Evidence map›Paper›PMID 19698026›Full record

ArticleJournal of palliative medicine2009

Compassionate silence in the patient-clinician encounter: a contemplative approach.

Anthony L Back, Susan M Bauer-Wu, Cynda H Rushton, Joan Halifax

Open access · greenAbstract read
In one paragraph

Article in Journal of palliative medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.2field-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

30 citing papers in PubMed, 112 citations in OpenAlex.

  1. Trial
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  10. The Art of Saying Nothing.Pediatrics · 2022
    Article
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  13. Review
  14. Article
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  16. Review
  17. Reading the Room: Lessons on Holding Space and Presence.Journal of cancer education : the official journal of the American Association for Cancer Education · 2018
    Article
  18. Article
  19. Article
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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 at 3 institutions in 1 country.

Anthony L BackDepartment of Medicine, University of Washington, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. tonyback@u.washington.edu
Susan M Bauer-Wu
Cynda H Rushton
Joan Halifax
Emory University · USFred Hutch Cancer Center · USJohns Hopkins University · US

Funding

Mindfulness Meditation in Bone Marrow TransplantationR01NR009257 · NINR · EMORY UNIVERSITY · PI BAUER-WU, SUSAN M. · 2005 to 2009
$2.3M
Training Oncology Faculty to Teach Communication SkillsR25CA119012 · NCI · UNIVERSITY OF WASHINGTON · PI BACK, ANTHONY L · 2006 to 2010
$1.5M
NCI NIH HHS CA R25 119012NINR NIH HHS R01NR009257
6 · The paper itself

Abstract

In trying to improve clinician communication skills, we have often heard clinicians at every level admonished to "use silence," as if refraining from talking will improve dialogue. Yet we have also noticed that this "just do it," behavior-focused "use" of silence creates a new, different problem: the clinician looks uncomfortable using silence, and worse, generates a palpable atmosphere of unease that feels burdensome to both the patient and clinician. We think that clinicians are largely responsible for the effect of silence in a clinical encounter, and in this article we discuss what makes silence enriching--enabling a kind of communication between clinician and patient that fosters healing. We describe a typology of silences, and describe a type of compassionate silence, derived from contemplative practice, along with the mental qualities that make this type of silence possible.

Indexed as

EmpathyPhysician-Patient RelationsProfessional-Family RelationsTruth DisclosureCommunicationHumans

Identifiers

PMID19698026
PMCPMC2939848
OpenAlexW2082029102

What OpenQuestion holds

Textmetadata
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.