Using Standardized Patient Simulation to Improve Nursing Students’ Perceptions, Knowledge, Beliefs, and Attitudes About People Who Use Drugs and Opioid Overdose Prevention

Educational interventions centering a harm-reductionist approach can improve knowledge and attitudes toward overdose prevention and attitudes toward individuals who use drugs.

Authors

Institutions

Publication Details

Journal
Nurse Educator
Published
2025-11-13
DOI
https://doi.org/10.1097/nne.0000000000002038
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Standardized Patient Simulation to Improve Nursing Students’ Perceptions, Knowledge, Beliefs, and Attitudes About People Who Use Drugs and Opioid Overdose Prevention

Brayden Kameg, Ann M. Mitchell, Emily Matthews, Madeline Lepore et al.
Nurse Educator
Opioid Use Disorder Treatment
article

Using Standardized Patient Simulation to Improve Nursing Students’ Perceptions, Knowledge, Beliefs, and Attitudes About People Who Use Drugs and Opioid Overdose Prevention

Brayden Kameg, Ann M. Mitchell, Emily Matthews, Madeline Lepore, Dawn L. Lindsay
article en

Abstract

Educational interventions centering a harm-reductionist approach can improve knowledge and attitudes toward overdose prevention and attitudes toward individuals who use drugs.

Nurse EducatorVol. 51(2)
Defence Research and Development Organisation (IN), University of Pittsburgh (US), Nnamdi Azikiwe University Teaching Hospital (NG)
Openalex Percentile: Top 56%
Opioid Use Disorder Treatment
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.