SCI collaborated with Niger's Ministry of Health to provide training in data cleaning and analysis, to ensure treatment programmes perform optimally.
Data gathered by countries during surveys to assess the numbers of individuals treated and those who remain infected, help to inform the Ministry of Health’s treatment strategy and determine the success and impact of treatment programmes.
Skills in survey data cleaning and analysis are therefore crucial to being able to establish the success of the programme. SCI are working with the Ministries of Health, and their partners, to train key members of staff, to ensure data gathered is as of high quality, is informative as possible and that there is capacity within country to use it.
Involving programme partners in the data cleaning and analysis process helps the partners to understand the results generated by the biostatisticians at SCI. In addition, it also enables the programme partners to translate the information, develop recommendations and create actions to develop and improve the effectiveness and efficiency of their national treatment strategy.
This was the first data cleaning and analysis training course delivered for the treatment programme in Niger, with the help of SCI’s Biostatistician Udo Wittman and the national programme coordinator, Dr Gnandou Issa. It was a great success, with one trainee saying in the feedback questionnaire: “Before the training, I had difficulty entering data after an investigation, but now can enter the data without a problem.”
Mousumi Rahman, SCI’s Programme Manager for Niger and the Democratic Republic of the Congo says: “We greatly enjoyed working with the team in Niger to understand their training needs and hope to offer additional coverage and impact survey statistical training in future. Through training, we feel that our programme partners in Niger will have all the necessary skills to manage all aspects of the treatment programme in the longer-term and so achieve complete programmatic sustainability.”
Article text (excluding photos or graphics) available under an Attribution-NonCommercial-ShareAlike Creative Commons license.
Photos and graphics subject to third party copyright used with permission or © Imperial College London.