Background and Aim: Smart health, due to its capacity in disease prevention, is a suitable solution for providing osteoporosis fracture prevention services. Also, the existence of close relationships between active organizations for the prevention of this disease requires this area to be examined from the perspective of the ecosystem. Therefore, the purpose of this study is to identify the factors and players of the ecosystem of preventing fractures caused by osteoporosis in smart health.
Materials and Methods: A qualitative systematic review of meta-synthesis was conducted to find resources related to the prevention of osteoporosis-related fractures. For this purpose, scientific databases of Web of Science, Scopus and PubMed were examined and 155 were selected from 10344 sources found. At the end, by using the Shannon entropy method, the categories of each dimension were ranked.
Results: This systematic review demonstrated that the ecosystem for preventing fractures caused by osteoporosis comprises four main categories of factors: lifestyle (nutrition, exercise, fall prevention, cessation of tobacco, alcohol, and caffeine consumption), clinical (screening, diagnosis, and drug therapy), technological (infrastructure, platform, and application), and contextual (cultural, social participation, policy, economic, and education). The application and infrastructure secured the first and second positions in the ranking, while the platform and education collectively ranked third. Ecosystem participants were also categorized into three core layers: the fracture prevention and treatment team members, firms related to fracture prevention and treatment, and other health stakeholders; the extended layer, which includes affected or at-risk individuals, education stakeholders, cultural stakeholders, social stakeholders, and health stakeholders; and the external layer, comprising international organizations and national ministries. In the ranking, affected or at-risk individuals, other health stakeholders, and fracture prevention and treatment team members earned first to third positions, respectively.
Conclusion: The research results showed that “technological”, “contextual”, “lifestyle change” and “clinical” factors are in the first to fourth places, respectively. Also, among the players, the first place was assigned to the extended layer, the main core took the second place, and the external layer took the third place.
