Evidence map›Paper›PMID 37016635›Full record

ArticlePEC innovation2023

Teaching (remotely) to communicate (remotely) with relatives of patients during lockdown due to the COVID-19 pandemic.

Ara Ayora, Carme Nogueras, Sonia Jiménez-Panés, Sergi Cortiñas-Rovira

Abstract read
In one paragraph

Article in PEC innovation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ara AyoraScientific Communication Research Group (GRECC), Department of Communication, Universitat Pompeu Fabra, Barcelona, Spain.
Carme NoguerasGeriatric Department at Hospital Universitari Germans Trias i Pujol in Barcelona, Spain.
Sonia Jiménez-PanésSocial Work at Psycho-pedagogical care team B-27, Barcelona, Spain.
Sergi Cortiñas-RoviraScientific Communication Research Group (GRECC), Department of Communication, Universitat Pompeu Fabra and UPF-BSM Barcelona School of Management, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: In 2020, due to the pandemic, the lack of specific knowledge on breaking bad news over the phone became apparent. This study aims at assessing the differences, or lack thereof, in satisfaction reported by participants in the different formats of a course in telephone communication for breaking bad news to families of patients, developed based on the previous experience of a team dedicated to this task during the peak of the pandemic. Methods: Four courses were delivered, two in a fully streamed format and two in a blended format, part pre-recorded, part streamed. There were 41 attendants, mostly doctors, but also nurses, social workers, occupational therapists, and administrative staff who deal with families. Subsequently, a survey was conducted to assess the degree of satisfaction of the participants. Results: Both formats scored very positively, with small advantages for the fully streamed format, mainly due to the difference in interaction activities. Conclusions: The main conclusion is the need for these courses, which are demanded by the professionals themselves, without forgetting the benefit obtained from interprofessional education that enriches interaction and learning. Innovation: The inclusion of administrative staff allows for a global vision of care for family members, which improves it.

Indexed as

Bad newsCommunicationCOVID-19Interprofessional educationMedical EducationProfessional patient relations

Identifiers

PMID37016635
PMCPMC10052879

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.