Evidence map›Paper›PMID 32777826›Full record

ArticleMethods of information in medicine2020

Health-Enabling Technologies for Telerehabilitation of the Shoulder: A Feasibility and User Acceptance Study.

Bianca Steiner, Lena Elgert, Birgit Saalfeld, Jonas Schwartze, Horst Peter Borrmann, Axel Kobelt-Pönicke, Andreas Figlewicz, Detlev Kasprowski, Michael Thiel, Ralf Kreikebohm and 2 more

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Methods of information in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07723755 (The Effectiveness of Using Interactive Devices for Home Exercise in Patients With Frozen Shoulder.), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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.

NCT07723755 nacompletednot on this mapstarted 2024, after this paper: background citation

The Effectiveness of Using Interactive Devices for Home Exercise in Patients With Frozen Shoulder.

TypeinterventionalSponsorTaipei Medical UniversityRan2024 to 2025Enrolled30ConditionsFrozen Shoulder, Adhesive CapsulitisArms"HappyGoGo" interactive rehabilitation software, Standard home exercise education alongside standard hospital physical therapy
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  5. Machine-learning models for shoulder rehabilitation exercises classification using a wearable system.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
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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

12 authors.

Bianca SteinerPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany.
Lena ElgertPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, German.
Birgit SaalfeldPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, German.
Jonas SchwartzePeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, German.
Horst Peter BorrmannDeutsche Rentenversicherung Nord Ost West Informationstechnik GmbH, Laatzen, Germany.
Axel Kobelt-PönickeDeutsche Rentenversicherung Braunschweig-Hannover, Laatzen, Germany.
Andreas FiglewiczDeutsche Rentenversicherung Reha-Zentrum Bad Pyrmont, Bad Pyrmont, Germany.
Detlev KasprowskiDeutsche Rentenversicherung Reha-Zentrum Bad Pyrmont, Bad Pyrmont, Germany.
Michael ThielDeutsche Rentenversicherung Reha-Zentrum Bad Pyrmont, Bad Pyrmont, Germany.
Ralf KreikebohmInstitut für Rechtswissenschaften, Technische Universität Braunschweig, Braunschweig, Germany.
Reinhold HauxPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany.
Klaus-Hendrik WolfPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, German.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter discharge from a rehabilitation center the continuation of therapy is necessary to secure already achieved healing progress and sustain (re-)integration into working life. To this end, home-based exercise programs are frequently prescribed. However, many patients do not perform their exercises as frequently as prescribed or even with incorrect movements. The telerehabilitation system AGT-Reha was developed to support patients with shoulder diseases during their home-based aftercare rehabilitation.

objectivesThe presented pilot study AGT-Reha-P2 evaluates the technical feasibility and user acceptance of the home-based telerehabilitation system AGT-Reha.

methodsA nonblinded, nonrandomized exploratory feasibility study was conducted over a 2-year period in patients' homes. Twelve patients completed a 3-month telerehabilitation exercise program with AGT-Reha. Primary outcome measures are the satisfying technical functionality and user acceptance assessed by technical parameters, structured interviews, and a four-dimensional questionnaire. Secondary endpoints are the medical rehabilitation success measured by the active range of motion and the shoulder function (pain and disability) assessed by employing the Neutral-0 Method and the standardized questionnaire "Shoulder Pain and Disability Index" (SPADI), respectively. To prepare an efficacy trial, various standardized questionnaires were included in the study to measure ability to work, capacity to work, and subjective prognosis of work capacity. The participants have been assessed at three measurement points: prebaseline (admission to rehabilitation center), baseline (discharge from rehabilitation center), and posttherapy.

resultsSix participants used the first version of AGT-Reha, while six other patients used an improved version. Despite minor technical problems, all participants successfully trained on their own with AGT-Reha at home. On average, participants trained at least once per day during their training period. Five of the 12 participants showed clinically relevant improvements of shoulder function (improved SPADI score > 11). The work-related parameters suggested a positive impact. All participants would recommend the system, ten participants would likely reuse it, and seven participants would have wanted to continue their use after 3 months.

conclusionThe findings show that home-based training with AGT-Reha is feasible and well accepted. Outcomes of SPADI indicate the effectiveness of aftercare with AGT-Reha. A controlled clinical trial to test this hypothesis will be conducted with a larger number of participants.

Indexed as

Exercise TherapyTelerehabilitationFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsShoulder InjuriesSurveys and Questionnaires

Identifiers

PMID32777826
PMCPMC7746513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.