Evidence map›Paper›PMID 39517318›Full record

ReviewHealthcare (Basel, Switzerland)2024

Exploring the Effectiveness of Technology-Assisted Interventions for Promoting Independence in Elderly Patients: A Systematic Review.

Mohammed Nasser Albarqi

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2024. 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
–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.

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.

  1. Article
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  4. Review
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  11. Article
  12. The Impact of Telepresence Robots on Family Caregivers and Residents in Long-Term Care.International journal of environmental research and public health · 2025
    Article
  13. Review
  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

1 author.

Mohammed Nasser AlbarqiCollege of Medicine, King Faisal University, Al Hofuf 31982, Saudi Arabia.ORCID 0000-0001-8510-8659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aging global population presents significant challenges for healthcare systems. Technology-assisted interventions have emerged as promising tools to enhance independence and well-being among elderly individuals.

objectiveThe aim of this study was to evaluate the effectiveness of technology-assisted interventions in promoting independence among elderly patients and identify key barriers and facilitators to their implementation.

methodsA systematic review was conducted following PRISMA guidelines. Searches were performed in PubMed, IEEE Xplore, ACM Digital Library, Cochrane Library, and Scopus. Studies evaluating technology-assisted interventions for promoting independence in elderly patients were included. Data were synthesized through narrative and thematic analysis.

resultsFourteen studies met inclusion criteria. Technology-assisted interventions demonstrated positive impacts on physical and cognitive functioning, health management, quality of life, and technological engagement among elderly patients. Improvements were observed in areas such as mobility, chronic disease management, mental health, and daily living activities. High usability and adherence rates were reported for well-designed interventions. However, challenges in user-centered design, personalization, and integration with existing healthcare systems were identified.

conclusionsTechnology-assisted interventions show promise in promoting independence among elderly patients. Future research should focus on addressing identified challenges and conducting larger, long-term studies to confirm effectiveness and sustainability.

Indexed as

assistive technologyelderly careindependencetechnology-assisted interventionstelehealth

Identifiers

PMID39517318
PMCPMC11545332

What OpenQuestion holds

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LicenceCC BY
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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.