Evidence map›Paper›PMID 38681372›Full record

ArticleCureus2024

Role Modeling Kindness at the Bedside.

Lauren Fine, Tina Takla, Vijay Rajput

Abstract readEditorial
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Lauren FineDr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Fort Lauderdale, USA.
Tina TaklaDr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, USA.
Vijay RajputDr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Fort Lauderdale, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compassion and kindness are interchangeable attitudes and behaviors in society. As evidence shows the importance of compassion and kindness in healthcare, there has been a push to nurture and teach compassion through experiential learning in medical schools. However, there is not much evidence of educating learners on the importance of kindness as the complement or foundation of compassion and empathy. Kindness is the ability to act positively and appropriately and can be provided without emotion, judgment, or expecting anything in return. Kindness does not require the receiver to be in severe distress or suffering. Acts of kindness can be random acts done to anyone, anytime, with or without illness or suffering. Research shows that kindness elevates the healthcare profession for both clinicians and patients. Compassion and kindness must be taught through the integrated approach of role modeling, observation, practice, experience, and reflection in the classroom and in the clinical environment. It is vital that medical schools and healthcare institutions' faculty and staff make kindness to patients, families, and staff a key behavior, along with compassion and empathy. There is more that can be done to encourage acts of kindness through everyday actions; educators can display kindness toward colleagues and medical students in their learning. Kindness can improve conversations with patients and improve the emotional and social well-being of learners. Displaying kindness during bedside or classroom teaching would engrain its importance in the professional identity formation of future generations of physicians.

Indexed as

bedside teachingcompassionempathygenerationskindnessrole modeling

Identifiers

PMID38681372
PMCPMC11046334

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.