Evidence map›Paper›PMID 40621173›Full record

ArticleDigital health

Short physical performance battery: Pilot study of a human motion capture app (MobiSPPB).

Lucas Küppers, Richard Pfannenstiel, Arezoo Bozorgmehr, Stephan Jonas, Birgitta Weltermann, Lara Marie Reimer

Abstract read
In one paragraph

Article in Digital health. 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

6 authors.

Lucas KüppersInstitute of General Practice and Family Medicine, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0009-0000-9253-3020
Richard PfannenstielInstitute for Digital Medicine, University Hospital Bonn, Bonn, Germany.
Arezoo BozorgmehrInstitute of General Practice and Family Medicine, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0003-3020-1332
Stephan JonasInstitute for Digital Medicine, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-3687-6165
Birgitta WeltermannInstitute of General Practice and Family Medicine, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-1285-1545
Lara Marie ReimerInstitute for Digital Medicine, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-6546-8531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A standardized fall risk assessment can guide targeted interventions. The widely used short physical performance battery (SPPB) for mobility assessment covers balance, gait speed, and lower limb strength, but is time-consuming and requires trained raters. The newly developed video-based smartphone application called MobiSPPB provides a rater-independent SPPB assessment. This study evaluated the technical validity and reliability of the MobiSPPB app compared to the standard rater-based SPPB. In addition, the ability to detect disease-related movement patterns was investigated. Methods: Using a standardized experimental setting, 10 healthy participants performed the SPPB with and without movement impairments simulated by an instant aging suit. Two experienced raters rated the SPPB performance, and a smartphone recorded at the same time. The MobiSPPB app analyzed videos via vision-based human motion capture techniques. Spearman's correlations, the intraclass correlation coefficient (ICC), and receiver operating characteristic curves were calculated. Results: There was a strong correlation between the app and standard SPPB (Spearman's Correlation of 0.869, 95% confidence interval (CI) of 0.79-0.92, Conclusions: The technical validation of the MobiSPPB app was successful in a standardized experimental setting and requires further testing in clinical practice.

Indexed as

fallsfrailtyGeriatric assessmentmHealthmobility assessmentsarcopeniashort physical performance batteryvision-based human motion capture technology

Identifiers

PMID40621173
PMCPMC12227994

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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.