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Pinpointing clinical phenotypes ‐ Is there evidence to support the use of a simple scoring system to define a milder bleeding phenotype in severe haemophilia A?

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3. Khair K, Holland M. Managing hemophilia: the role of mobile technology. Smart Homecare Technol Telehealth. 2014;2:39-44. 4. Franchini M. The modern treatment of haemophilia: a narrative review. Blood Transfus.… Click to show full abstract

3. Khair K, Holland M. Managing hemophilia: the role of mobile technology. Smart Homecare Technol Telehealth. 2014;2:39-44. 4. Franchini M. The modern treatment of haemophilia: a narrative review. Blood Transfus. 2013;11:178–182. 5. Jahns RG, Houck P. Mobile health market report 2013; 2013-2017. https:// research2guidance.com/wp-content/uploads/2015/08/Mobile-HealthMarket-Report-2013-2017-Preview.pdf. Accessed October 10, 2016. 6. Guo X, Zhang X, Sun Y. The privacy–personalization paradox in mHealth services acceptance of different age groups. Electron Commer Res Appl. 2016;16:55-65. 7. Athale A, Giguere A, Barbara A, Krassova S, Iorio A. Developing a twosided intervention to facilitate shared decisionmaking in haemophilia: decision boxes for clinicians and patient decision aids for patients. Haemophilia. 2014;20:800-806.

Keywords: phenotypes evidence; clinical phenotypes; haemophilia pinpointing; support use; evidence support; pinpointing clinical

Journal Title: Haemophilia
Year Published: 2017

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