Potential Dropout Thoughts and Their Influencing Factors Among Medical Students

The frequency of dropout thoughts among LMDC medical students was markedly elevated. Nonetheless, the contemplation of withdrawal was infrequent. To alleviate the danger of real withdrawal, formal academic advising programs should be established to detect and assist individuals exhibiting early indicators of difficulty.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2024-11-29
DOI
https://doi.org/10.7759/cureus.74757
Citations
3
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
2.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential Dropout Thoughts and Their Influencing Factors Among Medical Students

Sadia Nazir, Hassan Ali, Attiqa Khalid, Danish Yousaf et al.
3 citations
Cureus
Healthcare professionals’ stress and burnout
2.55
article

Potential Dropout Thoughts and Their Influencing Factors Among Medical Students

Sadia Nazir, Hassan Ali, Attiqa Khalid, Danish Yousaf, Muhammad Ahsan Chattha
article en
3 citations

Abstract

The frequency of dropout thoughts among LMDC medical students was markedly elevated. Nonetheless, the contemplation of withdrawal was infrequent. To alleviate the danger of real withdrawal, formal academic advising programs should be established to detect and assist individuals exhibiting early indicators of difficulty.

CureusVol. 16(11)
CMH Lahore Medical College and Institute of Dentistry (PK)
Openalex Percentile: Top 9%
Healthcare professionals’ stress and burnout
2.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.