Motivational interviewing for students in school settings: A meta-analysis.

J Sch Psychol

Meadows Center for Preventing Educational Risk, The University of Texas at Austin, 1 University Station, D5300 SZB 5.048H, Austin, TX 78712, USA. Electronic address:

Published: December 2024

Motivational Interviewing (MI) is a brief counseling intervention with demonstrated efficacy in ameliorating unhealthy habits across populations, behaviors, and settings. Although prior research underscores its benefit with adolescents, a comprehensive examination of its application in school settings remains unexplored. Therefore, the primary aim of the present meta-analysis was to calculate the average estimated effect of all studies examining the use of MI with students in school settings. Second, we sought to examine heterogeneity in effects through meta-regression models. Our final model included a meta-analysis of 38 studies with 207 effect sizes evaluating the efficacy of school-based MI. We estimated multivariate models using robust variance estimation with and without outliers. Our results demonstrate a significant estimated effect in favor of using MI to treat an array of behaviors (g = 0.18, 95% Prediction Interval [-0.26, 0.61]). Findings from the meta-regression analyses indicated three significant moderators: (a) the role of the interventionist, (b) target behaviors, and (c) dosage. We offer potential explanations of the findings and discuss current limitations and implications for future work regarding MI in school settings.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jsp.2024.101386DOI Listing

Publication Analysis

Top Keywords

school settings
16
motivational interviewing
8
students school
8
settings
5
interviewing students
4
school
4
settings meta-analysis
4
meta-analysis motivational
4
interviewing counseling
4
counseling intervention
4

Similar Publications

Background: Snakebite is a priority neglected tropical disease, but incidence data are lacking; current estimates rely upon incomplete health facility reports or ad hoc surveys. Spatial analysis methods harness statistical associations between case incidence and spatially varying factors to improve estimates. This systematic review aimed to identify variables associated with snakebite risk in spatial and temporal analyses for inclusion in geospatial studies to improve risk estimation accuracy.

View Article and Find Full Text PDF

Situational assessment of physical rehabilitation services in Zambia: issues and challenges.

Disabil Rehabil

January 2025

Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, Republic of South Africa.

Purpose: The necessity to enhance physical rehabilitation services in Zambia has been recognised. To achieve this through expanding human resources for health in rehabilitation and increasing service coverage, it is essential to comprehensively understand the current issues and challenges in physical rehabilitation within the country. This paper aimed to conduct a situational assessment of physical rehabilitation services in Zambia.

View Article and Find Full Text PDF

Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.

View Article and Find Full Text PDF

Advances in artificial intelligence (AI), machine learning, and publicly accessible language model tools such as ChatGPT-3.5 continue to shape the landscape of modern medicine and patient education. ChatGPT's open access (OA), instant, human-sounding interface capable of carrying discussion on myriad topics makes it a potentially useful resource for patients seeking medical advice.

View Article and Find Full Text PDF

Development of a nomogram for overall survival in patients with esophageal carcinoma: A prospective cohort study in China.

World J Gastrointest Oncol

January 2025

Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.

Background: Esophageal carcinoma (EC) presents a significant public health issue in China, with its prognosis impacted by myriad factors. The creation of a reliable prognostic model for the overall survival (OS) of EC patients promises to greatly advance the customization of treatment approaches.

Aim: To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.

View Article and Find Full Text PDF

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!