Evidence map›Paper›PMID 41689217›Full record

ArticleBMJ open2026

Disability severity transitions in the community-dwelling Swiss ageing population: secondary analysis of the Swiss version of the Survey of Health, Ageing and Retirement in Europe (SHARE) using multistate models.

Jsabel Hodel, Yannick Rothacher, Beatriz Moreira, Carolina Fellinghauer, Diana Pacheco Barzallo, David Weisstanner, Cristina Ehrmann, Carla Sabariego

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jsabel HodelSwiss Paraplegic Research, Nottwil, Switzerland jsabel.hodel@paraplegie.ch.ORCID http://orcid.org/0000-0001-9554-2950
Yannick RothacherSwiss Paraplegic Research, Nottwil, Switzerland.
Beatriz MoreiraFaculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
Carolina FellinghauerSwiss Paraplegic Research, Nottwil, Switzerland.
Diana Pacheco BarzalloSwiss Paraplegic Research, Nottwil, Switzerland.
David WeisstannerFaculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
Cristina EhrmannSwiss Paraplegic Research, Nottwil, Switzerland.
Carla SabariegoSwiss Paraplegic Research, Nottwil, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe disability severity transitions in the ageing population in Switzerland using an overall functioning score to define four disability severity states (no, mild, moderate and severe) and death, and to investigate the association of multimorbidity and further predictors with these transitions.

designSecondary analysis of the Swiss version of the Survey of Health, Ageing and Retirement in Europe (SHARE).

settingSwitzerland.

participantsCommunity-dwelling population aged 50+ with at least two interviews in SHARE (N=3505).

interventionsNot applicable. MAIN OUTCOME MEASURES AND

methodsPrimary outcome measures are the disability severity as assessed by a previously developed overall functioning score, and death status as assessed by the SHARE end-of-life interview. Transition analysis between disability severity states and death was conducted using multistate Markov models. The association between predictor variables and transition intensities was quantified using the proportional hazards assumption. Two distinct operationalisations of multimorbidity (count, burden) were used and analysed according to two separate models (A, B).

resultsThe findings for both models were similar: Estimated HRs for transition intensities suggest that being multimorbid or having a higher disease burden score increases the risk of transitioning to higher disability severity states and death for most transitions (HRs between 0.90 and 2.34 for model A compared with not being multimorbid; HRs between 0.95 and 1.46 for model B for a one-point increase in the disease burden score). In addition, most transitions to higher disability severity states and death are more likely for higher age (HRs between 1.00 and 1.14 for model A, and between 1.00 and 1.15 for model B for a 1 year increase in age), and transitions to death are less likely for women, compared with men (HRs between 0.34 and 0.88 for model A, and between 0.38 and 0.71 for model B).

conclusionsThis study is a first attempt to understand disability severity transitions in the older population in Switzerland. Although we believe that such an approach is suitable to inform resource allocation to LTC, rehabilitation and prevention, more detailed information on contextual factors will be important to consider for future research. Moreover, our study contributes to the discussion on how to operationalise multimorbidity in healthy ageing research.

Indexed as

AgingDisability EvaluationIndependent LivingPersons with DisabilitiesAgedAged, 80 and overAging in PlaceFemaleHealth SurveysHumansMaleMarkov ChainsMiddle AgedMultimorbidityProportional Hazards ModelsSecondary Data AnalysisAgedAged, 80 and overFollow-Up StudiesMultimorbidity

Identifiers

PMID41689217
PMCPMC12911770

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.