Effectiveness of self-compassion training on resilience and reflective thinking among nursing and midwifery students: a clinical trial

This trial's protocol was registered in the Iranian Clinical Trials Registration system on September 28, 2022 (Trial Number: IRCT20220830055827N1). This Protocol is available in https://irct.behdasht.gov.ir/trial/65728 .

Authors

Institutions

Publication Details

Journal
BMC Medical Education
Published
2025-12-08
DOI
https://doi.org/10.1186/s12909-025-08284-3
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effectiveness of self-compassion training on resilience and reflective thinking among nursing and midwifery students: a clinical trial

Farahnaz Kamali, Razieh Bagherzadeh, Masoud Bahreini, Zohreh Zarghamian
BMC Medical Education
Healthcare professionals’ stress and burnout
article

Effectiveness of self-compassion training on resilience and reflective thinking among nursing and midwifery students: a clinical trial

Farahnaz Kamali, Razieh Bagherzadeh, Masoud Bahreini, Zohreh Zarghamian
article en

Abstract

This trial's protocol was registered in the Iranian Clinical Trials Registration system on September 28, 2022 (Trial Number: IRCT20220830055827N1). This Protocol is available in https://irct.behdasht.gov.ir/trial/65728 .

BMC Medical EducationVol. 25(1)
Bushehr University of Medical Sciences (IR)
Bushehr University of Medical Sciences
Openalex Percentile: Top 45%
Healthcare professionals’ stress and burnout
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.