Evidence map›Paper›PMID 36679590›Full record

ArticleSensors (Basel, Switzerland)2023

Design and Evaluation of Personalized Services to Foster Active Aging: The Experience of Technology Pre-Validation in Italian Pilots.

Letizia Lorusso, Miran Mosmondor, Andrej Grguric, Lara Toccafondi, Grazia D'Onofrio, Sergio Russo, Jure Lampe, Tarmo Pihl, Nicolas Mayer, Gianna Vignani and 8 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
18.2field-weighted citation impact, top 1% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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

18 authors at 7 institutions in 5 countries.

Letizia LorussoInnovation and Research Unit, IRCCSFondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Foggia, Italy.ORCID 0000-0002-2058-9284
Miran MosmondorEricsson Nikola Tesla d.d., Krapinska 45, 10002 Zagreb, Croatia.
Andrej GrguricEricsson Nikola Tesla d.d., Krapinska 45, 10002 Zagreb, Croatia.ORCID 0000-0002-7894-8163
Lara ToccafondiUmana Persone Development & Research Social Enterprise, 58100 Grosseto, Italy.
Grazia D'OnofrioClinical Psychology Service, Health Department, IRCCSFondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Foggia, Italy.ORCID 0000-0002-5905-6063
Sergio RussoInnovation and Research Unit, IRCCSFondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Foggia, Italy.ORCID 0000-0002-8773-8651
Jure LampeSenLab, 1000 Ljubljana, Slovenia.
Tarmo PihlSentab, 10134 Tallin, Estonia.
Nicolas MayerAscora GMBH, D-27777 Ganderkesee, Germany.
Gianna VignaniUmana Persone Development & Research Social Enterprise, 58100 Grosseto, Italy.
Isabelle LesterptGérontopòle Nouvelle-Aquitaine, 87069 Limoges, France.
Lucie VaamondeGérontopòle Nouvelle-Aquitaine, 87069 Limoges, France.
Francesco GiulianiInnovation and Research Unit, IRCCSFondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Foggia, Italy.ORCID 0000-0002-5707-2158
Manuele BonaccorsiCo-Robotics s.r.l., 56125 Capannoli, Pisa, Italy.
Carlo La ViolaDepartment of Industrial Engineering, University of Florence, 50139 Firenze, Italy.
Erika RoviniDepartment of Industrial Engineering, University of Florence, 50139 Firenze, Italy.ORCID 0000-0002-7906-9013
Filippo CavalloDepartment of Industrial Engineering, University of Florence, 50139 Firenze, Italy.ORCID 0000-0001-7432-5033
Laura FioriniDepartment of Industrial Engineering, University of Florence, 50139 Firenze, Italy.ORCID 0000-0001-5784-3752
Casa Sollievo della Sofferenza · ITUniversity of Florence · ITEricsson (Croatia) · HRMédipole Garonne · FRAscora (Germany) · DEIT+Robotics (Italy) · ITXLAB (Slovenia) · SI

Funding

European Union 857188
6 · The paper itself

Abstract

Assistive devices could promote independent living and support the active and healthy aging of an older population; however, several factors can badly influence the long-term use of new technologies. In this context, this paper presents a two-step methodology called “pre-validation” that aims to identify the factors that can bias the use of new services, thus minimizing the risk of an unsuccessful longer trial. The proposed pre-validation methodology is composed of two main phases that aim to assess the usability and the reliability of the technology assessed in a laboratory environment and the usability, acceptability, user experience, and reliability of the technology in real environments. The tested services include the socialization scenario, in which older adults are better connected to the community via technological solutions (i.e., socialization applications), and the monitoring scenario, which allows for the introduction of timely interventions (technologies involved include environmental monitoring sensors, a telepresence robot, wearable sensors, and a personalized dashboard). The obtained results underline an acceptable usability level (average System Usability Scale score > 65) for the tested technologies (i.e., socialization applications and a telepresence robot). Phase Two also underlines the good acceptability, user experience, and usability of the tested services. The statistical analysis underlines a correlation between the stress related to the use of technology, digital skills, and intention of use, among other factors. Qualitative feedback also remarks on a correlation between older adults with low digital skills and an anxiety about using technology. Positive correlation indexes were highlighted between the trust and usability scores. Eventually, future long-term trials with assistive technology should rely on motivated caregivers, be founded on a strong recruitment process, and should reassure older adults—especially the ones with low digital literacy—about the use of technology by proposing personalized training and mentoring, if necessary, to increase the trust.

Indexed as

PilotsAgedAgingHumansIndependent LivingReproducibility of ResultsTechnologyactive agingolder adultspilotspre-validationtechnological personalized assistive service

Identifiers

PMID36679590
PMCPMC9863060
OpenAlexW4315570809

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.