African Medical and Research Foundation (AMREF)
Data Mining and Analysis - Terms of Reference
The African Medical and Research Foundation (AMREF) is an international organisation headquartered in Nairobi, Kenya with programmes in South Africa, South Sudan, Ethiopia, Kenya, Tanzania, Uganda and Senegal. It provides high-quality and affordable health care to those who need it most. Working closely with African communities and governments, AMREF ensures that its health projects are relevant and sustainable.
In the period October 2008 to July 2011, AMREF South Africa developed, implemented and tested a replicable approach to integrate health systems and the c-IMCI approach to improve child survival in the Sekhukhune district of Limpopo Province in South Africa. The specific objective was to reduce incidence of childhood illnesses among children 0-5 years old. Three strategic approaches were applied:
- Partnerships with Communities for Better Health
AMREF’s work was to create and facilitate community movements that ensure that the marginalized groups and vulnerable become an integral part of a responsive health system as well as harnessing community resources for improved child health service delivery.
- Building Capacity for Strengthened Communities and Health System Responsiveness
Under this pillar, AMREF’s aim was to enhance the organisational and technical capacity of the Department of Health (DOH), community-based organisations (CBOs) and various groups of community care workers to improve the quality of care to respond to child health needs in the community through focusing on:
- Health management information systems at both informal and formal health sector levels;
- Improving the skills of health workers and especially those of community care workers;
- Organisational development in health-related civil society organisations (CSO).
- Health Systems Research for Policy and Practice
In this approach, AMREF sought to generate knowledge, addressing issues raised through the previous two interrelated areas to develop credible evidence that can influence policies and practices to improve the community approach to IMCI.
- Outcome of the External Evaluation
In April of 2011, UBS Optimus Foundation commissioned an external evaluation of the project in order to critically review the project goals and achievements. Although the summary of findings showed that there were both significant achievements and challenges (gaps) in the pilot intervention. Both AMREF and UBS felt that there was lack of demonstrable evidence on the means of measuring the impact of the project’s intervention for example,
- The extent to which project reports on findings and recommendations were handed over to Government and other stakeholders to contribute to policy and practice;
- The magnitude of reduction in the incidence of most prevalent childhood illnesses among children under five years of age;
- The level of increase in coverage for critical IMCI services;
- The proportion of families of children under the age of 5 adhering to preventive and curative practices to promote child health;
- Proportion of health facilities implementing c-IMCI;
- Level of integration of IMCI with Education and Child Protection initiatives;
- Objective of Assignment
We seek a consultant to help us carry out a data mining and analysis assignment. The focus of the assignment is to conduct a comprehensive and coherent analysis of the results / data collected by the project as well as developing a dissemination strategy to leverage the results of the assignment to key stakeholders. The consultant should focus on KEY indicators that are relevant to advance the field of c-IMCI and policy.
- Assignment Details
Specifically, the consultant will mine and analyse data that is coming from a wide range of sources:
- Narrative reports (baseline survey, operations research report and summary report on case studies that were done by health facilities and CBOs that were participating in the IMCI project)
- Summary of descriptive statistics for the Mid Term Review generated through an SPSS statistical package on the same
- Indicators that were assessed at baseline and midterm review:
- Hand washing;
- Pneumonia care-seeking;
- Care-seeking for diarrhoea;
- Integrated management of childhood illnesses (IMCI);
- Child immunisation, breastfeeding and nutrition;
- Child spacing.
NB* The raw data sets from the baseline and MTR that were used to generate the descriptive statistics mentioned in "4.iii" above, will be made available to the consultant.
- External Evaluator's end of project report;
- Sub District health statistical reports for the same baseline and end of project on 8 common childhood illnesses indicators;
- Project annual reports.
- Time Frame
Consultant will have 30 working days from commencement of assignment to deliver the final product. The ideal time frame should include all relevant travel logistics such as field visits if necessary.
- Final Deliverables
The final deliverable should comprise of:
- A clear assessment of the relative value or impact of the project (clear logic model or theory of change);
- A policy briefing paper and presentation to policymakers within the Limpopo provincial Government’s Department of Health and related departments;
- Recommendations for a monitoring & evaluation (M&E) strategy and plan that will help to design, implement, monitor and track similar projects in the future;
- A framework for a publishable scientific article that can be published in a peer reviewed journal.
- Work Plan and Timeline
- If interested, please send a proposal with a detailed description of your approach to this assignment that should include a detailed work plan with deliverables, a budget and the CV of the applicant(s) by 27 March 2014;
- NB* South African based consultants who meet the criteria will be given preference although due consideration will be given to applicants from outside if they put forward a compelling proposal and demonstrate outstanding capacity and expertise to carry out the assignment;
- Applications and proposals should be sent to the following email address: email@example.com.