References
  1. Pilgrim, N., et al., Provider perspectives on PrEP for adolescent girls and young women in Tanzania: The role of provider biases and quality of care. PLoS One, 2018 Apr 27; 13(4).

  2. Michaels-Igbokwe, C. et al., Young People’s Preferences for Family Planning Service Providers in Rural Malawi: A Discrete Choice Experiment. PLoS One, 2015 Dec 2; 10(12).

  3. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  4. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  5. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  6. According to clinical research site reports referenced in: Schwartz K., et al., Supporting participant adherence through structured engagement activities in the MTN-020 (ASPIRE) trial. Poster Presentation, HIV Research for Prevention Conference, Cape Town, South Africa, October 2014.

  7. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  8. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  9. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  10. Starmann, E. et al., Examining diffusion to understand the how of SASA!, a violence against women and HIV prevention intervention in Uganda. BMC Public Health, 2018 May 11; 18(1).

  11. Babalola, S. et al., Evaluation of the effects of Smart Client Digital Health Tool in Kaduna, Nigeria. Baltimore ,MD: Health Communication Capacity Collaborative, Johns Hopkins Center for Communication Programs; 2017.

  12. Feyisetan, B. et al., Assessing the effects of mCenas! SMS Education on knowledge, attitudes, and self-efficacy related to contraception in Mozambique. Washington, DC: Evidence to Action Project; 2015.

  13. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  14. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  15. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  16. Michaels-Igbokwe, C. et al., Young People’s Preferences for Family Planning Service Providers in Rural Malawi: A Discrete Choice Experiment. PLoS One, 2015 Dec 2; 10(12).

  17. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

  18. Myers, L. et al., A behavior-centred design approach to creating demand for oral PrEP among young women in Masiphumelele, South Africa. Poster Presentation, AIDS 2018; Amsterdam, Netherlands, 2018.

  • References
    1. Pilgrim, N., et al., Provider perspectives on PrEP for adolescent girls and young women in Tanzania: The role of provider biases and quality of care. PLoS One, 2018 Apr 27; 13(4).

    2. Michaels-Igbokwe, C. et al., Young People’s Preferences for Family Planning Service Providers in Rural Malawi: A Discrete Choice Experiment. PLoS One, 2015 Dec 2; 10(12).

    3. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    4. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    5. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    6. According to clinical research site reports referenced in: Schwartz K., et al., Supporting participant adherence through structured engagement activities in the MTN-020 (ASPIRE) trial. Poster Presentation, HIV Research for Prevention Conference, Cape Town, South Africa, October 2014.

    7. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    8. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    9. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    10. Starmann, E. et al., Examining diffusion to understand the how of SASA!, a violence against women and HIV prevention intervention in Uganda. BMC Public Health, 2018 May 11; 18(1).

    11. Babalola, S. et al., Evaluation of the effects of Smart Client Digital Health Tool in Kaduna, Nigeria. Baltimore ,MD: Health Communication Capacity Collaborative, Johns Hopkins Center for Communication Programs; 2017.

    12. Feyisetan, B. et al., Assessing the effects of mCenas! SMS Education on knowledge, attitudes, and self-efficacy related to contraception in Mozambique. Washington, DC: Evidence to Action Project; 2015.

    13. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    14. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    15. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    16. Michaels-Igbokwe, C. et al., Young People’s Preferences for Family Planning Service Providers in Rural Malawi: A Discrete Choice Experiment. PLoS One, 2015 Dec 2; 10(12).

    17. According to the qualitative analysis memos from the Reaching High Risk Women for PrEP: Learning from ARV-based HIV prevention trials studyprovided by K Stankevitz, MSc., in May 2018. 

    18. Myers, L. et al., A behavior-centred design approach to creating demand for oral PrEP among young women in Masiphumelele, South Africa. Poster Presentation, AIDS 2018; Amsterdam, Netherlands, 2018.