Evidence map›Paper›PMID 33707795›Full record

ReviewReumatologia2021

Smart homes for the older population: particularly important during the COVID-19 outbreak.

Karolina Gawrońska, Jacek Lorkowski

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Reumatologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Karolina GawrońskaRehabilitation Centre of the Central Clinical Hospital of the Ministry of the Internal Affairs and Administration in Warsaw, Poland.
Jacek LorkowskiClinical Department of Orthopaedics, Traumatology and Sports Medicine of the Central Clinical Hospital of the Ministry of the Internal Affairs and Administration in Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis, one of the leading causes of disability in older adults, significantly reduces the quality of life and leads to loss of independence. Dynamic development of "smart" solutions based on artificial intelligence more and more commonly applied in older people's houses may be an answer to the above issues. The aim of this study is to present selected "smart home" solutions for the diagnosis and prevention of falls in the older population through a literature review. The conducted meta-analysis based on a review of the scientific literature available in English and Polish in the Medline/PubMed, Embase, Scopus, and GBL databases was undertaken from 01.01.2015 to 01.10.2020 with the string search method using key words. According to the authors of this study, the development of new technology based on artificial intelligence allows older people to live independently, which contributes to a higher level of life satisfaction and quality.

Indexed as

artificially intelligent home monitoringfall preventionhome hazardsinnovative assisted living tools

Identifiers

PMID33707795
PMCPMC7944953

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.