Evidence map›Paper›PMID 37782310›Full record

ReviewJMIR rehabilitation and assistive technologies2023

Available Assistive Technology Outcome Measures: Systematic Review.

Francesca Borgnis, Lorenzo Desideri, Rosa Maria Converti, Claudia Salatino

Registry-linked trialAbstract readReview
In one paragraph

Review in JMIR rehabilitation and assistive technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06546813 (Outcomes of ICT Assistive Technology in RehabiliTAtIoN Pathways), which is not on this map. Cited by 10 papers.

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

NCT06546813 recruitingnot on this map

Outcomes of ICT Assistive Technology in RehabiliTAtIoN Pathways

Typeobservational_patient_registrySponsorFondazione Don Carlo Gnocchi ETSRan2023 to 2025Enrolled50ConditionsCommunication Aids for Disabled, Communication Disorders, Motor Disorders, Cognitive DisorderArmsscales and questionnaire administration
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
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

4 authors.

Francesca BorgnisIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.ORCID https://orcid.org/0000-0001-8237-6164
Lorenzo DesideriAIAS Bologna onlus, Bologna, Italy.ORCID https://orcid.org/0000-0003-2091-2907
Rosa Maria ConvertiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.ORCID https://orcid.org/0000-0002-9136-7232
Claudia SalatinoIRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.ORCID https://orcid.org/0000-0001-7032-8798

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization claimed that measuring outcomes is necessary to understand the benefits of assistive technology (AT) and create evidence-based policies and systems to ensure universal access to it. In clinical practice, there is an increasing need for standardized methods to track AT interventions using outcome assessments.

objectiveThis review provides an overview of the available outcome measures that can be used at the follow-up stage of any AT intervention and integrated into daily clinical or service practice.

methodsWe systematically searched for original manuscripts regarding available and used AT outcome measures by searching for titles and abstracts in the PubMed, Scopus, and Web of Science databases up to March 2023.

resultsWe analyzed 955 articles, of which 50 (5.2%) were included in the review. Within these, 53 instruments have been mentioned and used to provide an AT outcome assessment. The most widely used tool is the Quebec User Evaluation of Satisfaction with Assistive Technology, followed by the Psychosocial Impact of Assistive Technology Scale. Moreover, the identified measures addressed 8 AT outcome domains: functional efficacy, satisfaction, psychosocial impact, caregiver burden, quality of life, participation, confidence, and usability. The AT category Assistive products for activities and participation relating to personal mobility and transportation was the most involved in the reviewed articles.

conclusionsAmong the 53 cited instruments, only 17 (32%) scales were designed to evaluate specifically assistive devices. Moreover, 64% (34/53) of the instruments were only mentioned once to denote poor uniformity and concordance in the instruments to be used, limiting the possibility of comparing the results of studies. This work could represent a good guide for promoting the use of validated AT outcome measures in clinical practice that can be helpful to AT assessment teams in their everyday activities and the improvement of clinical practice.

Indexed as

assistive technologyATAT assessmentAT outcome measuresrehabilitation

Identifiers

PMID37782310
PMCPMC10687703

What OpenQuestion holds

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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.