Evidence map›Paper›PMID 38322915›Full record

ArticleHeliyon2024

Perceived usefulness of Internet of Things (IOT) in the quality of life of special needs and elderly individuals in Saudi Arabia.

Turki Mahdi Alqarni, Burhan Mahmoud Hamadneh, Malek Turki Jdaitawi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Turki Mahdi AlqarniDepartment of Special Education, Faculty of Education, Najran University, Najran, Kingdom of Saudi Arabia.
Burhan Mahmoud HamadnehDepartment of Special Education, Faculty of Educational Sciences, Ajloun National University, Jordan.
Malek Turki JdaitawiImam Abdulrahman bin Faisal University, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart home technologies (the Internet of Things [IoT]) are increasingly being implemented in human life, and a growing body of evidence demonstrates their usefulness for people with disabilities and elderly people. To fully benefit from their use, these individuals must know the different existing tools and their potential and be trained and motivated to use them. The current study aims to evaluate the factors that promote the use of smart home technologies (IoT) in people's lives. Data were gathered from 130 Saudi individuals via a survey questionnaire. Mean, standard deviation, and MANOVA were calculated. According to the results, the participants showed a moderate perception toward IoT technologies, with a mean score of (M = 2.06 and SD = 0.328). Moreover, no statistically significant differences were found in the perceived usefulness of the IoT and its dimensions (usage, skills, obstacles, and inclusion) among participants, based on gender, education level, category, experience, and devices used. While elder participants demonstrated higher perceived usefulness and perceived obstacles than the younger participants, as evidenced by the statistically significant differences in the results (MS = 0.432, F = 4.197, Sig0.017 < 0.05; MS = 0.545, F = 4.615, Sig0.012 < 0.05), the usage, skills, and inclusion dimensions showed no significant differences by participants' ages (MS = 1.080, F = 3.035, Sig0.052 > 0.05; MS = 0.584, F = 2.882, Sig0.060 > 0.05; MS = 0.255, F = 1.939, Sig0.148 > 0.05, respectively). The results support the relevance of providing knowledge and enhancing skills, thereby fostering a positive perception of IoT technologies. This study is one of the few addressing IoT technologies in special needs settings in the Middle East region. It has the potential to support evidence that IoT technologies are especially significant for people with special needs and elderly individuals.

Identifiers

PMID38322915
PMCPMC10844255

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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.