Evidence map›Paper›PMID 33598307›Full record

ArticleDigital health

Effectiveness and organizational conditions of effectiveness of telemedicine in nursing homes. A study protocol of a comparative prospective cohort (EFFORT study).

Nathalie Salles, Florence Saillour-Glénisson, Matthieu Sibe, Emmanuel Langlois, Marion Kret, Jessica Durrieu, Nora Arditi, Maelys Abraham, Frederic Perry

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 1 country.

Nathalie SallesPole de Gérontologie Clinique, CHU Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0001-6781-1623
Florence Saillour-GlénissonUnité de Soutien Méthodologique à la Recherche Clinique et Épidémiologique du CHU de Bordeaux, Bordeaux, France.
Matthieu SibeInstitut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université de Bordeaux, Bordeaux, France.
Emmanuel LangloisCentre Emile Durkheim, Science Politique et Sociologie Comparatives (UMR 5116), Université de Bordeaux, Bordeaux, France.ORCID https://orcid.org/0000-0001-9733-5808
Marion KretUnité de Soutien Méthodologique à la Recherche Clinique et Épidémiologique du CHU de Bordeaux, Bordeaux, France.
Jessica DurrieuPole de Gérontologie Clinique, CHU Bordeaux, Bordeaux, France.
Nora ArditiInstitut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université de Bordeaux, Bordeaux, France.
Maelys AbrahamCentre Emile Durkheim, Science Politique et Sociologie Comparatives (UMR 5116), Université de Bordeaux, Bordeaux, France.
Frederic PerryRecherche Clinique et de l'Innovation, CHU Bordeaux, Bordeaux, France.
Centre Hospitalier Universitaire de Bordeaux · FRPolyclinique de Bordeaux-Tondu · FRSciences Po Bordeaux · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The profile of nursing home (NH) residents has changed over the past decade with more dependency, more severe chronic diseases and more treatments prescribed. For residents, the major consequence is the higher risk of unplanned hospitalization. French guidelines recommend the development of interactive telemedicine (

Indexed as

geriatricsmultimorbidityqualitative researchquantitativeTelemedicine

Identifiers

PMID33598307
PMCPMC7841670
OpenAlexW3125541350

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.