Evidence map›Paper›PMID 36256830›Full record

ArticleJMIR aging2022

Older Wheelchair Users Recommend Age-Friendly Design Improvements to a Wheelchair Maintenance App: Mixed Methods Development Study.

Alyssa Boccardi, Fangzheng Wu, Jon Pearlman, Anand Mhatre

Open access · goldAbstract read
In one paragraph

Article in JMIR aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Reliability assessment of power wheelchairs.The journal of spinal cord medicine · 2026
    Article
  3. Wheelchair Servicing for Older Adults: Cross-Sectional Study.JMIR rehabilitation and assistive technologies · 2025
    Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Alyssa BoccardiDepartment of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-2799-4749
Fangzheng WuDepartment of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-5353-4589
Jon PearlmanDepartment of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-0830-9136
Anand MhatreOccupational Therapy Division, Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID https://orcid.org/0000-0001-6179-3727
University of Pittsburgh · USThe Ohio State University Wexner Medical Center · US

Funding

Development of a Wheelchair Maintenance Alert Application for Elderly Wheelchair UsersR03AG069836 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MHATRE, ANAND · 2020 to 2020
$76k
NIA NIH HHS R03 AG069836
6 · The paper itself

Abstract

backgroundWheelchair part failures have doubled over the past decade. Preventative wheelchair maintenance reduces wheelchair failures and prevents user consequences. We are developing a smartphone app called WheelTrak, which alerts users when maintenance is required, to encourage maintenance practices and compliance.

objectiveThis mixed methods study aimed to develop a wheelchair maintenance app using broad stakeholder advice and investigate older adults' interaction experience with the app and their perceived barriers to and facilitators of maintenance.

methodsInterviews were conducted with stakeholders, including mobility device users, to generate needs statements and app specifications. The app was designed in 2 stages. Stage 1 involved the development of the app according to the specifications and evaluation of the app interface by lead users. Stage 2 included the revision of the app screens and manual functionality testing. Usability testing and semistructured interviews were conducted with older wheelchair and scooter users. The System Usability Scale was used to measure app usability.

resultsInterviews with power and manual wheelchair users (37/57, 65%), wheelchair service providers (15/57, 26%), manufacturers (2/57, 4%), seating and mobility researchers (1/57, 2%), and insurance plan providers (2/57, 4%) informed the needs and specifications of the app technology. The 2-stage development process delivered a fully functional app that met the design specifications. In total, 12 older adults (mean age 74.2, SD 9.1 years; n=10, 83% women; and n=2, 17% men) participated in the usability testing study. Of the 12 participants, 9 (75%) agreed to use WheelTrak for preventative maintenance. WheelTrak scored an average System Usability Scale score of 60.25 (SD 16). Four overarching themes were identified: WheelTrak app improvements, barriers to maintenance, consequences related to mobility device failure, and smart technology use and acceptance. Older adults preferred the simplicity, readability, personalization, and availability of educational resources in the app. Barriers to maintenance pertained to health issues and lack of maintenance knowledge among older adults. Facilitators of maintenance included notification for maintenance, app connectivity with the service provider, reporting of device failure, and the presence of a caregiver for maintenance.

conclusionsThis study highlighted age-friendly design improvements to the app, making it easy to be used and adopted by older wheelchair users. The WheelTrak app has close to average system usability. Additional usability testing will be conducted following app revision in the future.

Indexed as

agingmaintenancemobile phoneolder adultsrepairsmartphonewheelchair

Identifiers

PMID36256830
PMCPMC9627462
OpenAlexW4293769181

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.