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The stated preferences of community-based volunteers for roles in the prevention of violence against women and girls in Ghana: A discrete choice analysis

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  • Arora, Nikita
  • dit Sourd, Romain Crastes
  • Quaife, Matthew
  • Vassall, Anna
  • Ferrari, Giulia
  • Alangea, Deda Ogum
  • Tawiah, Theresa
  • Dwommoh Prah, Rebecca Kyerewaa
  • Jewkes, Rachel
  • Hanson, Kara
  • Torres Rueda, Sergio

Abstract

Violence against women and girls (VAWG) is a human rights violation with substantial health-related consequences. Interventions to prevent VAWG, often implemented at the community level by volunteers, have been proven effective and cost-effective. One such intervention is the Rural Response System in Ghana, a volunteer-run program which hires community based action teams (COMBATs) to sensitise the community about VAWG and to provide counselling services in rural areas. To increase programmatic impact and maximise the retention of these volunteers, it is important to understand their preferences for incentives.

Suggested Citation

  • Arora, Nikita & dit Sourd, Romain Crastes & Quaife, Matthew & Vassall, Anna & Ferrari, Giulia & Alangea, Deda Ogum & Tawiah, Theresa & Dwommoh Prah, Rebecca Kyerewaa & Jewkes, Rachel & Hanson, Kara & , 2023. "The stated preferences of community-based volunteers for roles in the prevention of violence against women and girls in Ghana: A discrete choice analysis," Social Science & Medicine, Elsevier, vol. 324(C).
    • Handle: RePEc:eee:socmed:v:324:y:2023:i:c:s0277953623002277
    DOI: 10.1016/j.socscimed.2023.115870
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    1. Karen M Devries & Joelle Y Mak & Loraine J Bacchus & Jennifer C Child & Gail Falder & Max Petzold & Jill Astbury & Charlotte H Watts, 2013. "Intimate Partner Violence and Incident Depressive Symptoms and Suicide Attempts: A Systematic Review of Longitudinal Studies," PLOS Medicine, Public Library of Science, vol. 10(5), pages 1-11, May.
    2. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    4. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    5. Esther Bekker-Grob & Bas Donkers & Marcel Jonker & Elly Stolk, 2015. "Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 373-384, October.
    6. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    7. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    8. Mandeville, Kate L. & Ulaya, Godwin & Lagarde, Mylène & Muula, Adamson S. & Dzowela, Titha & Hanson, Kara, 2016. "The use of specialty training to retain doctors in Malawi: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 169(C), pages 109-118.
    9. Chandler, Clare I.R. & Chonya, Semkini & Mtei, Frank & Reyburn, Hugh & Whitty, Christopher J.M., 2009. "Motivation, money and respect: A mixed-method study of Tanzanian non-physician clinicians," Social Science & Medicine, Elsevier, vol. 68(11), pages 2078-2088, June.
    10. Saran, Indrani & Winn, Laura & Kipkoech Kirui, Joseph & Menya, Diana & Prudhomme O'Meara, Wendy, 2020. "The relative importance of material and non-material incentives for community health workers: Evidence from a discrete choice experiment in Western Kenya," Social Science & Medicine, Elsevier, vol. 246(C).
    11. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    12. Matthew Quaife & Robyn Eakle & Maria A. Cabrera Escobar & Peter Vickerman & Maggie Kilbourne-Brook & Mercy Mvundura & Sinead Delany-Moretlwe & Fern Terris-Prestholt, 2018. "Divergent Preferences for HIV Prevention: A Discrete Choice Experiment for Multipurpose HIV Prevention Products in South Africa," Medical Decision Making, , vol. 38(1), pages 120-133, January.
    13. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    14. Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
    15. Giulia Ferrari & Sergio Torres-Rueda & Esnat Chirwa & Andrew Gibbs & Stacey Orangi & Edwine Barasa & Theresa Tawiah & Rebecca Kyerewaa Dwommoh Prah & Regis Hitimana & Emmanuelle Daviaud & Eleonah Kapa, 2022. "Prevention of violence against women and girls: A cost-effectiveness study across 6 low- and middle-income countries," PLOS Medicine, Public Library of Science, vol. 19(3), pages 1-31, March.
    16. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    17. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    18. Charles F. Manski, 2001. "Daniel McFadden and the Econometric Analysis of Discrete Choice," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 217-230, June.
    19. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    20. Lagarde, Mylene & Erens, Bob & Mays, Nicholas, 2015. "Determinants of the choice of GP practice registration in England: Evidence from a discrete choice experiment," Health Policy, Elsevier, vol. 119(4), pages 427-436.
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