Evidence map›Paper›PMID 34583773›Full record

ArticleResearch involvement and engagement2021

Using nominal group technique to advance power assisted exercise equipment for people with stroke.

Rachel Young, Karen Sage, David Broom, Katherine Broomfield, Gavin Church, Christine Smith

Abstract read
In one paragraph

Article in Research involvement and engagement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Rachel YoungAdvanced Wellbeing Research Centre, Sheffield Hallam University, 2 Old Hall Road, Sheffield, S9 3TU, UK. r.youn@shu.ac.uk.ORCID http://orcid.org/0000-0002-1217-8389
Karen SageFaculty of Health and Education, Manchester Metropolitan University, Manchester Brooks Building, 53 Bonsall Street, Manchester, M15 6GX, UK.
David BroomAcademy of Sport and Physical Activity, Faculty of Health and Life Sciences, Coventry University, Sheffield, UK.
Katherine Broomfield4National Institute for Health Research (NIHR)/Health Education England (HEE) Clinical Doctoral Research Fellow, Gloucestershire Health and Care Foundation Trust and Manchester Metropolitan University, Sheffield, UK.
Gavin ChurchNIHR Clinical Pre Doctoral Academic Fellow, Community Stroke Service, Sheffield Teaching Hospitals NHS Trust, Beech Hill, Norfolk Park Road, Sheffield, S2 3QE, UK.
Christine SmithDepartment of Allied Health Professions, Sheffield Hallam University, Collegiate Crescent Campus, Sheffield, S10 2BP, UK.

Funding

grow medtech POF00095
6 · The paper itself

Abstract

backgroundPower assisted exercise is accessible and acceptable for people with stroke. The potential for technological advancement of the equipment to improve the user experience has been identified. Involvement of end users and service providers in the design of health technologies is essential in determining how said technology is perceived and adopted. This project invited people with stroke and service providers to influence design features and determine machine selection in the preliminary stages of a codesign research programme.

aimsTo capture the perspectives of people with stroke and professionals working with people with stroke about proposed digitalisation of power assisted exercise equipment and select machines for prototype development.

methodsNominal group technique was used to capture the perspectives, ideas, preferences and priorities of three stakeholder groups: people with stroke (n = 3, mean age 66 years), rehabilitation professionals (n = 3) and exercise scientists (n = 3). Two questions underpinned the structure of the events; 'What does an assistive exercise machine need to do to allow the person with stroke to engage in exercise?' and 'Which machines would you prioritise for use with People with Stroke?' Attendees were invited to cast votes to indicate their preferred machines.

findingsSynthesis of the data from the NGT identified four domains; software and interface, exercise programme, machine and accessories, setting and service. Three preferred machines from a range of nine were identified through vote counting.

conclusionNominal group technique directed the selection of machines to be included in the development of the proposed technology. The vision shared by users during the structured discussion shaped the subsequent steps in the design and testing of the new technology. PATIENT AND SERVICE PROVIDER CONTRIBUTION: The opinions and preferences of people with stroke, rehabilitation professionals and exercise scientists were central to key decisions which will shape the digitalisation of power assisted equipment, influence future research and guide implementation of the new technologies.

Indexed as

Co-designDigitalisationNominal group techniquePeople with strokePower assisted exercise

Identifiers

PMID34583773
PMCPMC8477577

What OpenQuestion holds

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LicenceCC BY
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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.