Evidence map›Paper›PMID 32277435›Full record

ReviewAging clinical and experimental research2021

Internet of things (IoT) applications for elderly care: a reflective review.

Soe Ye Yint Tun, Samaneh Madanian, Farhaan Mirza

Abstract readReview
PubMed Publisher
In one paragraph

Review in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
–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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care.International journal of environmental research and public health · 2025
    Review
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  15. Machine learning cryptography methods for IoT in healthcare.BMC medical informatics and decision making · 2024
    Article
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  17. Article
  18. Article
  19. Article
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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

3 authors.

Soe Ye Yint TunDepartment of Computer Science, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology (AUT), 34 St. Paul Street, Auckland, 1010, New Zealand.
Samaneh MadanianDepartment of Computer Science, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology (AUT), 34 St. Paul Street, Auckland, 1010, New Zealand. sam.madanian@aut.ac.nz.ORCID http://orcid.org/0000-0001-6430-9611
Farhaan MirzaDepartment of Information Technology and Software Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology (AUT), Auckland, New Zealand.ORCID http://orcid.org/0000-0001-7684-9973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing in elderly population put extra pressure on healthcare systems globally in terms of operational costs and resources. To minimize this pressure and provide efficient healthcare services, the application of the Internet of Things (IoT) and wearable technology could be promising. These technologies have the potential to improve the quality of life of the elderly population while reducing strain on healthcare systems and minimizing their operational cost. Although IoT and wearable applications for elderly healthcare purposes were reviewed previously, there is a further need to summarize their current applications in this fast-developing area. This paper provides a comprehensive overview of IoT and wearable technologies' applications including the types of data collected and the types of devices for elderly healthcare. This paper provides insights into existing areas of IoT/wearable applications while presenting new research opportunities in emerging areas of applications, such as robotic technology and integrated applications. The analysis in this paper could be useful to healthcare solution designers and developers in defining technology supported futuristic healthcare strategies to serve elderly people and increasing their quality of life.

Indexed as

Internet of ThingsWearable Electronic DevicesAgedDelivery of Health CareHumansInternetQuality of LifeAged populationGeriatric health ·Internet of thingsIoTWearable electronic devices

Identifiers

PMID32277435

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.