Evidence map›Paper›PMID 32993678›Full record

ArticleJournal of neuroengineering and rehabilitation2020

Virtual reality in pain therapy: a requirements analysis for older adults with chronic back pain.

Oskar Stamm, Rebecca Dahms, Ursula Müller-Werdan

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Article
  6. Article
  7. Immersive Virtual Reality for Postoperative Pain Among Older Adults: A Scoping Review.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Review
  8. Virtual Reality Interventions and Chronic Pain: Scoping Review.Journal of medical Internet research · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Gamification in Musculoskeletal Rehabilitation.Current reviews in musculoskeletal medicine · 2022
    Review
  16. Article
  17. Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis.International journal of environmental research and public health · 2022
    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

3 authors at 1 institution in 1 country.

Oskar StammGeriatrics Research Group - Age and Technology Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Reinickendorfer Strasse 61, 13347, Berlin, Germany. oskar.stamm@charite.de.ORCID 0000-0003-1584-687X
Rebecca DahmsGeriatrics Research Group - Age and Technology Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Reinickendorfer Strasse 61, 13347, Berlin, Germany.
Ursula Müller-WerdanGeriatrics Research Group - Age and Technology Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Reinickendorfer Strasse 61, 13347, Berlin, Germany.
Humboldt-Universität zu Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToday immersive environments such as Virtual Reality (VR) offer new opportunities for serious gaming in exercise therapy and psychoeducation. Chronic back pain (CBP) patients could benefit from exergames in VR. The requirements in older CBP patients for a VR pain therapy have not yet been determined in studies. The aim of the study was to perform a requirements analysis for the user group of geriatric patients with CBP for a VR exergame. The objective was to find out the expectations, desires, preferences and barriers in order to collect them as requirements for this vulnerable group and to determine frameworks of therapy by physiotherapists and psychotherapists.

methodsWe conducted a requirements analysis through semi-structured interviews with 10 elderly participants with CBP. Furthermore, two focus groups were conducted with three physiotherapists and two psychotherapists to determine frameworks of therapy programs for the target group. The qualitative data were transcribed and examined through a structuring content analysis. Subsequently, the results of the analysis were prioritized by all participants of the study.

resultsThe results of the requirements analysis indicate mandatory requirements for the overall system, hardware, software and gamification elements. The key requirements were target-group-specific applications of the VR exergame through e.g. individual briefing, user-friendly handling, inclusion of movement limitations, presentation of everyday scenarios in combination with biofeedback, age-appropriate feedback through praise and awards and a maximum exercise duration of 30 min and 15 min of relaxation.

conclusionIt should be possible to use the determined requirements productively to create user-friendly VR exergames that motivate elderly chronic back pain patients to perform exercises regularly.

trial registrationThe study is registered in the German Clinical Trials Register (DRKS-ID: DRKS00015294 12.10.2018).

Indexed as

AgedBack PainChronic PainExercise TherapyFemaleHumansMalePain ManagementVirtual RealityVirtual Reality Exposure TherapyChronic Back painExergameGeriatricsPhysiotherapyPsychotherapyVirtual reality treatment program

Identifiers

PMID32993678
PMCPMC7523056
OpenAlexW3089435787

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.