Introduction: Falls are among the most common and costly problems in community-dwelling older adults and lead to prolonged hospitalizations, disability, dependency, and increased health-care costs. Despite the existence of multiple fall risk prediction tools at the international level, there is no unified, structured protocol for regular fall risk screening in Iran’s primary health care network. This policy brief was developed to synthesize the evidence and propose an appropriate model for establishing structured fall risk screening among community-dwelling older adults.
Methods: This study adopted a rapid policy review approach. A targeted search of scientific databases and policy documents was performed to identify appropriate tools for assessing fall risk in community-dwelling older adults. Selection criteria included simplicity and speed of administration, minimal need for equipment and training, evidence of validity and reliability, feasibility of integration into primary care, and the possibility of documentation in electronic health records. In addition, data and field experience from a community-based quasi-experimental study registered in the UMIN system were used to analyses implementation outcomes.
Results: Tools such as the FRAIL scale, the Timed Up and Go (TUG) test, the Berg Balance Scale, and questionnaires such as FRAT and JH-FRAT were identified. Although more complex tools may offer higher accuracy, their routine use in primary care settings is challenging due to time and workforce constraints. Based on operational requirements and real-world implementation experience, the combined use of the FRAIL scale and the Timed Up and Go (TUG) test emerged as the most practical option for routine fall risk screening in Iran’s primary health care infrastructure. 
Conclusions: To establish a structured fall risk screening system in primary care, it is recommended that the Ministry of Health integrate the combined use of the FRAIL scale and TUG test into elderly care guidelines and protocols, provide brief and focused training for health-care staff, and monitor the regular recording of results in electronic health records as a performance indicator.