Evidence map›Paper›PMID 36278765›Full record

ArticleNursing reports (Pavia, Italy)2022

Verbal Communication with the Patient Is Not Enough: The Six Languages of the Sick.

Carlo Valerio Bellieni

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Adapting across borders: Indonesian nurses' experiences in KSA.Journal of Taibah University Medical Sciences · 2025
    Article
  2. Inferring social signals from the eyes in male schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024
    Article
  3. 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

1 author.

Carlo Valerio BellieniDepartment of Molecular Medicine and Development, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-4037-5259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence shows that verbal communication is just one of the ways patients indicate their wishes. For a sufficiently careful communication, we should also grasp other five unusual though evident languages: (a) body language, (b) the way patients manage their environment, (c) unconscious language, (d) lab-evidenced language, and (e) the way they master technology. So, we have six languages that should be intertwined to understand the real language of the sick. Grasping these languages helps health professionals frame the patient's mood, their level of suffering or mental growth, and understand what words alone cannot express. Words cannot express completely what a patient senses: for subjection, shyness, because some patients are still non-verbal or because verbal communication is just a useful way of freezing concept but has not the same fluidity and liberty of the other above-described languages. It is mandatory for caregivers to wonder how many of these languages they are actually decrypting during an interview with the patient. On the other hand, caregivers unconsciously communicate much through two unexpected languages: the architectural language and the language of medical procedures. The way they welcome or obstruct the patient, their hesitations across a treatment, or in showing a serene collegiality are forms of subtle communication. A paradigmatic scenario where all these languages should be implemented is the "informed consent" process, which should be turned into a "shared therapeutic pathway", summing up all the communicative modes illustrated in the text.

Indexed as

communicationholistic carelanguagepainpalliative care

Identifiers

PMID36278765
PMCPMC9624342

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.