Clinical Instructors' Experience of Managing Students' Errors: A Qualitative Study
Related Experiment Video
Updated: Jul 22, 2026

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
Ronak Shahoei1, Mohammad Fathi, Sina Valiee
1About the Authors Ronak Shahoei, PhD, MSN, BSN, is an associate professor, Clinical Care Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran. Mohammad Fathi, PhD, MSN, BSN, is an assistant professor, and Sina Valiee, PhD, MSN, BSN, is an associate professor, Clinical Care Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran. This study was approved by Research Council of Kurdistan University of Medical Sciences No. 105 and the Code of Ethics Committee of Kurdistan University of Medical Sciences (IR.MUK.REC.1392.105). The researchers are grateful to the clinical instructors whose participation made this research possible and to the Vice Chancellor for Research & Technology, Kurdistan University of Medical Sciences. For more information, contact Dr. Valiee at Valiee@muk.ac.ir.
Abstract:
Given the importance of patient safety, this study aimed to explore clinical instructors' experience of managing students' errors. A qualitative approach was adopted to conduct semistructured interviews with 12 clinical nursing and midwifery instructors. Three main categories emerged: prevention (orienting, review of the knowledge, repeating procedure by instructor, checking steps prior to performing procedure, and reminding), action (correcting, monitoring and follow-up, and informing), and feedback (cause analysis, notifying, and affecting assessment). Patient safety and error management programs should be included in the nursing curriculum and nursing education.
Related Concept Videos
Case Studies
Hindsight Biases
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning, patient...
Types of Errors: Detection and Minimization
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Errors and Mistakes in Surveying

