Valuation of small and multiple health risks: A critical analysis of SP data applied to food and water safety," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 41-53.
    11. Baert, Midas & Kervyn, Matthieu & Kagou, Armand Dongmo & Guedjeo, Christian Suh & Vranken, Liesbet & Mertens, Kewan, 2020. "Resettlement preferences from landslide prone areas in Cameroon: Willingness to move, reasons to stay," Land Use Policy, Elsevier, vol. 95(C).
    12. Krah, Kwabena & Michelson, Hope & Perge, Emilie & Jindal, Rohit, 2019. "Constraints to adopting soil fertility management practices in Malawi: A choice experiment approach," World Development, Elsevier, vol. 124(C), pages 1-1.
    13. Regmi, Arun & Kreye, Melissa M. & Kreye, Jesse K., 2023. "Forest landowner demand for prescribed fire as an ecological management tool in Pennsylvania, USA," Forest Policy and Economics, Elsevier, vol. 148(C).
    14. Mehdi Ammi & Christine Peyron, 2016. "Heterogeneity in general practitioners’ preferences for quality improvement programs: a choice experiment and policy simulation in France," Health Economics Review, Springer, vol. 6(1), pages 1-11, December.
    15. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    16. Emmanuel Aboagye & Jan Hagberg & Iben Axén & Lydia Kwak & Malin Lohela-Karlsson & Eva Skillgate & Gunilla Dahlgren & Irene Jensen, 2017. "Individual preferences for physical exercise as secondary prevention for non-specific low back pain: A discrete choice experiment," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-15, December.
    17. Arne Risa Hole & Hong Il Yoo, 2017. "The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 997-1013, November.
    18. V. Meusel & E. Mentzakis & P. Baji & G. Fiorentini & F. Paolucci, 2023. "Priority setting in the German healthcare system: results from a discrete choice experiment," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 411-431, September.
    19. Brown, Paul & Panattoni, Laura & Cameron, Linda & Knox, Stephanie & Ashton, Toni & Tenbensel, Tim & Windsor, John, 2015. "Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey," Journal of Health Economics, Elsevier, vol. 43(C), pages 118-127.
    20. Chiara Seghieri & Alessandro Mengoni & Sabina Nuti, 2014. "Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(7), pages 773-785, September.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0092100. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.