LAUSR

Introduction. Mobile apps are considered intelligent tools useful in various areas of public health. The social dimension of breast cancer and the current epidemic situation require tools that may increase knowledge and improve the skills in the field of breast self-examination. The study aims to assess the use of personalized education based on algorithms with conditions in the mobile medical app for breast self-examination. Materials and methods. In total, 500 women from the Podkarpackie Province were enrolled in the study, which was a representative group for the inhabitants of this province. The subjects were randomly divided into two groups (group I: the study group including 250 people; group II: the controls of 250 people). The study group was subjected to intervention, which was personalized education on breast cancer. The method was a proprietary mobile medical app based on algorithms with conditions. The study was carried out from March 2018 to February 2019. Results. The majority of women, 77.8% (N = 389), were under 30 years of age. Only a small amount of the breast area was marked in the tactile test in both groups. In the study group, the average number of selected points was 14.86 (7.43% of the area to be examined), while in the control group it amounted to 9.14 (4.57%). The area most commonly examined in Test I in both groups was the central area of the mammary gland with the nipple. After the intervention in Test II, women from the study group marked a significantly greater area in the tactile test than women from the control group (χ2 = 99.733; df = 6; p < 0.0001). The mean result in the study group was 22.10, while in the control group it amounted to 9.10. It was found that the breast area marked in both tests depended solely on the women’s knowledge about breast cancer (p < 0.001). It was also found that the higher the risk of developing breast cancer, the more points in Test I were indicated by the women in the tactile test (p = 0.0122). Conclusions. Educational mobile medical apps for breast cancer prevention may help to deal with breast cancer, which is an important public health issue. It is also important to broaden the possibilities of medical apps for breast self-examination with elements verifying the skills of the three-stage compression of the examined breast.