Evidence map›Paper›PMID 36616866›Full record

Trial reportSensors (Basel, Switzerland)2022

Improvement in Quality of Life with Use of Ambient-Assisted Living: Clinical Trial with Older Persons in the Chilean Population.

Carla Taramasco, Carla Rimassa, Felipe Martinez

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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.

Carla TaramascoInstituto de Tecnología para la Innovación en Salud y Bienestar, Facultad de Ingeniería, Universidad Andrés Bello, Quillota 980, Viña del Mar 2531015, Chile.ORCID 0000-0001-8318-4201
Carla RimassaEscuela de Fonoaudiología, Interdisciplinary Center for Territorial Health Research (CIISTe), Facultad de Medicina, Campus San Felipe, Universidad de Valparaíso, La Troya/El Convento S/N, San Felipe 2170000, Chile.ORCID 0000-0003-3001-8167
Felipe MartinezFacultad de Medicina, Escuela de Medicina, Universidad Andrés Bello, Viña del Mar 2531015, Chile.

Funding

Agencia Nacional de Investigación y Desarrollo FONDECYT Regular 1201787 (Multimodal machine learning approach for detecting pathological activity patterns in elderlies)Agencia Nacional de Investigación y Desarrollo Millennium Nucleus of Sociomedicine program N° NCS2021_013
6 · The paper itself

Abstract

In Chile, 18% of the population is over 60 years old and is projected to reach 31% in three decades. An aging population demands the development of strategies to improve quality of life (QoL). In this randomized trial, we present the implementation and evaluation of the Quida platform, which consists of a network of unintrusive sensors installed in the houses of elderly participants to monitor their activities and provide assistance. Sixty-nine elderly participants were included. A significant increase in overall QoL was observed amongst participants allocated to the interventional arm (p < 0.02). While some studies point out difficulties monitoring users at home, Quida demonstrates that it is possible to detect presence and movement to identify patterns of behavior in the sample studied, allowing us to visualize the behavior of older adults at different time intervals to support their medical evaluation.

Indexed as

Ambient IntelligenceQuality of LifeAgedAged, 80 and overAgingChileHumansMiddle Agedage-friendly environmentsage in placeambient assisting livinghealthy agingquality of lifesensors

Identifiers

PMID36616866
PMCPMC9824674

What OpenQuestion holds

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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.