Evidence map›Paper›PMID 34889755›Full record

ArticleJMIR aging2021

Falls Detection and Prevention Systems in Home Care for Older Adults: Myth or Reality?

Marion Pech, Helene Sauzeon, Thinhinane Yebda, Jenny Benois-Pineau, Helene Amieva

Abstract read
In one paragraph

Article in JMIR aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Technology to Support Older Adults in Home Palliative Care: A Scoping Review.The American journal of hospice & palliative care · 2024
    Article
  12. Review
  13. Article
  14. 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

5 authors.

Marion Pech *Medical Research Unit 1219, Bordeaux Population Health Research Center, Inserm, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0003-3636-5231
Helene Sauzeon *National Institute for Research in Digital Science and Technology, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0001-5781-9891
Thinhinane YebdaMedical Research Unit 5800, Laboratoire Bordelais de Recherche en Informatique, National Center for Scientific Research, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0003-3395-3249
Jenny Benois-PineauMedical Research Unit 5800, Laboratoire Bordelais de Recherche en Informatique, National Center for Scientific Research, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0003-0659-8894
Helene Amieva *Medical Research Unit 1219, Bordeaux Population Health Research Center, Inserm, University of Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0002-0119-7242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an exponential increase in the range of digital products and devices promoting aging in place, in particular, devices aiming at preventing or detecting falls. However, their deployment is still limited and only few studies have been carried out in population-based settings owing to the technological challenges that remain to be overcome and the barriers that are specific to the users themselves, such as the generational digital divide and acceptability factors specific to the older adult population. To date, scarce studies consider these factors. To capitalize technological progress, the future step should be to better consider these factors and to deploy, in a broader and more ecological way, these technologies designed for older adults receiving home care to assess their effectiveness in real life.

Indexed as

acceptabilityagingbarriersdetectiondigital divideelderly peoplefallfall preventionfallsgeriatricshome carenew technologiesseniorstechnology acceptance

Identifiers

PMID34889755
PMCPMC8704100

What OpenQuestion holds

Textmetadata
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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.