Evidence map›Paper›PMID 28729234›Full record

ArticleJMIR rehabilitation and assistive technologies2017

Mobile Phone-Supported Physiotherapy for Frozen Shoulder: Feasibility Assessment Based on a Usability Study.

Thomas Stütz, Gerlinde Emsenhuber, Daniela Huber, Michael Domhardt, Martin Tiefengrabner, Gertie Janneke Oostingh, Ulrike Fötschl, Nicholas Matis, Simon Ginzinger

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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.

NCT04784793 nacompletednot on this mapstarted 2018, after this paper: background citation

A Mobile App for Postural Alignment Exercises in Cervical and Thoracic Spine Regions: Design, Development, Usability and Randomized Controlled Pilot Study

TypeinterventionalSponsorMarmara UniversityRan2018 to 2020Enrolled40ConditionsDevelopment and Design of Mobile App, Preventive Physiotherapy, Exercise Adherence, Cervical and Thoracic SpineArmsApp-based group, Control group
NCT05980572 nacompletednot on this mapstarted 2022, after this paper: background citation

Mobile Device Based Telerehabilitation for Frozen Shoulder-A Prospective Randomized Controlled Study.

TypeinterventionalSponsorChang Gung Memorial HospitalRan2022 to 2023Enrolled21ConditionsFrozen ShoulderArmsGlenohumeral joint and subacromial space triamcinolone injections, App-assisted exercise, Nonsteroidal anti-inflammatory drugs (aceclofenac)
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 30 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

9 authors at 1 institution in 1 country.

Thomas StützSmartHealthCheck Project, Department of Multimedia Technology, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0002-4900-5991
Gerlinde EmsenhuberSmartHealthCheck Project, Department of Multimedia Technology, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0001-7776-586X
Daniela HuberSmartHealthCheck Project, Department of Physiotherapy, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0002-9636-2203
Michael DomhardtSmartHealthCheck Project, Department of Multimedia Technology, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0001-7691-5643
Martin TiefengrabnerSmartHealthCheck Project, Department of Multimedia Technology, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0003-3078-4611
Gertie Janneke OostinghSmartHealthCheck Project, Department of Biomedical Sciences, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0001-5083-217X
Ulrike FötschlSmartHealthCheck Project, Department of Biomedical Sciences, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0002-6658-5334
Nicholas MatisAmbulatory Shoulder Care, Department of Orthopedics and Traumatology, University Hospital Salzburg (SALK), Salzburg, Austria.ORCID http://orcid.org/0000-0002-6692-4316
Simon GinzingerSmartHealthCheck Project, Department of Multimedia Technology, University of Applied Sciences Salzburg, Puch / Salzburg, Austria.ORCID http://orcid.org/0000-0001-9252-3180
Fachhochschule Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with frozen shoulder show limited shoulder mobility often accompanied by pain. Common treatment methods include physiotherapy, pain medication, administration of corticosteroids, and surgical capsulotomy. Frozen shoulder often lasts from months to years and mostly affects persons in the age group of 40 to 70 years. It severely reduces the quality of life and the ability to work.

objectiveThe objective of this study was to evaluate the feasibility of a mobile health (mHealth) intervention that supports patients affected by "stage two" frozen shoulder. Patients were supported with app-based exercise instructions and tools to monitor their training compliance and progress. These training compliance and progress data supplement the patients' oral reports to the physiotherapists and physicians and can assist them in therapy adjustment.

methodsIn order to assess the feasibility of the mHealth intervention, a pilot study of a newly developed app for frozen shoulder patients was conducted with 5 patients for 3 weeks. The main function of the app was the instruction for exercising at home. Standardized questionnaires on usability such as System Usability Scale (SUS) and USE (Usefulness, Satisfaction, and Ease of use), and Technology Acceptance Model-2 (TAM-2) were completed by the study participants at the end of the study. Additionally, a nonstandardized questionnaire was completed by all patients. The correctness of the exercises as conducted by the patients was assessed by a physiotherapist at the end of the study. The mobility of the shoulder and pain in shoulder movement was assessed by a physiotherapist at the start and the end of the study.

resultsThe pilot study was successfully conducted, and the app was evaluated by the patients after 3 weeks. The results of the standardized questionnaires showed high acceptance (TAM-2) and high usability (SUS) of the developed app. The overall usability of the system as assessed by the SUS questionnaire was very good (an average score of 88 out of 100). The average score of the TAM-2 questionnaire on the intention to further use the app was 4.2 out of 5, which indicated that most patients would use the app if further available. The results of the USE questionnaires highlighted that the patients learned how to use the app easily (an average score of 4.2 out of 5) and were satisfied with the app (an average score of 4.7 out of 5). The frequency of app usage and training was very high based on patient reports and verified by analysis of the usage data. The patients conducted the exercises almost flawlessly.

conclusionsOur results indicate the feasibility of the mHealth intervention, as the app was easy to use and frequently used by the patients. The app supported the patients' physiotherapy by providing clear exercising instructions.

Indexed as

adhesive capsulitisfrozen shoulderhome health aidesmHealthmobile healthmobile phonephysiotherapy (techniques)telemedicine

Identifiers

PMID28729234
PMCPMC5544899
OpenAlexW2737894269

What OpenQuestion holds

Textmetadata
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.