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Monitoring Outcomes among Orphans and Vulnerable Children

Palladium is seeking the services of a Democratic Republic of Congo-based research organization to support implementation of a household survey. The survey will be conducted among beneficiaries of a United States President's Emergency Plan for AIDS Relief (PEPFAR)-supported project that aims to improve the well-being of orphans and vulnerable children (OVC) in Democratic Republic of Congo. The survey will measure project outcomes using a standardized methodology that has been developed for application across multiple countries. Information on this methodology can be found in the MEASURE Evaluation PEPFAR Monitoring, Evaluation, and Reporting (MER) Supplement, located at http://www.cpc.unc.edu/measure/our-work/ovc/ovc-program-evaluation-tool-kit. The survey will involve collecting data from approximately 480 households across the following 8 Health Zones in Haut-katanga Province: Kamalonondo, Kapemba, Kenya, Lumbumbashi, Rwashi, Sakania, Dilala and Mawanika.

Palladium is seeking a sub-contractor research organization to assist with data collection in Democratic Republic of Congo, data management, and data analysis for this survey. The selected research organization will work in coordination with the Palladium team based in Chapel Hill, North in United States.

The period of performance is September 15 2017 – June 31st, 2018.
Qualified candidate organizations will have:

  • Experience in conducting large household surveys in DRC preferably on topics related to OVC and with the methodologies outlined in the PEPFAR MER Supplement (http://www.cpc.unc.edu/measure/publications/ms-14-90);
  • Skills and experience in research ethics and best practices in child protection in the context of household-level data collection;
  • Ability to recruit and train qualified data collectors;
  • Proven capacity to plan and manage survey operations and logistics
  • Demonstrated knowledge and application of data quality assurance practices;
  • Data management skills and experience including electronic data file preparation for analysis;
  • Survey data analysis expertise;
  • Sound human resource and financial management systems for timekeeping, invoicing, financial forecasting, management and payment of staff for field data collection
  • Ability to work as part of a larger multidisciplinary team and with multiple stakeholders; and
  • Capacity to work under a tight schedule and to meet deadlines.