Evidence map›Paper›PMID 38173995›Full record

ReviewProceedings (Baylor University. Medical Center)2024

A comprehensive analysis of different types of clinical rounds in hospital medicine.

Tanveer Shaik, Kanishk Aggarwal, Bhupinder Singh, Aanchal Sawhney, Riya Naguluri, Rohit Jain, Rahul Jain

Abstract readReview
In one paragraph

Review in Proceedings (Baylor University. Medical Center), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Delivering on our educational and clinical missions as teaching physicians.Proceedings (Baylor University. Medical Center) · 2024
    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

7 authors.

Tanveer ShaikAvalon University School of Medicine, Willemstad, Curacao.
Kanishk AggarwalDayanand Medical College, Ludhiana, India.
Bhupinder SinghGovernment Medical College, Amritsar, India.ORCID https://orcid.org/0009-0004-9218-0885
Aanchal SawhneyDepartment of Internal Medicine, Crozer Chester Medical Center, Upland, Pennsylvania, USA.
Riya NaguluriGreat Valley High School, Malvern, Pennsylvania, USA.
Rohit JainAvalon University School of Medicine, Willemstad, Curacao.ORCID https://orcid.org/0000-0002-9101-2351
Rahul JainAvalon University School of Medicine, Willemstad, Curacao.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Table rounds and bedside rounds are two methods healthcare professionals employ during clinical rounds for patient care and medical education. Bedside rounds involve direct patient engagement and physical examination, thus significantly impacting patient outcomes, such as improving communication and patient satisfaction. Table rounds occur in a conference room without the patient present and involve discussing patient data, which is more effective in fostering structured medical education. Both bedside and table rounds have pros and cons, and healthcare professionals should consider the specific requirements of their patients and medical trainees when deciding which approach to use. This research utilized a comprehensive search to identify relevant resources, such as university website links, as well as a PubMed search using relevant keywords such as 'bedside rounding,' 'table rounding,' and 'patient satisfaction.' Relevance, publication date, and study design were the basis for inclusion criteria. This study compared the effectiveness of these two methods based on physician communication, medical education, patient care, and patient satisfaction.

Indexed as

Bedside roundingpatient satisfactiontable rounding

Identifiers

PMID38173995
PMCPMC10761014

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.