European geriatric medicine · 2026
Digital mobility outcomes to describe real-world walking during recovery from a hip fracture: the Mobilise-D perspective.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Becker Clemens, Eckert Tobias, Klenk Jochen, Jansen Carl-Philipp, Berge Martin Aursand, Engdal Monika, Vereijken Beatrix, Brenner Niki, Helbostad Jorunn, Saltvedt Ingvild, Johnsen Lars Gunnar, Blain Hubert, Driss Valerie, Solberg Lene Bergendal, Strøm Trine, Caulfield Brian, Singleton David, Garcia-Aymerich Judith, Delgado-Ortiz Laura, Koch Sarah, Buekers Joren, Alvarez Paula, Miller Ram, Rooks Daniel, Rochester Lynn, Del Din Silvia, Cereatti Andrea, Marcuzzi Anna
Аннотация
PURPOSE: The burden of disease caused by fragility fractures, and hip fractures in particular, is significant both from a personal and a societal perspective. Digital technologies such as wearable devices now allow a real-world assessment of walking and physical mobility, describing temporal and spatial measures. Built on a transparent technical validation, the Mobilise-D consortium validated a set of digital mobility outcomes (DMOs) alongside a longitudinal clinical validation study (CVS). This article provides a description of DMOs along with supervised mobility assessment and patient-reported outcomes collected at entry of the CVS study in a sample of home-dwelling participants with a proximal femoral fracture (PFF) recruited within 1 year after surgery.
METHODS: Participants who underwent surgical treatment for a low-energy PFF were recruited from five sites in three high-income European countries. The first visit encompassed a clinical assessment (~ 3 h) and subsequent 7-day measurement of real-world mobility with a single wearable device. We categorized participants into four recovery phases according to the assessment time after surgery: acute phase (≤ 14 days after surgery, hospital stay), post-acute phase (15-42 days after surgery, mostly rehabilitation), extended recovery phase (43-182 days post-surgery, typically post-discharge at home), and long-term recovery phase (183-365 days post-surgery). All variables were reported descriptively for each phase using mean and standard deviation or median and 25th-75th percentile depending on their distribution.
RESULTS: We enrolled 564 PFF participants (66% women). The mean age was 77.5 (SD 9.6) years. Almost 90% of all participants (n = 505) had a valid digital mobility assessment (wear time of > 12 h per day and at least 3 valid days). DMO domains such as amount (e.g., number of steps), pace (e.g., walking speed), and pattern (bout distribution) demonstrated large differences across phases.
CONCLUSIONS: The observed variation in walking amount and pace and pattern across recovery phases indicate that DMOs provide a granular analysis of real-world mobility of hip fracture survivors. When confirmed by longitudinal analyses, including results on minimal important differences, the use of selected DMOs will provide a novel approach for monitoring, predictive modelling, prognosis, stratification, and evaluation of clinical trials and hip fracture services.
METHODS: Participants who underwent surgical treatment for a low-energy PFF were recruited from five sites in three high-income European countries. The first visit encompassed a clinical assessment (~ 3 h) and subsequent 7-day measurement of real-world mobility with a single wearable device. We categorized participants into four recovery phases according to the assessment time after surgery: acute phase (≤ 14 days after surgery, hospital stay), post-acute phase (15-42 days after surgery, mostly rehabilitation), extended recovery phase (43-182 days post-surgery, typically post-discharge at home), and long-term recovery phase (183-365 days post-surgery). All variables were reported descriptively for each phase using mean and standard deviation or median and 25th-75th percentile depending on their distribution.
RESULTS: We enrolled 564 PFF participants (66% women). The mean age was 77.5 (SD 9.6) years. Almost 90% of all participants (n = 505) had a valid digital mobility assessment (wear time of > 12 h per day and at least 3 valid days). DMO domains such as amount (e.g., number of steps), pace (e.g., walking speed), and pattern (bout distribution) demonstrated large differences across phases.
CONCLUSIONS: The observed variation in walking amount and pace and pattern across recovery phases indicate that DMOs provide a granular analysis of real-world mobility of hip fracture survivors. When confirmed by longitudinal analyses, including results on minimal important differences, the use of selected DMOs will provide a novel approach for monitoring, predictive modelling, prognosis, stratification, and evaluation of clinical trials and hip fracture services.