Assessment of Knowledge of Adolescents with Thalassemia Major Regarding Iron Chelating Therapy
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 11)Publication Date: 2017-11-05
Authors : Sarah Kadhim Shareef; Khamees B. Obaid;
Page : 625-627
Keywords : Adolescents Knowledge; Thalassemia Major; Chelating Therapy;
Abstract
Thalassemia is a genetic blood disease worldwide that is often treated with life-long blood transfusions. Typically every24 weeks, this leads to progressive iron overload. Iron chelation therapy is prescribed to manage the transfusional iron overload and attempt to prevent progressive organ failure (heart, endocrine, liver). This study aims to assess the knowledge of adolescents with thalassemia major regarding iron chelating therapy. A descriptive design is used in this study that carried out at Hereditary Blood Disease Center in Al- Nasiriya city, a convenience non-probability sample of (50) patients of adolescence age (12-18) years old who met the criteria of selection, who attend to hereditary blood disease center, were recruited to participate in this study. Data are collected through the use of a questionnaire tool by direct interview a technique which is used as a means of data collection. The results reveals that the adolescents knowledge is ranging from poor knowledge 48 %, fair 46 % and good knowledge 6 %. Conclusions of the study indicate that patients need for systematic education to improve knowledge about thalassemia and iron chelating therapy.
Other Latest Articles
- The use of Aeromagnetic Data Interpretation to Characterize the Features in the Mamfe Sedimentary Basin Cameroon and a Part of the East of Nigeria
- Application of Alternative Method for the Detection of Failures in Rotodynamic Systems
- Appraisal of Staff Perception toward Restored Endodontic Treated Teeth at Selected Dental Clinics, Saudi Arabia
- Impact of Integrated Watershed Management Practices on Sustainable Rural Livelihoods of the People of Rwanda: A Case Study of Mwange Watershed in Gicumbi District
- Applying Genetic Algorithms for Profit Manufacturing Model with Capacity Constraints of Each Production Process
Last modified: 2021-06-30 20:02:28