MediCapt in the Democratic Republic of the Congo: The Design, Development, and Deployment of Mobile Technology to Document Forensic Evidence of Sexual Violence

This review essay provides an overview of the MediCapt app and the steps Physicians for Human Rights has taken to design, develop, and field-test the app in the Democratic Republic of the Congo. It also explores advocacy opportunities that the app’s emerging technology may facilitate down the road. This review essay also identifies the many challenges and questions that we have grappled with and lessons learned as we seek to deploy MediCapt in a low-resourced and politically unstable context and take it to scale beyond DRC. Finally, in sharing the details of this case study, we hope to emphasize both the promise of new mobile technology for human rights organizations as well as the significant legal and ethical responsibilities that accompany it

Time series analysis of sexual assault case characteristics and the 2007-2008 period of post-election violence in Kenya.

Following the declaration that President Mwai Kibaki was the winner of the Kenyan presidential election held on December 27, 2007, a period of post-election violence (PEV) took place. In this study, we aimed to identify whether the period of PEV in Kenya was associated with systematic changes in sexual assault case characteristics.Medical records of 1,615 patients diagnosed with sexual assault between 2007 and 2011 at healthcare facilities in Eldoret (n = 569), Naivasha (n = 534), and Nakuru (n = 512) were retrospectively reviewed to examine characteristics of sexual assault cases over time. Time series and linear regression were used to examine temporal variation in case characteristics relative to the period of post-election violence in Kenya. Key informant interviews with healthcare workers at the sites were employed to triangulate findings. The time series of sexual assault case characteristics at these facilities were examined, with a specific focus on the December 2007-February 2008 period of post-election violence. Prais-Winsten estimates indicated that the three-month period of post-election violence was associated with a 22 percentage-point increase in cases where survivors did not know the perpetrator, a 20 percentage-point increase in cases with more than one perpetrator, and a 4 percentage-point increase in cases that had evidence of abdominal injury. The post-election violence period was also associated with an 18 percentage-point increase in survivors waiting >1 month to report to a healthcare facility. Sensitivity analyses confirmed that these characteristics were specific to the post-election violence time period.These results demonstrate systematic patterns in sexual assault characteristics during the PEV period in Kenya

Prais-Winsten models for key outcomes.

a<p>Adjusted for gender only.</p>b<p>Adjusted for gender and lag between date of assault and presentation to a healthcare facility.</p><p>Prais-Winsten models for key outcomes.</p