Evidence map›Paper›PMID 35159950›Full record

ArticleJournal of clinical medicine2022

Distribution of Mobile Health Applications amongst Patients with Symptomatic Peripheral Arterial Disease in Germany: A Cross-Sectional Survey Study.

Kastriot Alushi, Irene Hinterseher, Frederik Peters, Ulrich Rother, Moritz S Bischoff, Spyridon Mylonas, Eberhard Grambow, Alexander Gombert, Albert Busch, Daphne Gray and 9 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.4field-weighted citation impact, top 4% 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.

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

6 citing papers in PubMed, 26 citations in OpenAlex.

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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

19 authors at 11 institutions in 2 countries.

Kastriot AlushiResearch Group GermanVasc, Department of Vascular Medicine, University Heart and Vascular Centre UKE Hamburg, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
Irene HinterseherBerlin Institute of Health, Vascular Surgery Clinic, Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany.ORCID 0000-0001-6725-525X
Frederik PetersResearch Group GermanVasc, Department of Vascular Medicine, University Heart and Vascular Centre UKE Hamburg, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.ORCID 0000-0001-5832-8410
Ulrich RotherDepartment of Vascular Surgery, University Medical Center Erlangen, 91054 Erlangen, Germany.
Moritz S BischoffDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Spyridon MylonasDepartment of Vascular and Endovascular Surgery, Medical Faculty, University of Cologne, 50937 Cologne, Germany.
Eberhard GrambowDepartment of General, Visceral, Thoracic, Vascular and Transplantation Surgery, Rostock University Medical Center, 18057 Rostock, Germany.ORCID 0000-0003-1101-3176
Alexander GombertEuropean Vascular Center Aachen Maastricht, Department of Vascular Surgery University Hospital RWTH Aachen, 52074 Aachen, Germany.ORCID 0000-0002-8451-2913
Albert BuschDivision of Vascular and Endovascular Surgery, Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty Carl Gustav Carus, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, 01307 Dresden, Germany.
Daphne GrayDepartment of Vascular and Endovascular Surgery, Goethe University Hospital, 60590 Frankfurt, Germany.
Nikolaos KonstantinouDepartment of Vascular Surgery, Ludwig Maximilians University Hospital, 80539 Munich, Germany.
Konstantinos StavroulakisDepartment of Vascular Surgery, Ludwig Maximilians University Hospital, 80539 Munich, Germany.
Marco HornDivision of Vascular and Endovascular Surgery, Department of Surgery, University Medical Center Schleswig-Holstein, 24105 Kiel, Germany.ORCID 0000-0002-1719-031X
Hartmut GörtzDepartment of Vascular and Endovascular Surgery, Bonifatius Hospital Lingen, 49808 Lingen, Germany.
Christian UhlDepartment of Vascular and Endovascular Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Hannes FederrathWorking Group Security in Distributed Systems at University of Hamburg, Department of Computer Science, University of Hamburg, 22527 Hamburg, Germany.
Hans-Heinrich TruteFaculty of Law, University of Hamburg, 20148 Hamburg, Germany.
Thea KreutzburgResearch Group GermanVasc, Department of Vascular Medicine, University Heart and Vascular Centre UKE Hamburg, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
Christian-Alexander BehrendtResearch Group GermanVasc, Department of Vascular Medicine, University Heart and Vascular Centre UKE Hamburg, University Medical Centre Hamburg-Eppendorf, 20246 Hamburg, Germany.
Universität Hamburg · DEHeidelberg University · DELudwig-Maximilians-Universität München · DEGoethe University Frankfurt · DEHumboldt-Universität zu Berlin · DEMaastricht University Medical Centre · NLSt. Bonifatius Hospital · DEUniversity Hospital Carl Gustav Carus · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Cologne · DEUniversity of Rostock · DE

Funding

German Federal Joint Committee 01VSF18035
6 · The paper itself

Abstract

backgroundBroadly available digital and mobile health applications (also known as mHealth) have recently gained increasing attention by the vascular community, but very little is known about the dissemination and acceptance of such technologies in certain target populations. The current study aimed to determine the user behaviour and acceptance of such digital technologies amongst patients with peripheral arterial disease (PAD).

methodsA cross-sectional survey of consecutively treated inpatients at 12 university institutions, as well as one non-university institution, was conducted. All admitted patients with symptomatic PAD were surveyed for 30 consecutive days within a flexible timeframe between 1 July and 30 September 2021. The factors associated with smartphone use were estimated via backward selection within a logistic regression model with clustered standard errors.

resultsA total of 326 patients participated (response rate 96.3%), thereof 102 (34.0%) were treated for intermittent claudication (IC, 29.2% women, 70 years in median) and 198 were treated for chronic limb-threatening ischaemia (CLTI, 29.5% women, 70 years in median). Amongst all of the patients, 46.6% stated that they had not changed their lifestyle and health behaviour since the index diagnosis (four years in median), and 33.1% responded that they were not aware of the reasons for all of their medication orders. Amongst all those surveyed, 66.8% owned a smartphone (IC: 70.6%, CLTI: 64.1%), thereof 27.9% needed regular user support. While 42.5% used smartphone apps, only 15.0% used mobile health applications, and 19.0% owned wearables. One out of five patients agreed that such technologies could help to improve their healthy lifestyle. Only higher age was inversely associated with smartphone possession.

conclusionsThe current survey showed that smartphones are prevalent amongst patients with peripheral arterial disease, but only a small proportion used mobile health applications and a considerable number of patients needed regular user support. Almost half of the patients did not change their lifestyle and one third were not aware of the reasons for their medication orders, emphasising room for improvement. These findings can further help to guide future projects using such applications to identify those target populations that are reachable with digital interventions.

Indexed as

peripheral arterial diseasesmartphonewearable electronic devices

Identifiers

PMID35159950
PMCPMC8836389
OpenAlexW4205147362

What OpenQuestion 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 OpenQuestion graph.