Evidence map›Paper›PMID 35270640›Full record

ArticleInternational journal of environmental research and public health2022

Factors Associated with the Acceptance of New Technologies for Ageing in Place by People over 64 Years of Age.

Sara Chimento-Díaz, Pablo Sánchez-García, Cristina Franco-Antonio, Esperanza Santano-Mogena, Isabel Espino-Tato, Sergio Cordovilla-Guardia

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
17.4field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Medical teleconsultation from the patient's perspective. A demographic segmentation.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  3. Extended reality in anesthesia: a narrative review.Korean journal of anesthesiology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

6 authors at 1 institution in 1 country.

Sara Chimento-DíazDepartment of Computer and Telematic Systems Engineering, Polytechnic School of Cáceres, University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0002-2722-8422
Pablo Sánchez-GarcíaHealth and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain.
Cristina Franco-AntonioHealth and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-8427-2836
Esperanza Santano-MogenaHealth and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain.
Isabel Espino-TatoDepartment of Computer and Telematic Systems Engineering, Polytechnic School of Cáceres, University of Extremadura, 10003 Cáceres, Spain.
Sergio Cordovilla-GuardiaHealth and Care Research Group (GISyC), University of Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-7651-5017
Universidad de Extremadura · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the context of growing population ageing, technologies aimed at helping people age in place play a fundamental role. Acceptance of the implementation of technological solutions can be defined as the intention to use a technology or the effective use of it. Approaches based on the technology acceptance model (TAM) have been shown to have good predictive power for pre-implementation attitudes towards new technologies.

objectiveTo analyze the degree of acceptability of the use of new technologies for ageing in place and the factors associated with greater acceptance in people older than 64 years. METHODOLOGY: A descriptive cross-sectional study was carried out. Sociodemographic, clinical and environmental variables, architectural barriers, social risk and quality of life, degree of autonomy, morbidity, and risk of falls were collected in a population sample over 64 years of age in a large region of western Spain. The degree of acceptance of the use of technologies was measured through a scale based on the TAM.

resultsOf the 293 people included in the study, 36.2% exhibited a high acceptability of new technologies, 28.3% exhibited a medium acceptability, and 35.5% exhibited a low acceptability. Of all the factors, age, education level, and living alone were significantly associated with high acceptance in the adjusted analyses.

conclusionsYounger age, a higher education level, and living alone are factors associated with a greater degree of acceptance of the use of technologies for ageing in place.

Indexed as

Independent LivingQuality of LifeAgedAgingCross-Sectional StudiesHumansTechnologyageing in placeagingaging in placetechnological development

Identifiers

PMID35270640
PMCPMC8910177
OpenAlexW4214807277

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.