Comparison of the Effectiveness of a Web Fracture Liaison Service (e_FLS) to Fracture Liaison Services in France: the evAB Study (evAB)

NCT ID: NCT05303350

Last Updated: 2025-11-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

WITHDRAWN

Study Classification

OBSERVATIONAL

Study Start Date

2024-02-29

Study Completion Date

2025-07-31

Brief Summary

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The purpose of this study is to compare web FLS model (e\_FLS) to conventional FLS in terms of increasing the proportion of patients receiving an antiosteoporotic treatment in the year after a low trauma fracture.

Detailed Description

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Osteoporotic fractures such as hip fractures and severe fractures are associated with increased morbidity and mortality and impose a large financial burden on healthcare systems. Patients with osteoporosis-related fractures are at higher risk of subsequent fractures. Other severe fractures (pelvis, vertebrae, humerus) have similar consequences, pelvis. The risk of refracture after fracture depends on the time: it is 5 times higher in the first 2-3 years, and 2 times higher after. This notion of Imminent Fracture Risk is the basis for the development of post-fracture care pathways called "fracture liaison. The implementation of FLS is the most effective way to reduce the risk of secondary fracture. Despite their success, FLS programs are not an integral part of post-fracture care throughout the France. The investigators believe that the barriers to the implementation of such a pathway are multiple and are largely related to the lack of accessibility for patients to FLS, and to the mobilization of important and unsustainable human resources. Some French public hospitals or institutions are currently building some e\_FLS models based on an automatic detection of patients with fractures, and a on a cloud-based system where practitioners across the health care sector can communicate and jointly manage osteoporotic patients. The investigators' hypothesis is that this web FLS (e\_FLS) is at least as effective as the classical FLS for the secondary fracture prevention.

The objective of the investigators' study is to compare web FLS model (e\_FLS) to conventional FLS in terms of increasing the proportion of patients receiving an antiosteoporotic treatment in the year after a low trauma fracture (evAB project).

Conditions

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Osteoporosis Fracture

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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e_FLS

Patients detected by an automated patient detection tool with a web-based platform

No interventions assigned to this group

FLS

Control group / Conventional group : Patients followed in a conventional fracture liaison department

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Men and women aged above 60 years, living in France, with fragility fractures in response to low-energy trauma (e.g., a fall from standing height).
* The patient or his legal representative does not object to the patient's participation in the research Note: Patients in guardianship or curatorship can be included in this protocol

Exclusion Criteria

* Pathological fractures, high trauma fractures and per prosthetic fractures.
* Non registration with a social security scheme (holder or beneficiary).
Minimum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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French Society of Rheumatology

OTHER

Sponsor Role collaborator

URC-CIC Paris Descartes Necker Cochin

OTHER

Sponsor Role collaborator

Assistance Publique - Hôpitaux de Paris

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Karine BRIOT, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

APHP

Locations

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Cochin Hospital, Rheumatology Department

Paris, , France

Site Status

Countries

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France

Other Identifiers

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2022-A00553-40

Identifier Type: OTHER

Identifier Source: secondary_id

APHP211339

Identifier Type: -

Identifier Source: org_study_id

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