Evidence map›Paper›PMID 41483396›Full record

ArticleEuropean geriatric medicine2026

Digital mobility outcomes to describe real-world walking during recovery from a hip fracture: the Mobilise-D perspective.

Clemens Becker, Tobias Eckert, Jochen Klenk, Carl-Philipp Jansen, Martin Aursand Berge, Monika Engdal, Beatrix Vereijken, Niki Brenner, Jorunn Helbostad, Ingvild Saltvedt and 18 more

Abstract readMulticenter Study
In one paragraph

Article in European geriatric medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Clemens BeckerGeriatric Center, Medical Faculty Heidelberg, Heidelberg University, Unit Digitale Geriatrie, UKHD, Heidelberg, Germany. Clemens.becker@med.uni-heidelberg.de.ORCID 0000-0003-1624-8353
Tobias EckertGeriatric Center, Medical Faculty Heidelberg, Heidelberg University, Unit Digitale Geriatrie, UKHD, Heidelberg, Germany.
Jochen KlenkRobert Bosch Gesellschaft Für Medizinische Forschung mbH, Stuttgart, Germany.
Carl-Philipp JansenGeriatric Center, Medical Faculty Heidelberg, Heidelberg University, Unit Digitale Geriatrie, UKHD, Heidelberg, Germany.
Martin Aursand BergeDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Monika EngdalDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Niki BrennerRobert Bosch Gesellschaft Für Medizinische Forschung mbH, Stuttgart, Germany.
Jorunn HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Ingvild SaltvedtDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Lars Gunnar JohnsenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Hubert BlainCentre d'Investigation Clinique, CHU Montpellier, Montpellier, France.
Valerie DrissCentre d'Investigation Clinique, CHU Montpellier, Montpellier, France.
Lene Bergendal SolbergDivision of Orthopaedic Surgery, Oslo University Hospital, Oslo, Norway.
Trine StrømDivision of Orthopaedic Surgery, Oslo University Hospital, Oslo, Norway.
Brian CaulfieldInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
David SingletonInsight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
Judith Garcia-AymerichBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Laura Delgado-OrtizBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Sarah KochBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Joren BuekersBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Paula AlvarezBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Ram MillerTranslational Medicine, Biomedical Research, Novartis, Cambridge, MA, USA.
Daniel RooksNovartis Pharmaceuticals, Cambridge, MA, USA.
Lynn RochesterTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Silvia Del DinTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Andrea CereattiDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Anna MarcuzziDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Funding

Innovative Medicines Initiative 820820
6 · The paper itself

Abstract

purposeThe 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.

methodsParticipants 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

Hip FracturesRecovery of FunctionWalkingWearable Electronic DevicesAgedAged, 80 and overFemaleHumansLongitudinal StudiesMalePatient Reported Outcome MeasuresDigital mobility outcomeHip fractureWalkingWearable device

Identifiers

PMID41483396
PMCPMC12945895

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.