Evidence map›Paper›PMID 41524786›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026

Post-fracture care and predictors of anti-osteoporotic treatment in Switzerland: a nationwide health claims analysis.

Judith Everts-Graber, Gernot Schmid, HansJörg Häuselmann, Carola Huber, Sven Streit, Willeke Ravensbergen, Stephan Reichenbach, Britta Maurer, Thomas Lehmann, Rafael Pinedo-Villanueva and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Judith Everts-GraberDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Anna-Seiler-Haus, Freiburgstrasse 20, 3010, Bern, Switzerland. judith.everts@hin.ch.ORCID http://orcid.org/0000-0002-8792-8199
Gernot SchmidDepartment of Rheumatology, Lucerne Regional Hospital, Lucerne, Switzerland.
HansJörg HäuselmannZentrum Für Rheuma- Und Knochenerkrankungen, Klinik Im Park, Hirslanden, Zurich, Switzerland.
Carola HuberDepartment of Health Sciences, Helsana Group, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-2469-0435
Sven StreitInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Willeke RavensbergenInstitute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0001-7238-0469
Stephan ReichenbachDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Anna-Seiler-Haus, Freiburgstrasse 20, 3010, Bern, Switzerland.ORCID http://orcid.org/0000-0001-8098-6567
Britta MaurerDepartment of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Anna-Seiler-Haus, Freiburgstrasse 20, 3010, Bern, Switzerland.
Thomas LehmannOsteoRheuma Bern, Bahnhofplatz 1, Bern, Switzerland.
Rafael Pinedo-VillanuevaNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-4723-5128
Sereina M GraberDepartment of Health Sciences, Helsana Group, Zurich, Switzerland.ORCID http://orcid.org/0009-0005-2128-0827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study using Swiss health insurance claims data found that 88% of hip and 77% of vertebral fracture patients did not receive osteoporosis treatment within 6 months post-fracture. PURPOSE: The treatment gap in osteoporosis in Switzerland has previously been estimated at 83% based on T-scores and/or FRAX thresholds. However, real-world data on treatment rates following fractures remain limited. This study analysed treatment rates and their predictors in hospitalised patients aged ≥ 50 years with recent vertebral, hip or other fractures and the associated direct economic burden.

methodsThis retrospective cohort study utilised claims data from the largest Swiss health insurance provider. The incidence of vertebral, hip and other fractures was assessed by age and sex, and treatment rates and predictors of anti-osteoporotic therapies at 12 months post-fracture were analysed. Additionally, hospitalisation duration, associated costs and care trajectories (nursing home placement, rehabilitation, home care services) were described for each fracture site, as well as mortality within 12 and 24 months post-fracture.

resultsFrom 2021 to 2023, there were 2458 vertebral, 6229 hip and 11,314 non-hip, non-vertebral fractures (59%, 70% and 74% in women, respectively). Inpatient rehabilitation was required in 8-11% of cases, and 18-21% of patients newly transitioned to nursing home placement within 3 months post-fracture. DXA scans were performed within 12 months in 10% of hip and 21% of vertebral fracture patients and represented the strongest predictor of treatment initiation (odds ratio 10.2, 9.1-11.5), with female sex, older age and greater comorbidity showing weaker effects. Treatment rates within 6 months post-fracture were 11.7% for hip fractures (including 5.0% denosumab, 2.6% zoledronate, 2.1% alendronate), 23% for vertebral fractures (including 9.4% denosumab, 4.7% zoledronate, 3.6% ibandronate, 2.7% anabolic agents) and 12.5% for other fractures, with 8%, 13% and 11% of patients, respectively, already receiving osteoporosis therapy prior to the fracture.

conclusionOsteoporosis treatment rates after hip and vertebral fractures were low, with 88% and 77% of patients, respectively, not receiving treatment within 6 months. DXA scans, specialist consultations and comorbidity burden were the strongest predictors of post-fracture treatment, highlighting key patient- and system-level factors that could guide interventions to close the treatment gap.

Indexed as

Bone Density Conservation AgentsOsteoporosisOsteoporotic FracturesAgedAged, 80 and overAge DistributionFemaleHealth Care CostsHip FracturesHospitalizationHumansInsurance Claim ReviewMaleMiddle AgedRetrospective StudiesSpinal FracturesBone Density Conservation AgentsFracturesHealth careOsteoporosisTreatmentTreatment gap

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.