Evidence map›Paper›PMID 33620327›Full record

ArticleJMIR mHealth and uHealth2021

mHealth App for Pressure Ulcer Wound Assessment in Patients With Spinal Cord Injury: Clinical Validation Study.

Ariane Do Khac, Claire Jourdan, Sylvain Fazilleau, Claire Palayer, Isabelle Laffont, Arnaud Dupeyron, Stéphane Verdun, Anthony Gelis

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04402398 (Psychometric Properties of a Mobile Application in Pressure Ulcers for Patients With Spinal Cord Injuries), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.8field-weighted citation impact, top 3% of its field
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.

NCT04402398 completednot on this map

Psychometric Properties of a Mobile Application in Pressure Ulcers for Patients With Spinal Cord Injuries (SCI)

TypeobservationalSponsorUniversity Hospital, MontpellierRan2019 to 2020Enrolled59ConditionsSpinal Cord Injuries
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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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 at 4 institutions in 1 country.

Ariane Do KhacUnité de Rééducation Neurologique, Département de Médecine Physique et de Réadaptation, Centre Hospitalo-Universitaire, Nîmes, France.ORCID 0000-0002-7399-6983
Claire JourdanDépartement de Médecine Physique et de Réadaptation, Centre Hospitalo-Universitaire, Montpellier, France.ORCID 0000-0001-9691-8059
Sylvain FazilleauDépartement de Médecine Physique et de Réadaptation, Centre Hospitalo-Universitaire, Montpellier, France.ORCID 0000-0002-8348-8667
Claire PalayerCentre Mutualiste Neurologique Propara, Montpellier, France.ORCID 0000-0002-0054-816X
Isabelle LaffontDépartement de Médecine Physique et de Réadaptation, Centre Hospitalo-Universitaire, Montpellier, France.ORCID 0000-0002-6663-2831
Arnaud DupeyronUnité de Rééducation Neurologique, Département de Médecine Physique et de Réadaptation, Centre Hospitalo-Universitaire, Nîmes, France.ORCID 0000-0001-5085-3739
Stéphane VerdunDélégation à la Recherche Clinique et à l'Innovation, Groupement des Hôpitaux de l'Institut Catholique de Lille, Lille, France.ORCID 0000-0002-1381-3540
Anthony GelisCentre Mutualiste Neurologique Propara, Montpellier, France.ORCID 0000-0001-8642-0871
Institut Régional de Médecine Physique et de Réadaptation · FRCentre Hospitalier Universitaire de Nîmes · FRClinique Mutualiste de l'Estuaire · FRGroupe Hospitalier de l'Institut Catholique de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical evaluation of a pressure ulcer is based on quantitative and qualitative evaluation. In clinical practice, acetate tracing is the standard technique used to measure wound surface area; however, it is difficult to use in daily practice (because of material availability, data storage issues, and time needed to calculate the surface area). Planimetry techniques developed with mobile health (mHealth) apps can be used to overcome these difficulties.

objectiveThe goal of this study was to evaluate the metrological properties of a free-access mHealth app, called imitoMeasure, to assess pressure ulcers.

methodsThis was a noninterventional, validation study. We included patients with spinal cord injury presenting with a pressure ulcer, regardless of its stage or location. We performed wound measurements with a ruler, and we performed acetate tracing using a transparent dressing with a wound measurement grid. Wound evaluation via the mHealth app was conducted twice by the main investigator and also by a coinvestigator to determine validity, intrarater reproducibility, and interrater reproducibility. Bland-Altman plots and intraclass correlation coefficients were used to compute the minimal detectable change percentage.

resultsOverall, 61 different pressure ulcers were included. The validity, intrarater reproducibility, and interrater reproducibility of the mHealth app vs acetate tracing (considered the method of reference) were good, with intraclass correlation coefficients of 0.97 (95% CI 0.93-0.99), 0.99 (95% CI 0.98-0.99), and 0.98 (95% CI 0.96-0.99), respectively, and minimal detectable change percentages between 17% and 35%.

conclusionsThe imitoMeasure app had good validity and reproducibility. It could be an alternative to standard wound assessment methods. Further studies on larger and more diverse wounds are needed.

trial registrationClinicalTrials.gov NCT04402398; http://clinicaltrials.gov/ct2/show/NCT04402398.

Indexed as

Mobile ApplicationsPressure UlcerSpinal Cord InjuriesTelemedicineHumansReproducibility of Resultsaccessappassessmentavailabilitycorrelationmobile apppressure ulcerreliabilityreproducibilityvaliditywound

Identifiers

PMID33620327
PMCPMC7943335
OpenAlexW3122710486

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.