Abstract
The study examined the influence of REDCap in improving the quality of data in sickle cell medical research program. The study used descriptive research design whereas both qualitative and quantitative approaches were used where a cross-sectional design was employed to collect information at one time in particular point. A total of 52 questionnaires with closed-ended questions were distributed. Primary data were collected through survey and in-depth interviews. Data were analyzed by using SPSS which simplified process of data analysis; the program identified the position of the variables and multiple regression analysis. The study found that there is effectiveness of REDCap in improving the quality of data in sickle cell medical research program in the sense that REDCap has effectively facilitated the collection of all necessary variables and essential information for research purposes. The study concluded that REDCap plays a significant role in improving the overall data quality in the context of sickle cell medical research programs. The study suggests that stringent quality control procedures should be implemented to ensure the accuracy and reliability of data input into the REDCap system. This recommendation underscores the importance of maintaining high standards in data management processes to enhance the credibility and validity of research outcomes in the field of sickle cell medical research.