Evidence map›Paper›PMID 36355629›Full record

ArticleJMIR formative research2022

Lessons Learned From the SoBeezy Program for Older Adults During the COVID-19 Pandemic: Experimentation and Evaluation.

Marion Pech, Antoine Gbessemehlan, Lucile Dupuy, Hélène Sauzéon, Stéphane Lafitte, Philippe Bachelet, Hélène Amieva, Karine Pérès

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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

8 authors at 2 institutions in 1 country.

Marion Pech *Bordeaux Population Health Research Center, Inserm, UMR 1219, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0003-3636-5231
Antoine Gbessemehlan *Bordeaux Population Health Research Center, Inserm, UMR 1219, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0002-0725-8253
Lucile DupuyBordeaux Population Health Research Center, Inserm, UMR 1219, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0001-8107-9758
Hélène SauzéonBordeaux Population Health Research Center, Inserm, UMR 1219, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0001-5781-9891
Stéphane LafitteThe SoBeezy Project, Pessac, France.ORCID https://orcid.org/0000-0003-4477-6065
Philippe BacheletThe SoBeezy Project, Pessac, France.ORCID https://orcid.org/0000-0002-6773-8929
Hélène AmievaBordeaux Population Health Research Center, Inserm, UMR 1219, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0002-0119-7242
Karine Pérès *Bordeaux Population Health Research Center, Inserm, UMR 1219, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0002-0720-0684
Université de Bordeaux · FRSuez (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe SoBeezy program is an innovative intervention aimed at promoting and fostering healthy aging and aging in place by proposing to older adults concrete solutions to face daily life, tackle loneliness, promote social participation, and reduce the digital divide, thanks to a specific, easy-to-use voice assistant (the BeeVA smart display).

objectiveThis study aims to assess the acceptability of the SoBeezy program and its voice assistant and to identify potential areas of improvement.

methodsA 12-month experimentation of the program was deployed in real-life conditions among older adults living in the community in 4 pilot cities of France. Launched during the first lockdown of the COVID-19 crisis, this multisite study aimed to assess acceptability using questionnaires and interviews conducted at baseline and at the end of the experimentation. In addition, a series of meetings were conducted with SoBeezy staff members to obtain direct feedback from the ground.

resultsIn total, 109 older individuals were equipped with BeeVA to use the SoBeezy program; of these, 32 (29.4%) left the experimentation before its end and 69 (63.3%) completed the final questionnaires. In total, 335 interventions were conducted and 27 (39%) of the participants requested services, mainly for supportive calls and visits and assistance with shopping, transportation, and crafting-gardening. Of the whole sample, 52 (75%) considered BeeVA as a reassuring presence, and few persons (15/69, 22%) reported a negative opinion about the program. Among the participants, the voice assistant appeared easy to use (n=57, 82%) and useful (n=53, 77%). They also were positive about the BeeVA smart display and the SoBeezy intervention.

conclusionsThis multisite study conducted in real-life conditions among more than 100 older adults living in the community provides enlightening results of the reality from the ground of digital tools designed for the aging population. The COVID-19 context appeared both as an opportunity, given the massive needs of the older adults during this crisis, and as limiting due to sanitary constraints. Nevertheless, the experimentation showed overall good acceptability of the voice assistant and a high level of satisfaction of the participants among those who really used the system and could be a way of improving the autonomy and well-being of older adults and their families. However, the findings also highlighted resistance to change and difficulties for the users to ask for help. The experimentation also emphasized levers for next deployments and future research. The next step will be the experimentation of the activity-sharing component that could not be tested due to the COVID-19 context.

Indexed as

acceptabilityagingCOVID-19digital divideelderly populationhealthy agingliving in placeolder adultssocial isolationtechnologiesvoice assistancevoice assistant

Identifiers

PMID36355629
PMCPMC9697092
OpenAlexW4308687182

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.