| Abstract [eng] |
The growing average life expectancy of the population is a common phenomenon in developing and developed countries, which is determined by the decreasing birth rate, increasing life expectancy and the improvement of the medical sector. According to the data of the International USA Database, in 2014 there were 17.3% of persons over 65 years of age, it is predicted that in 2050 their percentage will increase to 26.5%. It is believed that in 2045 the number of older persons will exceed the number of minors worldwide for the first time. As the population ages, the health sector is under enormous strain. Ways to make the work of this sector more efficient are being sought (Hsieh, 2016). With advances in science and technology, recent evidence shows that information and communication technologies (ICTs) have brought enormous changes to the traditional health care delivery environment over the past few years. Studies have shown that telemedicine is gradually becoming the most prominent ICT service with a significant impact on the traditional healthcare service mechanism. All over the world, telemedicine services increase the efficiency of doctors, reduce the cost of treatment and improve the availability of healthcare services. Telemedicine services allow health care professionals to monitor, diagnose and offer medical treatment, even when there is a long distance between the doctor and the patient (Ayesha, 2020). However, new technologies are often viewed with skepticism by elderly potential subjects of telemedicine services, and the scientific literature lacks research on the readiness of elderly people in conditions of environmental uncertainty to engage in intelligent, algorithmized solutions for monitoring their body's physiological parameters. In this context, the purpose of the planned study is, based on the Theory of Planned Behavior (Fishbein and Ajzen, 1975) and the Technology Acceptance Model (Davis, 1986), to evaluate the influence of technology acceptance factors on the purchase and use of wearable intelligent telemedicine devices by an elderly consumer under the condition of uncertainty avoidance. The research will be implemented by conducting a targeted survey of older persons - a quantitative study, and correlation, regression and moderation analyzes are used for data analysis. |
