BACKGROUND
Osteoporosis (OS) is a disease that affects many women in the country of Saudi Arabia. It can be detected and treated with proper intervention. Most studies' predictor analysis of current health conditions in regards to bone requires patients’ comprehensive data. Burdening patients with cost and exposing them to more medical procedures could be prevented with proactive intervention. Simple prediction, easy, and accessible tool needed for increasing women’s awareness of osteoporosis.
OBJECTIVE
The main aims of the presented work are increasing Saudi women's awareness of osteoporosis and improving their daily habits for preventing OS. For the first purpose, a tool was designed, developed, and evaluated as a prediction tool called OSPreKnow (Osteoporosis Pre-Know). OSPreKnow was designed to give an estimate of the possibility to have OS with current user data entered. The new concept of self-profiling is based on a programmed prediction algorithm in OS.
METHODS
The utility of OSPreKnow evaluated with designed science research. In our paper, the efficacy of OSPreKnow is explained for elevating knowledge about OS. A prediction tool is designed and implemented to gather input from 992 women. Knowledge and perception were measured to capture the tool’s impact.
RESULTS
Out of 992 who used the tool, 646 completed the post-tool survey and exhibited a significant satisfaction with the tool (69%) and level of knowledge after using the tool (74%). 480 reported more knowledge about OS which is 74% of respondents. This provided evidence of the usefulness of a prediction tool in levitation consciousness about Osteoporosis.
CONCLUSIONS
The presented work supplements the evidence base that an accessible prediction tool can help in raising disease awareness. In conjunction with knowledge provided by a medical doctor, OSPreKnow has beneficial impacts on improving the habits of women with risks of OS.
CLINICALTRIAL
Princess Nourah bint Abdulrahman University (Institutional Review Board [IRB] number 21-0265)