Evidence map›Paper›PMID 22003159›Full record

ArticlePhysical therapy2011

A quality-of-life scale for assistive technology: results of a pilot study of aging and technology.

Emily M Agree, Vicki A Freedman

Abstract read
In one paragraph

Article in Physical therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
11.1field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 55 citations in OpenAlex.

  1. Employment-Related Assistive Technology Needs in Autistic Adults: A Mixed-Methods Study.European journal of investigation in health, psychology and education · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Activity limitations, use of assistive devices or personal help, and well-being: variation by education.The journals of gerontology. Series B, Psychological sciences and social sciences · 2014
    Article
  7. The psychosocial impact on standing devices.Disability and rehabilitation. Assistive technology · 2014
    Article
  8. Article
  9. Review
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

2 authors at 1 institution in 1 country.

Emily M AgreeHopkins Center for Population Aging and Health, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe Street, Baltimore, MD 21205, USA. eagree@jhsph.edu
Vicki A Freedman
Johns Hopkins University · US

Funding

HEALTH AND CARE TRAJECTORIES OF OLDER DISABLED AMERICANSR01AG014346 · NIA · POLISHER RESEARCH INSTITUTE · PI FREEDMAN, VICKI A. · 2000 to 2002
$865k
Hopkins Center for Population Aging and HealthP30AG034460 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGREE, EMILY M · 2009 to 2010
$302k
NIA NIH HHS P30 AG034460NIA NIH HHS P30-AG034460NIA NIH HHS R01 AG014346NIA NIH HHS R01-AG14346
6 · The paper itself

Abstract

backgroundIn an aging society, it is increasingly important to understand how assistive devices can be used by older people to maintain quality of life despite chronic disabilities. Assistive technology is a mainstay of physical therapist practice, but the potential for device use to affect psychosocial well-being is not yet understood at the population level.

objectiveThe objective of this study was to develop a parsimonious indicator that can be used in population-based surveys to represent the effect of assistive technologies on quality of life for older people, separate from personal assistance.

designThis study was a cross-sectional survey.

methods/b> The methods used in this study were psychometric scale development and structural equation modeling.

resultsThe results indicated that a parsimonious, valid, and reliable scale reflecting quality of life related to assistive device use can be created from 3 questions designed to measure improvements in safety, control, and participation due to technology. The findings also suggested that assistive technology may more effectively improve quality of life for people with greater levels of functional limitations. LIMITATIONS: The data were derived from a cross-sectional survey conducted by telephone. The use of personal assistance, on average, was low; thus, the applicability to a population with more profound care needs has yet to be confirmed.

conclusionsDetermining the broader impact of assistive technology on quality of life with population-level measures may provide insight into how best to leverage technologies to prevent dependence in aging adults.

Indexed as

Surveys and QuestionnairesAdultAgedAged, 80 and overCross-Sectional StudiesFatigueFemaleHumansIndependent LivingMaleMiddle AgedPainPilot ProjectsPsychometricsQuality of LifeSafety

Identifiers

PMID22003159
PMCPMC3229043
OpenAlexW2106082304

What OpenQuestion holds

Textmetadata
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.