Evidence map›Paper›PMID 36645738›Full record

ArticleDisability and rehabilitation. Assistive technology2024

Association of mobile health (mHealth) use with health status and COVID-19-related concerns by people with mobility impairments.

Rebecca E Lee, Bin C Suh, Alicia O'Neal, Chelsea Cameron, Daniel P O'Connor, Punam Ohri-Vachaspati, Michael Todd, Rosemary B Hughes

Open access · greenAbstract read
In one paragraph

Article in Disability and rehabilitation. Assistive technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

8 authors at 4 institutions in 3 countries.

Rebecca E LeeCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Bin C SuhCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Alicia O'NealCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Chelsea CameronCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Daniel P O'ConnorDepartment of Health and Human Performance, HEALTH Research Institute, University of Houston, Houston, TX, USA.ORCID 0000-0001-9750-2864
Punam Ohri-VachaspatiSwette Center for Sustainable Food Systems, College of Health Solutions, Phoenix, AZ, USA.
Michael ToddEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.
Rosemary B HughesRural Institute for Inclusive Communities, University of Montana, Missoula, MT, USA.
Arizona State University · USHouston Health and Human Services Department · USInstitute for Rural Engineering · JPSustainable Energy Systems (United Kingdom) · GB

Funding

Food Environment Measurement with People with Mobility ImpairmentsR21HD095380 · NICHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LEE, REBECCA ELIZABETH · 2018 to 2019
$441k
NICHD NIH HHS R21 HD095380
6 · The paper itself

Abstract

purposeMobile health (mHealth) technology has increased dramatically in the wake of the pandemic. Less research has focused on people with mobility impairing (PMI) disabilities. This study determined the prevalence of mHealth use among PMI adults during the COVID-19 escalation and examines demographic, health and COVID-19 concerns correlates.

methodsPMI adults (

resultsHaving hypertension was associated with higher mHealth use, and having higher COVID-19 concerns about food access was associated with higher mHealth use. Those who used mHealth were also more engaged with smartphone apps for communication, services, and entertainment. Only the association between educational attainment and mHealth use remained significant after adjusting for other covariates in multivariable logistic regression models. DISCUSSION: PMIs continue to need support in the use of mHealth technology to help maximize access to potentially important tools for rehabilitation and health management. There is a need to continue to investigate mHealth and its applications for people with disabilities.Implications for RehabilitationMany people with mobility impairing disabilities may be missing opportunities for mHealth rehabilitation and healthcare.COVID-19 has widened existing gaps in access and use of mHealth technology among people with mobility impairing disabilities.Focused education is needed to help people with disabilities exploit the full range of services of their smartphones to increase access to care, social connectivity, and other important goods and services to enhance rehabilitation and health management.

Indexed as

COVID-19Mobile ApplicationsTelemedicineAdultHealth StatusHumansSmartphoneaccess to healthy foodscell phoneDisabled personsrehabilitationtelemedicine

Identifiers

PMID36645738
PMCPMC10368465
OpenAlexW4316505621

What OpenQuestion holds

Textmetadata
LicenceTDM
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.