Evidence map›Paper›PMID 39796957›Full record

ArticleSensors (Basel, Switzerland)2024

Digital Health Technologies for Optimising Treatment and Rehabilitation Following Surgery: Device-Based Measurement of Sling Posture and Adherence.

Joss Langford, Ahmed Barakat, Engy Daghash, Harvinder Singh, Alex V Rowlands

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

5 authors.

Joss LangfordActivInsights Ltd., 6 Nene Road, Bicton Industrial Park, Kimbolton, Huntingdon PE28 0LF, UK.ORCID 0000-0002-3204-5866
Ahmed BarakatTrauma & Orthopaedics Department, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK.ORCID 0000-0002-7742-7059
Engy DaghashTrauma & Orthopaedics Department, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK.
Harvinder SinghTrauma & Orthopaedics Department, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW, UK.
Alex V RowlandsAssessment of Movement Behaviours (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK.ORCID 0000-0002-1463-697X

Funding

Foxtrot Committee, Leicester Hospitals Charity APP8407NIHR Leicester Biomedical Research Centre IS-BRC-1215-20010
6 · The paper itself

Abstract

backgroundFollowing shoulder surgery, controlled and protected mobilisation for an appropriate duration is crucial for appropriate recovery. However, methods for objective assessment of sling wear and use in everyday living are currently lacking. In this pilot study, we aim to determine if a sling-embedded triaxial accelerometer and/or wrist-worn sensor can be used to quantify arm posture during sling wear and adherence to sling wear.

methodsFour participants were asked to wear a GENEActiv triaxial accelerometer on their non-dominant wrist for four hours in an office environment, and, for two of those hours, they also wore a sling in which an additional GENEActiv accelerometer was secured. During sling wear, they were asked to move their arm in the sling through a series of pre-specified arm postures.

resultsWe found that upper arm angle and posture type during sling wear can be predicted from a sling sensor alone (R

conclusionsthe remote monitoring of sling adherence and the quantification of immobilisation is practical and effective with digital health technology.

Indexed as

Biomedical TechnologyPostureAccelerometryAdultAlgorithmsDigital HealthFemaleHumansMaleMiddle AgedPilot ProjectsShoulderWearable Electronic DevicesWristaccelerometeradherencearmpostureshoulderslingsurgerywrist

Identifiers

PMID39796957
PMCPMC11723119

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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 OpenQuestion graph.