Evidence map›Paper›PMID 41228888›Full record

ArticleSensors (Basel, Switzerland)2025

A Protocol to Self-Familiarize Health Care Professionals with the Detection Limits of a Physical Activity Tracker for Low-Impact Steps in Patients Recovering from Knee Surgery-A Proposal and a First Evaluation.

Werner Vach, Daniel Rybitschka, Scott Wearing, Andreas Gösele, Frances Weidermann, Marcel Jakob

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Werner VachBasel Academy for Quality and Research in Medicine, Steinenring 6, 4051 Basel, Switzerland.ORCID 0000-0003-1865-8399
Daniel RybitschkaCrossklinik AG, Bundesstr 1, 4054 Basel, Switzerland.
Scott WearingTUM School of Medicine and Health, Technical University of Munich, Arcisstraße 21, 80333 Munich, Germany.
Andreas GöseleCrossklinik AG, Bundesstr 1, 4054 Basel, Switzerland.
Frances WeidermannCrossklinik AG, Bundesstr 1, 4054 Basel, Switzerland.
Marcel JakobBasel Academy for Quality and Research in Medicine, Steinenring 6, 4051 Basel, Switzerland.ORCID 0000-0002-9021-0890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity trackers are promising for monitoring physical activity in patients after surgery. However, the remobilization of patients following surgery is characterized by low-impact movements. It is often unclear to health care professionals whether a specific physical activity tracker is able to correctly detect steps in this patient population. A protocol is proposed, which allows health care professionals to familiarize themselves with the detection limits of a physical activity tracker. The professional should walk 20 steps under varying conditions mimicking the situation of patients after knee surgery. Conditions vary in step size, walking direction, use of walking aids, and footwear. The protocol was tested in a group of 14 health care professionals. Participants wore four trackers simultaneously, representing different modalities and different locations. For two trackers, the participants could experience a variation in the detection limits across the different conditions. On one hand, the within-participant reproducibility was substantial on average, though the between-participant reproducibility was only fair. On the other hand, experiencing incorrect step counts varied highly across and within participants. In conclusion, the self-familiarization of health care professionals with the detection limits of a physical activity tracker using specific protocols seems to be a feasible approach. Such protocols can provide valuable tools for facilitating the use of physical activity trackers in clinical applications. Additional research may allow for further refinement of the protocol to generate input that is more comparable across participants and closer to the gait of patients.

Indexed as

ExerciseFitness TrackersHealth PersonnelKneeAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsWalkinghealth care professionalsknee surgeryphysical activity trackerpost-surgical conditionself-familiarizationstep count

Identifiers

PMID41228888
PMCPMC12608956

What Socratic holds

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LicenceCC BY
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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 Socratic graph.