Exploring Population Characteristics and Recruitment Challenges in Older People Experiencing Falls at Home without Hospitalization or with an Emergency Department Visit: Insights from the RISING-DOM Experience

Wafa Bouzid,1,2 Neda Tavassoli,1 Caroline Berbon,1 Soraya Qassemi,1 Sandrine Vaysset,1 Magali Poly,1 Vincent Bounes,3 Jason Shourick,4,5 Fati Nourhashémi1,5 1Geriatric Medicine Unit (Gérontopole), University of Toulouse Hospital Center, Toulouse, France; 2Regional Health Agency of Occitanie, Toulouse, 31000, France; 3Emergency Medicine Unit, University of Toulouse Hospital Center, Toulouse, France; 4Research Methodology Support Unit (USMR), Clinical Epidemiology and Public Health Department, University of Toulouse Hospital Center, Toulouse, France; 5CERPOP, UMR 1295, INSERM – University of Toulouse III, Toulouse, FranceCorrespondence: Wafa Bouzid, La Cité de la Santé - Équipe Régionale Vieillissement et Prévention de la Dépendance Hôpital La Grave, Place Lange, TSA 60033, Toulouse Cedex 9, 31059, France, Tel +33 5 61 77 83 79, Fax +33 5 61 77 64 75, Email bouzid.w@chu-toulouse.frBackground: An increasing number of falls among community-living older adults are reported in emergency calls. Data on evidence of appropriate fall prevention interventions are limited and challenges in recruiting this population in randomized trials are acknowledged.Purpose: The main aim of this study was to provide demographic data, circumstance and fall-related outcomes of the population in the RISING-DOM study [Impact d’une évaluation des facteurs de RISque de chute et d’une prise en charge personnalisée, sur la mortalité et l’institutionnalisation, après INtervention du SAMU chez la personne âGée à DOMicile], a multicenter, randomized interventional trial involving community-dwelling older adults who have experienced a fall at home and were not hospitalized. Additionally, the challenges of remote recruitment in this population were discussed.Patients and Methods: Participants were identified through the Occitania Emergency Observatory database. Participant recruitment and data collection were performed through telephone interviews (October 2019-March 2022). Additionally, a sample survey of Emergency Medical ...