Evidence map›Paper›PMID 37799155›Full record

ReviewFrontiers in public health2023

Technology adoption review for ageing well: analysis of technical solutions.

Ishaya Gambo, M Victoria Bueno-Delgado, Kerli Mooses, Francisco J Melero Muñoz, Rina Zviel-Girshin, Aliaksei Andrushevich, Michael Mrissa, Agnieszka Landowska, Kuldar Taveter

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Ishaya GamboInstitute of Computer Science, University of Tartu, Tartu, Estonia.
M Victoria Bueno-DelgadoDepartment of Information and Communication Technologies, Universidad Politécnica de Cartagena, Antiguo Cuartel de Antigones, Cartagena, Spain.
Kerli MoosesInstitute of Computer Science, University of Tartu, Tartu, Estonia.
Francisco J Melero MuñozDepartment of Information and Communication Technologies, Universidad Politécnica de Cartagena, Antiguo Cuartel de Antigones, Cartagena, Spain.
Rina Zviel-GirshinSchool of Engineering, Ruppin Academic Center, Emek Hefer, Israel.
Aliaksei AndrushevichHomeLab, Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland.
Michael MrissaInnoRenew CoE, Izola, Slovenia.
Agnieszka LandowskaDepartment of Software Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland.
Kuldar TaveterInstitute of Computer Science, University of Tartu, Tartu, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While several technological solutions are available for older adults to improve their wellbeing and quality of life, little is known about the gaps between the needs, provided solutions, and their adoption from a more pragmatic perspective. This paper reports on reviewing existing technological solutions for older adults, which span the work life, life in the community, and wellbeing at home. We analyzed 50 different solutions to uncover both negative and positive features of these solutions from the perspective of the impact of technology adoption on the quality of life of older adults. Our approach harnesses holistic reasoning to determine the most suitable technologies available today and provides suggestions for improvement toward designing and implementing better solutions.

Indexed as

Healthy AgingQuality of LifeTechnologyageing wellhealthy lifestyleInformation and Communication TechnologiesInternet of Thingsolder adultsQuality of Lifetechnology adoption

Identifiers

PMID37799155
PMCPMC10549926

What OpenQuestion holds

Textmetadata
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.