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Population preferences for breast cancer screening policies: Discrete choice experiment in Belarus

Author

Listed:
  • Olena Mandrik
  • Alesya Yaumenenka
  • Rolando Herrero
  • Marcel F Jonker

Abstract

Background: Reaching an acceptable participation rate in screening programs is challenging. With the objective of supporting the Belarus government to implement mammography screening as a single intervention, we analyse the main determinants of breast cancer screening participation. Methods: We developed a discrete choice experiment using a mixed research approach, comprising a literature review, in-depth interviews with key informants (n = 23), “think aloud” pilots (n = 10) and quantitative measurement of stated preferences for a representative sample of Belarus women (n = 428, 89% response rate). The choice data were analysed using a latent class logit model with four classes selected based on statistical (consistent Akaike information criterion) and interpretational considerations. Results: Women in the sample were representative of all six geographic regions, mainly urban (81%), and high-education (31%) characteristics. Preferences of women in all four classes were primarily influenced by the perceived reliability of the test (sensitivity and screening method) and costs. Travel and waiting time were important components in the decision for 34% of women. Most women in Belarus preferred mammography screening to the existing clinical breast examination (90%). However, if the national screening program is restricted in capacity, this proportion of women will drop to 55%. Women in all four classes preferred combined screening (mammography with clinical breast examination) to single mammography. While this preference was stronger if lower test sensitivity was assumed, 28% of women consistently gave more importance to combined screening than to test sensitivity. Conclusion: Women in Belarus were favourable to mammography screening. Population should be informed that there are no benefits of combined screening compared to single mammography. The results of this study are directly relevant to policy makers and help them targeting the screening population.

Suggested Citation

  • Olena Mandrik & Alesya Yaumenenka & Rolando Herrero & Marcel F Jonker, 2019. "Population preferences for breast cancer screening policies: Discrete choice experiment in Belarus," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-17, November.
    • Handle: RePEc:plo:pone00:0224667
    DOI: 10.1371/journal.pone.0224667
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    References listed on IDEAS

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    1. Marcel F. Jonker & Bas Donkers & Esther de Bekker‐Grob & Elly A. Stolk, 2019. "Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 350-363, March.
    2. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    3. Daniele Pacifico & Hong il Yoo, 2013. "lclogit: A Stata command for fitting latent-class conditional logit models via the expectation-maximization algorithm," Stata Journal, StataCorp LP, vol. 13(3), pages 625-639, September.
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