Established in 2003, Malaria Consortium is one of the world’s leading non-profit organisations specialising in the prevention, control and treatment of malaria and other communicable diseases among vulnerable populations. Our mission is to save lives and improve health in Africa and Asia, through evidence-based programmes that combat targeted diseases and promote universal health coverage.
The purpose of this ToR is to engage research personnel that will carry out data collection, analysis and interpretation for EoR evaluation based on LQAS approach.
The consultant and the supervisor will train data collectors and oversee data collection processes while other personnel will carry out the actual data collection using an electronic platform.
Scope:
This ToR is to provide details for EoR evaluation that will be conducted in the states where Malaria Consortium is implementing MDA-AZM (Kaduna, Kebbi, Jigawa, Adamawa and Gombe).
The process will involve identification, selection and training of supervisors at training of trainers (ToT) and subsequently, data collectors in the states. It will also involve data collection, analysis and report writing.
Methodology:
The aim of the EoR evaluation is to assess AZM coverage and adherence of community drug distributors (CDDs) to the treatment protocol immediately and not more than 5 days after each round of treatment. The findings will be analyzed and any ward (lot) scoring less than 80% will be targeted for corrective measures around poor performance, for improvement in subsequent rounds.
Specific Activities for the personnel:
Attend a 2-day physical training that will be facilitated by the National consultants.
In conjunction with the State consultant, supervisors, facilitate training of data collectors using adult learning approaches of facilitations (discussions, role plays, demonstrations, and simulations).
Provide supportive supervision for data collectors using appropriate supervision checklists.
Oversee data collection processes, including logistics and community entry and mobilization.
Conduct real-time field validation and troubleshooting Kobo collect/SurveyCTO data uploads.
Compile and submit a report on the data collection process, outlining the best practices, the lessons learnt, challenges, achievements, and recommendations. Each supervisor will write reports for their supervision areas and the State Consultant will collate and write a consolidated report for the whole exercise for the state.
Deliverables for Cluster supervisors:
Develop and submit:
A comprehensive Supervision Schedule aligned with LGA operational plans.
A Supervision Process Report, documenting:
Field successes and best practices.
Operational challenges and mitigation strategies.
Recommendations for future evaluations.
Profile Requirements
A minimum of Degree (BSc / HND) in Social Sciences and Health related discipline.
Minimum of 3 years’ experience in conducting public health research, particularly data collection.
Experience in the use of modern technology in research – use of phone for data collection.
Previous experience doing LQAS survey is an added advantage.
Ability to speak local language
Familiarity with and respect for the tradition and culture of the locality.
Familiarity with terrain of the locality.
Ability to give attention to details.
Must not be a staff of the Government at any level
Must not be part of MDA-AZM personnel in whatever capacity (national, state, LGA, HFW, CHW, TA).
Must not be blacklisted during the previous activities.
For this position, previous working experience with MC and in SMC are added advantages.
Kindly note that applicants who do not follow this specification will be disqualified.
Only Shortlisted candidates will be contacted.
Kindly note that applications will be reviewed on a rolling basis, and as a result, the process may conclude before the advertised deadline. Therefore, early applications are highly encouraged.
NB: Malaria Consortium does not accept or ask for payment during recruitment. We also would not accept hardcopy CVs; all applications should be sent through the above link.