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    Strengthening Diabetes Treatment for Children in Africa

    4min
    Janine Stephen
    Published on August 30, 2018
    The International Diabetes Federation (IDF) estimates that 7 in 10 cases of diabetes in sub Saharan Africa go undiagnosed.

    Access to life-saving diabetes resources

    Diabetes can be a silent killer.

    Vital HbA1c tests

    Graham Ogle, MD, of the International Diabetes Federation’s Life for a Child (LFAC) program.

    With POC testing, the result is available in six minutes. You can have a discussion on the spot and educate the family.

    Graham Ogle, MD, of the International Diabetes Federation’s Life for a Child (LFAC) program.
    Many children with type 1 diabetes in Africa are misdiagnosed. Child diabetes treatment with the HbA1c test is vital in combating the disease.

    Guidelines for less-resourced medical staff

    Many children with type 1 diabetes in Africa are misdiagnosed. Which is why the HbA1c test is vital in combating the disease.

    Diabetes patients take control

    By Janine Stephen
    Based in South Africa, Janine Stephen is an award-winning journalist whose work has appeared in international and local publications such as South Africa’s The Sunday Times. Healthcare is one of her focus areas.

    1. http://www.who.int/features/2014/kenya-rising-diabetes/en/

    2. http://www.diabetesatlas.org/ (Eighth edition, 2017)

    3. http://www.diabetesatlas.org/ (Eighth edition, 2017)

    4. https://www.ncbi.nlm.nih.gov/pubmed/27472257

    5. https://lifeforachild.org/about/education-resources.html

    6. https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwicjPOd0bnbAhUIJ8AKHSXpCuIQFggoMAA&url=https%3A%2F%2Fwww.lifeforachild.org%2Fcomponent%2Fattachments%2Fattachments.html%3Ftask%3Ddownload%26id%3D1341&usg=AOvVaw2kEDl_22cbX7HV7coxrd7X

    7. https://www.ncbi.nlm.nih.gov/pubmed/25458328

    1. The statements by Siemens Healthineers customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.