A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@remsenmedia.com&api_key=81853a771c3a3a2c6b2553a65bc33b056f08&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

The effects of mindfulness-based interventions on alleviating academic burnout in medical students: a systematic review and meta-analysis. | LitMetric

The effects of mindfulness-based interventions on alleviating academic burnout in medical students: a systematic review and meta-analysis.

BMC Public Health

Department of Rehabilitation Medicine, School of Health, Fujian Medical University, No. 1 Xuefu North Road, University town, Fuzhou, Fujian, 350122, China.

Published: May 2024

Background: Mindfulness-based interventions have been tested to be the effective approach for preventing/reducing burnout in medical students. Therefore, this systematic review and meta-analysis aimed to synthesize the scientific evidence and quantify the pooled effect of MBIs on the burnout syndrome in medical students.

Methods: A comprehensive literature search was conducted in the databases, including PubMed, Embase, ERIC, PsycINFO, Scopus, Cochrane Central Register of Controlled Trials (CENTRAL), China National knowledge Information Database (CNKI) and WanFang Database from database inception to February 2023 using the terms of "mindfulness", "burnout" and "medical students". Two reviewers independently reviewed the studies, and extracted the data of the eligible studies, as well as assessed the risk of bias. A random-effects model was employed to calculate the standardized mean differences (SMD) with 95% confidence intervals (CI) of overall burnout and its sub-domains of burnout (i.e., emotional exhaustion, cynicism, and academic efficacy).

Results: Of 316 records in total, nine studies (with 810 medical students) were ultimately included. The four RCT studies demonstrated an overall judgment of some concerns risk of bias, and the overall risk of biases of the five qRCT studies were judged as serious. In term of the SORT, the RCT and qRCT studies were evaluated as level 2 evidence, and the overall strength of recommendation was classified as B (limited-quality patient-oriented evidence). The pooled analysis showed that MBIs were associated with significant small to moderate improvements for medical students' overall burnout (SMD=-0.64; 95% CI [-1.12, -0.16]; P = 0.009) in the included four RCTs, emotional exhaustion (SMD=-0.27; 95% CI [-0.50, -0.03]; P = 0.03) and academic efficacy (SMD = 0.43; 95% CI [0.20, 0.66]; P<0.001) in the four qRCTs.

Conclusions: MBIs can serve as an effective approach for reducing burnout symptoms in medical students. Future high-quality studies with a larger sample size and robust randomized controlled trial methodologies should be obtained to reinforce the effectiveness of MBIs for reducing academic burnout in medical students.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11129439PMC
http://dx.doi.org/10.1186/s12889-024-18938-4DOI Listing

Publication Analysis

Top Keywords

medical students
12
mindfulness-based interventions
8
burnout medical
8
students systematic
8
systematic review
8
review meta-analysis
8
risk bias
8
emotional exhaustion
8
qrct studies
8
burnout
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!