Evidence map›Paper›PMID 38486582›Full record

ArticleMedEdPublish (2016)2021

Delivery of Difficult News Among Residents at a Tertiary Hospital In Kenya Using a Short Training Video (UNMASKES).

Karishma Sharma, Jasmit Shah, Zohray Talib, Sayed Ali

Open access · goldAbstract readNews
In one paragraph

Article in MedEdPublish (2016), 2021. 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
–field-weighted citation impact, top 90% 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, 0 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

4 authors.

Karishma SharmaAga Khan University.
Jasmit ShahAga Khan University.
Zohray TalibCalifornia University of Science and Medicine.
Sayed AliAga Khan University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article was migrated. The article was marked as recommended. Background Delivery of difficult news (DDN) remains a challenging task for even the most experienced of providers. Little has been studied about delivery of difficult news among resident physicians in sub-Saharan Africa (SSA). We developed a 4-minute, graphic video using the acronym UNMASKES to help improve delivery of difficult news between resident physicians and their patients. Objective To determine the impact of the UNMASKES training video in improving resident communication when delivering difficult news. Methods We conducted a prospective study amongst all residents at the Aga Khan University hospital in Nairobi, Kenya and Dar es Salaam, Tanzania from February to September, 2019. After completing a pretest survey, residents received a one-hour comprehensive training on delivery of difficult news using UNMASKES. A link to the UNMASKES video was provided to the residents for real-time reference. Post-test surveys were completed at 4 and 12 weeks respectively. Results A total of 102 (68%) residents completed the surveys. At 12 weeks, we found that residents improved in 6 key areas; notified their patients before delivering difficult news, ensured a private and quiet room, provided information in small amounts to patients and family members, provided a summary after delivery of difficult news, followed up with patients at 24-48 hours after delivering difficult news, and felt better prepared to deal with patient and family emotions when delivering difficult news. Conclusions UNMASKES, a 4-minutes, easily accessible, graphic video showed promising results in training our residents to foster effective communication while delivering difficult news to their patients.

Indexed as

Delivery of difficult newseffective communicationresidentssub-Saharan Africa.

Identifiers

PMID38486582
PMCPMC10939531
OpenAlexW3160780618

What OpenQuestion holds

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Registered trials

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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.