Evidence map›Paper›PMID 40104362›Full record

ArticleJournal of education and health promotion2025

Exploring academic dishonesty among medical students during clinical rotations: Prevalence, causes, and types in NKUMS, Iran.

Morteza Rastgar, Saeed Rabbani, Esmaeil Farrokhi, Hasan Namdar Ahmadabad

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2025. 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

4 authors.

Morteza RastgarDepartment of General Courses and Islamic Studies, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Saeed RabbaniDepartment of Research Committee, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Esmaeil FarrokhiDepartment of Internal Medicine, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Hasan Namdar AhmadabadVector-Borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnourd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a descriptive-analytical study, we investigated academic dishonesty among general medical students during clinical rotations and proposed suggestions for improvement. A total of 106 medical students in the clinical periods were randomly selected for the study. We used a questionnaire consisting of four parts: demographic characteristics, causes of dishonesty, types of dishonesty, and suggestions for reducing dishonesty. The results showed that 50% of the students had a history of dishonesty during their clinical rotations. Marital status and the stage of clinical education were found to be related to dishonesty. The main reasons for dishonesty reported by the students were distress during clinical rotations and a lack of alignment between clinical education and their expectations. Common types of dishonesty during clinical rotations included gathering exam information from previous students and falsifying attendance records. The study concludes that the high prevalence of academic dishonesty among medical students during clinical rotations is concerning. It suggests the need to address distress among students, align clinical education with learners' expectations, and continuously monitor academic integrity to reduce dishonesty.

Indexed as

Academic dishonestyacademic integrityclinical rotationsmedical educationmedical students

Identifiers

PMID40104362
PMCPMC11918304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.